Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies
Request successful!

  0%|          | 0/1662 [00:00<?, ?it/s]
  0%|          | 1/1662 [00:01<31:07,  1.12s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  0%|          | 2/1662 [00:10<2:41:02,  5.82s/it]Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11406
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9881
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
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  Orbitrap ID-X: missing value
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 1
Returning 52 rows!
Added 52 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS19
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Q-Tof Premier: missing value
IonizationSourceAndPolarity:
  electrospray ionization: missing value
ENVOEnvironmentBiome:
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 360 rows!
Added 360 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11379
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1014
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS93
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS94
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  0%|          | 7/1662 [00:34<2:35:29,  5.64s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  0%|          | 8/1662 [00:38<2:22:09,  5.16s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 9/1662 [00:43<2:14:48,  4.89s/it]
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Number of rows removed due to not enough metadata: 0
Returning 456 rows!
Added 456 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS95
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS96
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Agilent 5975C MSD: missing value
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FILES
SBEP_Microbiome_001.CDF
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SBEP_Microbiome_002.CDF
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SBEP_Microbiome_003.CDF
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SBEP_Microbiome_004.CDF
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SBEP_Microbiome_005.CDF
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SBEP_Microbiome_006.CDF
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SBEP_Microbiome_007.CDF
FILES
SBEP_Microbiome_008.CDF
FILES
SBEP_Microbiome_009.CDF
FILES
SBEP_Microbiome_010.CDF
FILES
SBEP_Microbiome_011.CDF
FILES
SBEP_Microbiome_012.CDF
FILES
SBEP_Microbiome_013.CDF
FILES
SBEP_Microbiome_014.CDF
FILES
SBEP_Microbiome_015.CDF
FILES
SBEP_Microbiome_016.CDF
FILES
SBEP_Microbiome_017.CDF
FILES
SBEP_Microbiome_018.CDF
FILES
SBEP_Microbiome_019.CDF
FILES
SBEP_Microbiome_020.CDF
FILES
SBEP_Microbiome_021.CDF
FILES
SBEP_Microbiome_022.CDF
FILES
SBEP_Microbiome_023.CDF
FILES
SBEP_Microbiome_024.CDF
FILES
SBEP_Microbiome_025.CDF
FILES
SBEP_Microbiome_026.CDF
FILES
SBEP_Microbiome_027.CDF
FILES
SBEP_Microbiome_028.CDF
FILES
SBEP_Microbiome_029.CDF
FILES
SBEP_Microbiome_030.CDF
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS98
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 10/1662 [00:48<2:21:46,  5.15s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 11/1662 [00:54<2:24:11,  5.24s/it]
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
FILES
Data130918 Phuong.wiff
FILES
Data_130911_Phuong.wiff
FILES
Data_130913_Phuong.wiff
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 3 rows!
Added 3 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1024
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
ChromatographyAndPhase:
  : missing value
FILES
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KN210_1046_ppl_neg_400k_run2.raw
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KN210_12_ppl_neg_400k_rerun.raw
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FILES
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FILES
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 25 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1039
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6520 Q-TOF: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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13-157_1dpi_Flg22_1_150306.mzXML
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DERIVED_FILES
13-158_1dpi_Flg22_2_150306.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 12/1662 [00:58<2:19:08,  5.06s/it]
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1040
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
FILES
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 978
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1041
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 14/1662 [01:28<4:22:30,  9.56s/it]
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 256 rows!
Added 256 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS300
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 15/1662 [02:56<15:05:00, 32.97s/it]
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Number of rows removed due to not enough metadata: 0
Returning 3940 rows!
Added 3940 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS106
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 16/1662 [03:00<11:09:20, 24.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 17/1662 [03:05<8:31:06, 18.64s/it] 
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1066
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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FILES
000_DaLi_H9M9_Blank_01_neg_05.mzML
FILES
000_DaLi_H9M9_Blank_01_neg_06_HILIC.mzML
FILES
000_DaLi_H9M9_Blank_01_pos_06.mzML
FILES
000_DaLi_H9M9_Blank_01_pos_06_HILIC.mzML
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003_DaLi_H9M9_Pool_01_neg_08.mzML
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003_DaLi_H9M9_Pool_01_neg_09_HILIC.mzML
FILES
003_DaLi_H9M9_Pool_01_pos_09.mzML
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003_DaLi_H9M9_Pool_01_pos_09_HILIC.mzML
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014_DaLi_H9M9_H_C_R1_neg_19.mzML
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014_DaLi_H9M9_H_C_R1_neg_20_HILIC.mzML
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014_DaLi_H9M9_H_C_R1_pos_20.mzML
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014_DaLi_H9M9_H_C_R1_pos_20_HILIC.mzML
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017_DaLi_H9M9_BC_MCT_R1_neg_22.mzML
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017_DaLi_H9M9_BC_MCT_R1_neg_23_HILIC.mzML
FILES
017_DaLi_H9M9_BC_MCT_R1_pos_23.mzML
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017_DaLi_H9M9_BC_MCT_R1_pos_23_HILIC.mzML
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019_DaLi_H9M9_H_LCT_R1_neg_25_HILIC.mzML
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019_DaLi_H9M9_H_LCT_R1_pos_25_HILIC.mzML
FILES
032_DaLi_H9M9_BC_C_R1_neg_37.mzML
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032_DaLi_H9M9_BC_C_R1_neg_38_HILIC.mzML
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032_DaLi_H9M9_BC_C_R1_pos_38.mzML
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032_DaLi_H9M9_BC_C_R1_pos_38_HILIC.mzML
FILES
033_DaLi_H9M9_H_MCT_R1_neg_38.mzML
FILES
033_DaLi_H9M9_H_MCT_R1_neg_39_HILIC.mzML
FILES
033_DaLi_H9M9_H_MCT_R1_pos_39.mzML
FILES
033_DaLi_H9M9_H_MCT_R1_pos_39_HILIC.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Term Source REF.5
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1073
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
neg_mock-1_a.raw
FILES
neg_mock-1_b.raw
FILES
neg_mock-2_a.raw
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neg_mock-2_b.raw
FILES
neg_mock-3_a.raw
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neg_mock-3_b.raw
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neg_sub-1_a.raw
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neg_wt-2_b.raw
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neg_wt-3_a.raw
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neg_wt-3_b.raw
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pos_mock-1_a.raw
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pos_mock-2_a.raw
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pos_sub-1_a.raw
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pos_sub-3_a.raw
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pos_sub-3_b.raw
FILES
pos_wt-1_a.raw
FILES
pos_wt-1_b.raw
FILES
pos_wt-2_a.raw
FILES
pos_wt-2_b.raw
FILES
pos_wt-3_a.raw
FILES
pos_wt-3_b.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Virus
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 18/1662 [03:11<6:41:26, 14.65s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|          | 19/1662 [03:18<5:38:38, 12.37s/it]
  1%|          | 20/1662 [03:19<4:03:27,  8.90s/it]
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IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1085
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
01.raw
FILES
01A.raw
FILES
01B.raw
FILES
02.raw
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02A.raw
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03.raw
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88.raw
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89.raw
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90.raw
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91.raw
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92.raw
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93.raw
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94.raw
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95.raw
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
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IGNORED:  Assay_Autosampler model
IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 215 rows!
Added 215 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1093
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1095
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS110
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
B-car_A_220h.raw
FILES
B-car_A_221f.raw
FILES
B-car_A_221j.raw
FILES
B-car_A_223j.raw
FILES
B-car_A_223l.raw
FILES
B-car_A_223m.raw
FILES
B-car_A_224g.raw
FILES
B-car_A_224h.raw
FILES
B-car_A_224k.raw
FILES
B-car_A_290a.raw
FILES
B-car_A_290e.raw
FILES
B-car_A_290f.raw
FILES
B-car_B_221e.raw
FILES
B-car_B_222g.raw
FILES
B-car_B_223c.raw
FILES
B-car_B_223h.raw
FILES
B-car_B_223n.raw
FILES
B-car_B_224b.raw
FILES
B-car_B_224e.raw
FILES
B-car_B_224f.raw
FILES
B-car_B_224i.raw
FILES
B-car_B_224j.raw
FILES
B-car_B_224l.raw
FILES
B-car_B_291g.raw
FILES
B-car_C_220a.raw
FILES
B-car_C_220d.raw
FILES
B-car_C_221a.raw
FILES
B-car_C_222e.raw
FILES
B-car_C_222i.raw
FILES
B-car_C_223a.raw
FILES
B-car_C_223b.raw
FILES
B-car_C_223d.raw
FILES
B-car_C_223e.raw
FILES
B-car_C_223f.raw
FILES
B-car_C_223i.raw
FILES
B-car_C_291e.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|▏         | 23/1662 [03:25<2:04:26,  4.56s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  1%|▏         | 24/1662 [03:28<1:59:16,  4.37s/it]
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Phytohormones
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Carotenoids
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS111
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Lyc_A_221f.raw
FILES
Lyc_A_221i.raw
FILES
Lyc_A_221j.raw
FILES
Lyc_A_223h.raw
FILES
Lyc_A_223j.raw
FILES
Lyc_A_223l.raw
FILES
Lyc_A_223m.raw
FILES
Lyc_A_223n.raw
FILES
Lyc_A_224i.raw
FILES
Lyc_A_224k.raw
FILES
Lyc_A_290f.raw
FILES
Lyc_A_290h.raw
FILES
Lyc_B_220e.raw
FILES
Lyc_B_220f.raw
FILES
Lyc_B_221e.raw
FILES
Lyc_B_222f.raw
FILES
Lyc_B_222g.raw
FILES
Lyc_B_223c.raw
FILES
Lyc_B_223e.raw
FILES
Lyc_B_223i.raw
FILES
Lyc_B_224a.raw
FILES
Lyc_B_224f.raw
FILES
Lyc_B_290g.raw
FILES
Lyc_B_291g.raw
FILES
Lyc_C_220a.raw
FILES
Lyc_C_220d.raw
FILES
Lyc_C_221a.raw
FILES
Lyc_C_223a.raw
FILES
Lyc_C_223b.raw
FILES
Lyc_C_223d.raw
FILES
Lyc_C_223f.raw
FILES
Lyc_C_224b.raw
FILES
Lyc_C_224d.raw
FILES
Lyc_C_224e.raw
FILES
Lyc_C_291d.raw
FILES
Lyc_C_291e.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Phytohormones
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Carotenoids
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1115
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
F0_1_neg.wiff
FILES
F0_1_pos.wiff
FILES
F0_2_neg.wiff
FILES
F0_2_pos.wiff
FILES
F0_3_neg.wiff
FILES
F0_3_pos.wiff
FILES
F12_1_neg.wiff
FILES
F12_1_pos.wiff
FILES
F12_2_neg.wiff
FILES
F12_2_pos.wiff
FILES
F12_3_neg.wiff
FILES
F12_3_pos.wiff
FILES
F24_1_neg.wiff
FILES
F24_1_pos.wiff
FILES
F24_2_neg.wiff
FILES
F24_2_pos.wiff
FILES
F24_3_neg.wiff
FILES
F24_3_pos.wiff
FILES
F48_1_neg.wiff
FILES
F48_1_pos.wiff
FILES
F48_2_neg.wiff
FILES
F48_2_pos.wiff
FILES
F48_3_neg.wiff
FILES
F48_3_pos.wiff
FILES
QC01_neg.wiff
FILES
QC01_pos.wiff
FILES
QC02_neg.wiff
FILES
QC02_pos.wiff
FILES
QC03_neg.wiff
FILES
QC03_pos.wiff
FILES
QC04_neg.wiff
FILES
QC04_pos.wiff
FILES
TQC01_neg.wiff
FILES
TQC01_pos.wiff
FILES
TQC02_neg.wiff
FILES
TQC02_pos.wiff
FILES
TQC03_neg.wiff
FILES
TQC03_pos.wiff
FILES
X0_1_neg.wiff
FILES
X0_1_pos.wiff
FILES
X0_2_neg.wiff
FILES
X0_2_pos.wiff
FILES
X0_3_neg.wiff
FILES
X0_3_pos.wiff
FILES
X12_1_neg.wiff
FILES
X12_1_pos.wiff
FILES
X12_2_neg.wiff
FILES
X12_2_pos.wiff
FILES
X12_3_neg.wiff
FILES
X12_3_pos.wiff
FILES
X18_1_neg.wiff
FILES
X18_1_pos.wiff
FILES
X18_2_neg.wiff
FILES
X18_2_pos.wiff
FILES
X18_3_neg.wiff
FILES
X18_3_pos.wiff
FILES
X24_1_neg.wiff
FILES
X24_1_pos.wiff
FILES
X24_2_pos.wiff
FILES
X24_3_neg.wiff
FILES
X24_3_pos.wiff
FILES
X6_1_neg.wiff
FILES
X6_1_pos.wiff
FILES
X6_2_neg.wiff
FILES
X6_2_pos.wiff
FILES
X6_3_neg.wiff
FILES
X6_3_pos.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  2%|▏         | 25/1662 [03:33<1:59:28,  4.38s/it]
  2%|▏         | 26/1662 [03:34<1:31:42,  3.36s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  2%|▏         | 27/1662 [03:37<1:32:43,  3.40s/it]
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Samples_Viral exposure
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 67 rows!
Added 67 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS112
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1127
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX API 4000: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
F10-1.mzML
FILES
F10-2.mzML
FILES
F10-3.mzML
FILES
F6-1.mzML
FILES
F6-2.mzML
FILES
F6-3.mzML
FILES
F7-1.mzML
FILES
F7-2.mzML
FILES
F7-3.mzML
FILES
F8-1.mzML
FILES
F8-2.mzML
FILES
F8-3.mzML
FILES
F9-1.mzML
FILES
F9-2.mzML
FILES
F9-3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Olive fruit maturation
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1130
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QC01.mzML
FILES
QC02.mzML
FILES
QC03.mzML
FILES
QC04.mzML
FILES
QC05.mzML
FILES
QC06.mzML
FILES
QC07.mzML
FILES
QC08.mzML
FILES
QC09.mzML
FILES
QC10.mzML
FILES
QC11.mzML
FILES
QC12.mzML
FILES
QC13.mzML
FILES
QC14.mzML
FILES
QC15.mzML
FILES
QC16.mzML
FILES
QC17.mzML
FILES
QC18.mzML
FILES
QC19.mzML
FILES
QC20.mzML
FILES
QC21.mzML
FILES
QC22.mzML
FILES
QC23.mzML
FILES
QC24.mzML
FILES
QC25.mzML
FILES
QC26.mzML
FILES
QC27.mzML
FILES
QC28.mzML
FILES
menLCCstage1_1122.mzML
FILES
menLCCstage1_1532.mzML
FILES
menLCCstage1_1941.mzML
FILES
menLCCstage1_1969.mzML
FILES
menLCCstage1_2516.mzML
FILES
menLCCstage1_26.mzML
FILES
menLCCstage1_2634.mzML
FILES
menLCCstage1_270.mzML
FILES
menLCCstage1_507.mzML
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Ion source
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Number of rows removed due to not enough metadata: 0
Returning 264 rows!
Added 264 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1132
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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SL12_2_7_BB7_01_4325.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1133
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6520A Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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FILES
P72.b1_pos.d
FILES
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FILES
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P76_b1_pos.d
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P82_b1_pos.d/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  2%|▏         | 30/1662 [03:56<2:23:55,  5.29s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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FILES
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FILES
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FILES
P86_b1_pos.d
FILES
P87_b1_pos.d
FILES
P88_b1_pos.d
FILES
P89_b1_pos.d
FILES
P8_b1_pos.d
FILES
P90_b1_pos.d
FILES
P91_b1_pos.d
FILES
P92_b1_pos.d
FILES
P93_b1_pos.d
FILES
P94_b2_pos.d
FILES
P95_b2_pos.d
FILES
P96_b2_pos.d
FILES
P97_b2_pos.d
FILES
P98_b2_pos.d
FILES
P99_b2_pos.d
FILES
P9_b1_pos.d
FILES
QC1_b1_pos.d
FILES
Solvent1_b1_pos.d
FILES
blankNO injection1_b1_pos.d
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 168 rows!
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1140
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CON1_neg.wiff
FILES
CON2_neg.wiff
FILES
CON3_neg.wiff
FILES
CON4_neg.wiff
FILES
CON5_neg.wiff
FILES
CON6_neg.wiff
FILES
CON7_neg.wiff
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FILES
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FILES
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FILES
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FILES
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FILES
LPS6_neg.wiff
FILES
LPS7_neg.wiff
FILES
QC01_neg.wiff
FILES
QC02_neg.wiff
FILES
QC03_neg.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 17 rows!
Added 17 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1145
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS116
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1167
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
AmBRAcl1_1.neg.mzXML
FILES
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AmBRAcl1_2.neg.mzXML
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FILES
pooled_8.neg.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  2%|▏         | 34/1662 [04:07<1:37:15,  3.58s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
pooled_8.pos.mzXML
FILES
pooled_9.neg.mzXML
FILES
pooled_9.pos.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 62 rows!
Added 62 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1183
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1188
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 12
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1198
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS12
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1217
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IGNORED:  Samples_Sample type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  2%|▏         | 39/1662 [04:19<1:09:39,  2.57s/it]
IGNORED:  Samples_Term Source REF.5
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Number of rows removed due to not enough metadata: 0
Returning 11 rows!
Added 11 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1219
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  2%|▏         | 40/1662 [04:35<3:01:27,  6.71s/it]
IGNORED:  Is Fluid
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Composition
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Solvent
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 92 rows!
Added 92 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS999
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6530 Accurate-Mass Q-TOF: missing value
FILES
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FILES
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FILES
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NEG_175_Norepanorin.mzXML
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NEG_177_Pinastric_acid.mzXML
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NEG_180_Calycin.mzXML
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NEG_180_Calycin_25eV.mzXML
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NEG_180_Calycin_40eV.mzXML
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NEG_181_Epanorin.mzXML
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NEG_181_Epanorin_10eV.mzXML
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NEG_182_Leprapinic_acid.mzXML
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NEG_190_Chrysophanol.mzXML
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NEG_191_Citreorosein.mzXML
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NEG_192_Emodic_acid.mzXML
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NEG_193_Emodin.mzXML
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NEG_194_Endocrocin.mzXML
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NEG_195_Erythroglaucin.mzXML
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NEG_196_Fallacinal.mzXML
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NEG_196_Fallacinal_10eV.mzXML
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NEG_197_Fallacinol.mzXML
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NEG_197_Fallacinol_Teloschistin_25eV.mzXML
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NEG_197_Fallacinol_Teloschistin_40eV.mzXML
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NEG_198_Fragilin.mzXML
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NEG_199_Parietin.mzXML
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NEG_199_Parietin_25eV.mzXML
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NEG_201_Rugulosin.mzXML
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NEG_202_Skyrin_25eV.mzXML
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NEG_203_Xanthorin.mzXML
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NEG_204_Solorinic_acid.mzXML
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NEG_205_Canarione.mzXML
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NEG_206_Canarione_dimethylether.mzXML
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NEG_207_Chiodectonic_acid.mzXML
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NEG_212_Thelephoric_acid.mzXML
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NEG_276_Norlichexanthone.mzXML
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NEG_278_Thiophanic_acid.mzXML
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NEG_280_Vinetorin.mzXML
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NEG_296_Mesoeryhthritol.mzXML
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NEG_303_Arabitol.mzXML
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NEG_305_Chloratranol.mzXML
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NEG_307_Divarinol.mzXML
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NEG_308_Haemoventosin.mzXML
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NEG_309_Leoidin.mzXML
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NEG_310_Methyl_Haematommate.mzXML
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NEG_310_Methyl_Haematommate_25eV.mzXML
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NEG_312_Obtusatic_acid.mzXML
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NEG_312_Obtusatic_acid_7eV.mzXML
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NEG_313_Protolichesterinic_acid.mzXML
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NEG_313_Protolichesterinic_acid_10eV.mzXML
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NEG_313_Protolichesterinic_acid_40eV.mzXML
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NEG_314_Scensidin.mzXML
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NEG_314_Scensidin_10eV.mzXML
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NEG_314_Scensidin_25eV.mzXML
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NEG_314_Scensidin_40eV.mzXML
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NEG_315_Beta_Collatolic_acid.mzXML
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NEG_315_Beta_Collatolic_acid_10eV.mzXML
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NEG_315_Beta_Collatolic_acid_25eV.mzXML
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NEG_315_Beta_Collatolic_acid_40eV.mzXML
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NEG_317_Mycosporine_glutaminol.mzXML
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NEG_318_Mycosporine_glutamicol.mzXML
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NEG_318_Mycosporine_glutamicol_10eV.mzXML
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NEG_318_Mycosporine_glutamicol_25eV.mzXML
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NEG_318_Mycosporine_glutamicol_40eV.mzXML
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NEG_323_Buellin.mzXML
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NEG_323_Buellin_10eV.mzXML
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NEG_323_Buellin_25eV.mzXML
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NEG_323_Buellin_40eV.mzXML
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NEG_324_Secalonic_acid_F.mzXML
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NEG_324_Secalonic_acid_F_25eV.mzXML
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NEG_324_Secalonic_acid_F_40eV.mzXML
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NEG_325_Secalonic_acid_D.mzXML
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NEG_325_Secalonic_acid_D_10eV.mzXML
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NEG_325_Secalonic_acid_D_25eV.mzXML
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NEG_325_Secalonic_acid_D_40eV.mzXML
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NEG_326_Isoskyrin_10eV.mzXML
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NEG_326_Isoskyrin_25eV.mzXML
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NEG_326_Isoskyrin_40eV.mzXML
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NEG_327_Secalonic_acid_B.mzXML
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NEG_327_Secalonic_acid_B_10eV.mzXML
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NEG_327_Secalonic_acid_B_25eV.mzXML
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NEG_327_Secalonic_acid_B_40eV.mzXML
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NEG_328_Hydroxyhaemoventosine.mzXML
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NEG_329_Methoxyhaemoventosin.mzXML
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NEG_329_Methoxyhaemoventosin_10eV.mzXML
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NEG_329_Methoxyhaemoventosin_25eV.mzXML
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NEG_329_Methoxyhaemoventosin_40eV.mzXML
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POS_007_12_Desoxydiacetylpyxinol.mzXML
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POS_007_12_Desoxydiacetylpyxinol_20eV.mzXML
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POS_007_12_Desoxydiacetylpyxinol_35eV.mzXML
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POS_007_12_Desoxydiacetylpyxinol_5eV.mzXML
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POS_015_2_8_Dimethyl_5_7_dimethoxychromon.mzXML
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POS_015_2_8_Dimethyl_5_7_dimethoxychromon_20eV.mzXML
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POS_015_2_8_Dimethyl_5_7_dimethoxychromon_5eV.mzXML
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POS_016_5_7_Dihydroxy_2_6_8_trimethylchromon.mzXML
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POS_016_5_7_Dihydroxy_2_6_8_trimethylchromon_20eV.mzXML
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POS_016_5_7_Dihydroxy_2_6_8_trimethylchromon_5eV.mzXML
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POS_021_Eugenitin.mzXML
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POS_021_Eugenitin_20eV.mzXML
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POS_021_Eugenitin_35eV.mzXML
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POS_021_Eugenitin_5eV.mzXML
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POS_022_Eugenitol.mzXML
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POS_022_Eugenitol_20eV.mzXML
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POS_022_Eugenitol_35eV.mzXML
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POS_022_Eugenitol_5eV.mzXML
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POS_023_Galapagin.mzXML
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POS_023_Galapagin_20eV.mzXML
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POS_023_Galapagin_35eV.mzXML
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POS_023_Galapagin_5eV.mzXML
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POS_024_Isoeugenitol.mzXML
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POS_024_Isoeugenitol_20eV.mzXML
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POS_024_Isoeugenitol_35eV.mzXML
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POS_024_Isoeugenitol_5eV.mzXML
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POS_026_Lobodirin.mzXML
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POS_026_Lobodirin_20eV.mzXML
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POS_026_Lobodirin_35eV.mzXML
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POS_026_Lobodirin_5eV.mzXML
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POS_027_2_4_Dichlor_1_3_6_tri_O_methylnorlichexanthon.mzXML
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POS_027_2_4_Dichlor_1_3_6_tri_O_methylnorlichexanthon_35eV.mzXML
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POS_027_2_4_Dichlor_1_3_6_tri_O_methylnorlichexanthon_5eV.mzXML
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POS_029_Mollin.mzXML
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POS_029_Mollin_20eV.mzXML
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POS_029_Mollin_35eV.mzXML
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POS_029_Mollin_5eV.mzXML
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POS_030_Roccellin.mzXML
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POS_030_Roccellin_20eV.mzXML
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POS_030_Roccellin_35eV.mzXML
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POS_030_Roccellin_5eV.mzXML
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POS_032_2_5_Dichlor_1_3_6_tri_O_methylnorlichexanthon.mzXML
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POS_032_2_5_Dichlor_1_3_6_tri_O_methylnorlichexanthon_35eV.mzXML
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POS_032_2_5_Dichlor_1_3_6_tri_O_methylnorlichexanthon_5eV.mzXML
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POS_033_Rupicolin.mzXML
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POS_033_Rupicolin_sordidone_20eV.mzXML
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POS_033_Rupicolin_sordidone_35eV.mzXML
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POS_033_Rupicolin_sordidone_5eV.mzXML
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POS_035_Acetyllobodirin.mzXML
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POS_035_Acetyllobodirin_20eV.mzXML
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POS_035_Acetyllobodirin_35eV.mzXML
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POS_035_Acetyllobodirin_5eV.mzXML
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POS_129_Isokauren.mzXML
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POS_130_Kauren.mzXML
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POS_151_Simonyellin.mzXML
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POS_156_Aspicilin.mzXML
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POS_190_Chrysophanol.mzXML
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POS_191_Citreorosein.mzXML
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POS_192_Emodic_acid.mzXML
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POS_193_Emodin.mzXML
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POS_194_Endocrocin.mzXML
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POS_196_Fallacinal.mzXML
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POS_197_Fallacinol.mzXML
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POS_197_Fallacinol_Teloschistin_20eV.mzXML
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POS_197_Fallacinol_Teloschistin_5eV.mzXML
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POS_198_Fragilin.mzXML
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POS_199_Parietin.mzXML
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POS_200_Parietinic_acid.mzXML
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POS_201_Rugulosin.mzXML
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POS_281_Thuringione.mzXML
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POS_289_4_Chloro_6_O_methylnorlichexanthone.mzXML
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POS_290_2_5_Dichlorolichexanthone.mzXML
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POS_292_Lichexanthone.mzXML
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POS_292_Lichexanthone_20eV.mzXML
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POS_292_Lichexanthone_35eV.mzXML
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POS_300_1_3_6_tri_O_methylarthothelin.mzXML
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POS_300_1_3_6_tri_O_methylarthothelin_5eV.mzXML
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POS_301_2_5_7_trichlorolichexanthone.mzXML
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POS_308_Haemoventosin.mzXML
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POS_308_Haemoventosin_20eV.mzXML
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POS_308_Haemoventosin_35eV.mzXML
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POS_308_Haemoventosin_5eV.mzXML
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POS_316_Mycosporine_serinol.mzXML
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POS_316_Mycosporine_serinol_20eV.mzXML
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POS_316_Mycosporine_serinol_35eV.mzXML
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POS_316_Mycosporine_serinol_5eV.mzXML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  2%|▏         | 41/1662 [04:57<4:59:51, 11.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  3%|▎         | 42/1662 [05:01<4:01:47,  8.96s/it]
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
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IGNORED:  keep
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Adduct
Number of rows removed due to not enough metadata: 1314
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1223
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters ACQUITY TQD: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1225
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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SMD4-NEG.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 126 rows!
Added 126 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1257
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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2019_0208_Pooled_4.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  3%|▎         | 44/1662 [05:16<3:46:09,  8.39s/it]
  3%|▎         | 45/1662 [05:21<3:16:19,  7.28s/it]
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
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IGNORED:  filepath
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IGNORED:  Assay_Labeled Extract Name
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Number of rows removed due to not enough metadata: 0
Returning 250 rows!
Added 250 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1264
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1282
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus HT TOFMS: missing value
  Thermo Scientific Q Exactive: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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8_pos.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Time Point
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 176 rows!
Added 176 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1295
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  XEVO TQ-S mass spectrometer: missing value
IonizationSourceAndPolarity:
   (negative): missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20190410_BLANK_0101.CDF
FILES
20190410_BLANK_0102.CDF
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20190410_BLANK_0103.CDF
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_BioSamples Accession
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 100 rows!
Added 100 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS13
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1301
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
FILES
DKFZ_Haikum_Pooled_QC_neg_1.mzXML
FILES
DKFZ_Haikum_Pooled_QC_neg_2.mzXML
FILES
DKFZ_Haikum_Pooled_QC_neg_3.mzXML
FILES
DKFZ_Haikum_Samples_NSC_neg_rep_1.mzXML
FILES
DKFZ_Haikum_Samples_NSC_neg_rep_2.mzXML
FILES
DKFZ_Haikum_Samples_NSC_neg_rep_3.mzXML
FILES
DKFZ_Haikum_Samples_T691_neg_rep_1.mzXML
FILES
DKFZ_Haikum_Samples_T691_neg_rep_2.mzXML
FILES
DKFZ_Haikum_Samples_T691_neg_rep_3.mzXML
FILES
DKFZ_Haikum_Samples_TUM6_neg_rep_1.mzXML
FILES
DKFZ_Haikum_Samples_TUM6_neg_rep_2.mzXML
FILES
DKFZ_Haikum_Samples_TUM6_neg_rep_3.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1302
Request successful!
SampleCollectionMethod: ADDED!
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InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific ISQ: missing value
  Shimadzu GCMS-QP5000: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
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FILES
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FILES
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FILES
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FILES
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  3%|▎         | 50/1662 [05:49<2:33:03,  5.70s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  3%|▎         | 51/1662 [05:56<2:40:07,  5.96s/it]IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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Number of rows removed due to not enough metadata: 4
Returning 0 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1309
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 86 rows!
Added 86 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1311
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
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SWATH-POS-Metab-Mix-10ng-ml_r2.wiff.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  3%|▎         | 52/1662 [06:01<2:36:24,  5.83s/it]
FILES
DERIVED_FILES
POS
SWATH-POS-Metab-Mix-10ng-ml_r3.wiff.mzML
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 42
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1319
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Drug concentration
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  3%|▎         | 53/1662 [06:11<3:04:27,  6.88s/it]
  3%|▎         | 54/1662 [06:11<2:15:17,  5.05s/it]
  3%|▎         | 55/1662 [06:12<1:41:13,  3.78s/it]IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_NT_code
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Drug
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 115
Returning 140 rows!
Added 140 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS132
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1320
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS135
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA05NEG20150318_DFCI1014_SERUM_30.mzML
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QXA05NEG20150323_DFCI1014_PROSTATE_2_10.mzML
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QXA05NEG20150323_DFCI1014_PROSTATE_2_11.mzML
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QXA06POL20150323_DFCI1014_PROSTATE_2_25.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  3%|▎         | 56/1662 [06:19<2:06:01,  4.71s/it]
FILES
QXA06POL20150323_DFCI1014_PROSTATE_2_27.mzML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1369
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QExHF03_HPLC_0000090.mzML
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QExHF03_HPLC_0000168.mzML
FILES
QExHF03_HPLC_0000169.mzML
FILES
QExHF03_HPLC_0000170.mzML
FILES
QExHF03_HPLC_0000171.mzML
FILES
QExHF03_HPLC_0000172.mzML
FILES
QExHF03_HPLC_0000173.mzML
FILES
QExHF03_HPLC_0000174.mzML
FILES
QExHF03_HPLC_0000175.mzML
FILES
QExHF03_HPLC_0000176.mzML
FILES
QExHF03_HPLC_0000177.mzML
FILES
QExHF03_HPLC_0000178.mzML
FILES
QExHF03_HPLC_0000179.mzML
FILES
QExHF03_HPLC_0000180.mzML
FILES
QExHF03_HPLC_0000181.mzML
FILES
QExHF03_HPLC_0000182.mzML
FILES
QExHF03_HPLC_0000183.mzML
FILES
QExHF03_HPLC_0000184.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Run order
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  3%|▎         | 57/1662 [06:27<2:30:27,  5.62s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  3%|▎         | 58/1662 [06:31<2:16:39,  5.11s/it]
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 7
Returning 78 rows!
Added 78 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS137
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
L002_QC_RP_POS01.CDF
FILES
L003_QC_RP_pos01.CDF
FILES
L004_QC_RP_pos01.CDF
FILES
L005_001_LRGe_RP_pos01.CDF
FILES
L006_002_LPIh_RP_pos01.CDF
FILES
L007_003_LRIj_RP_pos01.CDF
FILES
L008_004_LRIh_RP_pos01.CDF
FILES
L009_005_LRGa_RP_pos01.CDF
FILES
L010_006_LRGh_RP_pos01.CDF
FILES
L011_QC_RP_pos01.CDF
FILES
L012_007_LRGc_RP_pos01.CDF
FILES
L013_008_LRIc_RP_pos01.CDF
FILES
L014_009_LRIg_RP_pos01.CDF
FILES
L015_010_LPIi_RP_pos01.CDF
FILES
L016_011_LPGb_RP_pos01.CDF
FILES
L017_012_LRGf_RP_pos01.CDF
FILES
L018_QC_RP_pos01.CDF
FILES
L019_013_LRIa_RP_pos01.CDF
FILES
L020_014_LPGf_RP_pos01.CDF
FILES
L021_015_LPIj_RP_pos01.CDF
FILES
L022_016_LRGd_RP_pos01.CDF
FILES
L023_017_LPGc_RP_pos01.CDF
FILES
L024_018_LPIg_RP_pos01.CDF
FILES
L025_QC_RP_pos01.CDF
FILES
L026_019_LPIc_RP_pos01.CDF
FILES
L027_020_LRGb_RP_pos01.CDF
FILES
L028_021_LRIf_RP_pos01.CDF
FILES
L029_022_LRGg_RP_pos01.CDF
FILES
L030_023_LPIa_RP_pos01.CDF
FILES
L031_024_LRGi_RP_pos01.CDF
FILES
L032_QC_RP_pos01.CDF
FILES
L033_025_LPGd_RP_pos01.CDF
FILES
L034_026_LRIb_RP_pos01.CDF
FILES
L035_027_LPGh_RP_pos01.CDF
FILES
L036_028_LPIb_RP_pos01.CDF
FILES
L037_029_LPGe_RP_pos01.CDF
FILES
L038_030_LPIf_RP_pos01.CDF
FILES
L039_QC_RP_pos01.CDF
FILES
L040_031_LPIe_RP_pos01.CDF
FILES
L041_032_LRIi_RP_pos01.CDF
FILES
L042_033_LPGj_RP_pos01.CDF
FILES
L043_034_LRId_RP_pos01.CDF
FILES
L044_035_LPId_RP_pos01.CDF
FILES
L045_036_LPGi_RP_pos01.CDF
FILES
L046_QC_RP_pos01.CDF
FILES
L047_037_LPGa_RP_pos01.CDF
FILES
L048_038_LRIe_RP_pos01.CDF
FILES
L049_039_LRGj_RP_pos01.CDF
FILES
L050_040_LPGg_RP_pos01.CDF
FILES
L051_QC_RP_pos01.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Variety
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Country
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1382
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QExHF03_HPLC_0000193.mzML
FILES
QExHF03_HPLC_0000194.mzML
FILES
QExHF03_HPLC_0000195.mzML
FILES
QExHF03_HPLC_0000196.mzML
FILES
QExHF03_HPLC_0000197.mzML
FILES
QExHF03_HPLC_0000198.mzML
FILES
QExHF03_HPLC_0000199.mzML
FILES
QExHF03_HPLC_0000200.mzML
FILES
QExHF03_HPLC_0000201.mzML
FILES
QExHF03_HPLC_0000202.mzML
FILES
QExHF03_HPLC_0000203.mzML
FILES
QExHF03_HPLC_0000204.mzML
FILES
QExHF03_HPLC_0000205.mzML
FILES
QExHF03_HPLC_0000206.mzML
FILES
QExHF03_HPLC_0000207.mzML
FILES
QExHF03_HPLC_0000208.mzML
FILES
QExHF03_HPLC_0000209.mzML
FILES
QExHF03_HPLC_0000213.mzML
FILES
QExHF03_HPLC_0000214.mzML
FILES
QExHF03_HPLC_0000215.mzML
FILES
QExHF03_HPLC_0000216.mzML
FILES
QExHF03_HPLC_0000217.mzML
FILES
QExHF03_HPLC_0000218.mzML
FILES
QExHF03_HPLC_0000219.mzML
FILES
QExHF03_HPLC_0000220.mzML
FILES
QExHF03_HPLC_0000221.mzML
FILES
QExHF03_HPLC_0000222.mzML
FILES
QExHF03_HPLC_0000223.mzML
FILES
QExHF03_HPLC_0000224.mzML
FILES
QExHF03_HPLC_0000225.mzML
FILES
QExHF03_HPLC_0000226.mzML
FILES
QExHF03_HPLC_0000227.mzML
FILES
QExHF03_HPLC_0000228.mzML
FILES
QExHF03_HPLC_0000229.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  4%|▎         | 59/1662 [06:37<2:24:05,  5.39s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  4%|▎         | 60/1662 [06:40<2:08:57,  4.83s/it]
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Sample extract
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1383
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
141204_KUY001_ESI_n.raw
FILES
141204_KUY002_ESI_n.raw
FILES
141204_KUY003_ESI_n.raw
FILES
141204_KUY004_ESI_n.raw
FILES
141204_KUY005_ESI_n.raw
FILES
141204_KUY006_ESI_n.raw
FILES
141204_KUY007_ESI_n.raw
FILES
141204_KUY008_ESI_n.raw
FILES
141204_KUY009_ESI_n.raw
FILES
141204_KUY010_ESI_n.raw
FILES
141204_KUY011_ESI_n.raw
FILES
141204_KUY012_ESI_n.raw
FILES
141204_KUYmock_n1_ESI_n.raw
FILES
141204_KUYmock_n2_ESI_n.raw
FILES
141204_KUYmock_n3_ESI_n.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Time point
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1386
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
EQC1.1.raw
FILES
EQC1.2.raw
FILES
EQC1.3.raw
FILES
EQC2.1.raw
FILES
EQC2.2.raw
FILES
EQC2.3.raw
FILES
IQC1 pool.1.raw
FILES
IQC1 pool.2.raw
FILES
IQC1 pool.3.raw
FILES
IQC2 pool.1.raw
FILES
IQC2 pool.2.raw
FILES
IQC2 pool.3.raw
FILES
MeOH.raw
FILES
MeOH_2.raw
FILES
STD 1ng-µl.2.raw
FILES
STD 1ng-µl.raw
FILES
Sepsis 24h 2.raw
FILES
Sepsis 24h 3.raw
FILES
Sepsis 24h 4.raw
FILES
Sepsis 24h 5.raw
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Operation
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  4%|▎         | 61/1662 [06:47<2:22:18,  5.33s/it]
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Collection timepoint
Number of rows removed due to not enough metadata: 2
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1388
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS14
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS142
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6530 Accurate-Mass Q-TOF: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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N4_methylantirhine.mzXML
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IGNORED:  Assay_Metabolite Assignment File
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Number of rows removed due to not enough metadata: 344
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1443
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS145
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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QXA07POSLAT20180416_WEIZ0218VW_MOUSE_MUSCLE2_27.mzML
FILES
QXA07POSLAT20180416_WEIZ0218VW_MOUSE_MUSCLE2_28.mzML
FILES
QXA07POSLAT20180416_WEIZ0218VW_MOUSE_MUSCLE2_30.mzML
IGNORED:  Samples_Exercise protocol
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IGNORED:  Assay_Term Accession Number.9
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IGNORED:  Assay_Term Accession Number.19
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
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IGNORED:  Samples_Term Source REF.5
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Time
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Term Source REF.13
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1463
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
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FILES
021419B-03.CDF
FILES
021419B-04.CDF
FILES
021419B-05.CDF
FILES
021419B-06.CDF
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021419B-07.CDF
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021419B-08.CDF
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021419B-09.CDF
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021419B-10.CDF
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021419B-11.CDF
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021419B-13.CDF
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021419B-14.CDF
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021419B-15.CDF
FILES
021419B-16.CDF
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021419B-17.CDF
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021419B-19.CDF
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021419B-20.CDF
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021419B-27.CDF
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021419B-28.CDF
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021419B-30.CDF
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021419B-31.CDF
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021419B-32.CDF
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021419B-33.CDF
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS149
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS15
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1503
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
FILES
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QCB01neg-QCB01.mzXML
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noLR10-neg-1.mzXML
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noLR10-neg-3.mzXML
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noLR10-pos-1.mzXML
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noLR10-pos-2.mzXML
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noLR10-pos-3.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1507
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-TQ8040: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
122_Dox_R1_10112016_13.CDF
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Cells_838_Off_R1_09122016_19.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Cells_838_Off_R2_09122016_20.CDF
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Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1509
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Agilent 5977B MSD: missing value
IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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Blanc_ASE_3_NEG_7.mzML
FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
mzml_non_dilue
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FILES
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Dilution Factor
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Penicillium roqueforti population
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Analytical replicate
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Assay
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Thermal Desorption unit
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Samples_Maturation stage
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  4%|▍         | 72/1662 [07:40<3:09:12,  7.14s/it]
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 48
Returning 494 rows!
Added 494 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1559
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6220 Accurate-Mass TOF: missing value
  Agilent 6230 Accurate-Mass TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
ABMP Rv3722c
NEG
Rv3722c-Active_T0_NEG-1.mzML
FILES
ABMP Rv3722c
NEG
Rv3722c-Active_T0_NEG-2.mzML
FILES
ABMP Rv3722c
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Rv3722c-Active_T0_NEG-3.mzML
FILES
ABMP Rv3722c
NEG
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FILES
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FILES
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Rv3722c-Active_T180_NEG-3.mzML
FILES
ABMP Rv3722c
NEG
Rv3722c-Active_T60_NEG-1.mzML
FILES
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FILES
ABMP Rv3722c
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FILES
ABMP Rv3722c
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Rv3722c-Control_T0_NEG-1.mzML
FILES
ABMP Rv3722c
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ABMP Rv3722c
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FILES
ABMP Rv3722c
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Rv3722c-Control_T180_NEG-1.mzML
FILES
ABMP Rv3722c
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ABMP Rv3722c
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FILES
ABMP Rv3722c
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FILES
ABMP Rv3722c
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FILES
ABMP Rv3722c
POS
Rv3722c-Active_T0_POS-2.mzML
FILES
ABMP Rv3722c
POS
Rv3722c-Active_T0_POS-3.mzML
FILES
ABMP Rv3722c
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Rv3722c-Active_T180_POS-1.mzML
FILES
ABMP Rv3722c
POS
Rv3722c-Active_T180_POS-2.mzML
FILES
ABMP Rv3722c
POS
Rv3722c-Active_T180_POS-3.mzML
FILES
ABMP Rv3722c
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Rv3722c-Active_T60_POS-1.mzML
FILES
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FILES
ABMP Rv3722c
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FILES
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Labeling
13C
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Labeling
13C
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FILES
Labeling
13C
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FILES
Labeling
13C
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
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FILES
Labeling
13C
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
ATC_13CGlu_24h-IP-3.mzML
FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
ATC_13CGlu_2h-IP-2.mzML
FILES
Labeling
13C
IP
ATC_13CGlu_2h-IP-3.mzML
FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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Labeling
13C
IP
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Labeling
13C
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Labeling
13C
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Labeling
13C
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Labeling
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Labeling
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Labeling
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13C
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Labeling
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Labeling
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Labeling
13C
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Labeling
13C
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Labeling
13C
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Labeling
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Labeling
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Labeling
13C
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Labeling
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Labeling
13C
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FILES
Labeling
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Labeling
13C
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Labeling
13C
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
13C
IP
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FILES
Labeling
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IP
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FILES
Labeling
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IP
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Labeling
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Labeling
13C
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FILES
Labeling
13C
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Labeling
13C
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Labeling
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Labeling
13C
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Labeling
13C
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Labeling
13C
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FILES
Labeling
13C
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FILES
Labeling
13C
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Labeling
13C
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Labeling
13C
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Labeling
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Labeling
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Labeling
13C
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Labeling
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Labeling
13C
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Labeling
13C
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Labeling
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Labeling
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Labeling
13C
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Labeling
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Labeling
13C
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Labeling
13C
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Labeling
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Labeling
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Labeling
13C
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Labeling
13C
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
noATC_13CGlu-T4-NEG-1.mzML
FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
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FILES
Labeling
13C
NEG
noATC_13CGlu-T8-NEG-1.mzML
FILES
Labeling
13C
NEG
noATC_13CGlu-T8-NEG-2.mzML
FILES
Labeling
13C
NEG
noATC_13CGlu-T8-NEG-3.mzML
FILES
Labeling
13C
NEG
noATC_T0-NEG-1.mzML
FILES
Labeling
13C
NEG
noATC_T0-NEG-2.mzML
FILES
Labeling
13C
NEG
noATC_T0-NEG-3.mzML
FILES
Labeling
15N
IP
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FILES
Labeling
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  4%|▍         | 73/1662 [07:49<3:28:23,  7.87s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  4%|▍         | 74/1662 [07:53<2:53:55,  6.57s/it]
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IGNORED:  Is Fluid
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IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
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IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
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IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
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IGNORED:  Samples_Active/Inactive Rv3722c
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Culture medium
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Ammonium Chloride
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 36
Returning 318 rows!
Added 318 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9948
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific ISQ: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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ATL2.raw
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Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1579
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS158
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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ENVOEnvironmentBiome:
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Group
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Time Point
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Animal ID
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
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IGNORED:  keep
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IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  Is Organ
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IGNORED:  base
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IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Instrument serial number
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  filename_lower
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IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
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Number of rows removed due to not enough metadata: 0/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  5%|▍         | 76/1662 [08:06<3:08:41,  7.14s/it]
Returning 360 rows!
Added 360 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS159
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
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IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Sample Name
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Number of rows removed due to not enough metadata: 0
Returning 95 rows!
Added 95 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10051
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
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FILES
22P11650001_OCTML_NEG.raw
FILES
22P11650001_OCTML_POS.raw
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22P11650005_OCTML_NEG.raw
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22P11650005_OCTML_POS.raw
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22P11650009_OCTML_NEG.raw
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22P11650009_OCTML_POS.raw
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22P11650013_OCTML_NEG.raw
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22P11650013_OCTML_POS.raw
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22P11650017_OCTML_NEG.raw
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22P11650017_OCTML_POS.raw
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22P11650021_OCTML_NEG.raw
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22P11650021_OCTML_POS.raw
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22P11650025_OCTML_NEG.raw
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22P11650025_OCTML_POS.raw
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22P11650033_OCTML_POS.raw
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22P11650037_OCTML_NEG.raw
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22P11650037_OCTML_POS.raw
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22P11650040_OCTML_POS.raw
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22P11650049_OCTML_NEG.raw
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 70 rows!
Added 70 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10103
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10118
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1015
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS102
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS103
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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  5%|▌         | 86/1662 [08:29<43:46,  1.67s/it]
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
  Agilent 6490 Triple Quadrupole: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
C18_CON_BASA_567795.mzXML
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C18_CON_BASA_574488.mzXML
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C18_CON_BASA_580552.mzXML
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HILIC_DIA_BASE_644540.mzXML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_HIAE
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1033
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1044
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1045
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS105
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
  LECO Pegasus: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
GC-SIM-MS_01.CDF
FILES
GC-SIM-MS_02.CDF
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GC-SIM-MS_04.CDF
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GC-SIM-MS_21.CDF
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GC-SIM-MS_71.CDF
FILES
GC-SIM-MS_72.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  5%|▌         | 87/1662 [08:36<1:29:30,  3.41s/it]
FILES
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GC-SIM-MS_76.CDF
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GC-SIM-MS_77.CDF
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GC-SIM-MS_84.CDF
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GC-SIM-MS_88.CDF
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GC-TOFMS_01.CDF
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GC-TOFMS_02.CDF
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GC-TOFMS_03.CDF
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GC-TOFMS_04.CDF
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GC-TOFMS_05.CDF
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GC-TOFMS_49.CDF
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GC-TOFMS_86.CDF
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GC-TOFMS_88.CDF
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GC-TOFMS_89.CDF
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GC-qMS_01.CDF
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GC-qMS_02.CDF
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GC-qMS_03.CDF
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GC-qMS_04.CDF
FILES
GC-qMS_05.CDF
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GC-qMS_06.CDF
FILES
GC-qMS_07.CDF
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GC-qMS_08.CDF
FILES
GC-qMS_09.CDF
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GC-qMS_10.CDF
FILES
GC-qMS_11.CDF
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GC-qMS_12.CDF
FILES
GC-qMS_13.CDF
FILES
GC-qMS_14.CDF
FILES
GC-qMS_15.CDF
FILES
GC-qMS_16.CDF
FILES
GC-qMS_17.CDF
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GC-qMS_18.CDF
FILES
GC-qMS_19.CDF
FILES
GC-qMS_20.CDF
FILES
GC-qMS_21.CDF
FILES
GC-qMS_22.CDF
FILES
GC-qMS_23.CDF
FILES
GC-qMS_24.CDF
FILES
GC-qMS_25.CDF
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GC-qMS_26.CDF
FILES
GC-qMS_27.CDF
FILES
GC-qMS_28.CDF
FILES
GC-qMS_29.CDF
FILES
GC-qMS_30.CDF
FILES
GC-qMS_31.CDF
FILES
GC-qMS_32.CDF
FILES
GC-qMS_33.CDF
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GC-qMS_34.CDF
FILES
GC-qMS_35.CDF
FILES
GC-qMS_36.CDF
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GC-qMS_37.CDF
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GC-qMS_38.CDF
FILES
GC-qMS_39.CDF
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GC-qMS_40.CDF
FILES
GC-qMS_41.CDF
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GC-qMS_42.CDF
FILES
GC-qMS_43.CDF
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GC-qMS_44.CDF
FILES
GC-qMS_45.CDF
FILES
GC-qMS_46.CDF
FILES
GC-qMS_47.CDF
FILES
GC-qMS_48.CDF
FILES
GC-qMS_49.CDF
FILES
GC-qMS_50.CDF
FILES
GC-qMS_51.CDF
FILES
GC-qMS_52.CDF
FILES
GC-qMS_53.CDF
FILES
GC-qMS_54.CDF
FILES
GC-qMS_55.CDF
FILES
GC-qMS_56.CDF
FILES
GC-qMS_57.CDF
FILES
GC-qMS_58.CDF
FILES
GC-qMS_59.CDF
FILES
GC-qMS_60.CDF
FILES
GC-qMS_61.CDF
FILES
GC-qMS_62.CDF
FILES
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FILES
GC-qMS_64.CDF
FILES
GC-qMS_65.CDF
FILES
GC-qMS_66.CDF
FILES
GC-qMS_67.CDF
FILES
GC-qMS_68.CDF
FILES
GC-qMS_69.CDF
FILES
GC-qMS_70.CDF
FILES
GC-qMS_71.CDF
FILES
GC-qMS_72.CDF
FILES
GC-qMS_73.CDF
FILES
GC-qMS_74.CDF
FILES
GC-qMS_75.CDF
FILES
GC-qMS_76.CDF
FILES
GC-qMS_77.CDF
FILES
GC-qMS_78.CDF
FILES
GC-qMS_79.CDF
FILES
GC-qMS_80.CDF
FILES
GC-qMS_81.CDF
FILES
GC-qMS_82.CDF
FILES
GC-qMS_83.CDF
FILES
GC-qMS_84.CDF
FILES
GC-qMS_85.CDF
FILES
GC-qMS_86.CDF
FILES
GC-qMS_87.CDF
FILES
GC-qMS_88.CDF
FILES
GC-qMS_89.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 267 rows!
Added 267 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1051
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus BT TOFMS: missing value
  Agilent 6550 iFunnel Q-TOF: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
P0302_fat_GCMS_none_f51_p21.cdf
FILES
P0302_fat_GCMS_none_f52_p22.cdf
FILES
P0302_fat_GCMS_none_f53_p05.cdf
FILES
P0302_fat_GCMS_none_f54_p14.cdf
FILES
P0302_fat_GCMS_none_f55_p15.cdf
FILES
P0302_fat_GCMS_none_f56_p03.cdf
FILES
P0302_fat_GCMS_none_f57_p20.cdf
FILES
P0302_fat_GCMS_none_f58_p24.cdf
FILES
P0302_fat_GCMS_none_f59_p02.cdf
FILES
P0302_fat_GCMS_none_f60_p04.cdf
FILES
P0302_fat_GCMS_none_f61_p08.cdf
FILES
P0302_fat_GCMS_none_f62_p12.cdf
FILES
P0302_fat_GCMS_none_f63_p11.cdf
FILES
P0302_fat_GCMS_none_f64_p13.cdf
FILES
P0302_fat_GCMS_none_f65_p16.cdf
FILES
P0302_fat_GCMS_none_f66_p18.cdf
FILES
P0302_fat_GCMS_none_f67_p23.cdf
FILES
P0302_fat_GCMS_none_f68_p06.cdf
FILES
P0302_fat_GCMS_none_f69_p01.cdf
FILES
P0302_fat_GCMS_none_f70_p07.cdf
FILES
P0302_fat_GCMS_none_f71_p10.cdf
FILES
P0302_fat_GCMS_none_f72_p17.cdf
FILES
P0302_fat_GCMS_none_f73_p19.cdf
FILES
P0302_fat_GCMS_none_f74_p25.cdf
FILES
P0302_fat_LCMS_negative_f51_p21.cdf
FILES
P0302_fat_LCMS_negative_f52_p22.cdf
FILES
P0302_fat_LCMS_negative_f53_p05.cdf
FILES
P0302_fat_LCMS_negative_f54_p14.cdf
FILES
P0302_fat_LCMS_negative_f55_p15.cdf
FILES
P0302_fat_LCMS_negative_f56_p03.cdf
FILES
P0302_fat_LCMS_negative_f57_p20.cdf
FILES
P0302_fat_LCMS_negative_f58_p24.cdf
FILES
P0302_fat_LCMS_negative_f59_p02.cdf
FILES
P0302_fat_LCMS_negative_f60_p04.cdf
FILES
P0302_fat_LCMS_negative_f61_p08.cdf
FILES
P0302_fat_LCMS_negative_f62_p12.cdf
FILES
P0302_fat_LCMS_negative_f63_p11.cdf
FILES
P0302_fat_LCMS_negative_f64_p13.cdf
FILES
P0302_fat_LCMS_negative_f65_p16.cdf
FILES
P0302_fat_LCMS_negative_f66_p18.cdf
FILES
P0302_fat_LCMS_negative_f67_p23.cdf
FILES
P0302_fat_LCMS_negative_f68_p06.cdf
FILES
P0302_fat_LCMS_negative_f69_p01.cdf
FILES
P0302_fat_LCMS_negative_f70_p07.cdf
FILES
P0302_fat_LCMS_negative_f71_p10.cdf
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P0302_fat_LCMS_negative_f72_p17.cdf
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P0302_fat_LCMS_negative_f73_p19.cdf
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P0302_fat_LCMS_negative_f74_p25.cdf
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P0302_fat_LCMS_positive_f51_p21.cdf
FILES
P0302_fat_LCMS_positive_f52_p22.cdf
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P0302_fat_LCMS_positive_f53_p05.cdf
FILES
P0302_fat_LCMS_positive_f54_p14.cdf
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P0302_fat_LCMS_positive_f55_p15.cdf
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P0302_fat_LCMS_positive_f56_p03.cdf
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P0302_fat_LCMS_positive_f57_p20.cdf
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P0302_fat_LCMS_positive_f58_p24.cdf
FILES
P0302_fat_LCMS_positive_f59_p02.cdf
FILES
P0302_fat_LCMS_positive_f60_p04.cdf
FILES
P0302_fat_LCMS_positive_f61_p08.cdf
FILES
P0302_fat_LCMS_positive_f62_p12.cdf
FILES
P0302_fat_LCMS_positive_f63_p11.cdf
FILES
P0302_fat_LCMS_positive_f64_p13.cdf
FILES
P0302_fat_LCMS_positive_f65_p16.cdf
FILES
P0302_fat_LCMS_positive_f66_p18.cdf
FILES
P0302_fat_LCMS_positive_f67_p23.cdf
FILES
P0302_fat_LCMS_positive_f68_p06.cdf
FILES
P0302_fat_LCMS_positive_f69_p01.cdf
FILES
P0302_fat_LCMS_positive_f70_p07.cdf
FILES
P0302_fat_LCMS_positive_f71_p10.cdf
FILES
P0302_fat_LCMS_positive_f72_p17.cdf
FILES
P0302_fat_LCMS_positive_f73_p19.cdf
FILES
P0302_fat_LCMS_positive_f74_p25.cdf
FILES
P0302_plasma_GCMS_none_p51_p21.cdf
FILES
P0302_plasma_GCMS_none_p52_p22.cdf
FILES
P0302_plasma_GCMS_none_p53_p05.cdf
FILES
P0302_plasma_GCMS_none_p54_p14.cdf
FILES
P0302_plasma_GCMS_none_p55_p15.cdf
FILES
P0302_plasma_GCMS_none_p56_p03.cdf
FILES
P0302_plasma_GCMS_none_p57_p20.cdf
FILES
P0302_plasma_GCMS_none_p58_p24.cdf
FILES
P0302_plasma_GCMS_none_p59_p02.cdf
FILES
P0302_plasma_GCMS_none_p60_p04.cdf
FILES
P0302_plasma_GCMS_none_p61_p08.cdf
FILES
P0302_plasma_GCMS_none_p62_p12.cdf
FILES
P0302_plasma_GCMS_none_p63_p11.cdf
FILES
P0302_plasma_GCMS_none_p64_p13.cdf
FILES
P0302_plasma_GCMS_none_p65_p16.cdf
FILES
P0302_plasma_GCMS_none_p66_p18.cdf
FILES
P0302_plasma_GCMS_none_p67_p23.cdf
FILES
P0302_plasma_GCMS_none_p68_p06.cdf
FILES
P0302_plasma_GCMS_none_p69_p01.cdf
FILES
P0302_plasma_GCMS_none_p70_p07.cdf
FILES
P0302_plasma_GCMS_none_p71_p10.cdf
FILES
P0302_plasma_GCMS_none_p72_p17.cdf
FILES
P0302_plasma_GCMS_none_p73_p19.cdf
FILES
P0302_plasma_GCMS_none_p74_p25.cdf
FILES
P0302_plasma_LCMS_negative_p51_p21.cdf
FILES
P0302_plasma_LCMS_negative_p52_p22.cdf
FILES
P0302_plasma_LCMS_negative_p53_p05.cdf
FILES
P0302_plasma_LCMS_negative_p54_p14.cdf
FILES
P0302_plasma_LCMS_negative_p55_p15.cdf
FILES
P0302_plasma_LCMS_negative_p56_p03.cdf
FILES
P0302_plasma_LCMS_negative_p57_p20.cdf
FILES
P0302_plasma_LCMS_negative_p58_p24.cdf
FILES
P0302_plasma_LCMS_negative_p59_p02.cdf
FILES
P0302_plasma_LCMS_negative_p60_p04.cdf
FILES
P0302_plasma_LCMS_negative_p61_p08.cdf
FILES
P0302_plasma_LCMS_negative_p62_p12.cdf
FILES
P0302_plasma_LCMS_negative_p63_p11.cdf
FILES
P0302_plasma_LCMS_negative_p64_p13.cdf
FILES
P0302_plasma_LCMS_negative_p65_p16.cdf
FILES
P0302_plasma_LCMS_negative_p66_p18.cdf
FILES
P0302_plasma_LCMS_negative_p67_p23.cdf
FILES
P0302_plasma_LCMS_negative_p68_p06.cdf
FILES
P0302_plasma_LCMS_negative_p69_p01.cdf
FILES
P0302_plasma_LCMS_negative_p70_p07.cdf
FILES
P0302_plasma_LCMS_negative_p71_p10.cdf
FILES
P0302_plasma_LCMS_negative_p72_p17.cdf
FILES
P0302_plasma_LCMS_negative_p73_p19.cdf
FILES
P0302_plasma_LCMS_negative_p74_p25.cdf
FILES
P0302_plasma_LCMS_positive_p51_p21.cdf
FILES
P0302_plasma_LCMS_positive_p52_p22.cdf
FILES
P0302_plasma_LCMS_positive_p53_p05.cdf
FILES
P0302_plasma_LCMS_positive_p54_p14.cdf
FILES
P0302_plasma_LCMS_positive_p55_p15.cdf
FILES
P0302_plasma_LCMS_positive_p56_p03.cdf
FILES
P0302_plasma_LCMS_positive_p57_p20.cdf
FILES
P0302_plasma_LCMS_positive_p58_p24.cdf
FILES
P0302_plasma_LCMS_positive_p59_p02.cdf
FILES
P0302_plasma_LCMS_positive_p60_p04.cdf
FILES
P0302_plasma_LCMS_positive_p61_p08.cdf
FILES
P0302_plasma_LCMS_positive_p62_p12.cdf
FILES
P0302_plasma_LCMS_positive_p63_p11.cdf
FILES
P0302_plasma_LCMS_positive_p64_p13.cdf
FILES
P0302_plasma_LCMS_positive_p65_p16.cdf
FILES
P0302_plasma_LCMS_positive_p66_p18.cdf
FILES
P0302_plasma_LCMS_positive_p67_p23.cdf
FILES
P0302_plasma_LCMS_positive_p68_p06.cdf
FILES
P0302_plasma_LCMS_positive_p69_p01.cdf
FILES
P0302_plasma_LCMS_positive_p70_p07.cdf
FILES
P0302_plasma_LCMS_positive_p71_p10.cdf
FILES
P0302_plasma_LCMS_positive_p72_p17.cdf
FILES
P0302_plasma_LCMS_positive_p73_p19.cdf
FILES
P0302_plasma_LCMS_positive_p74_p25.cdf
FILES
P0440_fat_GCMS_none_f101_p26.cdf
FILES
P0440_fat_GCMS_none_f102_p27.cdf
FILES
P0440_fat_GCMS_none_f103_p28.cdf
FILES
P0440_fat_GCMS_none_f104_p29.cdf
FILES
P0440_fat_GCMS_none_f105_p30.cdf
FILES
P0440_fat_GCMS_none_f106_p31.cdf
FILES
P0440_fat_GCMS_none_f107_p32.cdf
FILES
P0440_fat_GCMS_none_f108_p33.cdf
FILES
P0440_fat_GCMS_none_f109_p34.cdf
FILES
P0440_fat_GCMS_none_f110_p35.cdf
FILES
P0440_fat_GCMS_none_f111_p36.cdf
FILES
P0440_fat_GCMS_none_f112_p37.cdf
FILES
P0440_fat_GCMS_none_f113_p38.cdf
FILES
P0440_fat_GCMS_none_f114_p39.cdf
FILES
P0440_fat_GCMS_none_f115_p40.cdf
FILES
P0440_fat_GCMS_none_f116_p41.cdf
FILES
P0440_fat_GCMS_none_f117_p42.cdf
FILES
P0440_fat_GCMS_none_f118_p09.cdf
FILES
P0440_fat_LCMS_negative_f101_p26.cdf
FILES
P0440_fat_LCMS_negative_f102_p27.cdf
FILES
P0440_fat_LCMS_negative_f103_p28.cdf
FILES
P0440_fat_LCMS_negative_f104_p29.cdf
FILES
P0440_fat_LCMS_negative_f105_p30.cdf
FILES
P0440_fat_LCMS_negative_f106_p31.cdf
FILES
P0440_fat_LCMS_negative_f107_p32.cdf
FILES
P0440_fat_LCMS_negative_f108_p33.cdf
FILES
P0440_fat_LCMS_negative_f109_p34.cdf
FILES
P0440_fat_LCMS_negative_f110_p35.cdf
FILES
P0440_fat_LCMS_negative_f111_p36.cdf
FILES
P0440_fat_LCMS_negative_f112_p37.cdf
FILES
P0440_fat_LCMS_negative_f113_p38.cdf
FILES
P0440_fat_LCMS_negative_f114_p39.cdf
FILES
P0440_fat_LCMS_negative_f115_p40.cdf
FILES
P0440_fat_LCMS_negative_f116_p41.cdf
FILES
P0440_fat_LCMS_negative_f117_p42.cdf
FILES
P0440_fat_LCMS_negative_f118_p09.cdf
FILES
P0440_fat_LCMS_positive_f101_p26.cdf
FILES
P0440_fat_LCMS_positive_f102_p27.cdf
FILES
P0440_fat_LCMS_positive_f103_p28.cdf
FILES
P0440_fat_LCMS_positive_f104_p29.cdf
FILES
P0440_fat_LCMS_positive_f105_p30.cdf
FILES
P0440_fat_LCMS_positive_f106_p31.cdf
FILES
P0440_fat_LCMS_positive_f107_p32.cdf
FILES
P0440_fat_LCMS_positive_f108_p33.cdf
FILES
P0440_fat_LCMS_positive_f109_p34.cdf
FILES
P0440_fat_LCMS_positive_f110_p35.cdf
FILES
P0440_fat_LCMS_positive_f111_p36.cdf
FILES
P0440_fat_LCMS_positive_f112_p37.cdf
FILES
P0440_fat_LCMS_positive_f113_p38.cdf
FILES
P0440_fat_LCMS_positive_f114_p39.cdf
FILES
P0440_fat_LCMS_positive_f115_p40.cdf
FILES
P0440_fat_LCMS_positive_f116_p41.cdf
FILES
P0440_fat_LCMS_positive_f117_p42.cdf
FILES
P0440_fat_LCMS_positive_f118_p09.cdf
FILES
P0440_plasma_GCMS_none_p101_p26.cdf
FILES
P0440_plasma_GCMS_none_p102_p27.cdf
FILES
P0440_plasma_GCMS_none_p103_p28.cdf
FILES
P0440_plasma_GCMS_none_p104_p29.cdf
FILES
P0440_plasma_GCMS_none_p105_p30.cdf
FILES
P0440_plasma_GCMS_none_p106_p31.cdf
FILES
P0440_plasma_GCMS_none_p107_p32.cdf
FILES
P0440_plasma_GCMS_none_p108_p33.cdf
FILES
P0440_plasma_GCMS_none_p109_p34.cdf
FILES
P0440_plasma_GCMS_none_p110_p35.cdf
FILES
P0440_plasma_GCMS_none_p111_p36.cdf
FILES
P0440_plasma_GCMS_none_p112_p37.cdf
FILES
P0440_plasma_GCMS_none_p113_p38.cdf
FILES
P0440_plasma_GCMS_none_p114_p39.cdf
FILES
P0440_plasma_GCMS_none_p115_p40.cdf
FILES
P0440_plasma_GCMS_none_p116_p41.cdf
FILES
P0440_plasma_GCMS_none_p117_p42.cdf
FILES
P0440_plasma_GCMS_none_p118_p09.cdf
FILES
P0440_plasma_LCMS_negative_p101_p26.cdf
FILES
P0440_plasma_LCMS_negative_p102_p27.cdf
FILES
P0440_plasma_LCMS_negative_p103_p28.cdf
FILES
P0440_plasma_LCMS_negative_p104_p29.cdf
FILES
P0440_plasma_LCMS_negative_p105_p30.cdf
FILES
P0440_plasma_LCMS_negative_p106_p31.cdf
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  5%|▌         | 88/1662 [08:43<1:56:09,  4.43s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  5%|▌         | 89/1662 [08:47<1:52:39,  4.30s/it]
P0440_plasma_LCMS_negative_p107_p32.cdf
FILES
P0440_plasma_LCMS_negative_p108_p33.cdf
FILES
P0440_plasma_LCMS_negative_p109_p34.cdf
FILES
P0440_plasma_LCMS_negative_p110_p35.cdf
FILES
P0440_plasma_LCMS_negative_p111_p36.cdf
FILES
P0440_plasma_LCMS_negative_p112_p37.cdf
FILES
P0440_plasma_LCMS_negative_p113_p38.cdf
FILES
P0440_plasma_LCMS_negative_p114_p39.cdf
FILES
P0440_plasma_LCMS_negative_p115_p40.cdf
FILES
P0440_plasma_LCMS_negative_p116_p41.cdf
FILES
P0440_plasma_LCMS_negative_p117_p42.cdf
FILES
P0440_plasma_LCMS_negative_p118_p09.cdf
FILES
P0440_plasma_LCMS_positive_p101_p26.cdf
FILES
P0440_plasma_LCMS_positive_p102_p27.cdf
FILES
P0440_plasma_LCMS_positive_p103_p28.cdf
FILES
P0440_plasma_LCMS_positive_p104_p29.cdf
FILES
P0440_plasma_LCMS_positive_p105_p30.cdf
FILES
P0440_plasma_LCMS_positive_p106_p31.cdf
FILES
P0440_plasma_LCMS_positive_p107_p32.cdf
FILES
P0440_plasma_LCMS_positive_p108_p33.cdf
FILES
P0440_plasma_LCMS_positive_p109_p34.cdf
FILES
P0440_plasma_LCMS_positive_p110_p35.cdf
FILES
P0440_plasma_LCMS_positive_p111_p36.cdf
FILES
P0440_plasma_LCMS_positive_p112_p37.cdf
FILES
P0440_plasma_LCMS_positive_p113_p38.cdf
FILES
P0440_plasma_LCMS_positive_p114_p39.cdf
FILES
P0440_plasma_LCMS_positive_p115_p40.cdf
FILES
P0440_plasma_LCMS_positive_p116_p41.cdf
FILES
P0440_plasma_LCMS_positive_p117_p42.cdf
FILES
P0440_plasma_LCMS_positive_p118_p09.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 252 rows!
Added 252 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS107
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Zeax_A_221a.raw
FILES
Zeax_A_222f.raw
FILES
Zeax_A_223a.raw
FILES
Zeax_A_223c.raw
FILES
Zeax_A_223d.raw
FILES
Zeax_A_223e.raw
FILES
Zeax_A_223i.raw
FILES
Zeax_A_224a.raw
FILES
Zeax_A_224d.raw
FILES
Zeax_A_224f.raw
FILES
Zeax_A_290g.raw
FILES
Zeax_A_291e.raw
FILES
Zeax_B_220d.raw
FILES
Zeax_B_220e.raw
FILES
Zeax_B_221e.raw
FILES
Zeax_B_222g.raw
FILES
Zeax_B_222i.raw
FILES
Zeax_B_223h.raw
FILES
Zeax_B_224g.raw
FILES
Zeax_B_224h.raw
FILES
Zeax_B_224i.raw
FILES
Zeax_B_290a.raw
FILES
Zeax_B_290e.raw
FILES
Zeax_B_291g.raw
FILES
Zeax_C_220h.raw
FILES
Zeax_C_221f.raw
FILES
Zeax_C_221i.raw
FILES
Zeax_C_221j.raw
FILES
Zeax_C_223j.raw
FILES
Zeax_C_223l.raw
FILES
Zeax_C_223m.raw
FILES
Zeax_C_223n.raw
FILES
Zeax_C_224j.raw
FILES
Zeax_C_224k.raw
FILES
Zeax_C_224l.raw
FILES
Zeax_C_290h.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Phytohormones
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Carotenoids
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1071
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
CB_HF_Neg_1.mzML
FILES
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CB_HF_Neg_2.mzML
FILES
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CB_HF_Neg_3.mzML
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CB_HF_Pos_1.mzML
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CB_LF_Neg_1.mzML
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IGNORED:  Assay_Chromatography Instrument/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  5%|▌         | 90/1662 [08:51<1:48:50,  4.15s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  5%|▌         | 91/1662 [08:56<1:53:28,  4.33s/it]
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Is Descendant
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Samples_Fertility
IGNORED:  Samples_Source Name
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IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10741
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10021
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
HFX9_1675552_CN_QC1.raw
FILES
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HFX9_CN1_FZTM230020439-1A.raw
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HFX9_CN2_FZTM230020444-1A.raw
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HFX9_CP1_FZTM230020439-1A.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 92/1662 [09:01<1:58:09,  4.52s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 93/1662 [09:07<2:08:54,  4.93s/it]
FILES
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HFX9_CP1_FZTM230020441-1A.raw
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HFX9_CP2_FZTM230020443-1A.raw
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HFX9_CP3_FZTM230020446-1A.raw
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HFX9_CP3_FZTM230020447-1A.raw
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HFX9_CP4_FZTM230020448-1A.raw
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HFX9_CP4_FZTM230020449-1A.raw
FILES
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POS
HFX9_CP4_FZTM230020450-1A.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS108
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
Lut_A_220d.raw
FILES
Lut_A_221a.raw
FILES
Lut_A_221e.raw
FILES
Lut_A_222f.raw
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Lut_A_223a.raw
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Lut_A_224d.raw
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Lut_B_222i.raw
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Lut_B_223d.raw
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Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1079
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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E_t0_c_1.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 94/1662 [09:14<2:29:14,  5.71s/it]
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 152 rows!
Added 152 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1080
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  6%|▌         | 95/1662 [09:21<2:40:13,  6.13s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 96/1662 [09:45<4:58:13, 11.43s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 97/1662 [09:49<3:59:46,  9.19s/it]
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS109
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
A-car_A_220g.raw
FILES
A-car_A_220h.raw
FILES
A-car_A_221f.raw
FILES
A-car_A_223j.raw
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A-car_A_223n.raw
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A-car_A_224b.raw
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A-car_A_224h.raw
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A-car_A_224j.raw
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A-car_A_290a.raw
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A-car_A_290e.raw
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FILES
A-car_B_220e.raw
FILES
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A-car_B_221i.raw
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A-car_B_221j.raw
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FILES
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FILES
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FILES
A-car_C_220a.raw
FILES
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FILES
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FILES
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A-car_C_223c.raw
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Phytohormones
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1104
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific ISQ: missing value
  Thermo Scientific Q Exactive: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1106
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 168 rows!
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11115/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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  6%|▌         | 100/1662 [10:03<2:26:57,  5.65s/it]
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 0
Returning 70 rows!
Added 70 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1108
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1122
Request successful!
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menRCCstage2_885.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 101/1662 [10:10<2:41:16,  6.20s/it]
FILES
menRCCstage2_981.mzML
FILES
menRCCstage2_991.mzML
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menRCCstage3_1369.mzML
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menRCCstage3_1749.mzML
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womenLCCstage3_189.mzML
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womenLCCstage3_1890.mzML
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womenLCCstage3_2105.mzML
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womenLCCstage3_2291.mzML
FILES
womenLCCstage3_23.mzML
FILES
womenLCCstage3_2594.mzML
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womenLCCstage3_522.mzML
FILES
womenLCCstage3_734.mzML
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womenLCCstage3_888.mzML
FILES
womenLCCstage3_903.mzML
FILES
womenLCCstage3_938.mzML
FILES
womenRCCstage1_1617.mzML
FILES
womenRCCstage1_1963.mzML
FILES
womenRCCstage1_2038.mzML
FILES
womenRCCstage1_2202.mzML
FILES
womenRCCstage1_2235.mzML
FILES
womenRCCstage1_2258.mzML
FILES
womenRCCstage1_2600.mzML
FILES
womenRCCstage1_2668.mzML
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FILES
womenRCCstage1_941.mzML
FILES
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FILES
womenRCCstage2_1196.mzML
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womenRCCstage2_1304.mzML
FILES
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FILES
womenRCCstage3_1237.mzML
FILES
womenRCCstage3_1316.mzML
FILES
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FILES
womenRCCstage3_1363.mzML
FILES
womenRCCstage3_1455.mzML
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FILES
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FILES
womenRCCstage3_1924.mzML
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womenRCCstage3_2494.mzML
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
women_normal_2478.mzML
FILES
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FILES
women_normal_2550.mzML
FILES
women_normal_264.mzML
FILES
women_normal_2655.mzML
FILES
women_normal_2670.mzML
FILES
women_normal_2705.mzML
FILES
women_normal_4.mzML
FILES
women_normal_834.mzML
FILES
women_normal_9.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Guard column
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 264 rows!
Added 264 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11229
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
py-S1-test02.D
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Protocol REF.4
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▌         | 102/1662 [10:15<2:27:07,  5.66s/it]
  6%|▌         | 103/1662 [10:16<1:49:21,  4.21s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▋         | 104/1662 [10:20<1:47:57,  4.16s/it]IGNORED:  Assay_Scan polarity
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11341
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11360
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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Col-0-1_N.mzML
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Col-0-2_N.mzML
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gl2-1_N.mzML
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gl2-3_N.mzML
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pooled sample-QC1_N.mzML
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pooled sample-QC2_N.mzML
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pooled sample-QC3_N.mzML
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rsl2rsl4-1_N.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1138
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
1Oacylcer 15769-1-011018-4_1.raw
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1Oacylcer 16018-5-030215-3_1.raw
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1Oacylcer 16721-3-011018-6_1.raw
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1Oacylcer 16721-4-011018-5_1.raw
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1Oacylcer 16721-7-011018-1_2.raw
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Cer 15177-5-091114-7_1.raw
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Cer 15830-6-0929152-f2_1.raw
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GlcCer 16657-3-030215-4_1_Recal.raw
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GlcCer 16657-4-030215-5_1_Recal.raw
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GlcCer 16657-7-030215-9_1_Recal.raw
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boundCer 15177-5-101314-4_1.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▋         | 105/1662 [10:25<1:54:12,  4.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▋         | 106/1662 [10:29<1:57:52,  4.55s/it]
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Number of rows removed due to not enough metadata: 0
Returning 91 rows!
Added 91 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1168
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Guard column
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IGNORED:  Samples_Term Accession Number.1
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Number of rows removed due to not enough metadata: 0
Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS117
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Classic: missing value
ChromatographyAndPhase:
  : missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▋         | 107/1662 [10:35<2:03:26,  4.76s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  6%|▋         | 108/1662 [10:40<2:07:40,  4.93s/it]
  7%|▋         | 109/1662 [10:41<1:35:36,  3.69s/it]
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
C24 I ESI+.cdf
FILES
C24 I ESI-.cdf
FILES
C24 II ESI+.cdf
FILES
C24 II ESI-.cdf
FILES
C24 III ESI+.cdf
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C24 III ESI-.cdf
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C48 I ESI-.cdf
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FILES
C48 II ESI-.cdf
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FILES
C48 III ESI-.cdf
FILES
R24 I ESI+.cdf
FILES
R24 I ESI-.cdf
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R24 II ESI+.cdf
FILES
R24 II ESI-.cdf
FILES
R24 III ESI+.cdf
FILES
R24 III ESI-.cdf
FILES
R48 I ESI+.cdf
FILES
R48 I ESI-.cdf
FILES
R48 II ESI+.cdf
FILES
R48 II ESI-.cdf
FILES
R48 III ESI+.cdf
FILES
R48 III ESI-.cdf
FILES
R48 MS-MS ESI+.raw
FILES
R48 MS-MS ESI-.raw
IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 14
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS118
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
C24 I EI+.cdf
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 10
Returning 10 rows!
Added 10 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1182
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1186
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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FILES
F7pm_S_3.mzXML
FILES
M11am_Apo_1.mzXML
FILES
M11am_Apo_2.mzXML
FILES
M11am_S_1.mzXML
FILES
M11am_S_2.mzXML
FILES
M4am_Apo_1.mzXML
FILES
M4am_Apo_2.mzXML
FILES
M4am_Apo_3.mzXML
FILES
M4am_S_1.mzXML
FILES
M4am_S_2.mzXML
FILES
M4am_S_3.mzXML
FILES
M7pm_Apo_1.mzXML
FILES
M7pm_Apo_2.mzXML
FILES
M7pm_Apo_3.mzXML
FILES
M7pm_S_1.mzXML
FILES
M7pm_S_2.mzXML
FILES
M7pm_S_3.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  7%|▋         | 110/1662 [10:45<1:38:34,  3.81s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  7%|▋         | 111/1662 [10:53<2:08:59,  4.99s/it]IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Symbiotic status
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Time of day
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1187
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 7200 Q-TOF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
170915_07.cdf
FILES
170915_09.cdf
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170915_11.cdf
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170915_13.cdf
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170915_15.cdf
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FILES
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FILES
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170918_67.cdf
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170918_69.cdf
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170918_71.cdf
FILES
170918_73.cdf
FILES
170918_75.cdf
FILES
170918_77.cdf
FILES
170918_79.cdf
FILES
170918_81.cdf
FILES
170918_83.cdf
FILES
170918_85.cdf
FILES
170921_03.cdf
FILES
170921_04.cdf
FILES
170921_05.cdf
FILES
170921_06.cdf
FILES
170921_07.cdf
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
170921_14.cdf
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170921_16.cdf
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170921_21.cdf
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FILES
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170921_34.cdf
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170921_37.cdf
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170921_39.cdf
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170921_41.cdf
FILES
170921_42.cdf
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170921_43.cdf
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170921_47.cdf
FILES
170921_48.cdf
FILES
170921_49.cdf
FILES
170925_03.cdf
FILES
170925_04.cdf
FILES
170925_05.cdf
FILES
170925_06.cdf
FILES
170925_07.cdf
FILES
170925_08.cdf
FILES
170925_09.cdf
FILES
170925_10.cdf
FILES
170925_11.cdf
FILES
170925_12.cdf
FILES
170925_13.cdf
FILES
170925_16.cdf
FILES
170925_17.cdf
FILES
170925_18.cdf
FILES
170925_19.cdf
FILES
170925_20.cdf
FILES
170925_21.cdf
FILES
170925_22.cdf
FILES
170925_23.cdf
FILES
170925_24.cdf
FILES
170925_25.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Samples_Location
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Weight
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 23
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1191
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  7%|▋         | 112/1662 [10:57<2:03:42,  4.79s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  7%|▋         | 113/1662 [11:02<2:05:22,  4.86s/it]
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
IonizationSourceAndPolarity:
   (negative): missing value
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QC01_neg.wiff
FILES
QC01_pos.wiff
FILES
QC02_neg.wiff
FILES
QC02_pos.wiff
FILES
QC03_neg.wiff
FILES
QC03_pos.wiff
FILES
QC04_neg.wiff
FILES
QC04_pos.wiff
FILES
WT1_neg.wiff
FILES
WT1_pos.wiff
FILES
WT2_neg.wiff
FILES
WT2_pos.wiff
FILES
WT3_neg.wiff
FILES
WT3_pos.wiff
FILES
WT4_neg.wiff
FILES
WT4_pos.wiff
FILES
WT5_neg.wiff
FILES
WT5_pos.wiff
FILES
WT6_neg.wiff
FILES
WT6_pos.wiff
FILES
tmRNA1_neg.wiff
FILES
tmRNA1_pos.wiff
FILES
tmRNA2_neg.wiff
FILES
tmRNA2_pos.wiff
FILES
tmRNA3_neg.wiff
FILES
tmRNA3_pos.wiff
FILES
tmRNA4_neg.wiff
FILES
tmRNA4_pos.wiff
FILES
tmRNA5_neg.wiff
FILES
tmRNA5_pos.wiff
FILES
tmRNA6_neg.wiff
FILES
tmRNA6_pos.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Gene Knockout
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Sample Type
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1196
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
SH-1.cdf
FILES
SH-2.cdf
FILES
SH-3.cdf
FILES
SH-4.cdf
FILES
control-1.cdf
FILES
control-2.cdf
FILES
control-3.cdf
FILES
control-4.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_PAH stress
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS120
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2-S HDMS: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
130615_Neg_115_1A.CDF
FILES
130615_Neg_115_1B.CDF
FILES
130615_Neg_115_1C.CDF
FILES
130615_Neg_115_2A.CDF
FILES
130615_Neg_115_2B.CDF
FILES
130615_Neg_115_2C.CDF
FILES
130615_Neg_115_3A.CDF
FILES
130615_Neg_115_3B.CDF
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130615_Pos_115_3A.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Mutation
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Chemotype
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1209
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1210
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 7010 Triple Quadrupole: missing value
  Thermo Scientific TSQ Vantage: missing value
  Thermo Scientific Q Exactive HF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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DE_1_MSA_LC.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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FILES
DG2_57_AA_A_MSA_GC.mzML
FILES
DG2_57_AA_A_MSA_LC.mzML
FILES
DG3-1-1-DI.mzML
FILES
DG3-1-1.mzML
FILES
DG3-1-2.mzML
FILES
DG3_57_AA_A_HCl_GC.mzML
FILES
DG3_57_AA_A_HCl_LC.mzML
FILES
DG3_57_AA_A_MSA_GC.mzML
FILES
DG3_57_AA_A_MSA_LC.mzML
FILES
DXA-1.mzML
FILES
DXA-2.mzML
FILES
DXA.mzML
FILES
DXA_A_HCl_GC.mzML
FILES
DXA_A_HCl_LC.mzML
FILES
DXA_A_MSA_GC.mzML
FILES
DXA_A_MSA_LC.mzML
FILES
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FILES
DXB-2.mzML
FILES
DXB.mzML
FILES
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FILES
DXB_A_HCl_LC.mzML
FILES
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FILES
DXB_A_MSA_LC.mzML
FILES
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FILES
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FILES
DXC.mzML
FILES
DXC_A_HCl_GC.mzML
FILES
DXC_A_HCl_LC.mzML
FILES
DXC_A_MSA_GC.mzML
FILES
DXC_A_MSA_LC.mzML
FILES
E81-1.mzML
FILES
E81-2.mzML
FILES
E81.mzML
FILES
E82-2-1-DI.mzML
FILES
E82-2-1.mzML
FILES
E82-2-2.mzML
FILES
E83-1-1-DI.mzML
FILES
E83-1-1.mzML
FILES
E83-1-2.mzML
FILES
EO1-1-1-DI.mzML
FILES
EO1-1-1.mzML
FILES
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FILES
EO2-2-1-DI.mzML
FILES
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FILES
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FILES
EO3-2-1.mzML
FILES
EO3-2-2.mzML
FILES
EO3-2-3.mzML
FILES
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FILES
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FILES
Epo0_1_MSA_GC.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
Epo0_3_MSA_GC.mzML
FILES
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FILES
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FILES
Epo8_1_HCl_LC.mzML
FILES
Epo8_1_MSA_GC.mzML
FILES
Epo8_1_MSA_LC.mzML
FILES
Epo8_2_HCl_GC.mzML
FILES
Epo8_2_HCl_LC.mzML
FILES
Epo8_2_MSA_GC.mzML
FILES
Epo8_2_MSA_LC.mzML
FILES
Epo8_3_HCl_GC.mzML
FILES
Epo8_3_HCl_LC.mzML
FILES
Epo8_3_MSA_GC.mzML
FILES
Epo8_3_MSA_LC.mzML
FILES
GS1-1-1-DI.mzML
FILES
GS1-1-1.mzML
FILES
GS1-1-2.mzML
FILES
GS2-1-1-DI.mzML
FILES
GS2-1-1.mzML
FILES
GS2-1-2.mzML
FILES
GS3-2-1-DI.mzML
FILES
GS3-2-1.mzML
FILES
GS3-2-2.mzML
FILES
GSneg_1_HCl_GC.mzML
FILES
GSneg_1_HCl_LC.mzML
FILES
GSneg_1_MSA_GC.mzML
FILES
GSneg_1_MSA_LC.mzML
FILES
GSneg_2_HCl_GC.mzML
FILES
GSneg_2_HCl_LC.mzML
FILES
GSneg_2_MSA_GC.mzML
FILES
GSneg_2_MSA_LC.mzML
FILES
GSneg_3_HCl_GC.mzML
FILES
GSneg_3_HCl_LC.mzML
FILES
GSneg_3_MSA_GC.mzML
FILES
GSneg_3_MSA_LC.mzML
FILES
HY1-2-1.mzML
FILES
HY1-2-2.mzML
FILES
HY1-2-3.mzML
FILES
HY2-2-3.mzML
FILES
HY2-2-4.mzML
FILES
HY3-1-1-DI.mzML
FILES
HY3-1-1.mzML
FILES
HY3-1-2.mzML
FILES
HY_1_HCl_GC.mzML
FILES
HY_1_HCl_LC.mzML
FILES
HY_1_MSA_GC.mzML
FILES
HY_1_MSA_LC.mzML
FILES
HY_2_HCl_GC.mzML
FILES
HY_2_HCl_LC.mzML
FILES
HY_2_MSA_GC.mzML
FILES
HY_2_MSA_LC.mzML
FILES
HY_3_HCl_GC.mzML
FILES
HY_3_HCl_LC.mzML
FILES
HY_3_MSA_GC.mzML
FILES
HY_3_MSA_LC.mzML
FILES
Her1-2-1.mzML
FILES
Her1-2-2.mzML
FILES
Her2-1-pos.mzML
FILES
Her2-2.mzML
FILES
Her2.mzML
FILES
Her3-1-1-DI.mzML
FILES
Her3-1-1.mzML
FILES
Her3-1-2.mzML
FILES
Her_1_HCl_GC.mzML
FILES
Her_1_HCl_LC.mzML
FILES
Her_1_MSA_GC.mzML
FILES
Her_1_MSA_LC.mzML
FILES
Her_2_HCl_GC.mzML
FILES
Her_2_HCl_LC.mzML
FILES
Her_2_MSA_GC.mzML
FILES
Her_2_MSA_LC.mzML
FILES
Her_3_HCl_GC.mzML
FILES
Her_3_HCl_LC.mzML
FILES
Her_3_MSA_GC.mzML
FILES
Her_3_MSA_LC.mzML
FILES
Hr2-2-1.mzML
FILES
KA-2.mzML
FILES
KA-3-pos.mzML
FILES
KA-4-neg.mzML
FILES
KA.mzML
FILES
KA_1_HCl_GC.mzML
FILES
KA_1_HCl_LC.mzML
FILES
KA_1_MSA_GC.mzML
FILES
KA_1_MSA_LC.mzML
FILES
KB-1.mzML
FILES
KB-2.mzML
FILES
KB.mzML
FILES
KB_1_HCl_GC.mzML
FILES
KB_1_HCl_LC.mzML
FILES
KB_1_MSA_GC.mzML
FILES
KB_1_MSA_LC.mzML
FILES
KC-3-pos.mzML
FILES
KC-4.mzML
FILES
KC-5-pos.mzML
FILES
KC.mzML
FILES
KC_1_HCl_GC.mzML
FILES
KC_1_HCl_LC.mzML
FILES
KC_1_MSA_GC.mzML
FILES
KC_1_MSA_LC.mzML
FILES
OA-1.mzML
FILES
OA-5.mzML
FILES
OA.mzML
FILES
OB-1.mzML
FILES
OB-2.mzML
FILES
OB.mzML
FILES
OC-1.mzML
FILES
OC-2.mzML
FILES
OC.mzML
FILES
SA-1.mzML
FILES
SA-2.mzML
FILES
SA.mzML
FILES
SA_1_HCl_GC.mzML
FILES
SA_1_HCl_LC.mzML
FILES
SA_1_MSA_GC.mzML
FILES
SA_1_MSA_LC.mzML
FILES
SB-1.mzML
FILES
SB-2-neg.mzML
FILES
SB.mzML
FILES
SB_1_HCl_GC.mzML
FILES
SB_1_HCl_LC.mzML
FILES
SB_1_MSA_GC.mzML
FILES
SB_1_MSA_LC.mzML
FILES
SC-1.mzML
FILES
SC-2.mzML
FILES
SC.mzML
FILES
SC_1_HCl_GC.mzML
FILES
SC_1_HCl_LC.mzML
FILES
SC_1_MSA_GC.mzML
FILES
SC_1_MSA_LC.mzML
FILES
SolventBlank_1.mzML
FILES
SolventBlank_2.mzML
FILES
SolventBlank_3.mzML
FILES
SolventBlank_4.mzML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Samples_growth supplement
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
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IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Batch Number (Hydrolysis)
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Samples_Unit (Cell Dry Weight)
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Cell Dry Weight (Hydrolysis)
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Original model ID
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Cell line source
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_BioModels_ID
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Humidity
IGNORED:  Assay_Sample Name
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 16
Returning 275 rows!
Added 275 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1221
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6490 Triple Quadrupole: missing value
UBERONBodyPartName:
  : missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  7%|▋         | 117/1662 [11:26<2:32:57,  5.94s/it]
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Blank1.d
FILES
Blank1_pos.d
FILES
Blank2_pos.d
FILES
Blank_pos.d
FILES
MEM_01.d
FILES
MEM_01_pos.d
FILES
MEM_02.d
FILES
MEM_02_pos.d
FILES
MEM_03.d
FILES
MEM_03_pos.d
FILES
MEM_04.d
FILES
MEM_04_pos.d
FILES
QC01_pos.d
FILES
QC02_pos.d
FILES
QC03_pos.d
FILES
QC11.d
FILES
QC12.d
FILES
QC1_pos.d
FILES
QC2_pos.d
FILES
QC3_pos.d
FILES
WRN_NR_01.d
FILES
WRN_NR_01_pos.d
FILES
WRN_NR_02.d
FILES
WRN_NR_02_pos.d
FILES
WRN_NR_03.d
FILES
WRN_NR_03_pos.d
FILES
WRN_Veh_01.d
FILES
WRN_Veh_01_pos.d
FILES
WRN_Veh_02.d
FILES
WRN_Veh_02_pos.d
FILES
WRN_Veh_03.d
FILES
WRN_Veh_03_pos.d
FILES
WT_NR_01.d
FILES
WT_NR_01_pos.d
FILES
WT_NR_02.d
FILES
WT_NR_02_pos.d
FILES
WT_NR_03.d
FILES
WT_NR_03_pos.d
FILES
WT_Veh_01.d
FILES
WT_Veh_01_pos.d
FILES
WT_Veh_02.d
FILES
WT_Veh_02_pos.d
FILES
WT_Veh_03.d
FILES
WT_Veh_03_pos.d
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Sample source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1228
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977B MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
ACTHT1_rep1.CDF
FILES
ACTHT1_rep2.CDF
FILES
ACTHT1_rep3.CDF
FILES
ACTHT1_rep4.CDF
FILES
ACTHT1_rep5.CDF
FILES
ACTHT2_rep1.CDF
FILES
ACTHT2_rep2.CDF
FILES
ACTHT2_rep3.CDF
FILES
ACTHT2_rep4_repeat.CDF
FILES
ACTHT2_rep5.CDF
FILES
ACTHT2_rep6.CDF
FILES
ACTNT1_rep1.CDF
FILES
ACTNT1_rep2.CDF
FILES
ACTNT1_rep3.CDF
FILES
ACTNT1_rep4.CDF
FILES
ACTNT1_rep5.CDF
FILES
ACTNT2_rep1.CDF
FILES
ACTNT2_rep2.CDF
FILES
ACTNT2_rep3.CDF
FILES
ACTNT2_rep4.CDF
FILES
ACTNT2_rep5.CDF
FILES
ACTNT2_rep6.CDF
FILES
Ammonia_H1alkanes.CDF
FILES
Ammonia_H2alkanes.CDF
FILES
Ammonia_H3alkanes.CDF
FILES
Ammonia_H4alkanes.CDF
FILES
Ammonia_H5alkanes.CDF
FILES
Ammonia_H6alkanes.CDF
FILES
Ammonia_N1alkanes.CDF
FILES
Ammonia_N2alkanes.CDF
FILES
Ammonia_N3alkanes.CDF
FILES
Ammonia_N4alkanes.CDF
FILES
Ammonia_N5alkanes.CDF
FILES
Ammonia_N6alkanes.CDF
FILES
H1.CDF
FILES
H1_13Cglutamine100min_intra.CDF
FILES
H1_13Cglutamine1h_intra.CDF
FILES
H1_13Cglutamine20min_intra.CDF
FILES
H1_13Cglutamine40min_intra.CDF
FILES
H1_ammonia_media.CDF
FILES
H2.CDF
FILES
H2_13Cglutamine100min_intra.CDF
FILES
H2_13Cglutamine1h_intra.CDF
FILES
H2_13Cglutamine20min_intra.CDF
FILES
H2_13Cglutamine40min_intra.CDF
FILES
H2_ammonia_media.CDF
FILES
H3.CDF
FILES
H3_13Cglutamine100min_intra.CDF
FILES
H3_13Cglutamine1h_intra.CDF
FILES
H3_13Cglutamine20min_intra.CDF
FILES
H3_13Cglutamine40min_intra.CDF
FILES
H3_ammonia_media.CDF
FILES
H4.CDF
FILES
H4_ammonia_media.CDF
FILES
H5.CDF
FILES
H5_ammonia_media.CDF
FILES
H6.CDF
FILES
H6_ammonia_media.CDF
FILES
MH1.CDF
FILES
MH2.CDF
FILES
MH3.CDF
FILES
MH4.CDF
FILES
MH5.CDF
FILES
MH6.CDF
FILES
MIOM1GlnH1_SIM.CDF
FILES
MIOM1GlnH2_SIM.CDF
FILES
MIOM1GlnH3_SIM.CDF
FILES
MIOM1GlnH4_SIM.CDF
FILES
MIOM1GlnH5_SIM.CDF
FILES
MIOM1GlnH6_SIM.CDF
FILES
MIOM1GlnN1_SIM.CDF
FILES
MIOM1GlnN2_SIM.CDF
FILES
MIOM1GlnN3_SIM.CDF
FILES
MIOM1GlnN4_SIM.CDF
FILES
MIOM1GlnN5_SIM.CDF
FILES
MIOM1GlnN6_SIM.CDF
FILES
MIOM1Glu24cont_hyper1.CDF
FILES
MIOM1Glu24cont_hyper2.CDF
FILES
MIOM1Glu24cont_hyper3.CDF
FILES
MIOM1Glu24cont_hyper4.CDF
FILES
MIOM1Glu24cont_hyper5.CDF
FILES
MIOM1Glu24cont_hyper6.CDF
FILES
MIOM1Glu24cont_norm1.CDF
FILES
MIOM1Glu24cont_norm2.CDF
FILES
MIOM1Glu24cont_norm3.CDF
FILES
MIOM1Glu24cont_norm4.CDF
FILES
MIOM1Glu24cont_norm5.CDF
FILES
MIOM1Glu24cont_norm6.CDF
FILES
MIOM1Glu8cont_hyper1.CDF
FILES
MIOM1Glu8cont_hyper2.CDF
FILES
MIOM1Glu8cont_hyper3.CDF
FILES
MIOM1Glu8cont_hyper4.CDF
FILES
MIOM1Glu8cont_hyper5.CDF
FILES
MIOM1Glu8cont_hyper6.CDF
FILES
MIOM1Glu8cont_norm1.CDF
FILES
MIOM1Glu8cont_norm2.CDF
FILES
MIOM1Glu8cont_norm3.CDF
FILES
MIOM1Glu8cont_norm4.CDF
FILES
MIOM1Glu8cont_norm5.CDF
FILES
MIOM1Glu8cont_norm6.CDF
FILES
MN1.CDF
FILES
MN2.CDF
FILES
MN3.CDF
FILES
MN4.CDF
FILES
MN5.CDF
FILES
MN6.CDF
FILES
N1.CDF
FILES
N1_13Cglutamine100min_intra.CDF
FILES
N1_13Cglutamine1h_intra.CDF
FILES
N1_13Cglutamine20min_intra.CDF
FILES
N1_13Cglutamine40min_intra.CDF
FILES
N1_ammonia_media.CDF
FILES
N2.CDF
FILES
N2_13Cglutamine100min_intra.CDF
FILES
N2_13Cglutamine1h_intra.CDF
FILES
N2_13Cglutamine20min_intra.CDF
FILES
N2_13Cglutamine40min_intra.CDF
FILES
N2_ammonia_media.CDF
FILES
N3.CDF
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N3_13Cglutamine100min_intra.CDF
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N3_13Cglutamine1h_intra.CDF
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N3_13Cglutamine20min_intra.CDF
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N3_ammonia_media.CDF
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
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IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
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IGNORED:  Assay_Protocol REF
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Cell type
Number of rows removed due to not enough metadata: 0
Returning 154 rows!
Added 154 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS123
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1259
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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S220.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 252 rows!
Added 252 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1266
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
NEG
IDA-NEG-Aqu_KO1.wiff.mzML
FILES
DERIVED_FILES
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IDA-NEG-Aqu_KO2.wiff.mzML
FILES
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SWATH-NEG_WT2.wiff.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1267
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1274
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1275
Request successful!
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wt3_13C.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1285
Request successful!
SampleCollectionMethod: ADDED!
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181012_RC181009_D9.raw
FILES
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181012_RC181009_PBQC_11.raw
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
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IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Collection time
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 63 rows!
Added 63 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1286
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  8%|▊         | 126/1662 [12:07<2:08:14,  5.01s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 23
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS129
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
  Agilent 6540 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
TT8-Br1-Tr1.RAW
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TT8-Br1-Tr1.d
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS131
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1326
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1334/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6545 Q-TOF: missing value
FILES
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Number of rows removed due to not enough metadata: 55
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1355
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1357
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1358
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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UBERONBodyPartName:
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FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  8%|▊         | 133/1662 [12:32<1:47:21,  4.21s/it]
  8%|▊         | 134/1662 [12:33<1:22:39,  3.25s/it]
HEP_SOL1_LYS_012_pos.raw
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Number of rows removed due to not enough metadata: 20
Returning 132 rows!
Added 132 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1359
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS136
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Is Fluid
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
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IGNORED:  Samples_CurrentPMH
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Detector mode
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
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IGNORED:  Assay_Term Accession Number.18
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IGNORED:  Assay_Term Source REF.20
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IGNORED:  keep
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IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.6
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IGNORED:  base
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IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Samples_Organism part
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Number of rows removed due to not enough metadata: 0
Returning 6186 rows!
Added 6186 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1370
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1371/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  8%|▊         | 137/1662 [15:25<11:32:53, 27.26s/it]
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-XS QTof: missing value
IonizationSourceAndPolarity:
   (negative): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
IKHH29.mzxml
FILES
IKHH36.mzxml
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IKHH38.mzxml
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IKHH40.mzxml
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IKSM96.mzxml
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MK103.mzxml
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MK124.mzxml
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MK136.mzxml
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MK161.mzxml
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MK163.mzxml
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MK175.mzxml
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MK196.mzxml
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MK223.mzxml
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MK242.mzxml
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MK263.mzxml
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MK268.mzxml
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MK275.mzxml
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FILES
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FILES
MK291.mzxml
FILES
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FILES
MK294.mzxml
FILES
MK295.mzxml
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MK296.mzxml
FILES
MK297.mzxml
FILES
MK299.mzxml
FILES
MK300.mzxml
FILES
MK301.mzxml
FILES
MK310.mzxml
FILES
MK312.mzxml
FILES
MK32.mzxml
FILES
MK332.mzxml
FILES
MK76.mzxml
FILES
MK81.mzxml
FILES
MK83.mzxml
FILES
MK87.mzxml
FILES
MK88.mzxml
FILES
MK90.mzxml
FILES
MK91.mzxml
FILES
MK92.mzxml
FILES
MK93.mzxml
FILES
MK95.mzxml
FILES
MK99.mzxml
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Samples_hrHPV
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 130 rows!
Added 130 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1375
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6495A Triple Quadrupole: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
100_PLASMA_H044_B-2.mzML
FILES
101_PLASMA_H047_B-1.mzML
FILES
102_PLASMA_H047_B-2.mzML
FILES
103_TQC_B-1.mzML
FILES
104_TQC_B-2.mzML
FILES
105_BQC_4_B-1.mzML
FILES
106_BQC_4_B-2.mzML
FILES
107_PLASMA_H048_B-1.mzML
FILES
108_PLASMA_H048_B-2.mzML
FILES
109_PLASMA_H049_B-1.mzML
FILES
10_BQC_1_A-2.mzML
FILES
110_PLASMA_H049_B-2.mzML
FILES
111_PLASMA_H050_B-1.mzML
FILES
112_PLASMA_H050_B-2.mzML
FILES
113_PLASMA_H051_B-1.mzML
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114_PLASMA_H051_B-2.mzML
FILES
115_BQC_5_B-1.mzML
FILES
116_BQC_5_B-2.mzML
FILES
117_PLASMA_H052_B-1.mzML
FILES
118_PLASMA_H052_B-2.mzML
FILES
119_PLASMA_H053_B-1.mzML
FILES
11_PLASMA_H002_A-1.mzML
FILES
120_PLASMA_H053_B-2.mzML
FILES
121_PLASMA_H055_B-1.mzML
FILES
122_PLASMA_H055_B-2.mzML
FILES
123_PLASMA_H056_B-1.mzML
FILES
124_PLASMA_H056_B-2.mzML
FILES
125_BQC_6_B-1.mzML
FILES
126_BQC_6_B-2.mzML
FILES
127_PLASMA_H057_B-1.mzML
FILES
128_PLASMA_H057_B-2.mzML
FILES
129_PLASMA_H058_B-1.mzML
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12_PLASMA_H002_A-2.mzML
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130_PLASMA_H058_B-2.mzML
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131_PLASMA_H059_B-1.mzML
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132_PLASMA_H059_B-2.mzML
FILES
133_PLASMA_H060_B-1.mzML
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134_PLASMA_H060_B-2.mzML
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135_BQC_7_B-1.mzML
FILES
136_BQC_7_B-2.mzML
FILES
137_RQC-2-0.mzML
FILES
138_RQC-2-10.mzML
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139_RQC-2-20.mzML
FILES
13_PLASMA_H008_A-1.mzML
FILES
140_RQC-2-40.mzML
FILES
141_RQC-2-60.mzML
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142_RQC-2-80.mzML
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143_RQC-2-100.mzML
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144_TQC_B-1.mzML
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145_TQC_B-2.mzML
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14_PLASMA_H008_A-2.mzML
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15_PLASMA_H010_A-1.mzML
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16_PLASMA_H010_A-2.mzML
FILES
17_PLASMA_H012_A-1.mzML
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18_PLASMA_H012_A-2.mzML
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19_BQC_2_A-1.mzML
FILES
1_LTR_1_A-1.mzML
FILES
20_BQC_2_A-2.mzML
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21_PLASMA_H018_A-1.mzML
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22_PLASMA_H018_A-2.mzML
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25_PLASMA_H042_A-1.mzML
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26_PLASMA_H042_A-2.mzML
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27_PLASMA_H043_A-1.mzML
FILES
28_PLASMA_H043_A-2.mzML
FILES
29_BQC_3_A-1.mzML
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2_LTR_1_A-2.mzML
FILES
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31_PLASMA_H044_A-1.mzML
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32_PLASMA_H044_A-2.mzML
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33_PLASMA_H047_A-1.mzML
FILES
34_PLASMA_H047_A-2.mzML
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35_TQC_A-1.mzML
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37_BQC_4_A-1.mzML
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38_BQC_4_A-2.mzML
FILES
39_PLASMA_H048_A-1.mzML
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3_LTR_2_A-1.mzML
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FILES
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FILES
47_BQC_5_A-1.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  8%|▊         | 138/1662 [15:31<8:52:24, 20.96s/it] /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  8%|▊         | 139/1662 [15:36<6:50:22, 16.17s/it]
FILES
48_BQC_5_A-2.mzML
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4_LTR_2_A-2.mzML
FILES
50_PLASMA_H052_A-2.mzML
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51_PLASMA_H053_A-1.mzML
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52_PLASMA_H053_A-2.mzML
FILES
53_PLASMA_H055_A-1.mzML
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54_PLASMA_H055_A-2.mzML
FILES
55_PLASMA_H056_A-1.mzML
FILES
56_PLASMA_H056_A-2.mzML
FILES
57_BQC_6_A-1.mzML
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58_BQC_6_A-2.mzML
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59_PLASMA_H057_A-1.mzML
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5_NIST_A-1.mzML
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60_PLASMA_H057_A-2.mzML
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61_PLASMA_H058_A-1.mzML
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62_PLASMA_H058_A-2.mzML
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63_PLASMA_H059_A-1.mzML
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64_PLASMA_H059_A-2.mzML
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65_PLASMA_H060_A-1.mzML
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66_PLASMA_H060_A-2.mzML
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67_BQC_7_A-1.mzML
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68_BQC_7_A-2.mzML
FILES
69_LTR_1_B-1.mzML
FILES
6_NIST_A-2.mzML
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70_LTR_1_B-2.mzML
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71_LTR_2_B-1.mzML
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72_LTR_2_B-2.mzML
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73_NIST_B-1.mzML
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74_NIST_B-2.mzML
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75_TQC_B-1.mzML
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76_TQC_B-2.mzML
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77_BQC_1_B-1.mzML
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7_TQC_A-1.mzML
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80_PLASMA_H002_B-2.mzML
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81_PLASMA_H008_B-1.mzML
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82_PLASMA_H008_B-2.mzML
FILES
83_PLASMA_H010_B-1.mzML
FILES
84_PLASMA_H010_B-2.mzML
FILES
85_PLASMA_H012_B-1.mzML
FILES
86_PLASMA_H012_B-2.mzML
FILES
87_BQC_2_B-1.mzML
FILES
88_BQC_2_B-2.mzML
FILES
89_PLASMA_H018_B-1.mzML
FILES
8_TQC_A-2.mzML
FILES
90_PLASMA_H018_B-2.mzML
FILES
91_PLASMA_H041_B-1.mzML
FILES
92_PLASMA_H041_B-2.mzML
FILES
93_PLASMA_H042_B-1.mzML
FILES
94_PLASMA_H042_B-2.mzML
FILES
95_PLASMA_H043_B-1.mzML
FILES
96_PLASMA_H043_B-2.mzML
FILES
97_BQC_3_B-1.mzML
FILES
98_BQC_3_B-2.mzML
FILES
99_PLASMA_H044_B-1.mzML
FILES
9_BQC_1_A-1.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Ethnic group
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Reference sample
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 145 rows!
Added 145 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1376
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QExHF03_HPLC_0000546.mzML
FILES
QExHF03_HPLC_0000547.mzML
FILES
QExHF03_HPLC_0000548.mzML
FILES
QExHF03_HPLC_0000549.mzML
FILES
QExHF03_HPLC_0000550.mzML
FILES
QExHF03_HPLC_0000551.mzML
FILES
QExHF03_HPLC_0000552.mzML
FILES
QExHF03_HPLC_0000553.mzML
FILES
QExHF03_HPLC_0000554.mzML
FILES
QExHF03_HPLC_0000555.mzML
FILES
QExHF03_HPLC_0000556.mzML
FILES
QExHF03_HPLC_0000557.mzML
FILES
QExHF03_HPLC_0000558.mzML
FILES
QExHF03_HPLC_0000559.mzML
FILES
QExHF03_HPLC_0000560.mzML
FILES
QExHF03_HPLC_0000561.mzML
FILES
QExHF03_HPLC_0000562.mzML
FILES
QExHF03_HPLC_0000563.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Sample role
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS138
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA03PDPOL20181115_KGCO0418VWSS7000000127_RAT_FECAL3_17.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
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IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
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Number of rows removed due to not enough metadata: 0
Returning 640 rows!
Added 640 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1381
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QTrap007519_031618-0.01Thr6.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 20
Returning 160 rows!
Added 160 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1390
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  9%|▊         | 142/1662 [16:09<4:57:54, 11.76s/it]
  9%|▊         | 143/1662 [16:10<3:34:37,  8.48s/it]
DOIDCommonName: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1391
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1396
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 47
Returning 644 rows!
Added 644 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1402
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
  Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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20170717_QEX_synchronized_rep2_60min.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 252 rows!
Added 252 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1407
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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ENVOEnvironmentBiome:
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20170818_SAM3392_urine_neg.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1410
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1411
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1430
Request successful!
SampleCollectionMethod: ADDED!
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InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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Sol_Seed_Leaf_75_0_25_1-B,3_01_2493.mzxml/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

  9%|▉         | 149/1662 [16:46<2:02:50,  4.87s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
Sol_Seed_Leaf_75_0_25_1-B,3_01_2499.mzxml
FILES
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FILES
Sol_Seed_Leaf_75_0_25_1-B,3_01_2531.mzxml
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Sol_Seed_Leaf_75_25_0_1-A,5_01_2463.mzxml
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Sol_Seed_Leaf_75_25_0_1-A,5_01_2496.mzxml
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Samples_Term Source REF.3
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 100 rows!
Added 100 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1432
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker solariX FTMS: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS144
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
FILES
Mtab_FT_012611_07.RAW
FILES
Mtab_FT_012611_08.RAW
FILES
Mtab_FT_012611_09.RAW
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Mtab_FT_020211_10.RAW
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Mtab_FT_020211_26.RAW
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Mtab_FT_020211_27.RAW
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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Mtab_FT_020211_28.RAW
FILES
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Mtab_FT_020311_04.RAW
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Mtab_FT_020311_08.RAW
FILES
Mtab_FT_020311_09.RAW
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Mtab_FT_020311_10.RAW
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Mtab_FT_020311_11.RAW
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Mtab_FT_020311_12.RAW
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Mtab_FT_020311_16.RAW
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Mtab_FT_020311_18.RAW
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Mtab_FT_020311_19.RAW
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Mtab_FT_020311_20.RAW
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Mtab_FT_020311_21.RAW
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Mtab_FT_020311_22.RAW
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Mtab_FT_020311_24.RAW
FILES
Mtab_FT_020311_25.RAW
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Mtab_FT_020311_26.RAW
FILES
Mtab_FT_020311_27.RAW
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1446
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
IonizationSourceAndPolarity:
  electron ionization (negative): missing value
ENVOEnvironmentBiome:
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FILES
Adrenal_Gland_1.raw
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Adrenal_Gland_10.raw
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Adrenal_Gland_12.raw
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Adrenal_Gland_3.raw
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Bladder_10.raw
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Bladder_11.raw
FILES
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FILES
Bladder_2.raw
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Bladder_3.raw
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Cerebrum_1.raw
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Cerebrum_2.raw
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Cerebrum_3.raw
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Colon_1.raw
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Duodenum_1.raw
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Duodenum_10.raw
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Testis_13.raw
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Testis_3.raw
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IGNORED:  Assay_Labeled Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  9%|▉         | 152/1662 [17:00<2:06:23,  5.02s/it]
  9%|▉         | 153/1662 [17:01<1:34:50,  3.77s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  9%|▉         | 154/1662 [17:09<2:04:33,  4.96s/it]
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 34
Returning 81 rows!
Added 81 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1452
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1455
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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Number of rows removed due to not enough metadata: 40
Returning 11 rows!
Added 11 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1464
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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HealthStatus: ADDED!
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Country: ADDED!
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IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Phenotype
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Sample Name
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IGNORED:  Samples_Collection Number
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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  9%|▉         | 155/1662 [17:21<2:56:50,  7.04s/it]
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 519 rows!
Added 519 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1465
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QC16.mzML
FILES
plasma_HILIC_negative
QC17_MSMS_70_200.mzML
FILES
plasma_HILIC_negative
QC18_MSMS_200_400.mzML
FILES
plasma_HILIC_negative
QC19_MSMS_400_1000.mzML
FILES
plasma_HILIC_negative
QC2.mzML
FILES
plasma_HILIC_negative
QC3.mzML
FILES
plasma_HILIC_negative
QC4.mzML
FILES
plasma_HILIC_negative
QC5.mzML
FILES
plasma_HILIC_negative
QC6.mzML
FILES
plasma_HILIC_negative
QC7.mzML
FILES
plasma_HILIC_negative
QC8.mzML
FILES
plasma_HILIC_negative
QC9.mzML
FILES
plasma_HILIC_positive
ACN_0_A.mzML
FILES
plasma_HILIC_positive
ACN_0_B.mzML
FILES
plasma_HILIC_positive
ACN_0_BLANK.mzML
FILES
plasma_HILIC_positive
ACN_0_BLANK_01.mzML
FILES
plasma_HILIC_positive
ACN_0_C1.mzML
FILES
plasma_HILIC_positive
ACN_0_C2.mzML
FILES
plasma_HILIC_positive
ACN_0_C3.mzML
FILES
plasma_HILIC_positive
ACN_20C_A.mzML
FILES
plasma_HILIC_positive
ACN_20C_B.mzML
FILES
plasma_HILIC_positive
ACN_20C_BLANK.mzML
FILES
plasma_HILIC_positive
ACN_20C_C1.mzML
FILES
plasma_HILIC_positive
ACN_20C_C2.mzML
FILES
plasma_HILIC_positive
ACN_20C_C3.mzML
FILES
plasma_HILIC_positive
ACN_4C_A.mzML
FILES
plasma_HILIC_positive
ACN_4C_B.mzML
FILES
plasma_HILIC_positive
ACN_4C_BLANK.mzML
FILES
plasma_HILIC_positive
ACN_4C_C1.mzML
FILES
plasma_HILIC_positive
ACN_4C_C2.mzML
FILES
plasma_HILIC_positive
ACN_4C_C3.mzML
FILES
plasma_HILIC_positive
CHCL3_1min_A.mzML
FILES
plasma_HILIC_positive
CHCL3_1min_B.mzML
FILES
plasma_HILIC_positive
CHCL3_1min_BLANK.mzML
FILES
plasma_HILIC_positive
CHCL3_1min_C1.mzML
FILES
plasma_HILIC_positive
CHCL3_1min_C2.mzML
FILES
plasma_HILIC_positive
CHCL3_1min_C3.mzML
FILES
plasma_HILIC_positive
CHCL3_20min_A.mzML
FILES
plasma_HILIC_positive
CHCL3_20min_B.mzML
FILES
plasma_HILIC_positive
CHCL3_20min_BLANK.mzML
FILES
plasma_HILIC_positive
CHCL3_20min_C1.mzML
FILES
plasma_HILIC_positive
CHCL3_20min_C2.mzML
FILES
plasma_HILIC_positive
CHCL3_20min_C3.mzML
FILES
plasma_HILIC_positive
DCM_1min_A.mzML
FILES
plasma_HILIC_positive
DCM_1min_B.mzML
FILES
plasma_HILIC_positive
DCM_1min_BLANK.mzML
FILES
plasma_HILIC_positive
DCM_1min_C1.mzML
FILES
plasma_HILIC_positive
DCM_1min_C2.mzML
FILES
plasma_HILIC_positive
DCM_1min_C3.mzML
FILES
plasma_HILIC_positive
DCM_20min_A.mzML
FILES
plasma_HILIC_positive
DCM_20min_B.mzML
FILES
plasma_HILIC_positive
DCM_20min_BLANK.mzML
FILES
plasma_HILIC_positive
DCM_20min_C1.mzML
FILES
plasma_HILIC_positive
DCM_20min_C2.mzML
FILES
plasma_HILIC_positive
DCM_20min_C3.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_0_A.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_0_B.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_0_BLANK.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_0_C1.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_0_C2.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_0_C3.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_20C_A.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_20C_B.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_20C_BLANK.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_20C_C1.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_20C_C2.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_20C_C3.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_4C_A.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_4C_B.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_4C_BLANK.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_4C_C1.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_4C_C2.mzML
FILES
plasma_HILIC_positive
MEOH_ACN_4C_C3.mzML
FILES
plasma_HILIC_positive
MTBE_1min_A.mzML
FILES
plasma_HILIC_positive
MTBE_1min_B.mzML
FILES
plasma_HILIC_positive
MTBE_1min_BLANK.mzML
FILES
plasma_HILIC_positive
MTBE_1min_C1.mzML
FILES
plasma_HILIC_positive
MTBE_1min_C2.mzML
FILES
plasma_HILIC_positive
MTBE_1min_C3.mzML
FILES
plasma_HILIC_positive
MTBE_20min_A.mzML
FILES
plasma_HILIC_positive
MTBE_20min_B.mzML
FILES
plasma_HILIC_positive
MTBE_20min_BLANK.mzML
FILES
plasma_HILIC_positive
MTBE_20min_C1.mzML
FILES
plasma_HILIC_positive
MTBE_20min_C2.mzML
FILES
plasma_HILIC_positive
MTBE_20min_C3.mzML
FILES
plasma_HILIC_positive
MeOH_0_A.mzML
FILES
plasma_HILIC_positive
MeOH_0_B.mzML
FILES
plasma_HILIC_positive
MeOH_0_BLANK.mzML
FILES
plasma_HILIC_positive
MeOH_0_C1.mzML
FILES
plasma_HILIC_positive
MeOH_0_C2.mzML
FILES
plasma_HILIC_positive
MeOH_0_C3.mzML
FILES
plasma_HILIC_positive
MeOH_20C_A.mzML
FILES
plasma_HILIC_positive
MeOH_20C_B.mzML
FILES
plasma_HILIC_positive
MeOH_20C_BLANK.mzML
FILES
plasma_HILIC_positive
MeOH_20C_C1.mzML
FILES
plasma_HILIC_positive
MeOH_20C_C2.mzML
FILES
plasma_HILIC_positive
MeOH_20C_C3.mzML
FILES
plasma_HILIC_positive
MeOH_4C_A.mzML
FILES
plasma_HILIC_positive
MeOH_4C_B.mzML
FILES
plasma_HILIC_positive
MeOH_4C_BLANK.mzML
FILES
plasma_HILIC_positive
MeOH_4C_C1.mzML
FILES
plasma_HILIC_positive
MeOH_4C_C2.mzML
FILES
plasma_HILIC_positive
MeOH_4C_C3.mzML
FILES
plasma_HILIC_positive
QC1.mzML
FILES
plasma_HILIC_positive
QC10.mzML
FILES
plasma_HILIC_positive
QC11.mzML
FILES
plasma_HILIC_positive
QC12.mzML
FILES
plasma_HILIC_positive
QC13.mzML
FILES
plasma_HILIC_positive
QC14.mzML
FILES
plasma_HILIC_positive
QC15.mzML
FILES
plasma_HILIC_positive
QC16.mzML
FILES
plasma_HILIC_positive
QC17.mzML
FILES
plasma_HILIC_positive
QC18.mzML
FILES
plasma_HILIC_positive
QC19.mzML
FILES
plasma_HILIC_positive
QC2.mzML
FILES
plasma_HILIC_positive
QC20.mzML
FILES
plasma_HILIC_positive
QC21.mzML
FILES
plasma_HILIC_positive
QC22.mzML
FILES
plasma_HILIC_positive
QC23_MSMS_70_200.mzML
FILES
plasma_HILIC_positive
QC24_MSMS_200_400.mzML
FILES
plasma_HILIC_positive
QC25_MSMS_400_1000.mzML
FILES
plasma_HILIC_positive
QC3.mzML
FILES
plasma_HILIC_positive
QC4.mzML
FILES
plasma_HILIC_positive
QC5.mzML
FILES
plasma_HILIC_positive
QC9.mzML
FILES
plasma_RP_lipids_negative
ACN_0_A.mzML
FILES
plasma_RP_lipids_negative
ACN_0_B.mzML
FILES
plasma_RP_lipids_negative
ACN_0_BLANK.mzML
FILES
plasma_RP_lipids_negative
ACN_0_C1.mzML
FILES
plasma_RP_lipids_negative
ACN_0_C2.mzML
FILES
plasma_RP_lipids_negative
ACN_0_C3.mzML
FILES
plasma_RP_lipids_negative
ACN_20C_A.mzML
FILES
plasma_RP_lipids_negative
ACN_20C_B.mzML
FILES
plasma_RP_lipids_negative
ACN_20C_BLANK.mzML
FILES
plasma_RP_lipids_negative
ACN_20C_C1.mzML
FILES
plasma_RP_lipids_negative
ACN_20C_C2.mzML
FILES
plasma_RP_lipids_negative
ACN_20C_C3.mzML
FILES
plasma_RP_lipids_negative
ACN_4C_A.mzML
FILES
plasma_RP_lipids_negative
ACN_4C_B.mzML
FILES
plasma_RP_lipids_negative
ACN_4C_BLANK.mzML
FILES
plasma_RP_lipids_negative
ACN_4C_C1.mzML
FILES
plasma_RP_lipids_negative
ACN_4C_C2.mzML
FILES
plasma_RP_lipids_negative
ACN_4C_C3.mzML
FILES
plasma_RP_lipids_negative
CHCL3_1min_A.mzML
FILES
plasma_RP_lipids_negative
CHCL3_1min_B.mzML
FILES
plasma_RP_lipids_negative
CHCL3_1min_BLANK.mzML
FILES
plasma_RP_lipids_negative
CHCL3_1min_C1.mzML
FILES
plasma_RP_lipids_negative
CHCL3_1min_C2.mzML
FILES
plasma_RP_lipids_negative
CHCL3_1min_C3.mzML
FILES
plasma_RP_lipids_negative
CHCL3_20min_A.mzML
FILES
plasma_RP_lipids_negative
CHCL3_20min_B.mzML
FILES
plasma_RP_lipids_negative
CHCL3_20min_BLANK.mzML
FILES
plasma_RP_lipids_negative
CHCL3_20min_C1.mzML
FILES
plasma_RP_lipids_negative
CHCL3_20min_C2.mzML
FILES
plasma_RP_lipids_negative
CHCL3_20min_C3.mzML
FILES
plasma_RP_lipids_negative
DCM_1min_A.mzML
FILES
plasma_RP_lipids_negative
DCM_1min_B.mzML
FILES
plasma_RP_lipids_negative
DCM_1min_BLANK.mzML
FILES
plasma_RP_lipids_negative
DCM_1min_C1.mzML
FILES
plasma_RP_lipids_negative
DCM_1min_C2.mzML
FILES
plasma_RP_lipids_negative
DCM_1min_C3.mzML
FILES
plasma_RP_lipids_negative
DCM_20min_A.mzML
FILES
plasma_RP_lipids_negative
DCM_20min_B.mzML
FILES
plasma_RP_lipids_negative
DCM_20min_BLANK.mzML
FILES
plasma_RP_lipids_negative
DCM_20min_C1.mzML
FILES
plasma_RP_lipids_negative
DCM_20min_C2.mzML
FILES
plasma_RP_lipids_negative
DCM_20min_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_0_A.mzML
FILES
plasma_RP_lipids_negative
IPA_0_B.mzML
FILES
plasma_RP_lipids_negative
IPA_0_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_0_BLANK_01.mzML
FILES
plasma_RP_lipids_negative
IPA_0_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_0_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_0_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_20C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_20C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_20C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_20C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_20C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_20C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_4C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_4C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_4C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_4C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_4C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_4C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_0_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_0_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_0_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_0_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_0_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_0_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_20C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_20C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_20C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_20C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_20C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_20C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_4C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_4C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_4C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_4C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_4C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_25_75_4C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_0_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_0_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_0_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_0_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_0_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_0_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_20C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_20C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_20C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_20C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_20C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_20C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_4C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_4C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_4C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_4C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_4C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_50_50_4C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_0_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_0_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_0_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_0_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_0_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_0_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_20C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_20C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_20C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_20C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_20C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_20C_C3.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_4C_A.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_4C_B.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_4C_BLANK.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_4C_C1.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_4C_C2.mzML
FILES
plasma_RP_lipids_negative
IPA_ACN_75_25_4C_C3.mzML
FILES
plasma_RP_lipids_negative
MTBE_1min_A.mzML
FILES
plasma_RP_lipids_negative
MTBE_1min_B.mzML
FILES
plasma_RP_lipids_negative
MTBE_1min_BLANK.mzML
FILES
plasma_RP_lipids_negative
MTBE_1min_C1.mzML
FILES
plasma_RP_lipids_negative
MTBE_1min_C2.mzML
FILES
plasma_RP_lipids_negative
MTBE_1min_C3.mzML
FILES
plasma_RP_lipids_negative
MTBE_20min_A.mzML
FILES
plasma_RP_lipids_negative
MTBE_20min_B.mzML
FILES
plasma_RP_lipids_negative
MTBE_20min_BLANK.mzML
FILES
plasma_RP_lipids_negative
MTBE_20min_C1.mzML
FILES
plasma_RP_lipids_negative
MTBE_20min_C2.mzML
FILES
plasma_RP_lipids_negative
MTBE_20min_C3.mzML
FILES
plasma_RP_lipids_negative
QC1.mzML
FILES
plasma_RP_lipids_negative
QC10.mzML
FILES
plasma_RP_lipids_negative
QC11.mzML
FILES
plasma_RP_lipids_negative
QC12.mzML
FILES
plasma_RP_lipids_negative
QC13.mzML
FILES
plasma_RP_lipids_negative
QC14.mzML
FILES
plasma_RP_lipids_negative
QC15.mzML
FILES
plasma_RP_lipids_negative
QC16.mzML
FILES
plasma_RP_lipids_negative
QC17.mzML
FILES
plasma_RP_lipids_negative
QC18.mzML
FILES
plasma_RP_lipids_negative
QC19.mzML
FILES
plasma_RP_lipids_negative
QC2.mzML
FILES
plasma_RP_lipids_negative
QC20.mzML
FILES
plasma_RP_lipids_negative
QC21.mzML
FILES
plasma_RP_lipids_negative
QC22.mzML
FILES
plasma_RP_lipids_negative
QC3.mzML
FILES
plasma_RP_lipids_negative
QC4.mzML
FILES
plasma_RP_lipids_negative
QC5.mzML
FILES
plasma_RP_lipids_negative
QC6_MSMS_100_300.mzML
FILES
plasma_RP_lipids_negative
QC7_MSMS_300_600.mzML
FILES
plasma_RP_lipids_negative
QC8_MSMS_600_1500.mzML
FILES
plasma_RP_lipids_negative
QC9.mzML
FILES
plasma_RP_lipids_positive
ACN_0_A.mzML
FILES
plasma_RP_lipids_positive
ACN_0_B.mzML
FILES
plasma_RP_lipids_positive
ACN_0_BLANK.mzML
FILES
plasma_RP_lipids_positive
ACN_0_C1.mzML
FILES
plasma_RP_lipids_positive
ACN_0_C2.mzML
FILES
plasma_RP_lipids_positive
ACN_0_C3.mzML
FILES
plasma_RP_lipids_positive
ACN_20C_A.mzML
FILES
plasma_RP_lipids_positive
ACN_20C_B.mzML
FILES
plasma_RP_lipids_positive
ACN_20C_BLANK.mzML
FILES
plasma_RP_lipids_positive
ACN_20C_C1.mzML
FILES
plasma_RP_lipids_positive
ACN_20C_C2.mzML
FILES
plasma_RP_lipids_positive
ACN_20C_C3.mzML
FILES
plasma_RP_lipids_positive
ACN_4C_A.mzML
FILES
plasma_RP_lipids_positive
ACN_4C_B.mzML
FILES
plasma_RP_lipids_positive
ACN_4C_BLANK.mzML
FILES
plasma_RP_lipids_positive
ACN_4C_C1.mzML
FILES
plasma_RP_lipids_positive
ACN_4C_C2.mzML
FILES
plasma_RP_lipids_positive
ACN_4C_C3.mzML
FILES
plasma_RP_lipids_positive
CHCL3_1min_A.mzML
FILES
plasma_RP_lipids_positive
CHCL3_1min_B.mzML
FILES
plasma_RP_lipids_positive
CHCL3_1min_BLANK.mzML
FILES
plasma_RP_lipids_positive
CHCL3_1min_C1.mzML
FILES
plasma_RP_lipids_positive
CHCL3_1min_C2.mzML
FILES
plasma_RP_lipids_positive
CHCL3_1min_C3.mzML
FILES
plasma_RP_lipids_positive
CHCL3_20min_A.mzML
FILES
plasma_RP_lipids_positive
CHCL3_20min_B.mzML
FILES
plasma_RP_lipids_positive
CHCL3_20min_BLANK.mzML
FILES
plasma_RP_lipids_positive
CHCL3_20min_C1.mzML
FILES
plasma_RP_lipids_positive
CHCL3_20min_C2.mzML
FILES
plasma_RP_lipids_positive
CHCL3_20min_C3.mzML
FILES
plasma_RP_lipids_positive
DCM_1min_A.mzML
FILES
plasma_RP_lipids_positive
DCM_1min_B.mzML
FILES
plasma_RP_lipids_positive
DCM_1min_BLANK.mzML
FILES
plasma_RP_lipids_positive
DCM_1min_C1.mzML
FILES
plasma_RP_lipids_positive
DCM_1min_C2.mzML
FILES
plasma_RP_lipids_positive
DCM_1min_C3.mzML
FILES
plasma_RP_lipids_positive
DCM_20min_A.mzML
FILES
plasma_RP_lipids_positive
DCM_20min_B.mzML
FILES
plasma_RP_lipids_positive
DCM_20min_BLANK.mzML
FILES
plasma_RP_lipids_positive
DCM_20min_C1.mzML
FILES
plasma_RP_lipids_positive
DCM_20min_C2.mzML
FILES
plasma_RP_lipids_positive
DCM_20min_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_0_A.mzML
FILES
plasma_RP_lipids_positive
IPA_0_B.mzML
FILES
plasma_RP_lipids_positive
IPA_0_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_0_BLANK_01.mzML
FILES
plasma_RP_lipids_positive
IPA_0_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_0_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_0_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_20C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_20C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_20C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_20C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_20C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_20C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_4C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_4C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_4C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_4C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_4C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_4C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_0_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_0_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_0_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_0_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_0_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_0_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_20C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_20C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_20C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_20C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_20C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_20C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_4C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_4C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_4C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_4C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_4C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_25_75_4C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_0_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_0_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_0_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_0_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_0_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_0_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_20C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_20C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_20C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_20C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_20C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_20C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_4C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_4C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_4C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_4C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_4C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_50_50_4C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_0_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_0_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_0_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_0_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_0_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_0_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_20C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_20C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_20C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_20C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_20C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_20C_C3.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_4C_A.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_4C_B.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_4C_BLANK.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_4C_C1.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_4C_C2.mzML
FILES
plasma_RP_lipids_positive
IPA_ACN_75_25_4C_C3.mzML
FILES
plasma_RP_lipids_positive
MTBE_1min_A.mzML
FILES
plasma_RP_lipids_positive
MTBE_1min_B.mzML
FILES
plasma_RP_lipids_positive
MTBE_1min_BLANK.mzML
FILES
plasma_RP_lipids_positive
MTBE_1min_C1.mzML
FILES
plasma_RP_lipids_positive
MTBE_1min_C2.mzML
FILES
plasma_RP_lipids_positive
MTBE_1min_C3.mzML
FILES
plasma_RP_lipids_positive
MTBE_20min_A.mzML
FILES
plasma_RP_lipids_positive
MTBE_20min_B.mzML
FILES
plasma_RP_lipids_positive
MTBE_20min_BLANK.mzML
FILES
plasma_RP_lipids_positive
MTBE_20min_C1.mzML
FILES
plasma_RP_lipids_positive
MTBE_20min_C2.mzML
FILES
plasma_RP_lipids_positive
MTBE_20min_C3.mzML
FILES
plasma_RP_lipids_positive
QC1.mzML
FILES
plasma_RP_lipids_positive
QC10.mzML
FILES
plasma_RP_lipids_positive
QC11.mzML
FILES
plasma_RP_lipids_positive
QC12.mzML
FILES
plasma_RP_lipids_positive
QC13.mzML
FILES
plasma_RP_lipids_positive
QC14.mzML
FILES
plasma_RP_lipids_positive
QC15.mzML
FILES
plasma_RP_lipids_positive
QC16.mzML
FILES
plasma_RP_lipids_positive
QC17.mzML
FILES
plasma_RP_lipids_positive
QC18.mzML
FILES
plasma_RP_lipids_positive
QC19.mzML
FILES
plasma_RP_lipids_positive
QC2.mzML
FILES
plasma_RP_lipids_positive
QC20.mzML
FILES
plasma_RP_lipids_positive
QC21.mzML
FILES
plasma_RP_lipids_positive
QC22.mzML
FILES
plasma_RP_lipids_positive
QC3.mzML
FILES
plasma_RP_lipids_positive
QC4.mzML
FILES
plasma_RP_lipids_positive
QC5.mzML
FILES
plasma_RP_lipids_positive
QC6_MSMS_100_300.mzML
FILES
plasma_RP_lipids_positive
QC7_MSMS_300_600.mzML
FILES
plasma_RP_lipids_positive
QC8_MSMS_600_1500.mzML
FILES
plasma_RP_lipids_positive
QC9.mzML
FILES
urine_HILIC_negative
ACN_0_A.mzML
FILES
urine_HILIC_negative
ACN_0_B.mzML
FILES
urine_HILIC_negative
ACN_0_BLANK.mzML
FILES
urine_HILIC_negative
ACN_0_BLANK_01.mzML
FILES
urine_HILIC_negative
ACN_0_C1.mzML
FILES
urine_HILIC_negative
ACN_0_C2.mzML
FILES
urine_HILIC_negative
ACN_0_C3.mzML
FILES
urine_HILIC_negative
ACN_20C_A.mzML
FILES
urine_HILIC_negative
ACN_20C_B.mzML
FILES
urine_HILIC_negative
ACN_20C_BLANK.mzML
FILES
urine_HILIC_negative
ACN_20C_C1.mzML
FILES
urine_HILIC_negative
ACN_20C_C2.mzML
FILES
urine_HILIC_negative
ACN_20C_C3.mzML
FILES
urine_HILIC_negative
ACN_4C_A.mzML
FILES
urine_HILIC_negative
ACN_4C_B.mzML
FILES
urine_HILIC_negative
ACN_4C_BLANK.mzML
FILES
urine_HILIC_negative
ACN_4C_C1.mzML
FILES
urine_HILIC_negative
ACN_4C_C2.mzML
FILES
urine_HILIC_negative
ACN_4C_C3.mzML
FILES
urine_HILIC_negative
ACN_H20_0_A.mzML
FILES
urine_HILIC_negative
ACN_H20_0_B.mzML
FILES
urine_HILIC_negative
ACN_H20_0_C1.mzML
FILES
urine_HILIC_negative
ACN_H20_0_C2.mzML
FILES
urine_HILIC_negative
ACN_H20_0_C3.mzML
FILES
urine_HILIC_negative
ACN_H20_20C_A.mzML
FILES
urine_HILIC_negative
ACN_H20_20C_B.mzML
FILES
urine_HILIC_negative
ACN_H20_20C_C1.mzML
FILES
urine_HILIC_negative
ACN_H20_20C_C2.mzML
FILES
urine_HILIC_negative
ACN_H20_20C_C3.mzML
FILES
urine_HILIC_negative
ACN_H20_4C_A.mzML
FILES
urine_HILIC_negative
ACN_H20_4C_B.mzML
FILES
urine_HILIC_negative
ACN_H20_4C_C1.mzML
FILES
urine_HILIC_negative
ACN_H20_4C_C2.mzML
FILES
urine_HILIC_negative
ACN_H20_4C_C3.mzML
FILES
urine_HILIC_negative
ACN_H2O_0_BLANK.mzML
FILES
urine_HILIC_negative
ACN_H2O_20C_BLANK.mzML
FILES
urine_HILIC_negative
ACN_H2O_4C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_0_A.mzML
FILES
urine_HILIC_negative
MEOH_0_B.mzML
FILES
urine_HILIC_negative
MEOH_0_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_0_C1.mzML
FILES
urine_HILIC_negative
MEOH_0_C2.mzML
FILES
urine_HILIC_negative
MEOH_0_C3.mzML
FILES
urine_HILIC_negative
MEOH_20C_A.mzML
FILES
urine_HILIC_negative
MEOH_20C_B.mzML
FILES
urine_HILIC_negative
MEOH_20C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_20C_C1.mzML
FILES
urine_HILIC_negative
MEOH_20C_C2.mzML
FILES
urine_HILIC_negative
MEOH_20C_C3.mzML
FILES
urine_HILIC_negative
MEOH_4C_A.mzML
FILES
urine_HILIC_negative
MEOH_4C_B.mzML
FILES
urine_HILIC_negative
MEOH_4C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_4C_C1.mzML
FILES
urine_HILIC_negative
MEOH_4C_C2.mzML
FILES
urine_HILIC_negative
MEOH_4C_C3.mzML
FILES
urine_HILIC_negative
MEOH_ACN_0_A.mzML
FILES
urine_HILIC_negative
MEOH_ACN_0_B.mzML
FILES
urine_HILIC_negative
MEOH_ACN_0_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_ACN_0_C1.mzML
FILES
urine_HILIC_negative
MEOH_ACN_0_C2.mzML
FILES
urine_HILIC_negative
MEOH_ACN_0_C3.mzML
FILES
urine_HILIC_negative
MEOH_ACN_20C_A.mzML
FILES
urine_HILIC_negative
MEOH_ACN_20C_B.mzML
FILES
urine_HILIC_negative
MEOH_ACN_20C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_ACN_20C_C1.mzML
FILES
urine_HILIC_negative
MEOH_ACN_20C_C2.mzML
FILES
urine_HILIC_negative
MEOH_ACN_20C_C3.mzML
FILES
urine_HILIC_negative
MEOH_ACN_4C_A.mzML
FILES
urine_HILIC_negative
MEOH_ACN_4C_B.mzML
FILES
urine_HILIC_negative
MEOH_ACN_4C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_ACN_4C_C1.mzML
FILES
urine_HILIC_negative
MEOH_ACN_4C_C2.mzML
FILES
urine_HILIC_negative
MEOH_ACN_4C_C3.mzML
FILES
urine_HILIC_negative
MEOH_H2O_0_A.mzML
FILES
urine_HILIC_negative
MEOH_H2O_0_B.mzML
FILES
urine_HILIC_negative
MEOH_H2O_0_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_H2O_0_C1.mzML
FILES
urine_HILIC_negative
MEOH_H2O_0_C2.mzML
FILES
urine_HILIC_negative
MEOH_H2O_0_C3.mzML
FILES
urine_HILIC_negative
MEOH_H2O_20C_A.mzML
FILES
urine_HILIC_negative
MEOH_H2O_20C_B.mzML
FILES
urine_HILIC_negative
MEOH_H2O_20C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_H2O_20C_C1.mzML
FILES
urine_HILIC_negative
MEOH_H2O_20C_C2.mzML
FILES
urine_HILIC_negative
MEOH_H2O_20C_C3.mzML
FILES
urine_HILIC_negative
MEOH_H2O_4C_A.mzML
FILES
urine_HILIC_negative
MEOH_H2O_4C_B.mzML
FILES
urine_HILIC_negative
MEOH_H2O_4C_BLANK.mzML
FILES
urine_HILIC_negative
MEOH_H2O_4C_C1.mzML
FILES
urine_HILIC_negative
MEOH_H2O_4C_C2.mzML
FILES
urine_HILIC_negative
MEOH_H2O_4C_C3.mzML
FILES
urine_HILIC_negative
QC1.mzML
FILES
urine_HILIC_negative
QC10.mzML
FILES
urine_HILIC_negative
QC11.mzML
FILES
urine_HILIC_negative
QC12.mzML
FILES
urine_HILIC_negative
QC13.mzML
FILES
urine_HILIC_negative
QC14.mzML
FILES
urine_HILIC_negative
QC15.mzML
FILES
urine_HILIC_negative
QC16.mzML
FILES
urine_HILIC_negative
QC17.mzML
FILES
urine_HILIC_negative
QC18.mzML
FILES
urine_HILIC_negative
QC19.mzML
FILES
urine_HILIC_negative
QC2.mzML
FILES
urine_HILIC_negative
QC20.mzML
FILES
urine_HILIC_negative
QC21.mzML
FILES
urine_HILIC_negative
QC3.mzML
FILES
urine_HILIC_negative
QC4.mzML
FILES
urine_HILIC_negative
QC5.mzML
FILES
urine_HILIC_negative
QC6_MSMS_100_300.mzML
FILES
urine_HILIC_negative
QC7_MSMS_300_600.mzML
FILES
urine_HILIC_negative
QC8_MSMS_600_1500.mzML
FILES
urine_HILIC_negative
QC9.mzML
FILES
urine_HILIC_positive
ACN_0_A.mzML
FILES
urine_HILIC_positive
ACN_0_B.mzML
FILES
urine_HILIC_positive
ACN_0_BLANK.mzML
FILES
urine_HILIC_positive
ACN_0_BLANK_01.mzML
FILES
urine_HILIC_positive
ACN_0_C1.mzML
FILES
urine_HILIC_positive
ACN_0_C2.mzML
FILES
urine_HILIC_positive
ACN_0_C3.mzML
FILES
urine_HILIC_positive
ACN_20C_A.mzML
FILES
urine_HILIC_positive
ACN_20C_B.mzML
FILES
urine_HILIC_positive
ACN_20C_BLANK.mzML
FILES
urine_HILIC_positive
ACN_20C_C1.mzML
FILES
urine_HILIC_positive
ACN_20C_C2.mzML
FILES
urine_HILIC_positive
ACN_20C_C3.mzML
FILES
urine_HILIC_positive
ACN_4C_A.mzML
FILES
urine_HILIC_positive
ACN_4C_B.mzML
FILES
urine_HILIC_positive
ACN_4C_BLANK.mzML
FILES
urine_HILIC_positive
ACN_4C_C1.mzML
FILES
urine_HILIC_positive
ACN_4C_C2.mzML
FILES
urine_HILIC_positive
ACN_4C_C3.mzML
FILES
urine_HILIC_positive
ACN_H20_0_A.mzML
FILES
urine_HILIC_positive
ACN_H20_0_B.mzML
FILES
urine_HILIC_positive
ACN_H20_0_C1.mzML
FILES
urine_HILIC_positive
ACN_H20_0_C2.mzML
FILES
urine_HILIC_positive
ACN_H20_0_C3.mzML
FILES
urine_HILIC_positive
ACN_H20_20C_A.mzML
FILES
urine_HILIC_positive
ACN_H20_20C_B.mzML
FILES
urine_HILIC_positive
ACN_H20_20C_C1.mzML
FILES
urine_HILIC_positive
ACN_H20_20C_C2.mzML
FILES
urine_HILIC_positive
ACN_H20_20C_C3.mzML
FILES
urine_HILIC_positive
ACN_H20_4C_A.mzML
FILES
urine_HILIC_positive
ACN_H20_4C_B.mzML
FILES
urine_HILIC_positive
ACN_H20_4C_C1.mzML
FILES
urine_HILIC_positive
ACN_H20_4C_C2.mzML
FILES
urine_HILIC_positive
ACN_H20_4C_C3.mzML
FILES
urine_HILIC_positive
ACN_H2O_0_BLANK.mzML
FILES
urine_HILIC_positive
ACN_H2O_20C_BLANK.mzML
FILES
urine_HILIC_positive
ACN_H2O_4C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_0_A.mzML
FILES
urine_HILIC_positive
MEOH_0_B.mzML
FILES
urine_HILIC_positive
MEOH_0_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_0_C1.mzML
FILES
urine_HILIC_positive
MEOH_0_C2.mzML
FILES
urine_HILIC_positive
MEOH_0_C3.mzML
FILES
urine_HILIC_positive
MEOH_20C_A.mzML
FILES
urine_HILIC_positive
MEOH_20C_B.mzML
FILES
urine_HILIC_positive
MEOH_20C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_20C_C1.mzML
FILES
urine_HILIC_positive
MEOH_20C_C2.mzML
FILES
urine_HILIC_positive
MEOH_20C_C3.mzML
FILES
urine_HILIC_positive
MEOH_4C_A.mzML
FILES
urine_HILIC_positive
MEOH_4C_B.mzML
FILES
urine_HILIC_positive
MEOH_4C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_4C_C1.mzML
FILES
urine_HILIC_positive
MEOH_4C_C2.mzML
FILES
urine_HILIC_positive
MEOH_4C_C3.mzML
FILES
urine_HILIC_positive
MEOH_ACN_0_A.mzML
FILES
urine_HILIC_positive
MEOH_ACN_0_B.mzML
FILES
urine_HILIC_positive
MEOH_ACN_0_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_ACN_0_C1.mzML
FILES
urine_HILIC_positive
MEOH_ACN_0_C2.mzML
FILES
urine_HILIC_positive
MEOH_ACN_0_C3.mzML
FILES
urine_HILIC_positive
MEOH_ACN_20C_A.mzML
FILES
urine_HILIC_positive
MEOH_ACN_20C_B.mzML
FILES
urine_HILIC_positive
MEOH_ACN_20C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_ACN_20C_C1.mzML
FILES
urine_HILIC_positive
MEOH_ACN_20C_C2.mzML
FILES
urine_HILIC_positive
MEOH_ACN_20C_C3.mzML
FILES
urine_HILIC_positive
MEOH_ACN_4C_A.mzML
FILES
urine_HILIC_positive
MEOH_ACN_4C_B.mzML
FILES
urine_HILIC_positive
MEOH_ACN_4C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_ACN_4C_C1.mzML
FILES
urine_HILIC_positive
MEOH_ACN_4C_C2.mzML
FILES
urine_HILIC_positive
MEOH_ACN_4C_C3.mzML
FILES
urine_HILIC_positive
MEOH_H2O_0_A.mzML
FILES
urine_HILIC_positive
MEOH_H2O_0_B.mzML
FILES
urine_HILIC_positive
MEOH_H2O_0_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_H2O_0_C1.mzML
FILES
urine_HILIC_positive
MEOH_H2O_0_C2.mzML
FILES
urine_HILIC_positive
MEOH_H2O_0_C3.mzML
FILES
urine_HILIC_positive
MEOH_H2O_20C_A.mzML
FILES
urine_HILIC_positive
MEOH_H2O_20C_B.mzML
FILES
urine_HILIC_positive
MEOH_H2O_20C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_H2O_20C_C1.mzML
FILES
urine_HILIC_positive
MEOH_H2O_20C_C2.mzML
FILES
urine_HILIC_positive
MEOH_H2O_20C_C3.mzML
FILES
urine_HILIC_positive
MEOH_H2O_4C_A.mzML
FILES
urine_HILIC_positive
MEOH_H2O_4C_B.mzML
FILES
urine_HILIC_positive
MEOH_H2O_4C_BLANK.mzML
FILES
urine_HILIC_positive
MEOH_H2O_4C_C1.mzML
FILES
urine_HILIC_positive
MEOH_H2O_4C_C2.mzML
FILES
urine_HILIC_positive
MEOH_H2O_4C_C3.mzML
FILES
urine_HILIC_positive
QC1.mzML
FILES
urine_HILIC_positive
QC10.mzML
FILES
urine_HILIC_positive
QC11.mzML
FILES
urine_HILIC_positive
QC12.mzML
FILES
urine_HILIC_positive
QC13.mzML
FILES
urine_HILIC_positive
QC14.mzML
FILES
urine_HILIC_positive
QC15.mzML
FILES
urine_HILIC_positive
QC16.mzML
FILES
urine_HILIC_positive
QC17.mzML
FILES
urine_HILIC_positive
QC18.mzML
FILES
urine_HILIC_positive
QC19.mzML
FILES
urine_HILIC_positive
QC2.mzML
FILES
urine_HILIC_positive
QC20.mzML
FILES
urine_HILIC_positive
QC21.mzML
FILES
urine_HILIC_positive
QC3.mzML
FILES
urine_HILIC_positive
QC4.mzML
FILES
urine_HILIC_positive
QC5.mzML
FILES
urine_HILIC_positive
QC6_MSMS_100_300.mzML
FILES
urine_HILIC_positive
QC7_MSMS_300_600.mzML
FILES
urine_HILIC_positive
QC8_MSMS_600_1500.mzML
FILES
urine_HILIC_positive
QC9.mzML
FILES
urine_RP_aqueous_negative
ACN_0_A.mzML
FILES
urine_RP_aqueous_negative
ACN_0_B.mzML
FILES
urine_RP_aqueous_negative
ACN_0_BLANK.mzML
FILES
urine_RP_aqueous_negative
ACN_0_BLANK_01.mzML
FILES
urine_RP_aqueous_negative
ACN_0_C1.mzML
FILES
urine_RP_aqueous_negative
ACN_0_C2.mzML
FILES
urine_RP_aqueous_negative
ACN_0_C3.mzML
FILES
urine_RP_aqueous_negative
ACN_20C_A.mzML
FILES
urine_RP_aqueous_negative
ACN_20C_B.mzML
FILES
urine_RP_aqueous_negative
ACN_20C_BLANK.mzML
FILES
urine_RP_aqueous_negative
ACN_20C_C1.mzML
FILES
urine_RP_aqueous_negative
ACN_20C_C2.mzML
FILES
urine_RP_aqueous_negative
ACN_20C_C3.mzML
FILES
urine_RP_aqueous_negative
ACN_4C_A.mzML
FILES
urine_RP_aqueous_negative
ACN_4C_B.mzML
FILES
urine_RP_aqueous_negative
ACN_4C_BLANK.mzML
FILES
urine_RP_aqueous_negative
ACN_4C_C1.mzML
FILES
urine_RP_aqueous_negative
ACN_4C_C2.mzML
FILES
urine_RP_aqueous_negative
ACN_4C_C3.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_0_A.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_0_B.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_0_C1.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_0_C2.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_0_C3.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_20C_A.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_20C_B.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_20C_C1.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_20C_C2.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_20C_C3.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_4C_A.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_4C_B.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_4C_C1.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_4C_C2.mzML
FILES
urine_RP_aqueous_negative
ACN_H20_4C_C3.mzML
FILES
urine_RP_aqueous_negative
ACN_H2O_0_BLANK.mzML
FILES
urine_RP_aqueous_negative
ACN_H2O_20C_BLANK.mzML
FILES
urine_RP_aqueous_negative
ACN_H2O_4C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_0_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_0_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_0_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_0_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_0_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_0_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_20C_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_20C_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_20C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_20C_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_20C_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_20C_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_4C_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_4C_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_4C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_4C_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_4C_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_4C_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_0_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_0_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_0_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_0_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_0_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_0_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_20C_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_20C_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_20C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_20C_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_20C_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_20C_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_4C_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_4C_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_4C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_4C_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_4C_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_ACN_4C_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_0_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_0_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_0_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_0_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_0_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_0_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_20C_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_20C_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_20C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_20C_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_20C_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_20C_C3.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_4C_A.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_4C_B.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_4C_BLANK.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_4C_C1.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_4C_C2.mzML
FILES
urine_RP_aqueous_negative
MEOH_H2O_4C_C3.mzML
FILES
urine_RP_aqueous_negative
QC1.mzML
FILES
urine_RP_aqueous_negative
QC10.mzML
FILES
urine_RP_aqueous_negative
QC11.mzML
FILES
urine_RP_aqueous_negative
QC12.mzML
FILES
urine_RP_aqueous_negative
QC13.mzML
FILES
urine_RP_aqueous_negative
QC14.mzML
FILES
urine_RP_aqueous_negative
QC15.mzML
FILES
urine_RP_aqueous_negative
QC16.mzML
FILES
urine_RP_aqueous_negative
QC17.mzML
FILES
urine_RP_aqueous_negative
QC18.mzML
FILES
urine_RP_aqueous_negative
QC19.mzML
FILES
urine_RP_aqueous_negative
QC2.mzML
FILES
urine_RP_aqueous_negative
QC20.mzML
FILES
urine_RP_aqueous_negative
QC21.mzML
FILES
urine_RP_aqueous_negative
QC3.mzML
FILES
urine_RP_aqueous_negative
QC4.mzML
FILES
urine_RP_aqueous_negative
QC5.mzML
FILES
urine_RP_aqueous_negative
QC6_MSMS_100_300.mzML
FILES
urine_RP_aqueous_negative
QC7_MSMS_300_600.mzML
FILES
urine_RP_aqueous_negative
QC8_MSMS_600_1500.mzML
FILES
urine_RP_aqueous_negative
QC9.mzML
FILES
urine_RP_aqueous_positive
ACN_0_A.mzML
FILES
urine_RP_aqueous_positive
ACN_0_B.mzML
FILES
urine_RP_aqueous_positive
ACN_0_BLANK.mzML
FILES
urine_RP_aqueous_positive
ACN_0_BLANK_01.mzML
FILES
urine_RP_aqueous_positive
ACN_0_C1.mzML
FILES
urine_RP_aqueous_positive
ACN_0_C2.mzML
FILES
urine_RP_aqueous_positive
ACN_0_C3.mzML
FILES
urine_RP_aqueous_positive
ACN_20C_A.mzML
FILES
urine_RP_aqueous_positive
ACN_20C_B.mzML
FILES
urine_RP_aqueous_positive
ACN_20C_BLANK.mzML
FILES
urine_RP_aqueous_positive
ACN_20C_C1.mzML
FILES
urine_RP_aqueous_positive
ACN_20C_C2.mzML
FILES
urine_RP_aqueous_positive
ACN_20C_C3.mzML
FILES
urine_RP_aqueous_positive
ACN_4C_A.mzML
FILES
urine_RP_aqueous_positive
ACN_4C_B.mzML
FILES
urine_RP_aqueous_positive
ACN_4C_BLANK.mzML
FILES
urine_RP_aqueous_positive
ACN_4C_C1.mzML
FILES
urine_RP_aqueous_positive
ACN_4C_C2.mzML
FILES
urine_RP_aqueous_positive
ACN_4C_C3.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_0_A.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_0_B.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_0_C1.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_0_C2.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_0_C3.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_20C_A.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_20C_B.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_20C_C1.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_20C_C2.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_20C_C3.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_4C_A.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_4C_B.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_4C_C1.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_4C_C2.mzML
FILES
urine_RP_aqueous_positive
ACN_H20_4C_C3.mzML
FILES
urine_RP_aqueous_positive
ACN_H2O_0_BLANK.mzML
FILES
urine_RP_aqueous_positive
ACN_H2O_20C_BLANK.mzML
FILES
urine_RP_aqueous_positive
ACN_H2O_4C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_0_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_0_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_0_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_0_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_0_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_0_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_20C_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_20C_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_20C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_20C_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_20C_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_20C_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_4C_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_4C_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_4C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_4C_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_4C_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_4C_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_0_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_0_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_0_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_0_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_0_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_0_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_20C_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_20C_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_20C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_20C_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_20C_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_20C_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_4C_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_4C_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_4C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_4C_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_4C_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_ACN_4C_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_0_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_0_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_0_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_0_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_0_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_0_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_20C_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_20C_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_20C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_20C_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_20C_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_20C_C3.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_4C_A.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_4C_B.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_4C_BLANK.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_4C_C1.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_4C_C2.mzML
FILES
urine_RP_aqueous_positive
MEOH_H2O_4C_C3.mzML
FILES
urine_RP_aqueous_positive
QC1.mzML
FILES
urine_RP_aqueous_positive
QC10.mzML
FILES
urine_RP_aqueous_positive
QC11.mzML
FILES
urine_RP_aqueous_positive
QC12.mzML
FILES
urine_RP_aqueous_positive
QC13.mzML
FILES
urine_RP_aqueous_positive
QC14.mzML
FILES
urine_RP_aqueous_positive
QC15.mzML
FILES
urine_RP_aqueous_positive
QC16.mzML
FILES
urine_RP_aqueous_positive
QC17.mzML
FILES
urine_RP_aqueous_positive
QC18.mzML
FILES
urine_RP_aqueous_positive
QC19.mzML
FILES
urine_RP_aqueous_positive
QC2.mzML
FILES
urine_RP_aqueous_positive
QC20.mzML
FILES
urine_RP_aqueous_positive
QC21.mzML
FILES
urine_RP_aqueous_positive
QC3.mzML
FILES
urine_RP_aqueous_positive
QC4.mzML
FILES
urine_RP_aqueous_positive
QC5.mzML
FILES
urine_RP_aqueous_positive
QC6_MSMS_100_300.mzML
FILES
urine_RP_aqueous_positive
QC7_MSMS_300_600.mzML
FILES
urine_RP_aqueous_positive
QC8_MSMS_600_1500.mzML
FILES
urine_RP_aqueous_positive
QC9.mzML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Partition Time
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.17
IGNORED:  Samples_Term Source REF.17
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Assay_Data Transformation software
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IGNORED:  Samples_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.19
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Extraction Solvent 3 volume per unit volume
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Detector mode
IGNORED:  Samples_Term Source REF.16
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Extraction Solvent 1 volume per unit volume
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  9%|▉         | 156/1662 [17:57<6:34:59, 15.74s/it]
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
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IGNORED:  Samples_Extraction Solvent 2 volume per unit volume
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Samples_Term Source REF.7
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Term Source REF.3
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IGNORED:  Assay_Term Source REF.17
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IGNORED:  Assay_Term Source REF.12
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IGNORED:  Assay_Term Accession Number.14
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IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
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IGNORED:  Samples_Term Source REF.11
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IGNORED:  Samples_Term Source REF.14
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IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Samples_Term Accession Number.16
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Extraction Solvent 2
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Samples_Term Source REF.10
IGNORED:  Samples_Unit.6
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
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IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Samples_Extraction Solvent 3
IGNORED:  Assay_Unit.1
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Assay_Injection Order
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Organism part
IGNORED:  Samples_Extraction Solvent 3 volume percentage_1
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Accession Number.11
IGNORED:  Samples_Extraction Solvent 3 volume percentage
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 969 rows!
Added 969 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1474
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

  9%|▉         | 157/1662 [18:04<5:29:23, 13.13s/it]
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 84 rows!
Added 84 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1481
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ChromatographyAndPhase:
   (Phenyl-Hexyl): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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EZL8_NP_pos.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 356 rows!
Added 356 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1485
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 5975C MSD: missing value
  Waters SYNAPT HDMS System: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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BLK-acetone-1.D
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Mass
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Plant Part
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Plant part/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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 10%|▉         | 160/1662 [18:21<3:09:57,  7.59s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 12
Returning 76 rows!
Added 76 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1488
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1490
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
p1719_4100_pos_01.raw
FILES
p1719_4100_pos_02.raw
FILES
p1719_4100_pos_03.raw
FILES
p1719_4100_pos_04.raw
FILES
p1719_4100_pos_05.raw
FILES
p1719_4100_pos_06.raw
FILES
p1719_4100_pos_07.raw
FILES
p1719_4100_pos_08.raw
FILES
p1719_4100_pos_09.raw
FILES
p1719_4100_pos_10.raw
FILES
p1719_4100_pos_11.raw
FILES
p1719_4100_pos_12.raw
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_specimen preservation temperature
IGNORED:  Samples_Organism
IGNORED:  Samples_surgery: tendon release
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Samples_Carnitine
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_route of administration
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_specimen mass
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_tissue specimen
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1495
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1497
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS150
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS151
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1518
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS152
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1531
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QEx03_NM_000785.mzML
FILES
QEx03_NM_000786.mzML
FILES
QEx03_NM_000787.mzML
FILES
QEx03_NM_000788.mzML
FILES
QEx03_NM_000789.mzML
FILES
QEx03_NM_000790.mzML
FILES
QEx03_NM_000791.mzML
FILES
QEx03_NM_000792.mzML
FILES
QEx03_NM_000793.mzML
FILES
QEx03_NM_000794.mzML
FILES
QEx03_NM_000795.mzML
FILES
QEx03_NM_000796.mzML
FILES
QEx03_NM_000797.mzML
FILES
QEx03_NM_000798.mzML
FILES
QEx03_NM_000799.mzML
FILES
QEx03_NM_000800.mzML
FILES
QExHF03_NM_0002454.mzML
FILES
QExHF03_NM_0002455.mzML
FILES
QExHF03_NM_0002456.mzML
FILES
QExHF03_NM_0002457.mzML
FILES
QExHF03_NM_0002458.mzML
FILES
QExHF03_NM_0002459.mzML
FILES
QExHF03_NM_0002460.mzML
FILES
QExHF03_NM_0002461.mzML
FILES
QExHF03_NM_0002464.mzML
FILES
QExHF03_NM_0002466.mzML
FILES
QExHF03_NM_0002467.mzML
FILES
QExHF03_NM_0002470.mzML
FILES
QExHF03_NM_0002472.mzML
FILES
QExHF03_NM_0002475.mzML
FILES
QExHF03_NM_0002476.mzML
FILES
QExHF03_NM_0002477.mzML
FILES
QExHF03_NM_0002478.mzML
FILES
QExHF03_NM_0002479.mzML
FILES
QExHF03_NM_0002481.mzML
FILES
QExHF03_NM_0002483.mzML
FILES
QExHF03_NM_0002484.mzML
FILES
QExHF03_NM_0002486.mzML
FILES
QExHF03_NM_0002487.mzML
FILES
QExHF03_NM_0002488.mzML
FILES
QExHF03_NM_0002489.mzML
FILES
QExHF03_NM_0002492.mzML
FILES
QExHF03_NM_0002493_190719105800.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 10%|█         | 168/1662 [18:35<58:29,  2.35s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 10%|█         | 169/1662 [18:40<1:13:20,  2.95s/it]
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Environment
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 43 rows!
Added 43 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS154
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
mtab_tps6_filter_FT_241.RAW
FILES
mtab_tps6_filter_FT_242.RAW
FILES
mtab_tps6_filter_FT_243.RAW
FILES
mtab_tps6_filter_FT_244.RAW
FILES
mtab_tps6_filter_FT_245.RAW
FILES
mtab_tps6_filter_FT_246.RAW
FILES
mtab_tps6_filter_FT_248.RAW
FILES
mtab_tps6_filter_FT_249.RAW
FILES
mtab_tps6_filter_FT_250.RAW
FILES
mtab_tps6_filter_FT_251.RAW
FILES
mtab_tps6_filter_FT_252.RAW
FILES
mtab_tps6_filter_FT_253.RAW
FILES
mtab_tps6_filter_FT_259.RAW
FILES
mtab_tps6_filter_FT_260.RAW
FILES
mtab_tps6_filter_FT_261.RAW
FILES
mtab_tps6_filter_FT_262.RAW
FILES
mtab_tps6_filter_FT_263.RAW
FILES
mtab_tps6_filter_FT_264.RAW
FILES
mtab_tps6_filter_FT_266.RAW
FILES
mtab_tps6_filter_FT_267.RAW
FILES
mtab_tps6_filter_FT_268.RAW
FILES
mtab_tps6_filter_FT_269.RAW
FILES
mtab_tps6_filter_FT_270.RAW
FILES
mtab_tps6_filter_FT_271.RAW
FILES
mtab_tps6_filter_FT_280.raw
FILES
mtab_tps6_filter_FT_281.raw
FILES
mtab_tps6_filter_FT_282.raw
FILES
mtab_tps6_filter_FT_283.raw
FILES
mtab_tps6_filter_FT_284.raw
FILES
mtab_tps6_filter_FT_285.raw
FILES
mtab_tps6_filter_FT_287.raw
FILES
mtab_tps6_filter_FT_288.raw
FILES
mtab_tps6_filter_FT_289.raw
FILES
mtab_tps6_filter_FT_290.raw
FILES
mtab_tps6_filter_FT_291.raw
FILES
mtab_tps6_filter_FT_292.raw
FILES
mtab_tps6_filter_FT_298.raw
FILES
mtab_tps6_filter_FT_299.raw
FILES
mtab_tps6_filter_FT_300.raw
FILES
mtab_tps6_filter_FT_301.raw
FILES
mtab_tps6_filter_FT_302.raw
FILES
mtab_tps6_filter_FT_303.raw
FILES
mtab_tps6_filter_FT_305.raw
FILES
mtab_tps6_filter_FT_306.raw
FILES
mtab_tps6_filter_FT_307.raw
FILES
mtab_tps6_filter_FT_308.raw
FILES
mtab_tps6_filter_FT_309.raw
FILES
mtab_tps6_filter_FT_310.raw
FILES
mtab_tps6_filter_tsq_147.raw
FILES
mtab_tps6_filter_tsq_148.raw
FILES
mtab_tps6_filter_tsq_150.raw
FILES
mtab_tps6_filter_tsq_151.raw
FILES
mtab_tps6_filter_tsq_152.raw
FILES
mtab_tps6_filter_tsq_155.raw
FILES
mtab_tps6_filter_tsq_157.raw
FILES
mtab_tps6_filter_tsq_158.raw
FILES
mtab_tps6_filter_tsq_163.raw
FILES
mtab_tps6_filter_tsq_165.raw
FILES
mtab_tps6_filter_tsq_166.raw
FILES
mtab_tps6_filter_tsq_167.raw
FILES
mtab_tps6_filter_tsq_168.raw
FILES
mtab_tps6_filter_tsq_170.raw
FILES
mtab_tps6_filter_tsq_171.raw
FILES
mtab_tps6_filter_tsq_173.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_inorganic phosphate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_time
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_control
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 64 rows!
Added 64 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1540
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10Neg.mzML
FILES
10Pos.mzML
FILES
11Neg.mzML
FILES
11Pos.mzML
FILES
12Neg.mzML
FILES
12Pos.mzML
FILES
13Neg.mzML
FILES
13Pos.mzML
FILES
14Neg.mzML
FILES
14Pos.mzML
FILES
15Neg.mzML
FILES
15Pos.mzML
FILES
16Neg.mzML
FILES
16Pos.mzML
FILES
17Neg.mzML
FILES
17Pos.mzML
FILES
18Neg.mzML
FILES
18Pos.mzML
FILES
19Neg.mzML
FILES
19Pos.mzML
FILES
1Neg.mzML
FILES
1Pos.mzML
FILES
2Neg.mzML
FILES
2Pos.mzML
FILES
3Neg.mzML
FILES
3Pos.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
4Neg.mzML
FILES
4Pos.mzML
FILES
5Neg.mzML
FILES
5Pos.mzML
FILES
6Neg.mzML
FILES
6Pos.mzML
FILES
7Neg.mzML
FILES
7Pos.mzML
FILES
8Neg.mzML
FILES
8Pos.mzML
FILES
9Neg.mzML
FILES
9Pos.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Frail Scale
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1541
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1544
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS155
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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  Thermo Scientific LTQ FT Ultra: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 10%|█         | 173/1662 [18:51<1:17:16,  3.11s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 90 rows!
Added 90 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1550
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 43 rows!
Added 43 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1558
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
  Thermo Scientific LTQ Orbitrap XL ETD: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 175/1662 [19:03<1:50:07,  4.44s/it]
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 162 rows!
Added 162 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1561
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 7200 Q-TOF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Cultivar
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Is Fluid
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Biosource dry weight
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
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IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Ion source/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 176/1662 [19:10<2:08:38,  5.19s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 177/1662 [19:23<3:09:08,  7.64s/it]
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 3
Returning 113 rows!
Added 113 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1565
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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18065if_8.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Injection type
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 108 rows!
Added 108 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1569
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Blank_1.mzXML
FILES
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Control_3h_R4.mzXML
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FILES
QC_1.mzXML
FILES
QC_2.mzXML
FILES
QC_3.mzXML
FILES
QC_4.mzXML
FILES
Tx_1h_R1.mzXML
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Tx_3h_R1.mzXML
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Tx_3h_R2.mzXML
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Tx_3h_R3.mzXML
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Tx_3h_R4.mzXML
FILES
Tx_6h_R1.mzXML
FILES
Tx_6h_R2.mzXML
FILES
Tx_6h_R3.mzXML
FILES
Tx_6h_R4.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 178/1662 [19:27<2:42:10,  6.56s/it]
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Collection time point
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS157
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Mtab_rpom3_filter_ft_204.RAW
FILES
Mtab_rpom3_filter_ft_205.RAW
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Mtab_rpom3_filter_ft_206.RAW
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Mtab_rpom3_filter_ft_207.RAW
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Mtab_rpom3_filter_ft_266.RAW
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Mtab_rpom3_filter_ft_273.RAW
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Mtab_rpom3_filter_ft_275.RAW
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Mtab_rpom3_filter_ft_276.RAW
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Mtab_rpom3_filter_ft_277.RAW
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Mtab_rpom3_filter_ft_278.RAW
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Mtab_rpom3_filter_ft_280.RAW
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Mtab_rpom3_filter_ft_281.RAW
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Mtab_rpom3_filter_ft_282.RAW
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Mtab_rpom3_filter_ft_283.RAW
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Mtab_rpom3_filter_ft_284.RAW
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Mtab_rpom3_filter_ft_285.RAW
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Mtab_rpom3_filter_ft_291.RAW
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Mtab_rpom3_filter_ft_292.RAW
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Mtab_rpom3_filter_ft_293.RAW
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Mtab_rpom3_filter_ft_294.RAW
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Mtab_rpom3_filter_ft_295.RAW
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Mtab_rpom3_filter_ft_296.RAW
FILES
mtab_rpom3_filters_tsq_138.raw
FILES
mtab_rpom3_filters_tsq_139.raw
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mtab_rpom3_filters_tsq_140.raw
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mtab_rpom3_filters_tsq_141.raw
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mtab_rpom3_filters_tsq_142.raw
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mtab_rpom3_filters_tsq_143.raw
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mtab_rpom3_filters_tsq_148.raw
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mtab_rpom3_filters_tsq_151.raw
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mtab_rpom3_filters_tsq_152.raw
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mtab_rpom3_filters_tsq_153.raw
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mtab_rpom3_filters_tsq_159.raw
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mtab_rpom3_filters_tsq_160.raw
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mtab_rpom3_filters_tsq_161.raw
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mtab_rpom3_filters_tsq_162.raw
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mtab_rpom3_filters_tsq_163.raw
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mtab_rpom3_filters_tsq_164.raw
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mtab_rpom3_filters_tsq_171.raw
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mtab_rpom3_filters_tsq_172.raw
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mtab_rpom3_filters_tsq_173.raw
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mtab_rpom3_filters_tsq_174.raw
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mtab_rpom3_filters_tsq_175.raw
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mtab_rpom3_filters_tsq_176.raw
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mtab_rpom3_filters_tsq_181.raw
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mtab_rpom3_filters_tsq_182.raw
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mtab_rpom3_filters_tsq_183.raw
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mtab_rpom3_filters_tsq_184.raw
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mtab_rpom3_filters_tsq_185.raw
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mtab_rpom3_filters_tsq_186.raw
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mtab_rpom3_ft_115.RAW
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mtab_rpom3_ft_116.RAW
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mtab_rpom3_ft_117.RAW
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mtab_rpom3_ft_118.RAW
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mtab_rpom3_ft_119.RAW
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mtab_rpom3_ft_120.RAW
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mtab_rpom3_ft_124.RAW
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mtab_rpom3_ft_125.RAW
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mtab_rpom3_ft_126.RAW
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mtab_rpom3_ft_127.RAW
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mtab_rpom3_ft_131.RAW
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mtab_rpom3_ft_132.RAW
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mtab_rpom3_ft_133.RAW
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mtab_rpom3_ft_134.RAW
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mtab_rpom3_ft_135.RAW
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mtab_rpom3_ft_136.RAW
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mtab_rpom3_ft_140.RAW
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mtab_rpom3_ft_141.RAW
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mtab_rpom3_ft_142.RAW
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mtab_rpom3_ft_143.RAW
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mtab_rpom3_ft_147.RAW
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mtab_rpom3_ft_148.RAW
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mtab_rpom3_ft_149.RAW
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mtab_rpom3_ft_150.RAW
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mtab_rpom3_ft_151.RAW
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mtab_rpom3_ft_152.RAW
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mtab_rpom3_ft_153.RAW
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mtab_rpom3_ft_154.RAW
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mtab_rpom3_ft_155.RAW
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mtab_rpom3_ft_156.RAW
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mtab_rpom3_ft_160.RAW
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mtab_rpom3_ft_161.RAW
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mtab_rpom3_ft_162.RAW
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mtab_rpom3_ft_165.RAW
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mtab_rpom3_ft_166.RAW
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mtab_rpom3_ft_167.RAW
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mtab_rpom3_ft_168.RAW
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mtab_rpom3_ft_169.RAW
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mtab_rpom3_ft_173.RAW
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mtab_rpom3_ft_174.RAW
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mtab_rpom3_ft_175.RAW
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mtab_rpom3_ft_176.RAW
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mtab_rpom3_ft_177.RAW
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mtab_rpom3_ft_178.RAW
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mtab_rpom3_ft_179.RAW
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mtab_rpom3_ft_180.RAW
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mtab_rpom3_ft_181.RAW
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mtab_rpom3_ft_182.RAW
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mtab_rpom3_ft_186.RAW
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mtab_rpom3_ft_187.RAW
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mtab_rpom3_ft_188.RAW
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mtab_rpom3_ft_189.RAW
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mtab_rpom3_ft_190.RAW
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mtab_rpom3_ft_191.RAW
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mtab_rpom3_ft_192.RAW
FILES
mtab_rpom3_ft_193.RAW
FILES
mtab_rpom3_ft_194.RAW
FILES
mtab_rpom3_ft_195.RAW
FILES
mtab_rpom3_tsq_100.raw
FILES
mtab_rpom3_tsq_101.raw
FILES
mtab_rpom3_tsq_102.raw
FILES
mtab_rpom3_tsq_103.raw
FILES
mtab_rpom3_tsq_104.raw
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mtab_rpom3_tsq_105.raw
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mtab_rpom3_tsq_106.raw
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mtab_rpom3_tsq_107.raw
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mtab_rpom3_tsq_108.raw
FILES
mtab_rpom3_tsq_112.raw
FILES
mtab_rpom3_tsq_113.raw
FILES
mtab_rpom3_tsq_114.raw
FILES
mtab_rpom3_tsq_115.raw
FILES
mtab_rpom3_tsq_116.raw
FILES
mtab_rpom3_tsq_117.raw
FILES
mtab_rpom3_tsq_118.raw
FILES
mtab_rpom3_tsq_119.raw
FILES
mtab_rpom3_tsq_120.raw
FILES
mtab_rpom3_tsq_121.raw
FILES
mtab_rpom3_tsq_84.raw
FILES
mtab_rpom3_tsq_85.raw
FILES
mtab_rpom3_tsq_88.raw
FILES
mtab_rpom3_tsq_89.raw
FILES
mtab_rpom3_tsq_90.raw
FILES
mtab_rpom3_tsq_91.raw
FILES
mtab_rpom3_tsq_92.raw
FILES
mtab_rpom3_tsq_93.raw
FILES
mtab_rpom3_tsq_94.raw
FILES
mtab_rpom3_tsq_95.raw
FILES
mtab_rpom3_tsq_99.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_carbon source
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 11%|█         | 179/1662 [19:34<2:45:09,  6.68s/it]
 11%|█         | 180/1662 [19:35<2:02:55,  4.98s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 181/1662 [19:42<2:19:21,  5.65s/it]
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_time
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_control
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 180 rows!
Added 180 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1570
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1572
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Bruker impact II UHR-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HILIC(-)_Blank_DDA.mzXML
FILES
HILIC(-)_Blank_DIA.mzXML
FILES
HILIC(-)_Blank_FullScan2Hz.mzXML
FILES
HILIC(-)_StdMixHigh_DDA1.mzXML
FILES
HILIC(-)_StdMixHigh_DDA2.mzXML
FILES
HILIC(-)_StdMixHigh_DDA3.mzXML
FILES
HILIC(-)_StdMixHigh_DIA1.mzXML
FILES
HILIC(-)_StdMixHigh_DIA2.mzXML
FILES
HILIC(-)_StdMixHigh_DIA3.mzXML
FILES
HILIC(-)_StdMixHigh_Full2Hz_1.mzXML
FILES
HILIC(-)_StdMixHigh_Full2Hz_2.mzXML
FILES
HILIC(-)_StdMixHigh_Full2Hz_3.mzXML
FILES
HILIC(-)_StdMixLow_DDA1.mzXML
FILES
HILIC(-)_StdMixLow_DDA2.mzXML
FILES
HILIC(-)_StdMixLow_DDA3.mzXML
FILES
HILIC(-)_StdMixLow_DIA1.mzXML
FILES
HILIC(-)_StdMixLow_DIA2.mzXML
FILES
HILIC(-)_StdMixLow_DIA3.mzXML
FILES
HILIC(-)_StdMixLow_Full2Hz_1.mzXML
FILES
HILIC(-)_StdMixLow_Full2Hz_2.mzXML
FILES
HILIC(-)_StdMixLow_Full2Hz_3.mzXML
FILES
HILIC(-)_UrineHigh_DDA1.mzXML
FILES
HILIC(-)_UrineHigh_DDA2.mzXML
FILES
HILIC(-)_UrineHigh_DDA3.mzXML
FILES
HILIC(-)_UrineHigh_DIA1.mzXML
FILES
HILIC(-)_UrineHigh_DIA2.mzXML
FILES
HILIC(-)_UrineHigh_DIA3.mzXML
FILES
HILIC(-)_UrineHigh_Full2Hz_1.mzXML
FILES
HILIC(-)_UrineHigh_Full2Hz_2.mzXML
FILES
HILIC(-)_UrineHigh_Full2Hz_3.mzXML
FILES
HILIC(-)_UrineLow_DDA1.mzXML
FILES
HILIC(-)_UrineLow_DDA2.mzXML
FILES
HILIC(-)_UrineLow_DDA3.mzXML
FILES
HILIC(-)_UrineLow_DIA1.mzXML
FILES
HILIC(-)_UrineLow_DIA2.mzXML
FILES
HILIC(-)_UrineLow_DIA3.mzXML
FILES
HILIC(-)_UrineLow_Full2Hz_1.mzXML
FILES
HILIC(-)_UrineLow_Full2Hz_2.mzXML
FILES
HILIC(-)_UrineLow_Full2Hz_3.mzXML
FILES
RP(+)_Blank_DDA.mzXML
FILES
RP(+)_Blank_DIA.mzXML
FILES
RP(+)_Blank_FullScan2Hz.mzXML
FILES
RP(+)_StdMixHigh_DDA1.mzXML
FILES
RP(+)_StdMixHigh_DDA2.mzXML
FILES
RP(+)_StdMixHigh_DDA3.mzXML
FILES
RP(+)_StdMixHigh_DIA1.mzXML
FILES
RP(+)_StdMixHigh_DIA2.mzXML
FILES
RP(+)_StdMixHigh_DIA3.mzXML
FILES
RP(+)_StdMixHigh_Full2Hz_1.mzXML
FILES
RP(+)_StdMixHigh_Full2Hz_2.mzXML
FILES
RP(+)_StdMixHigh_Full2Hz_3.mzXML
FILES
RP(+)_StdMixLow_DDA1.mzXML
FILES
RP(+)_StdMixLow_DDA2.mzXML
FILES
RP(+)_StdMixLow_DDA3.mzXML
FILES
RP(+)_StdMixLow_DIA1.mzXML
FILES
RP(+)_StdMixLow_DIA2.mzXML
FILES
RP(+)_StdMixLow_DIA3.mzXML
FILES
RP(+)_StdMixLow_Full2Hz_1.mzXML
FILES
RP(+)_StdMixLow_Full2Hz_2.mzXML
FILES
RP(+)_StdMixLow_Full2Hz_3.mzXML
FILES
RP(+)_UrineHigh_DDA1.mzXML
FILES
RP(+)_UrineHigh_DDA2.mzXML
FILES
RP(+)_UrineHigh_DDA3.mzXML
FILES
RP(+)_UrineHigh_DIA1.mzXML
FILES
RP(+)_UrineHigh_DIA2.mzXML
FILES
RP(+)_UrineHigh_DIA3.mzXML
FILES
RP(+)_UrineHigh_Full2Hz_1.mzXML
FILES
RP(+)_UrineHigh_Full2Hz_2.mzXML
FILES
RP(+)_UrineHigh_Full2Hz_3.mzXML
FILES
RP(+)_UrineLow_DDA1.mzXML
FILES
RP(+)_UrineLow_DDA2.mzXML
FILES
RP(+)_UrineLow_DDA3.mzXML
FILES
RP(+)_UrineLow_DIA1.mzXML
FILES
RP(+)_UrineLow_DIA2.mzXML
FILES
RP(+)_UrineLow_DIA3.mzXML
FILES
RP(+)_UrineLow_Full2Hz_1.mzXML
FILES
RP(+)_UrineLow_Full2Hz_2.mzXML
FILES
RP(+)_UrineLow_Full2Hz_3.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
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Number of rows removed due to not enough metadata: 36
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1584
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
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MassSpectrometer:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 182/1662 [19:49<2:26:29,  5.94s/it]
 11%|█         | 183/1662 [19:50<1:48:25,  4.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 184/1662 [19:58<2:14:58,  5.48s/it]
 11%|█         | 185/1662 [19:58<1:40:31,  4.08s/it]
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 207 rows!
Added 207 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS16
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1606
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Treatment outcome
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Biospecimen
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 76 rows!
Added 76 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS161
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1610
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Source REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█         | 186/1662 [20:12<2:50:42,  6.94s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█▏        | 187/1662 [20:17<2:39:19,  6.48s/it]
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IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 530
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS162
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
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DepthorAltitudeMeters: ADDED!
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 64 rows!
Added 64 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1622
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1627
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1629
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS163
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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VLDL_Run2 (NAE&NASer).raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Metabolite Assignment File/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 11%|█▏        | 191/1662 [20:25<1:27:24,  3.57s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 192/1662 [20:30<1:31:22,  3.73s/it]
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Plasma fraction
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1636
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975 MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
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FILES
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180608_26.mzXML
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180608_27.mzXML
FILES
180608_28.mzXML
FILES
180608_29.mzXML
FILES
180608_30.mzXML
FILES
180608_31.mzXML
FILES
180608_32.mzXML
FILES
180608_QC01.mzXML
FILES
180608_QC02.mzXML
FILES
180608_QC04.mzXML
FILES
180608_QC05.mzXML
FILES
180608_QC06.mzXML
FILES
180608_QC07.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1642
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ChromatographyAndPhase:
   (C18): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CB_T_seminal_plasma_Neg_1.mzML
FILES
CB_T_seminal_plasma_Neg_2.mzML
FILES
CB_T_seminal_plasma_Neg_3.mzML
FILES
CB_T_seminal_plasma_Pos_1.mzML
FILES
CB_T_seminal_plasma_Pos_2.mzML
FILES
CB_T_seminal_plasma_Pos_3.mzML
FILES
CB_T_spermatozoa_Neg_1.mzML
FILES
CB_T_spermatozoa_Neg_2.mzML
FILES
CB_T_spermatozoa_Neg_3.mzML
FILES
CB_T_spermatozoa_Pos_1.mzML
FILES
CB_T_spermatozoa_Pos_2.mzML
FILES
CB_T_spermatozoa_Pos_3.mzML
FILES
CB_seminal_plasma_Neg_1.mzML
FILES
CB_seminal_plasma_Neg_2.mzML
FILES
CB_seminal_plasma_Neg_3.mzML
FILES
CB_seminal_plasma_Pos_1.mzML
FILES
CB_seminal_plasma_Pos_2.mzML
FILES
CB_seminal_plasma_Pos_3.mzML
FILES
CB_spermatozoa_Neg_1.mzML
FILES
CB_spermatozoa_Neg_2.mzML
FILES
CB_spermatozoa_Neg_3.mzML
FILES
CB_spermatozoa_Pos_1.mzML
FILES
CB_spermatozoa_Pos_2.mzML
FILES
CB_spermatozoa_Pos_3.mzML
FILES
MG_seminal_plasma_Neg_1.mzML
FILES
MG_seminal_plasma_Neg_2.mzML
FILES
MG_seminal_plasma_Neg_3.mzML
FILES
MG_seminal_plasma_Pos_1.mzML
FILES
MG_seminal_plasma_Pos_2.mzML
FILES
MG_seminal_plasma_Pos_3.mzML
FILES
MG_spermatozoa_Neg_1.mzML
FILES
MG_spermatozoa_Neg_2.mzML
FILES
MG_spermatozoa_Neg_3.mzML
FILES
MG_spermatozoa_Pos_1.mzML
FILES
MG_spermatozoa_Pos_2.mzML
FILES
MG_spermatozoa_Pos_3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 193/1662 [20:34<1:33:37,  3.82s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Breed
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Sample material
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS165
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
LiLi-11d.raw
FILES
LiLi-12d.raw
FILES
LiLi-13d.raw
FILES
LiLi-14d.raw
FILES
LiLi-15d.raw
FILES
LiLi-16d.raw
FILES
LiLi-18d.raw
FILES
LiLi-19d.raw
FILES
LiLi-1d.raw
FILES
LiLi-2d.raw
FILES
LiLi-3d.raw
FILES
LiLi-4d.raw
FILES
LiLi-5d.raw
FILES
LiLi-6d.raw
FILES
LiLi-7d.raw
FILES
LiLi-8d.raw
FILES
LiLi-9d.raw
FILES
XYT-10d.raw
FILES
XYT-11d.raw
FILES
XYT-12d.raw
FILES
XYT-13d.raw
FILES
XYT-16d.raw
FILES
XYT-20d.raw
FILES
XYT-2d.raw
FILES
XYT-30d.raw
FILES
XYT-31d.raw
FILES
XYT-34d.raw
FILES
XYT-35d.raw
FILES
XYT-36d.raw
FILES
XYT-37d.raw
FILES
XYT-38d.raw
FILES
XYT-47d.raw
FILES
XYT-48d.raw
FILES
XYT-56d.raw
FILES
YnYn-10d.raw
FILES
YnYn-11d.raw
FILES
YnYn-14d.raw
FILES
YnYn-15d.raw
FILES
YnYn-16d.raw
FILES
YnYn-19d-1.raw
FILES
YnYn-19d-2.raw
FILES
YnYn-19d-3.raw
FILES
YnYn-1d.raw
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YnYn-22d.raw
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YnYn-37d.raw
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YnYn-3d.raw
FILES
YnYn-46d.raw
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YnYn-4d.raw
FILES
YnYn-7d.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Mother age
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Panda mother
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 57 rows!
Added 57 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1684
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS169
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1692
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
aa_lc_hrms
hilic_qc
2017_12_05_AAs_025_QC.raw
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RAW_FILES
aa_lc_hrms
hilic_qc
2017_12_05_AAs_035_QC.raw
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RAW_FILES
aa_lc_hrms
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2017_12_05_AAs_030_18.raw
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RAW_FILES
aa_lc_hrms
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2017_12_05_AAs_007_MQ.raw
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RAW_FILES
aa_lc_hrms
stds
2017_12_05_AAs_008_0-5uM.raw
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RAW_FILES
aa_lc_hrms
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2017_12_05_AAs_009_1uM.raw
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2017_12_05_AAs_010_2-5uM.raw
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aa_lc_hrms
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2017_12_05_AAs_011_5uM.raw
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aa_lc_hrms
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2017_12_05_AAs_012_7-5uM.raw
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aa_lc_hrms
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2017_12_05_AAs_013_10uM.raw
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RAW_FILES
aa_lc_hrms
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2017_12_05_AAs_014_15uM.raw
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RAW_FILES
aa_lc_hrms
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2017_12_06_AAs_011_0-5uM_Cysteine+Valine.raw
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RAW_FILES
aa_lc_hrms
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2017_12_06_AAs_012_1uM_Cysteine+Valine.raw
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RAW_FILES
aa_lc_hrms
stds
2017_12_06_AAs_013_2-5uM_Cysteine+Valine.raw
FILES
RAW_FILES
aa_lc_hrms
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2017_12_06_AAs_014_5uM_Cysteine+Valine.raw
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aa_lc_hrms
stds
2017_12_06_AAs_015_7-5uM_Cysteine+Valine.raw
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aa_lc_hrms
stds
2017_12_06_AAs_016_10uM_Cysteine+Valine.raw
FILES
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aa_lc_hrms
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2017_12_06_AAs_017_15uM_Cysteine+Valine.raw
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2017_12_05_AAs_027_15.raw
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aa_lc_hrms
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aa_lc_hrms
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aa_lc_hrms
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2017_12_05_AAs_023_13.raw
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aa_lc_hrms
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2017_12_05_AAs_026_14.raw
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t3_22_hr
2017_12_05_AAs_021_11.raw
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RAW_FILES
aa_lc_hrms
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FILES
RAW_FILES
metab_lc_hrms
rp_qc
2017-12-01_093_QC.raw
FILES
RAW_FILES
metab_lc_hrms
rp_qc
2017-12-01_103_QC.raw
FILES
RAW_FILES
metab_lc_hrms
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FILES
RAW_FILES
metab_lc_hrms
stds
2017-12-01_074_MQ.raw
FILES
RAW_FILES
metab_lc_hrms/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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stds
2017-12-01_075_0-2uM.raw
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stds
2017-12-01_076_0-5uM.raw
FILES
RAW_FILES
metab_lc_hrms
stds
2017-12-01_077_1uM.raw
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2017-12-01_078_2-5uM.raw
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2017-12-01_079_5uM.raw
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2017-12-01_080_7-5uM.raw
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2017-12-01_081_10uM.raw
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stds
2017-12-01_082_15uM.raw
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t1_17_hr
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Metabolite Assignment File
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Number of rows removed due to not enough metadata: 30
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1693
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1698
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS17
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Q-Tof Premier: missing value
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Exp2_CRR_41a_POS.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 12%|█▏        | 200/1662 [21:06<2:12:26,  5.44s/it]
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 524 rows!
Added 524 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1708
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G1 HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 201/1662 [21:10<2:03:25,  5.07s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 202/1662 [21:14<2:00:00,  4.93s/it]
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 55 rows!
Added 55 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1714
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis UHR-ToF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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2-33_GC6_01_27182.d.mzXML
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2-34_GC7_01_27185.d.mzXML
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2-35_GC8_01_27172.d.mzXML
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3-32_RC7_01_27126.d.mzXML
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3-33_RC8_01_27225.d.mzXML
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3-37_RD4_01_27148.d.mzXML
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3-38_RD5_01_27154.d.mzXML
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30_BC3_01_27105.d.mzXML
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31_BC4_01_27130.d.mzXML
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32_BC5_01_27146.d.mzXML
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33_BC6_01_27208.d.mzXML
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34_BC7_01_27216.d.mzXML
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35_BC8_01_27178.d.mzXML
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36_BD1_01_27170.d.mzXML
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FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 81 rows!
Added 81 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1715
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
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FILES
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Blank_2.mzXML
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FeLim_T1_B1.mzXML
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FeLim_T1_B2.mzXML
FILES
FeLim_T1_B3.mzXML
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FeLim_T2_B1.mzXML
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FeLim_T2_B3.mzXML
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FeLim_T3_B1.mzXML
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FeLim_T3_B3.mzXML
FILES
FeLim_T3_B4.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 203/1662 [21:18<1:51:52,  4.60s/it]
FILES
Stnd-1000nMb.mzXML
FILES
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Stnd-250nMb.mzXML
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Stnd-500nMb.mzXML
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Stnd-7500nMb.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
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Number of rows removed due to not enough metadata: 0
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1717
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
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IGNORED:  Assay_Column type
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IGNORED:  Assay_Label/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 204/1662 [21:25<2:07:28,  5.25s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 12%|█▏        | 205/1662 [21:31<2:12:11,  5.44s/it]
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Derivatization
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Number of rows removed due to not enough metadata: 0
Returning 132 rows!
Added 132 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS173
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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FILES
DataSET10.wiff
FILES
DataSET100.wiff
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IGNORED:  Is Fluid
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 131 rows!
Added 131 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1737
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 5975T MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
1108201703.cdf
FILES
1108201704.cdf
FILES
1108201705.cdf
FILES
1108201706.cdf
FILES
1108201707.cdf
FILES
1108201708.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 94 rows!
Added 94 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1739
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1746
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20190613_MS1_A19r-18.RAW
FILES
20190614_MS1_A19r-20.RAW
FILES
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FILES
20190828_MS1_A19r-22.RAW
FILES
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FILES
MS1_20180405_PO_1200.RAW
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IGNORED:  Samples_Organism
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Term Source REF.15
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IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
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IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Scan type
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Target material/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
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IGNORED:  Assay_Term Source REF.6
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IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 7 rows!
Added 7 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1748
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1750
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Term Source REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 13%|█▎        | 210/1662 [21:48<1:30:47,  3.75s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 13%|█▎        | 211/1662 [21:56<2:03:59,  5.13s/it]
IGNORED:  Samples_Term Source REF.3
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Number of rows removed due to not enough metadata: 0
Returning 126 rows!
Added 126 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1751
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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Country: ADDED!
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Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1752
Request successful!
SampleCollectionMethod: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Sample group
IGNORED:  Samples_Cast
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Depth
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Longitude
IGNORED:  Samples_Station
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
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IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
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IGNORED:  base
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IGNORED:  Assay_Derivatization
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Cruise
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
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IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 428 rows!
Added 214 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1755
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6224 Accurate-Mass TOF: missing value
  Agilent 6520 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 127 rows!
Added 127 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1757
Request successful!
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1778
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1782
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 13%|█▎        | 216/1662 [22:22<1:55:14,  4.78s/it]
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 11
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1783
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis II UHR-ToF: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Autosampler model
IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 13%|█▎        | 217/1662 [22:27<1:59:09,  4.95s/it]
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Dilution
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 101 rows!
Added 101 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1791
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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X035570_S00260_rep2_neg.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 13%|█▎        | 218/1662 [22:42<3:08:03,  7.81s/it]
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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Number of rows removed due to not enough metadata: 264
Returning 256 rows!
Added 256 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1792
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Drug concentration/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 13%|█▎        | 219/1662 [22:48<2:55:52,  7.31s/it]
 13%|█▎        | 220/1662 [22:49<2:08:42,  5.36s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 13%|█▎        | 221/1662 [22:55<2:15:38,  5.65s/it]
 13%|█▎        | 222/1662 [22:56<1:42:22,  4.27s/it]
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Technical repeat
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Samples_Drug
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 80
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1794
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1796
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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Number of rows removed due to not enough metadata: 0
Returning 132 rows!
Added 132 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1797
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1801
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific DSQ II: missing value
  Thermo LTQ-Orbitrap XL MS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Column type
IGNORED:  Samples_Unit/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 13%|█▎        | 223/1662 [23:13<3:16:37,  8.20s/it]
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Nitrogen concentration (applied)
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Growth Location
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Oat variety
Number of rows removed due to not enough metadata: 0
Returning 813 rows!
Added 813 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1807
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
  Thermo Scientific LTQ FT Ultra: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1812
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1823
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
  AB SCIEX QTRAP 5500+: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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A value is trying to be set on a copy of a slice from a DataFrame.
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See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_second fermentation organism
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Number of rows removed due to not enough metadata: 34
Returning 956 rows!
Added 956 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1824
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1825
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1829
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 14%|█▍        | 229/1662 [23:58<2:43:04,  6.83s/it]
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IGNORED:  Samples_Term Source REF.7
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IGNORED:  Assay_MS Assay Name
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IGNORED:  keep
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IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Technical replicate - Sampling
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Samples_Technical replicate - MS assay
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
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Number of rows removed due to not enough metadata: 0
Returning 304 rows!
Added 304 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS183
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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48_5_AminoAcids.CDF
FILES
48_5_Lactate.CDF
FILES
49_01_Glutamate.CDF
FILES
49_02_Glutamate.CDF
FILES
49_06_Glutamate.CDF
FILES
49_07_Glutamate.CDF
FILES
49_08_Glutamate.CDF
FILES
49_1_AminoAcids.CDF
FILES
49_1_Ribose.CDF
FILES
49_2_AminoAcids.CDF
FILES
49_2_Lactate.CDF
FILES
49_2_Ribose.CDF
FILES
49_3_AminoAcids.CDF
FILES
49_3_Lactate.CDF
FILES
49_4_AminoAcids.CDF
FILES
49_4_Lactate.CDF
FILES
49_5_AminoAcids.CDF
FILES
50_1_TCA.CDF
FILES
50_2_TCA.CDF
FILES
50_3_TCA.CDF
FILES
51_1_TCA.CDF
FILES
52_1_TCA.CDF
FILES
52_2_TCA.CDF
FILES
52_3_TCA.CDF
FILES
52_4_TCA.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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FILES
57_1_AminoAcids.CDF
FILES
57_2_AminoAcids.CDF
FILES
57_2_Glutamate.CDF
FILES
57_2_Lactate.CDF
FILES
57_3_AminoAcids.CDF
FILES
57_3_Glutamate.CDF
FILES
57_3_Lactate.CDF
FILES
57_4_Glutamate.CDF
FILES
57_4_Lactate.CDF
FILES
57_5_Glutamate.CDF
FILES
57_7_Ribose.CDF
FILES
57_8_Ribose.CDF
FILES
58_1_AminoAcids.CDF
FILES
58_1_Glutamate.CDF
FILES
58_1_Lactate.CDF
FILES
58_2_AminoAcids.CDF
FILES
58_2_Glutamate.CDF
FILES
58_2_Lactate.CDF
FILES
58_3_Ribose.CDF
FILES
58_4_Ribose.CDF
FILES
58_5_Ribose.CDF
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59_1_AminoAcids.CDF
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59_1_Glutamate.CDF
FILES
59_1_Lactate.CDF
FILES
59_1_Ribose.CDF
FILES
59_2_AminoAcids.CDF
FILES
59_2_Glutamate.CDF
FILES
59_2_Lactate.CDF
FILES
59_2_Ribose.CDF
FILES
59_3_Ribose.CDF
FILES
5_1_AminoAcids.CDF
FILES
5_2_AminoAcids.CDF
FILES
5_3_Glutamate.CDF
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5_3_Lactate.CDF
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5_4_Glutamate.CDF
FILES
5_4_Lactate.CDF
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5_5_Glutamate.CDF
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FILES
60_1_TCA.CDF
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60_2_TCA.CDF
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62_1_TCA.CDF
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63_1_AminoAcids.CDF
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63_2_AminoAcids.CDF
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63_2_Glutamate.CDF
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63_2_Lactate.CDF
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63_2_Ribose.CDF
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63_3_Glutamate.CDF
FILES
63_3_Lactate.CDF
FILES
63_3_Ribose.CDF
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63_4_Glutamate.CDF
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63_4_Lactate.CDF
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63_5_Glutamate.CDF
FILES
63_5_Ribose.CDF
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63_6_Ribose.CDF
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64_1_AminoAcids.CDF
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64_1_Glutamate.CDF
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64_1_Lactate.CDF
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64_1_Ribose.CDF
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64_2_AminoAcids.CDF
FILES
64_2_Glutamate.CDF
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64_2_Lactate.CDF
FILES
64_2_Ribose.CDF
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64_3_Ribose.CDF
FILES
65_1_AminoAcids.CDF
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65_1_Glutamate.CDF
FILES
65_1_Lactate.CDF
FILES
65_1_Ribose.CDF
FILES
65_2_AminoAcids.CDF
FILES
65_2_Glutamate.CDF
FILES
65_2_Lactate.CDF
FILES
65_2_Ribose.CDF
FILES
65_3_Ribose.CDF
FILES
66_1_TCA.CDF
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66_2_TCA.CDF
FILES
67_1_TCA.CDF
FILES
67_2_TCA.CDF
FILES
68_1_TCA.CDF
FILES
68_2_TCA.CDF
FILES
6_1_AminoAcids.CDF
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6_1_Glutamate.CDF
FILES
6_1_Lactate.CDF
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6_1_Ribose.CDF
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6_2_AminoAcids.CDF
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6_2_Glutamate.CDF
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6_2_Lactate.CDF
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6_2_Ribose.CDF
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6_3_Ribose.CDF
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73_01_Glutamate.CDF
FILES
73_06_Glutamate.CDF
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73_07_Glutamate.CDF
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73_1_AminoAcids.CDF
FILES
73_2_AminoAcids.CDF
FILES
73_3_AminoAcids.CDF
FILES
73_4_AminoAcids.CDF
FILES
73_4_Ribose.CDF
FILES
73_5_AminoAcids.CDF
FILES
73_5_Ribose.CDF
FILES
73_6_AminoAcids.CDF
FILES
73_7_AminoAcids.CDF
FILES
74_01_Glutamate.CDF
FILES
74_06_Glutamate.CDF
FILES
74_07_Glutamate.CDF
FILES
74_1_AminoAcids.CDF
FILES
74_2_AminoAcids.CDF
FILES
74_3_AminoAcids.CDF
FILES
74_4_AminoAcids.CDF
FILES
74_4_Lactate.CDF
FILES
74_5_AminoAcids.CDF
FILES
74_5_Lactate.CDF
FILES
75_01_Glutamate.CDF
FILES
75_06_Glutamate.CDF
FILES
75_07_Glutamate.CDF
FILES
75_10_Ribose.CDF
FILES
75_12_Ribose.CDF
FILES
75_1_AminoAcids.CDF
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75_1_Lactate.CDF
FILES
75_2_AminoAcids.CDF
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75_2_Lactate.CDF
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75_3_AminoAcids.CDF
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75_3_Lactate.CDF
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76_1_TCA.CDF
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76_2_TCA.CDF
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76_4_TCA.CDF
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77_1_TCA.CDF
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77_2_TCA.CDF
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77_3_TCA.CDF
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77_4_TCA.CDF
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79_01_Glutamate.CDF
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79_06_Glutamate.CDF
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79_07_Glutamate.CDF
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79_1_AminoAcids.CDF
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79_2_AminoAcids.CDF
FILES
79_2_Lactate.CDF
FILES
79_2_Ribose.CDF
FILES
79_3_AminoAcids.CDF
FILES
79_3_Lactate.CDF
FILES
79_3_Ribose.CDF
FILES
79_4_Lactate.CDF
FILES
79_4_Ribose.CDF
FILES
79_5_Lactate.CDF
FILES
7_1_AminoAcids.CDF
FILES
7_1_Glutamate.CDF
FILES
7_1_Lactate.CDF
FILES
7_1_Ribose.CDF
FILES
7_2_AminoAcids.CDF
FILES
7_2_Glutamate.CDF
FILES
7_2_Lactate.CDF
FILES
7_2_Ribose.CDF
FILES
7_3_Lactate.CDF
FILES
7_3_Ribose.CDF
FILES
7_4_Lactate.CDF
FILES
80_01_Glutamate.CDF
FILES
80_06_Glutamate.CDF
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80_07_Glutamate.CDF
FILES
80_11_Ribose.CDF
FILES
80_1_AminoAcids.CDF
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80_1_Ribose.CDF
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80_2_AminoAcids.CDF
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80_2_Lactate.CDF
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80_2_Ribose.CDF
FILES
80_3_AminoAcids.CDF
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80_3_Lactate.CDF
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80_4_Lactate.CDF
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80_9_Ribose.CDF
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81_01_Glutamate.CDF
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81_06_Glutamate.CDF
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81_07_Glutamate.CDF
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81_1_AminoAcids.CDF
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81_1_Ribose.CDF
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81_2_AminoAcids.CDF
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81_2_Lactate.CDF
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81_2_Ribose.CDF
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81_3_AminoAcids.CDF
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81_3_Lactate.CDF
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81_4_Lactate.CDF
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82_1_TCA.CDF
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82_2_TCA.CDF
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82_3_TCA.CDF
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82_4_TCA.CDF
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83_1_TCA.CDF
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83_2_TCA.CDF
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83_3_TCA.CDF
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83_4_TCA.CDF
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89_1_AminoAcids.CDF
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8_1_TCA.CDF
FILES
8_2_TCA.CDF
FILES
8_3_TCA.CDF
FILES
90_1_Ribose.CDF
FILES
9_1_TCA.CDF
FILES
9_2_TCA.CDF
FILES
Cold_01_Glutamate.CDF
IGNORED:  Samples_Tracer
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 417 rows!
Added 417 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1830
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-TQ8040: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
290-261-0h-R1.CDF
FILES
290-261-0h-R2.CDF
FILES
290-261-0h-R3.CDF
FILES
290-261-24h-R1.CDF
FILES
290-261-24h-R2.CDF
FILES
290-261-24h-R3.CDF
FILES
290-261-48h-R1.CDF
FILES
290-261-48h-R2.CDF
FILES
290-261-48h-R3.CDF
FILES
290-261-72h-R1.CDF
FILES
290-261-72h-R2.CDF
FILES
290-261-72h-R3.CDF
FILES
Milk-R1.CDF
FILES
Milk-R2.CDF
FILES
Milk-R3.CDF
FILES
Whey-72h-72h-R1.CDF
FILES
Whey-72h-72h-R2.CDF
FILES
Whey-72h-72h-R3.CDF
FILES
Whey-72h-R1.CDF
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Whey-72h-R2.CDF
FILES
Whey-72h-R3.CDF
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Secondary fermentation conditions
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_ferment taxonomic information
IGNORED:  Samples_Bacterial strain Internal stock ID
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
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IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 21 rows!
Added 21 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1839
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1847
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ 8000: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
101_NM-control.cdf
FILES
DERIVED_FILES
102_NM-control.cdf
FILES
DERIVED_FILES
103_NM-control.cdf
FILES
DERIVED_FILES
110_NM-Pb.cdf
FILES
DERIVED_FILES
111_NM-Pb.cdf
FILES
DERIVED_FILES
112_NM-Pb.cdf
FILES
DERIVED_FILES
116_R33Pb.cdf
FILES
DERIVED_FILES
117_R33Pb.cdf
FILES
DERIVED_FILES
118_R33Pb.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Sample type_1
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 9 rows!
Added 9 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS185
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
BL_V1_S019.raw
FILES
BL_V1_S020.raw
FILES
BL_V1_S022.raw
FILES
BL_V1_S023.raw
FILES
BL_V1_S024.raw
FILES
BL_V1_S026.raw
FILES
BL_V5_S158.raw
FILES
BL_V5_S159.raw
FILES
BL_V5_S160.raw
FILES
BL_V5_S161.raw
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BL_V5_S162.raw
FILES
BL_V5_S163.raw
FILES
IM1_V1_S042.raw
FILES
IM1_V1_S043.raw
FILES
IM1_V1_S044.raw
FILES
IM1_V1_S045.raw
FILES
IM1_V1_S046.raw
FILES
IM1_V5_S181.raw
FILES
IM1_V5_S182.raw
FILES
IM1_V5_S183.raw
FILES
IM1_V5_S184.raw
FILES
IM1_V5_S185.raw
FILES
IM2_V1_S072.raw
FILES
IM2_V1_S073.raw
FILES
IM2_V9_S272.raw
FILES
IM2_V9_S277.raw
FILES
PO1_V1_031.raw
FILES
PO1_V1_S030.raw
FILES
PO1_V1_S032.raw
FILES
PO1_V1_S033.raw
FILES
PO1_V1_S034.raw
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PO1_V1_S035.raw
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PO1_V5_S170.raw
FILES
PO1_V5_S171.raw
FILES
PO1_V5_S172.raw
FILES
PO1_V5_S173.raw
FILES
PO1_V5_S174.raw
FILES
PO2_V1_S059.raw
FILES
PO2_V1_S060.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
PO2_V5_S198.raw
FILES
PO2_V5_S199.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 41 rows!
Added 41 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1858
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1861
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
FILES
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Amino_acid_Std_neg_Tryptophan-442.mzML
FILES
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FILES
BLK_MEOH_IPA-381.mzML
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DHA-384.mzML
FILES
DHA-388.mzML
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IROA_PLATE_ce_neg_1_C.mzML
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IROA_PLATE_ce_neg_1_E.mzML
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IROA_PLATE_ce_neg_1_F.mzML
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IROA_PLATE_neg_2_B.mzML
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IROA_PLATE_neg_2_D.mzML
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IROA_PLATE_neg_2_E.mzML
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IROA_PLATE_neg_2_F.mzML
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IROA_PLATE_neg_2_G.mzML
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IROA_PLATE_neg_2_H.mzML
FILES
IROA_PLATE_neg_3_A.mzML
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IROA_PLATE_neg_3_B.mzML
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IROA_PLATE_neg_3_C.mzML
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IROA_PLATE_neg_3_D.mzML
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IROA_PLATE_neg_3_E.mzML
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IROA_PLATE_neg_3_F.mzML
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IROA_PLATE_neg_3_G.mzML
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IROA_PLATE_neg_3_H.mzML
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IROA_PLATE_neg_4_A.mzML
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IROA_PLATE_neg_6_G.mzML
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IROA_PLATE_pos_1_B.mzML
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IROA_PLATE_pos_1_D.mzML
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IROA_PLATE_pos_1_E.mzML
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IROA_PLATE_pos_1_F.mzML
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IROA_PLATE_pos_1_G.mzML
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IROA_PLATE_pos_1_H.mzML
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IROA_PLATE_pos_2_A.mzML
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IROA_PLATE_pos_2_B.mzML
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IROA_PLATE_pos_2_C.mzML
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IROA_PLATE_pos_2_D.mzML
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IROA_PLATE_pos_2_E.mzML
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IROA_PLATE_pos_2_F.mzML
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IROA_PLATE_pos_2_G.mzML
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IROA_PLATE_pos_2_H.mzML
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IROA_PLATE_pos_3_A.mzML
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IROA_PLATE_pos_3_B.mzML
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IROA_PLATE_pos_3_C.mzML
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IROA_PLATE_pos_3_D.mzML
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IROA_PLATE_pos_3_E.mzML
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IROA_PLATE_pos_3_F.mzML
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IROA_PLATE_pos_3_G.mzML
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IROA_PLATE_pos_3_H.mzML
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IROA_PLATE_pos_4_A.mzML
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IROA_PLATE_pos_4_B.mzML
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IROA_retest_neg_Mix_13.mzML
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IROA_retest_neg_Mix_22.mzML
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IROA_retest_neg_Mix_23.mzML
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IROA_retest_neg_Mix_26.mzML
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IROA_retest_neg_Mix_27.mzML
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IROA_retest_neg_Mix_28.mzML
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IROA_retest_neg_Mix_29.mzML
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IROA_retest_neg_Mix_3.mzML
FILES
IROA_retest_neg_Mix_30.mzML
FILES
IROA_retest_neg_Mix_31.mzML
FILES
IROA_retest_neg_Mix_32.mzML
FILES
IROA_retest_neg_Mix_33.mzML
FILES
IROA_retest_neg_Mix_34.mzML
FILES
IROA_retest_neg_Mix_35.mzML
FILES
IROA_retest_neg_Mix_36.mzML
FILES
IROA_retest_neg_Mix_37.mzML
FILES
IROA_retest_neg_Mix_38.mzML
FILES
IROA_retest_neg_Mix_39.mzML
FILES
IROA_retest_neg_Mix_4.mzML
FILES
IROA_retest_neg_Mix_40.mzML
FILES
IROA_retest_neg_Mix_41.mzML
FILES
IROA_retest_neg_Mix_42.mzML
FILES
IROA_retest_neg_Mix_43.mzML
FILES
IROA_retest_neg_Mix_44.mzML
FILES
IROA_retest_neg_Mix_45.mzML
FILES
IROA_retest_neg_Mix_46.mzML
FILES
IROA_retest_neg_Mix_47.mzML
FILES
IROA_retest_neg_Mix_48.mzML
FILES
IROA_retest_neg_Mix_49.mzML
FILES
IROA_retest_neg_Mix_5.mzML
FILES
IROA_retest_neg_Mix_50.mzML
FILES
IROA_retest_neg_Mix_51.mzML
FILES
IROA_retest_neg_Mix_52-391.mzML
FILES
IROA_retest_neg_Mix_52-393.mzML
FILES
IROA_retest_neg_Mix_52.mzML
FILES
IROA_retest_neg_Mix_53.mzML
FILES
IROA_retest_neg_Mix_54.mzML
FILES
IROA_retest_neg_Mix_55.mzML
FILES
IROA_retest_neg_Mix_56.mzML
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IROA_retest_neg_Mix_57.mzML
FILES
IROA_retest_neg_Mix_58.mzML
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IROA_retest_neg_Mix_59.mzML
FILES
IROA_retest_neg_Mix_6.mzML
FILES
IROA_retest_neg_Mix_60.mzML
FILES
IROA_retest_neg_Mix_61.mzML
FILES
IROA_retest_neg_Mix_62.mzML
FILES
IROA_retest_neg_Mix_63.mzML
FILES
IROA_retest_neg_Mix_64.mzML
FILES
IROA_retest_neg_Mix_65.mzML
FILES
IROA_retest_neg_Mix_66.mzML
FILES
IROA_retest_neg_Mix_67.mzML
FILES
IROA_retest_neg_Mix_68.mzML
FILES
IROA_retest_neg_Mix_69.mzML
FILES
IROA_retest_neg_Mix_70.mzML
FILES
IROA_retest_neg_Mix_71.mzML
FILES
IROA_retest_neg_Mix_72.mzML
FILES
IROA_retest_neg_Mix_73.mzML
FILES
IROA_retest_neg_Mix_74.mzML
FILES
IROA_retest_neg_Mix_75.mzML
FILES
IROA_retest_neg_Mix_76.mzML
FILES
IROA_retest_neg_Mix_77.mzML
FILES
IROA_retest_neg_Mix_78.mzML
FILES
IROA_retest_neg_Mix_79.mzML
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IROA_retest_neg_Mix_8.mzML
FILES
IROA_retest_neg_Mix_80.mzML
FILES
IROA_retest_neg_Mix_81.mzML
FILES
IROA_retest_neg_Mix_82.mzML
FILES
IROA_retest_neg_Mix_83.mzML
FILES
IROA_retest_neg_Mix_84.mzML
FILES
IROA_retest_neg_Mix_85.mzML
FILES
IROA_retest_neg_Mix_86.mzML
FILES
IROA_retest_neg_Mix_87.mzML
FILES
IROA_retest_neg_Mix_88.mzML
FILES
IROA_retest_neg_Mix_89.mzML
FILES
IROA_retest_neg_Mix_9.mzML
FILES
IROA_retest_neg_Mix_90.mzML
FILES
IROA_retest_neg_Mix_91.mzML
FILES
IROA_retest_neg_Mix_92.mzML
FILES
IROA_retest_neg_Mix_93.mzML
FILES
IROA_retest_neg_Mix_94.mzML
FILES
IROA_retest_neg_Mix_95.mzML
FILES
IROA_retest_neg_Mix_96.mzML
FILES
IROA_retest_neg_Mix_97.mzML
FILES
IROA_retest_pos_Mix23.mzML
FILES
IROA_retest_pos_Mix24.mzML
FILES
IROA_retest_pos_Mix25.mzML
FILES
IROA_retest_pos_Mix26.mzML
FILES
IROA_retest_pos_Mix27.mzML
FILES
IROA_retest_pos_Mix28.mzML
FILES
IROA_retest_pos_Mix29.mzML
FILES
IROA_retest_pos_Mix30.mzML
FILES
IROA_retest_pos_Mix31.mzML
FILES
IROA_retest_pos_Mix32.mzML
FILES
IROA_retest_pos_Mix33.mzML
FILES
IROA_retest_pos_Mix34.mzML
FILES
IROA_retest_pos_Mix35.mzML
FILES
IROA_retest_pos_Mix36.mzML
FILES
IROA_retest_pos_Mix37.mzML
FILES
IROA_retest_pos_Mix38.mzML
FILES
IROA_retest_pos_Mix39.mzML
FILES
IROA_retest_pos_Mix40.mzML
FILES
IROA_retest_pos_Mix41.mzML
FILES
IROA_retest_pos_Mix42.mzML
FILES
IROA_retest_pos_Mix43.mzML
FILES
IROA_retest_pos_Mix45.mzML
FILES
IROA_retest_pos_Mix46.mzML
FILES
IROA_retest_pos_Mix47.mzML
FILES
IROA_retest_pos_Mix48.mzML
FILES
IROA_retest_pos_Mix49.mzML
FILES
IROA_retest_pos_Mix50.mzML
FILES
IROA_retest_pos_Mix51.mzML
FILES
IROA_retest_pos_Mix52.mzML
FILES
IROA_retest_pos_Mix53.mzML
FILES
IROA_retest_pos_Mix54.mzML
FILES
IROA_retest_pos_Mix55.mzML
FILES
IROA_retest_pos_Mix56.mzML
FILES
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Organism/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 14%|█▍        | 236/1662 [26:37<7:24:31, 18.70s/it]
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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Number of rows removed due to not enough metadata: 382
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1866
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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104_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
106_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
108_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
109_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
111_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
125_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
126_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
127_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
129_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
12POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
12_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
130_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
132_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
134_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
136_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
138_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
139_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
13POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
14POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
14_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
15POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
16POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
18_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
1_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
20_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
24_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
26_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
27_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
2POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
31_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
34_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
36_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
38_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
39_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
3POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
40_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
41_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
42_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
43_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
44_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
45_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
46_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
47_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
48_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
4POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
4_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
56_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
61_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
62_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
63_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
64_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
66_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
67_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
68_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
69_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
6POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
70_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
71_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
72_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
74_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
78_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
79_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
80_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
82_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
83_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
84_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
89_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
8POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
93DLMC_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
94_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
95_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
97_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
98_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
99_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
9POS_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
9_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
AA_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
CE_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
CM_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
IRA_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
RI_p.mzML
FILES
Lipidomic_COVID-19_ESI Positive
SG_p.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
10SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
11SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
12SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
13SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
1SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
2SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
3SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
4SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
5SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
6SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
7SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
8SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
9SA_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
AI_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
A_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
B_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
C_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
D_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
EA_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
EB_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
EM_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
MC_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
MM_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
NC_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
SC_sani_n.mzML
FILES
Lipidomic_HEALTHY_ESI Negative
ST_sano_n.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
10SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
11SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
12SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
13SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
1SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
2SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
3SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
4SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
5SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
6SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
7SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
8SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
9SA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
AI_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
A_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
B_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
C_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
D_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
EA_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
EB_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
EM_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
MC_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
MM_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
NC_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
SC_p.mzML
FILES
Lipidomic_HEALTHY_ESI Positive
ST_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA10_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA11_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA12_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA14_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA17_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA18_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA1_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA21_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA2_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA3_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA4_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 14%|█▍        | 237/1662 [26:48<6:26:56, 16.29s/it]
DA5_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA6_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA7_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA8_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
DA9_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
RIA1_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Negative
RIA2_n.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA10_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA11_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA12_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA14_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA17_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA18_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA1_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA21_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA2_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA3_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA4_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA5_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA6_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA7_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA8_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
DA9_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
RIA1_p.mzML
FILES
Lipidomic_ICU COVID-19_ESI Positive
RIA2_p.mzML
FILES
Lipidomic_ICU_ESI Negative
DA20_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA23_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA24_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA25_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA26_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA28_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA39_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA40_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA41_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA42_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA43_n.mzML
FILES
Lipidomic_ICU_ESI Negative
DA44_n.mzML
FILES
Lipidomic_ICU_ESI Positive
DA20_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA23_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA24_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA25_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA26_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA28_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA39_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA40_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA41_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA42_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA43_p.mzML
FILES
Lipidomic_ICU_ESI Positive
DA44_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
12NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
16NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
19NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
20NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
21NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
22NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
26NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
28NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
29NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
30NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
32NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
35NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
37NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
46NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
5NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Negative
6NEG_n.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
12NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
16NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
19NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
20NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
21NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
22NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
26NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
28NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
29NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
30NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
32NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
35NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
37NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
46NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
5NEG_p.mzML
FILES
Lipidomic_NON-COVID-19_ESI Positive
6NEG_p.mzML
FILES
NON-COVID-19
12 NEG.mzML
FILES
NON-COVID-19
16 NEG.mzML
FILES
NON-COVID-19
19 NEG.mzML
FILES
NON-COVID-19
20 NEG.mzML
FILES
NON-COVID-19
21 NEG.mzML
FILES
NON-COVID-19
22 NEG.mzML
FILES
NON-COVID-19
26 NEG.mzML
FILES
NON-COVID-19
28 NEG.mzML
FILES
NON-COVID-19
29 NEG.mzML
FILES
NON-COVID-19
30 NEG.mzML
FILES
NON-COVID-19
32 NEG.mzML
FILES
NON-COVID-19
35 NEG.mzML
FILES
NON-COVID-19
37 NEG.mzML
FILES
NON-COVID-19
46 NEG.mzML
FILES
NON-COVID-19
5 NEG.mzML
FILES
NON-COVID-19
6 NEG.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_Column model 2
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Medical case
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Patient status
IGNORED:  Assay_Column model 1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column type 2
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Assay_Column type 1
Number of rows removed due to not enough metadata: 0
Returning 467 rows!
Added 467 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS187
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
Acetate_Propionate_Mat Sample_01_A_1.CDF
FILES
Acetate_Propionate_Mat Sample_01_A_2.CDF
FILES
Acetate_Propionate_Mat Sample_01_B_1.CDF
FILES
Acetate_Propionate_Mat Sample_01_B_2.CDF
FILES
Acetate_Propionate_Mat Sample_01_C_1.CDF
FILES
Acetate_Propionate_Mat Sample_01_C_2.CDF
FILES
Acetate_Propionate_Mat Sample_02_A_1.CDF
FILES
Acetate_Propionate_Mat Sample_02_A_2.CDF
FILES
Acetate_Propionate_Mat Sample_02_B_1.CDF
FILES
Acetate_Propionate_Mat Sample_02_B_2.CDF
FILES
Acetate_Propionate_Mat Sample_02_C_1.CDF
FILES
Acetate_Propionate_Mat Sample_02_C_2.CDF
FILES
Acetate_Propionate_Mat Sample_03_A_1.CDF
FILES
Acetate_Propionate_Mat Sample_03_A_2.CDF
FILES
Acetate_Propionate_Mat Sample_03_B_1.CDF
FILES
Acetate_Propionate_Mat Sample_03_B_2.CDF
FILES
Acetate_Propionate_Mat Sample_03_C_1.CDF
FILES
Acetate_Propionate_Mat Sample_03_C_2.CDF
FILES
Acetate_Propionate_Mat Sample_04_A_1.CDF
FILES
Acetate_Propionate_Mat Sample_04_A_2.CDF
FILES
Acetate_Propionate_Mat Sample_04_B_1.CDF
FILES
Acetate_Propionate_Mat Sample_04_B_2.CDF
FILES
Acetate_Propionate_Mat Sample_04_C_1.CDF
FILES
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Polar_Metabolites_Mat_Sample_14_B_1.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Time collected
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Technical Replicate Number
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 342
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1873
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Agilent 7000C Triple Quadrupole: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
9-tricosene HESI-Orbitrap direct infusion.mzML
FILES
ASTM gas oil GC-MS.mzML
FILES
Control male fly GC-MS.mzML
FILES
Control male fly LC-MS pos polarity replicate 1.mzML
FILES
Control male fly LC-MS pos polarity replicate 2.mzML
FILES
Control male fly LC-MS pos polarity replicate 3.mzML
FILES
Control male fly LC-MS2 neg polarity replicate 1.mzML
FILES
Control male fly LC-MS2 neg polarity replicate 2.mzML
FILES
Control male fly LC-MS2 neg polarity replicate 3.mzML
FILES
Control male fly LC-MS2 pos polarity replicate 1.mzML
FILES
Control male fly LC-MS2 pos polarity replicate 2.mzML
FILES
Control male fly LC-MS2 pos polarity replicate 3.mzML
FILES
Golden gage plum GC-MS replicate 1.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 14%|█▍        | 239/1662 [27:06<4:55:53, 12.48s/it]
FILES
Golden gage plum GC-MS replicate 2.mzML
FILES
Golden gage plum GC-MS replicate 3.mzML
FILES
Gooseberry GC-MS replicate 1.mzML
FILES
Gooseberry GC-MS replicate 2.mzML
FILES
Gooseberry GC-MS replicate 3.mzML
FILES
Gooseberry leaf GC-MS replicate 1.mzML
FILES
Gooseberry leaf GC-MS replicate 2.mzML
FILES
Gooseberry leaf GC-MS replicate 3.mzML
FILES
Hydrocarbon Standards GC-MS.mzML
FILES
Pine needle GC-MS replicate 1.mzML
FILES
Pine needle GC-MS replicate 2.mzML
FILES
Pine needle GC-MS replicate 3.mzML
FILES
Tomato leaf GC-MS replicate 1.mzML
FILES
Tomato leaf GC-MS replicate 2.mzML
FILES
Tomato leaf GC-MS replicate 3.mzML
FILES
Tricosene GC-MS:MS.mzML
FILES
Victoria plum GC-MS replicate 1.mzML
FILES
Victoria plum GC-MS replicate 2.mzML
FILES
Victoria plum GC-MS replicate 3.mzML
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Is Organ
IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Argon cluster size
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  filepath
IGNORED:  Assay_Scan type
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Target material
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Cultivar
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Column model
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Analysis temperature
Number of rows removed due to not enough metadata: 3
Returning 29 rows!
Added 29 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1875
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
BLK.raw
FILES
PBC001.raw
FILES
PBC002.raw
FILES
PBC003.raw
FILES
PBC004.raw
FILES
PBC005.raw
FILES
PBC006.raw
FILES
PBC007.raw
FILES
PBC008.raw
FILES
PBC009.raw
FILES
PBC010.raw
FILES
PBC011.raw
FILES
PBC012.raw
FILES
PBC013.raw
FILES
PBC014.raw
FILES
PBC015.raw
FILES
PBC016.raw
FILES
PBC017.raw
FILES
PBC018.raw
FILES
PBC019.raw
FILES
PBC020.raw
FILES
PBC021.raw
FILES
PBC022.raw
FILES
PBC023.raw
FILES
PBC024.raw
FILES
PBC025.raw
FILES
PBC026.raw
FILES
PBC027.raw
FILES
PBC028.raw
FILES
PBC029.raw
FILES
PBC030.raw
FILES
PBL001_3.raw
FILES
PBL002.raw
FILES
PBL003.raw
FILES
PBL004.raw
FILES
PBL005.raw
FILES
PBL006.raw
FILES
PBL007.raw
FILES
PBL008.raw
FILES
PBL009.raw
FILES
PBL010.raw
FILES
PBL011.raw
FILES
PBL012.raw
FILES
PBL013.raw
FILES
PBL014.raw
FILES
PBL015.raw
FILES
PBL016.raw
FILES
PBL017.raw
FILES
PBL018.raw
FILES
PBL019.raw
FILES
PBL020.raw
FILES
PBL021.raw
FILES
PBL022.raw
FILES
PBL023.raw
FILES
PBL024.raw
FILES
PBL025.raw
FILES
PBL026.raw
FILES
PBL027.raw
FILES
PBL028.raw
FILES
PBL029.raw
FILES
PBL030.raw
FILES
PBL031.raw
FILES
PBL032.raw
FILES
PBL033.raw
FILES
PBL034.raw
FILES
PBL035.raw
FILES
PBL036.raw
FILES
PBL037.raw
FILES
PBL038.raw
FILES
PBL039.raw
FILES
PBL040.raw
FILES
X01.raw
FILES
X02.raw
FILES
X03.raw
FILES
X04.raw
FILES
X05.raw
FILES
X06.raw
FILES
X07.raw
FILES
X08.raw
FILES
X09.raw
FILES
X10.raw
FILES
X11.raw
FILES
X12.raw
FILES
X13.raw
FILES
X14.raw
FILES
X15.raw
FILES
X16.raw
FILES
X17.raw
FILES
X18.raw
FILES
X19.raw
FILES
X20.raw
FILES
X21.raw
FILES
X22.raw
FILES
X23.raw
FILES
X24.raw
FILES
X25.raw
FILES
X26.raw
FILES
X27.raw
FILES
X28.raw
FILES
X29.raw
FILES
X30.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 14%|█▍        | 240/1662 [27:12<4:12:37, 10.66s/it]
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Isotopic labelling
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 100 rows!
Added 100 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1876
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
mzML-FIA
Blank_ISTD_LILY_fiaDIA_posneg_1.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_ISTD_LILY_fiaDIA_posneg_2.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_ISTD_LILY_fiaDIA_posneg_3.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_1_switch.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_2.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_3_switch.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_4.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_5_switch.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_6.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_7_switch.mzML
FILES
DERIVED_FILES
mzML-FIA
Blank_Solvent_no_fiaDIA_posneg_8.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_10000_LILY_fiaDIA_posneg_1.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_1000_LILY_fiaDIA_posneg_1.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_100_LILY_fiaDIA_posneg_1.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_100_LILY_fiaDIA_posneg_2.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_100_LILY_fiaDIA_posneg_3.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_100_LILY_fiaDIA_posneg_4.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_100_LILY_fiaDIA_posneg_5.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_100_LILY_fiaDIA_posneg_6.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_10_LILY_fiaDIA_posneg_1.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_10_LILY_fiaDIA_posneg_2.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_10_LILY_fiaDIA_posneg_3.mzML
FILES
DERIVED_FILES
mzML-FIA
ESTD_10_LILY_fiaDIA_posneg_4.mzML
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plasma_SRM_LILY_rpMS1_posneg_7_Splash.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
DERIVED_FILES
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Number of rows removed due to not enough metadata: 96
Returning 134 rows!
Added 134 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1885
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
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66.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Litter type
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Geographical location
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 675 rows!
Added 135 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1887
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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 15%|█▍        | 244/1662 [27:37<2:31:25,  6.41s/it]
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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Number of rows removed due to not enough metadata: 0
Returning 216 rows!
Added 216 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1890
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1892
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus IV: missing value
  : missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
  : missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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d15--della_DAF2P_131120(PDA-Ch1).CDF
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d16--della_DAF2P_131120(PDA-Ch1).CDF
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d34--della_DAF4E_131120(PDA-Ch1).CDF
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d35--della_DAF4E_131122(PDA-Ch1).CDF
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d36--della_DAF4E_131122(PDA-Ch1).CDF
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Sample Name
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 15%|█▍        | 245/1662 [27:45<2:39:33,  6.76s/it]
 15%|█▍        | 246/1662 [27:46<1:58:40,  5.03s/it]IGNORED:  Samples_Flowering day
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Assay_Resolution
Number of rows removed due to not enough metadata: 1
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1894
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1903
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
  Bruker impact II UHR-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
IGNORED:  Assay_sampleType
IGNORED:  Samples_Sample type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.5
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IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Samples_IMPC_ID
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_IMPC_phenotype
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_IMPC_genotype
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_class
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 375 rows!
Added 375 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1906
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
FILES
RAW_FILES
NEG
1-MePYR_Neg.wiff
FILES
RAW_FILES
NEG
17b-estradiol-3-sulfate_Neg.wiff
FILES
RAW_FILES
NEG
2,4-DHBA_Neg.wiff
FILES
RAW_FILES
NEG
2,6-DHBA_Neg.wiff
FILES
RAW_FILES
NEG
2,6-diaminopimelic_Neg.wiff
FILES
RAW_FILES
NEG
2-HBA-G_Neg.wiff
FILES
RAW_FILES
NEG
2-HBA_Neg.wiff
FILES
RAW_FILES
NEG
2-HHA_Neg.wiff
FILES
RAW_FILES
NEG
2-HPAA_Neg.wiff
FILES
RAW_FILES
NEG
2-HPA_Neg.wiff
FILES
RAW_FILES
NEG
2-HPPA_Neg.wiff
FILES
RAW_FILES
NEG
2-MePYR_Neg.wiff
FILES
RAW_FILES
NEG
2-aminoadipic_Neg.wiff
FILES
RAW_FILES
NEG
2-hydroxyglutaric_Neg.wiff
FILES
RAW_FILES
NEG
2-isopropylmalic_Neg.wiff
FILES
RAW_FILES
NEG
2-methylglutaric_Neg.wiff
FILES
RAW_FILES
NEG
2-oxoadipic_Neg.wiff
FILES
RAW_FILES
NEG
2-oxobutyric_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHBA-3G_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHBA-3S_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHBA-4G_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHBA-4S_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHBA_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHPAA_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHPHVA_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHPV-3G_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHPV-4G_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHPV-4S_Neg.wiff
FILES
RAW_FILES
NEG
3,4-DHPV_Neg.wiff
FILES
RAW_FILES
NEG
3,4-dihydroxymandelic_Neg.wiff
FILES
RAW_FILES
NEG
3,4-dihydroxyphenylglycol_Neg.wiff
FILES
RAW_FILES
NEG
3,4-dihydroxyphenyllactic_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHBA-S_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHBA_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHCA_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHPPA-G_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHPPA-S_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHPPA_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHPV-G_Neg.wiff
FILES
RAW_FILES
NEG
3,5-DHPV-S_Neg.wiff
FILES
RAW_FILES
NEG
3-CQA_Neg.wiff
FILES
RAW_FILES
NEG
3-HBA_Neg.wiff
FILES
RAW_FILES
NEG
3-HBAld_Neg.wiff
FILES
RAW_FILES
NEG
3-HHANeg.wiff
FILES
RAW_FILES
NEG
3-HPAA_Neg.wiff
FILES
RAW_FILES
NEG
3-HPHPA_Neg.wiff
FILES
RAW_FILES
NEG
3-HPPA_Neg.wiff
FILES
RAW_FILES
NEG
3-HPV-G_Neg.wiff
FILES
RAW_FILES
NEG
3-HPV-S_Neg.wiff
FILES
RAW_FILES
NEG
3-MeGA_Neg.wiff
FILES
RAW_FILES
NEG
3-hydroxybutyric_Neg.wiff
FILES
RAW_FILES
NEG
3-hydroxymethylglutaric_Neg.wiff
FILES
RAW_FILES
NEG
3-methyl-2-oxovaleric_Neg.wiff
FILES
RAW_FILES
NEG
3_-MeEC_Neg.wiff
FILES
RAW_FILES
NEG
4-CQA_Neg.wiff
FILES
RAW_FILES
NEG
4-HBA-G_Neg.wiff
FILES
RAW_FILES
NEG
4-HBA-S_Neg.wiff
FILES
RAW_FILES
NEG
4-HBA_Neg.wiff
FILES
RAW_FILES
NEG
4-HBAld_Neg.wiff
FILES
RAW_FILES
NEG
4-HBP_Neg.wiff
FILES
RAW_FILES
NEG
4-HDCF_Neg.wiff
FILES
RAW_FILES
NEG
4-HHA_Neg.wiff
FILES
RAW_FILES
NEG
4-HPAA_Neg.wiff
FILES
RAW_FILES
NEG
4-HPPA_Neg.wiff
FILES
RAW_FILES
NEG
4-HPV-S_Neg.wiff
FILES
RAW_FILES
NEG
4-MeCAT_Neg.wiff
FILES
RAW_FILES
NEG
4-MeGA_Neg.wiff
FILES
RAW_FILES
NEG
4-MeUMB-G_Neg.wiff
FILES
RAW_FILES
NEG
4-MeUMB-S_Neg.wiff
FILES
RAW_FILES
NEG
4-hydroxyphenyllactic_Neg.wiff
FILES
RAW_FILES
NEG
4-hydroxyphenylpyruvic_Neg.wiff
FILES
RAW_FILES
NEG
4-methyl-2-oxovaleric_Neg.wiff
FILES
RAW_FILES
NEG
4_-MeEC_Neg.wiff
FILES
RAW_FILES
NEG
5-CQA_Neg.wiff
FILES
RAW_FILES
NEG
5-aminolevulinic_Neg.wiff
FILES
RAW_FILES
NEG
5-hydroxyhexanoic_Neg.wiff
FILES
RAW_FILES
NEG
AMPA_Neg.wiff
FILES
RAW_FILES
NEG
APAP-G_Neg.wiff
FILES
RAW_FILES
NEG
APAP_Neg.wiff
FILES
RAW_FILES
NEG
API-7G_Neg.wiff
FILES
RAW_FILES
NEG
API_Neg.wiff
FILES
RAW_FILES
NEG
BA_Neg.wiff
FILES
RAW_FILES
NEG
BERG_Neg.wiff
FILES
RAW_FILES
NEG
BP1_Neg.wiff
FILES
RAW_FILES
NEG
BP3_Neg.wiff
FILES
RAW_FILES
NEG
BPA_Neg.wiff
FILES
RAW_FILES
NEG
BPF_Neg.wiff
FILES
RAW_FILES
NEG
BPS_Neg.wiff
FILES
RAW_FILES
NEG
BioA-7G_Neg.wiff
FILES
RAW_FILES
NEG
BioA_Neg.wiff
FILES
RAW_FILES
NEG
BuP_Neg.wiff
FILES
RAW_FILES
NEG
CA-3G_Neg.wiff
FILES
RAW_FILES
NEG
CA-4G_Neg.wiff
FILES
RAW_FILES
NEG
CAT_Neg.wiff
FILES
RAW_FILES
NEG
CA_Neg.wiff
FILES
RAW_FILES
NEG
CDCA-3G_Neg.wiff
FILES
RAW_FILES
NEG
CDCA_Neg.wiff
FILES
RAW_FILES
NEG
CIBP_Neg.wiff
FILES
RAW_FILES
NEG
CUR-G_Neg.wiff
FILES
RAW_FILES
NEG
CUR-S_Neg.wiff
FILES
RAW_FILES
NEG
C_Neg.wiff
FILES
RAW_FILES
NEG
DAI-4G-7S_Neg.wiff
FILES
RAW_FILES
NEG
DAI-4G_Neg.wiff
FILES
RAW_FILES
NEG
DAI-4S_Neg.wiff
FILES
RAW_FILES
NEG
DAI-7G-4S_Neg.wiff
FILES
RAW_FILES
NEG
DAI-7G_Neg.wiff
FILES
RAW_FILES
NEG
DAI-diG_Neg.wiff
FILES
RAW_FILES
NEG
DAI_InitProduct_Neg.wiff
FILES
RAW_FILES
NEG
DCA_Neg.wiff
FILES
RAW_FILES
NEG
DCF_Neg.wiff
FILES
RAW_FILES
NEG
DEDTP_Neg.wiff
FILES
RAW_FILES
NEG
DEP_Neg.wiff
FILES
RAW_FILES
NEG
DETP_Neg.wiff
FILES
RAW_FILES
NEG
DHBAld_Neg.wiff
FILES
RAW_FILES
NEG
DHCA-3G_Neg.wiff
FILES
RAW_FILES
NEG
DHCA-3S_Neg.wiff
FILES
RAW_FILES
NEG
DHCA_Neg.wiff
FILES
RAW_FILES
NEG
DHEAS_Neg.wiff
FILES
RAW_FILES
NEG
DHFA-G_Neg.wiff
FILES
RAW_FILES
NEG
DHFA-S_Neg.wiff
FILES
RAW_FILES
NEG
DHFA_Neg.wiff
FILES
RAW_FILES
NEG
DHRSV_Neg.wiff
FILES
RAW_FILES
NEG
DHiFA-G_Neg.wiff
FILES
RAW_FILES
NEG
DHiFA-S_Neg.wiff
FILES
RAW_FILES
NEG
DHiFA_Neg.wiff
FILES
RAW_FILES
NEG
DMDTP_Neg.wiff
FILES
RAW_FILES
NEG
DMP_Neg.wiff
FILES
RAW_FILES
NEG
ECG_Neg.wiff
FILES
RAW_FILES
NEG
EC_Neg.wiff
FILES
RAW_FILES
NEG
ED_Neg.wiff
FILES
RAW_FILES
NEG
EGCG_Neg.wiff
FILES
RAW_FILES
NEG
EGC_Neg.wiff
FILES
RAW_FILES
NEG
EL-G_Neg.wiff
FILES
RAW_FILES
NEG
EL-S_Neg.wiff
FILES
RAW_FILES
NEG
EL_Neg.wiff
FILES
RAW_FILES
NEG
EQ-4S_Neg.wiff
FILES
RAW_FILES
NEG
EQ-7G_Neg.wiff
FILES
RAW_FILES
NEG
EQ_Neg.wiff
FILES
RAW_FILES
NEG
Et-G_Neg.wiff
FILES
RAW_FILES
NEG
Et-S_Neg.wiff
FILES
RAW_FILES
NEG
EtGA_Neg.wiff
FILES
RAW_FILES
NEG
EtP_Neg.wiff
FILES
RAW_FILES
NEG
FA-G_Neg.wiff
FILES
RAW_FILES
NEG
FA-S_Neg.wiff
FILES
RAW_FILES
NEG
FA_Neg.wiff
FILES
RAW_FILES
NEG
FOR-7G_Neg.wiff
FILES
RAW_FILES
NEG
FOR_Neg.wiff
FILES
RAW_FILES
NEG
GA-3G_Neg.wiff
FILES
RAW_FILES
NEG
GA-4G_Neg.wiff
FILES
RAW_FILES
NEG
GA_Neg.wiff
FILES
RAW_FILES
NEG
GCA_Neg.wiff
FILES
RAW_FILES
NEG
GCDCA-3G_Neg.wiff
FILES
RAW_FILES
NEG
GCDCA-3S_Neg.wiff
FILES
RAW_FILES
NEG
GCDCA_Neg.wiff
FILES
RAW_FILES
NEG
GDCA-3G_Neg.wiff
FILES
RAW_FILES
NEG
GDCA-3S_Neg.wiff
FILES
RAW_FILES
NEG
GDCA_Neg.wiff
FILES
RAW_FILES
NEG
GEN-4G-7S_Neg.wiff
FILES
RAW_FILES
NEG
GEN-4G_Neg.wiff
FILES
RAW_FILES
NEG
GEN-7G-4S_Neg.wiff
FILES
RAW_FILES
NEG
GEN-7G_Neg.wiff
FILES
RAW_FILES
NEG
GEN-7S_Neg.wiff
FILES
RAW_FILES
NEG
GEN-diG_Neg.wiff
FILES
RAW_FILES
NEG
GEN_Neg.wiff
FILES
RAW_FILES
NEG
GLCA-3S_Neg.wiff
FILES
RAW_FILES
NEG
GLCA_Neg.wiff
FILES
RAW_FILES
NEG
HA_Neg.wiff
FILES
RAW_FILES
NEG
HCTZ_Neg.wiff
FILES
RAW_FILES
NEG
HES-3_G_Neg.wiff
FILES
RAW_FILES
NEG
HES-7G_Neg.wiff
FILES
RAW_FILES
NEG
HES-7S_Neg.wiff
FILES
RAW_FILES
NEG
HES_Neg.wiff
FILES
RAW_FILES
NEG
HPYR-G_Neg.wiff
FILES
RAW_FILES
NEG
HTYR-3G_Neg.wiff
FILES
RAW_FILES
NEG
HTYR-3S_Neg.wiff
FILES
RAW_FILES
NEG
HTYR-4G_Neg.wiff
FILES
RAW_FILES
NEG
HTYR-4S_Neg.wiff
FILES
RAW_FILES
NEG
HTYR_Neg.wiff
FILES
RAW_FILES
NEG
HVA-S_Neg.wiff
FILES
RAW_FILES
NEG
HVA_Neg.wiff
FILES
RAW_FILES
NEG
HVAlc_Neg.wiff
FILES
RAW_FILES
NEG
IBP_Neg.wiff
FILES
RAW_FILES
NEG
IXH_Neg.wiff
FILES
RAW_FILES
NEG
K-3G_Neg.wiff
FILES
RAW_FILES
NEG
K_Neg.wiff
FILES
RAW_FILES
NEG
LCA_Neg.wiff
FILES
RAW_FILES
NEG
LUT-3G_Neg.wiff
FILES
RAW_FILES
NEG
LUT-7G_Neg.wiff
FILES
RAW_FILES
NEG
LUT_Neg.wiff
FILES
RAW_FILES
NEG
MASLINIC_Neg.wiff
FILES
RAW_FILES
NEG
MBuP_Neg.wiff
FILES
RAW_FILES
NEG
MBzP_Neg.wiff
FILES
RAW_FILES
NEG
MDA_Neg.wiff
FILES
RAW_FILES
NEG
MHPV_Neg.wiff
FILES
RAW_FILES
NEG
MMP_Neg.wiff
FILES
RAW_FILES
NEG
MPA_Neg.wiff
FILES
RAW_FILES
NEG
MTR_Neg.wiff
FILES
RAW_FILES
NEG
MeP_Neg.wiff
FILES
RAW_FILES
NEG
N-acetylglucosamine-6S_Neg.wiff
FILES
RAW_FILES
NEG
N-acetylneuraminic_Neg.wiff
FILES
RAW_FILES
NEG
NAR-7G_Neg.wiff
FILES
RAW_FILES
NEG
NAR_Neg.wiff
FILES
RAW_FILES
NEG
OLEANOLIC_Neg.wiff
FILES
RAW_FILES
NEG
PAA_Neg.wiff
FILES
RAW_FILES
NEG
PFDA_Neg.wiff
FILES
RAW_FILES
NEG
PFNA_Neg.wiff
FILES
RAW_FILES
NEG
PFOA_Neg.wiff
FILES
RAW_FILES
NEG
PFOS_Neg.wiff
FILES
RAW_FILES
NEG
PFUA_Neg.wiff
FILES
RAW_FILES
NEG
PHL_Neg.wiff
FILES
RAW_FILES
NEG
PICEID_Neg.wiff
FILES
RAW_FILES
NEG
PPA_Neg.wiff
FILES
RAW_FILES
NEG
PYR_Neg.wiff
FILES
RAW_FILES
NEG
PrP_Neg.wiff
FILES
RAW_FILES
NEG
ProB2_Neg.wiff
FILES
RAW_FILES
NEG
Q-3G_Neg.wiff
FILES
RAW_FILES
NEG
Q-3_G_Neg.wiff
FILES
RAW_FILES
NEG
Q-3_S_Neg.wiff
FILES
RAW_FILES
NEG
Q_Neg.wiff
FILES
RAW_FILES
NEG
SECO_Neg.wiff
FILES
RAW_FILES
NEG
SIN_Neg.wiff
FILES
RAW_FILES
NEG
SYR_Neg.wiff
FILES
RAW_FILES
NEG
TAX_Neg.wiff
FILES
RAW_FILES
NEG
TCA_Neg.wiff
FILES
RAW_FILES
NEG
TCC_Neg.wiff
FILES
RAW_FILES
NEG
TCDCA_Neg.wiff
FILES
RAW_FILES
NEG
TCPy_Neg.wiff
FILES
RAW_FILES
NEG
TCS_Neg.wiff
FILES
RAW_FILES
NEG
TDCA_Neg.wiff
FILES
RAW_FILES
NEG
THBAld_Neg.wiff
FILES
RAW_FILES
NEG
THPV_Neg.wiff
FILES
RAW_FILES
NEG
TLCA-3S_Neg.wiff
FILES
RAW_FILES
NEG
TLCA_Neg.wiff
FILES
RAW_FILES
NEG
TYR-G_Neg.wiff
FILES
RAW_FILES
NEG
TYR-S_Neg.wiff
FILES
RAW_FILES
NEG
TYR_Neg.wiff
FILES
RAW_FILES
NEG
UMB-G_Neg.wiff
FILES
RAW_FILES
NEG
UMB-S_Neg.wiff
FILES
RAW_FILES
NEG
UroA_Neg.wiff
FILES
RAW_FILES
NEG
UroB_Neg.wiff
FILES
RAW_FILES
NEG
UroC_Neg.wiff
FILES
RAW_FILES
NEG
VAN_Neg.wiff
FILES
RAW_FILES
NEG
VA_Neg.wiff
FILES
RAW_FILES
NEG
a-ketoglutaric_Neg.wiff
FILES
RAW_FILES
NEG
acesulfame_Neg.wiff
FILES
RAW_FILES
NEG
acetoacetic_Neg.wiff
FILES
RAW_FILES
NEG
adipic_Neg.wiff
FILES
RAW_FILES
NEG
arachidonic_Neg.wiff
FILES
RAW_FILES
NEG
ascorbic_Neg.wiff
FILES
RAW_FILES
NEG
azelaic_Neg.wiff
FILES
RAW_FILES
NEG
cRSV-3G_Neg.wiff
FILES
RAW_FILES
NEG
cRSV-4G_Neg.wiff
FILES
RAW_FILES
NEG
cRSV_Neg.wiff
FILES
RAW_FILES
NEG
cholesterol 3-sulfate_Neg.wiff
FILES
RAW_FILES
NEG
cholic_Neg.wiff
FILES
RAW_FILES
NEG
cis-aconitic_Neg.wiff
FILES
RAW_FILES
NEG
citramalic_Neg.wiff
FILES
RAW_FILES
NEG
citric_Neg.wiff
FILES
RAW_FILES
NEG
cyclamate_Neg.wiff
FILES
RAW_FILES
NEG
dehydroascorbic_Neg.wiff
FILES
RAW_FILES
NEG
docosahexaenoic _Neg.wiff
FILES
RAW_FILES
NEG
docosapentaenoic_Neg.wiff
FILES
RAW_FILES
NEG
docosatetraenoic _Neg.wiff
FILES
RAW_FILES
NEG
dodecanedioic_Neg.wiff
FILES
RAW_FILES
NEG
eicosapentaenoic_Neg.wiff
FILES
RAW_FILES
NEG
epicatechin 13C3_Neg.wiff
FILES
RAW_FILES
NEG
estrone-3-sulfate_Neg.wiff
FILES
RAW_FILES
NEG
ferulic 13C3_Neg.wiff
FILES
RAW_FILES
NEG
fumaric_Neg.wiff
FILES
RAW_FILES
NEG
galacturonic_Neg.wiff
FILES
RAW_FILES
NEG
gluconic_Neg.wiff
FILES
RAW_FILES
NEG
glucosamine 6-sulfate_Neg.wiff
FILES
RAW_FILES
NEG
glucose d2_Neg.wiff
FILES
RAW_FILES
NEG
glucose-6P_Neg.wiff
FILES
RAW_FILES
NEG
glucose_Neg.wiff
FILES
RAW_FILES
NEG
glutaric_Neg.wiff
FILES
RAW_FILES
NEG
glyceraldehyde-3P_Neg.wiff
FILES
RAW_FILES
NEG
glyceric 3-phosphate_Neg.wiff
FILES
RAW_FILES
NEG
glyceric_Neg.wiff
FILES
RAW_FILES
NEG
glycerol 1-phosphate_Neg.wiff
FILES
RAW_FILES
NEG
glycocholic 13C_Neg.wiff
FILES
RAW_FILES
NEG
glycolic_Neg.wiff
FILES
RAW_FILES
NEG
glyoxylic_Neg.wiff
FILES
RAW_FILES
NEG
homogentisic_Neg.wiff
FILES
RAW_FILES
NEG
iFA-G_Neg.wiff
FILES
RAW_FILES
NEG
iFA-S_Neg.wiff
FILES
RAW_FILES
NEG
iFA_Neg.wiff
FILES
RAW_FILES
NEG
iR-3G_Neg.wiff
FILES
RAW_FILES
NEG
iR_Neg.wiff
FILES
RAW_FILES
NEG
iVA_Neg.wiff
FILES
RAW_FILES
NEG
indoxyl glucuronide_Neg.wiff
FILES
RAW_FILES
NEG
indoxyl sulfate_Neg.wiff
FILES
RAW_FILES
NEG
isocitric_Neg.wiff
FILES
RAW_FILES
NEG
itaconic_Neg.wiff
FILES
RAW_FILES
NEG
lactic_Neg.wiff
FILES
RAW_FILES
NEG
linoleic_Neg.wiff
FILES
RAW_FILES
NEG
linolenic_Neg.wiff
FILES
RAW_FILES
NEG
lipoic_Neg.wiff
FILES
RAW_FILES
NEG
mCOU_Neg.wiff
FILES
RAW_FILES
NEG
malic_Neg.wiff
FILES
RAW_FILES
NEG
malonic_Neg.wiff
FILES
RAW_FILES
NEG
mandelic_Neg.wiff
FILES
RAW_FILES
NEG
methylmalonic_Neg.wiff
FILES
RAW_FILES
NEG
methylsuccinic_Neg.wiff
FILES
RAW_FILES
NEG
mevalonic_Neg.wiff
FILES
RAW_FILES
NEG
oCOU_Neg.wiff
FILES
RAW_FILES
NEG
orotic_Neg.wiff
FILES
RAW_FILES
NEG
oxaloacetic_Neg.wiff
FILES
RAW_FILES
NEG
p-cresol-G_Neg.wiff
FILES
RAW_FILES
NEG
p-cresol-S_Neg.wiff
FILES
RAW_FILES
NEG
pCOU-G_Neg.wiff
FILES
RAW_FILES
NEG
pCOU-S_Neg.wiff
FILES
RAW_FILES
NEG
pCOU_Neg.wiff
FILES
RAW_FILES
NEG
phenyllactic_Neg.wiff
FILES
RAW_FILES
NEG
phenylpyruvic_Neg.wiff
FILES
RAW_FILES
NEG
pimelic_Neg.wiff
FILES
RAW_FILES
NEG
pregnenolone 3-sulfate_Neg.wiff
FILES
RAW_FILES
NEG
pyruvic_Neg.wiff
FILES
RAW_FILES
NEG
ribose-5P_Neg.wiff
FILES
RAW_FILES
NEG
saccharin_Neg.wiff
FILES
RAW_FILES
NEG
sebacic_Neg.wiff
FILES
RAW_FILES
NEG
sedoheptulose-7P_Neg.wiff
FILES
RAW_FILES
NEG
sorbitol_Neg.wiff
FILES
RAW_FILES
NEG
suberic_Neg.wiff
FILES
RAW_FILES
NEG
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isobutyryl-carnitine_Pos.wiff/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 670
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS191
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1918
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
LC-MS_negative
IP31-Sample042negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP32-Sample043negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP33-Sample044negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP34-Sample045negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP35-Sample046negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP36-Sample047negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP37-Sample050negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP38-Sample051negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP39-Sample052negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP40-Sample053negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP41-Sample054negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
IP42-Sample055negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC1-Sample002negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC2-Sample003negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC3-Sample018negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC4-Sample033negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC5-Sample048negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC6-Sample056negtive.mzML
FILES
DERIVED_FILES
LC-MS_negative
QC7-Sample057negtive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP31-Sample099postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP32-Sample100postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP33-Sample101postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP34-Sample102postive.mzML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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DERIVED_FILES
LC-MS_positive
IP35-Sample103postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP36-Sample104postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP37-Sample107postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP38-Sample108postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP39-Sample109postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP40-Sample110postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP41-Sample111postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
IP42-Sample112postive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC1-Sample059positive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC2-Sample060positive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC3-Sample075positive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC4-Sample090positive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC5-Sample105positive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC6-Sample113positive.mzML
FILES
DERIVED_FILES
LC-MS_positive
QC7-Sample114positive.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Collection time point post infection
IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Label
IGNORED:  Samples_Unit
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1919
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS160
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1925
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6545 Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
pos_Blank7.mzML
FILES
DERIVED_FILES
pos_Pooled_1.mzML
FILES
DERIVED_FILES
pos_Pooled_2.mzML
FILES
DERIVED_FILES
pos_Pooled_3.mzML
FILES
DERIVED_FILES
pos_Pooled_4.mzML
FILES
DERIVED_FILES
pos_Pooled_5.mzML
FILES
DERIVED_FILES
pos_Pooled_6.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-A_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-A_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-A_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-B_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-B_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-B_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-C_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-C_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-C_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-D_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-D_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-D_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-E_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-E_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A10-E_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-A_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-A_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-A_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-B_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-B_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-B_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-C_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-C_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-C_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-D_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-D_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-D_3.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-E_1.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-E_2.mzML
FILES
DERIVED_FILES
pos_Sample_22A15-E_3.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-A_1.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-A_2.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-A_3.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-B_1.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-B_2.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-B_3.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-C_1.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-C_2.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-C_3.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-D_1.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-D_2.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-D_3.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-E_1.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-E_2.mzML
FILES
DERIVED_FILES
pos_Sample_Vector-E_3.mzML
FILES
DERIVED_FILES
pos_Sample_blank-A_1.mzML
FILES
DERIVED_FILES
pos_Sample_blank-A_2.mzML
FILES
DERIVED_FILES
pos_Sample_blank-A_3.mzML
FILES
DERIVED_FILES
pos_Sample_blank-B_1.mzML
FILES
DERIVED_FILES
pos_Sample_blank-B_2.mzML
FILES
DERIVED_FILES
pos_Sample_blank-B_3.mzML
FILES
DERIVED_FILES
pos_Sample_blank-C_1.mzML
FILES
DERIVED_FILES
pos_Sample_blank-C_2.mzML
FILES
DERIVED_FILES
pos_Sample_blank-C_3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Samples_Gene overexpression (OE)
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 15%|█▌        | 253/1662 [28:22<1:30:29,  3.85s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 61 rows!
Added 61 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1932
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Acylcarnitine_ST_1.raw
FILES
Acylcarnitine_ST_2.raw
FILES
Blank.raw
FILES
Liver_QC_High-DDA.raw
FILES
Liver_QC_Low-DDA.raw
FILES
Liver_QC_Medium-DDA.raw
FILES
Liver_QC_PRM-1.raw
FILES
Liver_QC_PRM-10.raw
FILES
Liver_QC_PRM-11.raw
FILES
Liver_QC_PRM-12.raw
FILES
Liver_QC_PRM-13.raw
FILES
Liver_QC_PRM-14.raw
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Liver_QC_PRM-15.raw
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Liver_QC_PRM-2.raw
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Liver_QC_PRM-3.raw
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Liver_QC_PRM-4.raw
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Liver_QC_PRM-5.raw
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Liver_QC_PRM-6.raw
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Liver_QC_PRM-7.raw
FILES
Liver_QC_PRM-8.raw
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Liver_QC_PRM-9.raw
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Liver_hydrophilic_DDMS.raw
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Liver_hydrophilic_DIA.raw
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Liver_hydrophilic_TDA_1.raw
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Liver_hydrophilic_TDA_2.raw
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Liver_hydrophobic_TDA_1.raw
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Liver_lipid_hydrophobic_DIA.raw
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NIST1950_hydrophilic_DDMS1.raw
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NIST1950_hydrophilic_DDMS2.raw
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NIST1950_hydrophilic_DIA.raw
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NIST1950_hydrophilic_TDA1.raw
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NIST1950_hydrophilic_TDA2.raw
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NIST1950_hydrophobic_DDMS1.raw
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NIST1950_hydrophobic_DDMS2.raw
FILES
NIST1950_hydrophobic_DIA.raw
FILES
NIST1950_hydrophobic_TDA1.raw
FILES
NIST1950_hydrophobic_TDA2.raw
FILES
Serum_QC_PRM-1.raw
FILES
Serum_QC_PRM-2.raw
FILES
Serum_QC_PRM-3.raw
FILES
Serum_QC_PRM-4.raw
FILES
Serum_QC_PRM-5.raw
FILES
Serum_QC_PRM-6.raw
FILES
Serum_QC_PRM-7.raw
FILES
Serum_QC_PRM-8.raw
FILES
Serum_QC_PRM-9.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Data Acquisition Method
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Sample extract
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 47 rows!
Added 47 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1935
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1952
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
FILES
Lipid Mediators Panel A+B (Mutch, Bazinet, Leo) Re-inject  08MAY2015-Bazinet.wiff
FILES
Lipid Mediators Panel A+B (Mutch, Bazinet, Leo) Re-inject  08MAY2015-Curve.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 15%|█▌        | 256/1662 [28:36<1:41:21,  4.33s/it]
 15%|█▌        | 257/1662 [28:37<1:18:00,  3.33s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 258/1662 [28:42<1:29:23,  3.82s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 259/1662 [28:47<1:37:37,  4.17s/it]
Number of rows removed due to not enough metadata: 2
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1955
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1956
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
AV_CK_C8_CK62-10_p_20230309_22.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-13_p_20230309_23.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-14_p_20230309_28.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-15_p_20230309_31.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-2_p_20230309_20.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-3_p_20230309_24.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-4_p_20230309_29.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-6_p_20230309_21.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-7_p_20230309_26.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-8_p_20230309_30.CDF
FILES
RAW_FILES
AV_CK_C8_CK62-9_p_20230309_18.CDF
FILES
RAW_FILES
AV_CK_C8_ExtBlk_p_20230309_12.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Filtered volume
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Susceptibility to infection
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Cell count
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Samples_EhV treatment
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1963
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6520 Q-TOF: missing value
  Agilent 6550 iFunnel Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
M_xanthyloides_1A_run2.d
FILES
Mx+AFVVPPRIS.d
FILES
Mx+GTVAVQFL.d
FILES
Mx+evolidine-V5.d
FILES
cyclo-AFVVPPRIS.d
FILES
cyclo-GTVAVQFL.d
FILES
evolidine-200-dil.d
FILES
evolidine.d
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Sample provenance
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 3
Returning 5 rows!
Added 5 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1964
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker compact: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
M_1_Tvox.mzML
FILES
M_1_Vir.mzML
FILES
M_1_WT.mzML
FILES
M_2_Tvox.mzML
FILES
M_2_Vir.mzML
FILES
M_2_WT.mzML
FILES
M_3_Tvox.mzML
FILES
M_3_Vir.mzML
FILES
M_3_WT.mzML
FILES
M_4_Tvox.mzML
FILES
M_4_Vir.mzML
FILES
M_4_WT.mzML
FILES
M_5_Tvox.mzML
FILES
M_5_Vir.mzML
FILES
M_5_WT.mzML
FILES
M_6_Tvox.mzML
FILES
M_6_Vir.mzML
FILES
M_6_WT.mzML
FILES
M_7_Tvox.mzML
FILES
M_7_Vir.mzML
FILES
M_7_WT.mzML
FILES
M_8_Tvox.mzML
FILES
M_8_Vir.mzML
FILES
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 260/1662 [28:52<1:45:47,  4.53s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 261/1662 [28:58<1:55:41,  4.95s/it]M_8_WT.mzML
FILES
M_9_Tvox.mzML
FILES
M_9_Vir.mzML
FILES
M_9_WT.mzML
FILES
R_10_C.mzML
FILES
R_10_Tvox.mzML
FILES
R_10_Vir.mzML
FILES
R_10_WT.mzML
FILES
R_1_C.mzML
FILES
R_1_Tvox.mzML
FILES
R_1_Vir.mzML
FILES
R_1_WT.mzML
FILES
R_2_C.mzML
FILES
R_2_Tvox.mzML
FILES
R_2_Vir.mzML
FILES
R_2_WT.mzML
FILES
R_3_C.mzML
FILES
R_3_Tvox.mzML
FILES
R_3_Vir.mzML
FILES
R_3_WT.mzML
FILES
R_4_C.mzML
FILES
R_4_Tvox.mzML
FILES
R_4_Vir.mzML
FILES
R_4_WT.mzML
FILES
R_5_C.mzML
FILES
R_5_Tvox.mzML
FILES
R_5_Vir.mzML
FILES
R_5_WT.mzML
FILES
R_6_C.mzML
FILES
R_6_Tvox.mzML
FILES
R_6_Vir.mzML
FILES
R_6_WT.mzML
FILES
R_7_C.mzML
FILES
R_7_Tvox.mzML
FILES
R_7_Vir.mzML
FILES
R_7_WT.mzML
FILES
R_8_C.mzML
FILES
R_8_Tvox.mzML
FILES
R_8_Vir.mzML
FILES
R_8_WT.mzML
FILES
R_9_C.mzML
FILES
R_9_Tvox.mzML
FILES
R_9_Vir.mzML
FILES
R_9_WT.mzML
FILES
S_1_Tvox.mzML
FILES
S_1_Vir.mzML
FILES
S_1_WT.mzML
FILES
S_2_Tvox.mzML
FILES
S_2_Vir.mzML
FILES
S_2_WT.mzML
FILES
S_3_Tvox.mzML
FILES
S_3_Vir.mzML
FILES
S_3_WT.mzML
FILES
S_4_Tvox.mzML
FILES
S_4_Vir.mzML
FILES
S_4_WT.mzML
FILES
S_5_Tvox.mzML
FILES
S_5_Vir.mzML
FILES
S_5_WT.mzML
FILES
S_6_Tvox.mzML
FILES
S_6_Vir.mzML
FILES
S_6_WT.mzML
FILES
S_7_Tvox.mzML
FILES
S_7_Vir.mzML
FILES
S_7_WT.mzML
FILES
S_8_Tvox.mzML
FILES
S_8_Vir.mzML
FILES
S_8_WT.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 91 rows!
Added 91 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1967
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6545 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZ_prep_001.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZ_prep_002.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZ_prep_003.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZ_prep_005.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZn_002.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZn_003.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZn_004.mzML
FILES
0315.19 Organel_AGI_Lyso_Golg_HilZn_005.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Organelle
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_IDH1 gene
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
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Number of rows removed due to not enough metadata: 2
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1968
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 262/1662 [29:13<3:06:33,  8.00s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 263/1662 [29:17<2:33:57,  6.60s/it]
pos_R5_Dold_L2_1110_D1_MSMS_BC6_01_15736.mzML
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pos_R60_Ccam_T21_0917_D8_MSMS_BE8_01_15760.mzML
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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IGNORED:  Is Fluid
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IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Term Source REF.9
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 48
Returning 380 rows!
Added 380 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1969
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX API 2000: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
ExosomesKO1.mzXML
FILES
ExosomesKO2.mzXML
FILES
ExosomesWT1.mzXML
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
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Number of rows removed due to not enough metadata: 0
Returning 4 rows!
Added 4 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS197
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 264/1662 [29:22<2:23:25,  6.16s/it]
  Thermo Scientific LTQ Orbitrap Discovery: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Bladder-ABCC5-1.RAW
FILES
Bladder-ABCC5-2.RAW
FILES
Bladder-ABCC5-3.RAW
FILES
Bladder-ABCC5-4.RAW
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Bladder-ABCC5-5.RAW
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Bladder-WT-1.RAW
FILES
Bladder-WT-2.RAW
FILES
Bladder-WT-3.RAW
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Bladder-WT-4.RAW
FILES
Bladder-WT-5.RAW
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Brain-ABCC5-1.RAW
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Brain-ABCC5-2.RAW
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Brain-ABCC5-3.RAW
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Brain-ABCC5-4.RAW
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Brain-ABCC5-5.RAW
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Brain-WT-1.RAW
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Brain-WT-2.RAW
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Brain-WT-3.RAW
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Brain-WT-4.RAW
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Erythrocytes-ABCC5-1.raw
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Erythrocytes-ABCC5-2.raw
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Erythrocytes-ABCC5-3.raw
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Erythrocytes-ABCC5-4.raw
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Erythrocytes-WT-1.raw
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Erythrocytes-WT-3.raw
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Erythrocytes-WT-4.raw
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Heart-ABCC5-2.RAW
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Heart-ABCC5-3.RAW
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Heart-WT-1.RAW
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Heart-WT-2.RAW
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Kidney-ABCC5-2.RAW
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Kidney-ABCC5-3.RAW
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Kidney-ABCC5-4.RAW
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Kidney-ABCC5-5.RAW
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Kidney-WT-1.RAW
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Kidney-WT-2.RAW
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Kidney-WT-3.RAW
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Kidney-WT-4.RAW
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Kidney-WT-5.RAW
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Lens-ABCC5-1.RAW
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Lens-ABCC5-2.RAW
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Lens-ABCC5-3.RAW
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Lens-ABCC5-4.RAW
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Lens-ABCC5-5.RAW
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Lens-WT-1.RAW
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Lens-WT-2.RAW
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Lens-WT-3.RAW
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Lens-WT-4.RAW
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Lens-WT-5.RAW
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Liver-ABCC5-1.RAW
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Liver-ABCC5-2.RAW
FILES
Liver-ABCC5-3.RAW
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Liver-ABCC5-4.RAW
FILES
Liver-ABCC5-5.RAW
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Liver-WT-1.RAW
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Liver-WT-2.RAW
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Liver-WT-3.RAW
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Liver-WT-4.RAW
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Liver-WT-5.RAW
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Lung-ABCC5-1.RAW
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Lung-ABCC5-2.RAW
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Lung-ABCC5-3.RAW
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Lung-ABCC5-4.RAW
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Lung-WT-2.RAW
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Muscle-ABCC5-5.RAW
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Muscle-WT-2.RAW
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Muscle-WT-3.RAW
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Plasma-ABCC5-1.raw
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Plasma-ABCC5-2.raw
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Plasma-ABCC5-3.raw
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Plasma-ABCC5-4.raw
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Plasma-ABCC5-5.raw
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Plasma-WT-1.raw
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Plasma-WT-2.raw
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Plasma-WT-3.raw
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Plasma-WT-4.raw
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Plasma-WT-5.raw
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Spleen-ABCC5-1.RAW
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Stomach-ABCC5-4.RAW
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Stomach-WT-4.RAW
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Testis-ABCC5-2.RAW
FILES
Testis-ABCC5-3.RAW
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Testis-ABCC5-4.RAW
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FILES
Testis-WT-1.RAW
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Testis-WT-2.RAW
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Testis-WT-3.RAW
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Testis-WT-4.RAW
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Testis-WT-5.RAW
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 130 rows!
Added 130 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1972
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
RAW_FILES
Blank.raw
FILES
RAW_FILES
Bligh Dyer 1 (BD).raw
FILES
RAW_FILES
Bligh Dyer 2 (BD).raw
FILES
RAW_FILES
Bligh Dyer 3 (BD).raw
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RAW_FILES
Folch 1 (FO).raw
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RAW_FILES
Folch 2 (FO).raw
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RAW_FILES
Folch 3 (FO).raw
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RAW_FILES
Immature 1 (IM).raw
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RAW_FILES
Immature 2 (IM).raw
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RAW_FILES
Immature 3 (IM).raw
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RAW_FILES
Matyash 1 (MA).raw
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RAW_FILES
Matyash 2 (MA).raw
FILES
RAW_FILES
Matyash 3 (MA).raw
FILES
RAW_FILES
Overripe  1 (OR).raw
FILES
RAW_FILES
Overripe 2 (OR).raw
FILES
RAW_FILES
Overripe 3 (OR).raw
FILES
RAW_FILES
Ripe peeled cherry 1 (RP).raw
FILES
RAW_FILES
Ripe peeled cherry 2 (RP).raw
FILES
RAW_FILES
Ripe peeled cherry 3 (RP).raw
FILES
RAW_FILES
Ripe pulped natural process 1 (PN).raw
FILES
RAW_FILES
Ripe pulped natural process 2 (PN).raw
FILES
RAW_FILES
Ripe pulped natural process 3 (PN).raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Maturation
IGNORED:  Samples_Extraction
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 265/1662 [29:27<2:14:57,  5.80s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 266/1662 [29:33<2:19:39,  6.00s/it]
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1973
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6545 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
0403.19 Organel_LGTER_CSH_neg_002.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_003.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_004.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_005.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_009.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_011.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_013.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_016.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_018.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_020.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_021.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_023.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_025.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_043.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_044.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_045.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_046.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_047.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_050.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_051.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_052.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_053.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_054.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_055.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_056.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_057.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_059.mzML
FILES
0403.19 Organel_LGTER_CSH_neg_060.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0001.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0002.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0009r.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0010.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0012.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Technical replicate
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Organelle
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_IDH1 gene
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 31 rows!
Added 31 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1974
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6545 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
0403.19 Organel_LGTER_CSH_pos_002.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_003.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_004.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_005.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_009.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_011.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_013.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_016.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_018.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_020.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_021.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_023.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_025.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_043.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_044.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_045.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_046.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_047.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_050.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_051.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_052.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_053.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_054.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_055.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_056.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_057.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_059.mzML
FILES
0403.19 Organel_LGTER_CSH_pos_060.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0003.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0004.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0005.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0007.mzML
FILES
0403.19 Organel_LGTER_CSH_prep_0008.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Technical replicate
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 267/1662 [29:39<2:21:46,  6.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 268/1662 [29:44<2:13:15,  5.74s/it]
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Organelle
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_IDH1 gene
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 31 rows!
Added 31 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1977
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Elite: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
C18_BLANKA_1.raw
FILES
C18_BLANKA_2.raw
FILES
C18_BLANK_A.raw
FILES
C18_BLANK_B.raw
FILES
KO_0909_1.raw
FILES
KO_0909_2.raw
FILES
KO_0909_3.raw
FILES
KO_1304_1.raw
FILES
KO_1304_2.raw
FILES
KO_1304_3.raw
FILES
KO_1709_1.raw
FILES
KO_1709_2.raw
FILES
KO_1709_3.raw
FILES
WT_0909_1.raw
FILES
WT_0909_2.raw
FILES
WT_0909_3.raw
FILES
WT_1304_1.raw
FILES
WT_1304_2.raw
FILES
WT_1304_3.raw
FILES
WT_1709_1.raw
FILES
WT_1709_2.raw
FILES
WT_1709_3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_quantification
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1983
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CamTPS1_NmTPS2.CDF
FILES
CamTPS2_ScSS.CDF
FILES
CamTPS3_NmTPS2.CDF
FILES
CamTPS6_CfTPS3.CDF
FILES
NmTPS1_CfTPS3.CDF
FILES
ShTPS1_ScSS.CDF
FILES
ZmAn2_NmTPS2.CDF
FILES
entkaurene_DXSGGPPScontrol.CDF
FILES
kolavelool_DXSGGPPScontrol.CDF
FILES
miltiradiene_DXSGGPPScontrol.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Enzyme pair
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 16%|█▌        | 269/1662 [29:49<2:05:05,  5.39s/it]
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 10 rows!
Added 10 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1991
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  filepath
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IGNORED:  Assay_Term Source REF.12
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Term Accession Number.12
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Samples_Unit.5
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IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Samples_Smoke Freq
IGNORED:  Samples_SF36 Role-Physical/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Non-dominant Grip Strength
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
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IGNORED:  Assay_Time range
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IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 784 rows!
Added 784 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1987
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1990
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2007
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2014
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2015
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2016
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis UHR-ToF: missing value
  Bruker timsTOF Pro: missing value
ENVOEnvironmentBiome:
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 17%|█▋        | 277/1662 [30:33<1:24:18,  3.65s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 17%|█▋        | 278/1662 [30:37<1:26:41,  3.76s/it]
IGNORED:  Assay_Term Accession Number
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Number of rows removed due to not enough metadata: 0
Returning 168 rows!
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2017
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1612
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 17%|█▋        | 279/1662 [30:43<1:44:25,  4.53s/it]
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Biospecimen
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 2
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2021
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
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Biomass_polar
EM_BP_Pool_23.cdf
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RAW_FILES
Biomass_polar
EM_BP_Pool_24.cdf
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Biomass_polar
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Biomass_polar
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Biomass_polar
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RAW_FILES
Biomass_polar
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RAW_FILES
Biomass_polar
EM_BP_Pool_29.cdf
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RAW_FILES
Biomass_polar
EM_BP_Pool_3.cdf
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RAW_FILES
Biomass_polar
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RAW_FILES
Biomass_polar
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RAW_FILES
Biomass_polar
EM_BP_Pool_4.cdf
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RAW_FILES
Biomass_polar
EM_BP_Pool_5.cdf
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RAW_FILES
Biomass_polar
EM_BP_Pool_6.cdf
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RAW_FILES
Biomass_polar
EM_BP_Pool_7.cdf
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RAW_FILES
Biomass_polar
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RAW_FILES
Biomass_polar
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RAW_FILES
Supernat_nonpolar
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RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_10.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_4.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_5.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_6.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_7.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_8.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_Blank_9.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D10_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D10_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D10_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D11_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D11_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D11_3.cdf
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RAW_FILES
Supernat_nonpolar
EM_SNP_D12_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D12_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D12_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D13_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D13_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D13_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D14_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D14_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D14_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D15_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D15_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D15_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D16_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D16_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D16_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D17_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D17_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D17_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D18_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D18_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D18_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D19_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D19_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D19_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D1_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D1_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D1_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D20_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D20_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D20_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D21_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D21_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D21_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D22_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D22_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D22_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D23_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D23_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D23_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D24_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D24_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D24_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D25_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D25_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D25_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D26_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D26_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D26_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D27_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D27_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D27_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D28_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D28_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D28_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D29_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D29_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D29_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D2_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D2_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D2_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D30_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D30_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D31_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D31_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D34_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D35_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D35_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D35_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D36_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D37_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D37_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D38_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D38_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D39_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D39_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D39_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D3_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D3_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D3_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D40_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D40_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D41_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D41_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D41_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D42_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D42_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D42_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D43_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D43_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D43_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D44_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D44_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D45_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D45_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D46_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D46_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D46_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D47_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D47_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D47_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D48_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D48_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D49_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D49_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D4_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D4_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D4_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
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FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D51_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D51_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D5_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D5_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D5_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D6_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D6_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D7_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D7_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D7_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D8_1.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D8_2.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D8_3.cdf
FILES
RAW_FILES
Supernat_nonpolar
EM_SNP_D9_1.cdf
FILES
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EM_SP_Pool_11.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 17%|█▋        | 280/1662 [31:02<3:23:57,  8.85s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Collection date
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Supernatant
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Biomass
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 777
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2026
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific DSQ II: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 64 rows!
Added 64 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2028
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ-S: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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lipid_batch_2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
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Number of rows removed due to not enough metadata: 0
Returning 231 rows!
Added 231 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2052
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2053
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-QP2010 Ultra: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 33 rows!
Added 33 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2060
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS207
Request successful!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_03.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_04.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_06.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_07.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_08.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_09.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_12.mzML
FILES
QXA08POL20191001_JHOP0519VW_MOUSE_CELLS_13.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_03.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_04.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_06.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_07.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_08.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_09.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_12.mzML
FILES
QXA14NEG20191001_JHOP0519VW_MOUSE_CELLS_13.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_03.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_04.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_06.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_07.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_08.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_09.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_12.mzML
FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_CELLS_13.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_03.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_04.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_06.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_07.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_08.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_09.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_12.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_CELLS_13.mzML
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Biological replicate
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2074
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2081
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CON2_neg-milk.mzXML
FILES
CON2_neg-rf.mzXML
FILES
CON2_pos-milk.mzXML
FILES
CON2_pos-rf.mzXML
FILES
CON3_neg-milk.mzXML
FILES
CON3_neg-rf.mzXML
FILES
CON3_pos-milk.mzXML
FILES
CON3_pos-rf.mzXML
FILES
CON4_neg-milk.mzXML
FILES
CON4_neg-rf.mzXML
FILES
CON4_pos-milk.mzXML
FILES
CON4_pos-rf.mzXML
FILES
CON5_neg-milk.mzXML
FILES
CON5_neg-rf.mzXML
FILES
CON5_pos-milk.mzXML
FILES
CON5_pos-rf.mzXML
FILES
CON6_neg-milk.mzXML
FILES
CON6_neg-rf.mzXML
FILES
CON6_pos-milk.mzXML
FILES
CON6_pos-rf.mzXML
FILES
CON7_neg-milk.mzXML
FILES
CON7_neg-rf.mzXML
FILES
CON7_pos-milk.mzXML
FILES
CON7_pos-rf.mzXML
FILES
CON8_neg-milk.mzXML
FILES
CON8_neg-rf.mzXML
FILES
CON8_pos-milk.mzXML
FILES
CON8_pos-rf.mzXML
FILES
PPL1_neg-milk.mzXML
FILES
PPL1_neg-rf.mzXML
FILES
PPL1_pos-milk.mzXML
FILES
PPL1_pos-rf.mzXML
FILES
PPL2_neg-milk.mzXML
FILES
PPL2_neg-rf.mzXML
FILES
PPL2_pos-milk.mzXML
FILES
PPL2_pos-rf.mzXML
FILES
PPL3_neg-milk.mzXML
FILES
PPL3_neg-rf.mzXML
FILES
PPL3_pos-milk.mzXML
FILES
PPL3_pos-rf.mzXML
FILES
PPL4_neg-milk.mzXML
FILES
PPL4_neg-rf.mzXML
FILES
PPL4_pos-milk.mzXML
FILES
PPL4_pos-rf.mzXML
FILES
PPL6_neg-milk.mzXML
FILES
PPL6_neg-rf.mzXML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 17%|█▋        | 288/1662 [31:31<1:19:44,  3.48s/it]
PPL6_pos-milk.mzXML
FILES
PPL6_pos-rf.mzXML
FILES
PPL7_neg-milk.mzXML
FILES
PPL7_neg-rf.mzXML
FILES
PPL7_pos-milk.mzXML
FILES
PPL7_pos-rf.mzXML
FILES
PPL8_neg-milk.mzXML
FILES
PPL8_neg-rf.mzXML
FILES
PPL8_pos-milk.mzXML
FILES
PPL8_pos-rf.mzXML
FILES
QC01_neg-milk.mzXML
FILES
QC01_neg-rf.mzXML
FILES
QC01_pos-milk.mzXML
FILES
QC01_pos-rf.mzXML
FILES
QC02_neg-milk.mzXML
FILES
QC02_neg-rf.mzXML
FILES
QC02_pos-milk.mzXML
FILES
QC02_pos-rf.mzXML
FILES
QC03_neg-milk.mzXML
FILES
QC03_neg-rf.mzXML
FILES
QC03_pos-milk.mzXML
FILES
QC03_pos-rf.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2085
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_03.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_04.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_05.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_06.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_07.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_08.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_10.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_11.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_12.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_13.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_14.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_15.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_17.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_18.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_19.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_20.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_21.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_23.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_24.mzML
FILES
19403 SSID Data MZML Liver
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_LIVER_26.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_03.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_04.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_05.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_06.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_07.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_08.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_10.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_11.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_12.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_13.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_14.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_15.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_17.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_18.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_19.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_20.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_21.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_23.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_24.mzML
FILES
19403 SSID Data MZML Liver
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_LIVER_26.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_03.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_04.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_05.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_06.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_07.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_08.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_10.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_11.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_12.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_13.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_14.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_15.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_17.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_18.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_19.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_20.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_21.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_23.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_24.mzML
FILES
19403 SSID Data MZML Liver
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_LIVER_26.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_03.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_04.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_05.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_06.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_07.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_08.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_10.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_11.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_12.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_13.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_14.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_15.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_17.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_18.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_19.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_20.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_21.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_23.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_24.mzML
FILES
19403 SSID Data MZML Liver
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_LIVER_RERUN_26.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_03.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_04.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_05.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_06.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_07.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_08.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_10.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_11.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_12.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_13.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_14.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_15.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_17.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_18.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_19.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_20.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_21.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_23.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_24.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_EPI_26.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_03.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_04.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_05.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_06.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_07.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_08.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_10.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_11.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_12.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_13.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_14.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_15.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_17.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_18.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_19.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_20.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_21.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_23.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_24.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_EPI_26.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_03.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_04.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_05.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_06.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_07.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_08.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_10.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_11.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_12.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_13.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_14.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_15.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_17.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_18.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_19.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_20.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_21.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_23.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_24.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_EPI_26.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_03.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_04.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_05.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_06.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_07.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_08.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_10.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_11.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_12.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_13.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_14.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_15.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_17.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_18.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_19.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_20.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_21.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_23.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_24.mzML
FILES
19404 SSID Data MZML Epididymal Fat
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_FAT_EPI_26.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_03.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_04.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_05.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_06.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_07.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_08.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_10.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_11.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_12.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_13.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_14.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_15.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_17.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_18.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_19.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_20.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_21.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_23.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_24.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_25.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_FAT_VISC_26.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_03.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_04.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_05.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_06.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_07.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_08.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_10.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_11.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_12.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_13.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_14.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_15.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_17.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_18.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_19.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_20.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_21.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_23.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_24.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_25.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_FAT_VISC_26.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_03.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_04.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_05.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_06.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_07.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_08.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_10.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_11.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_12.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_13.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_14.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_15.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_17.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_18.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_19.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_20.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_21.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_23.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_24.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_25.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_FAT_VISC_26.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_03.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_04.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_05.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_06.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_07.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_08.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_10.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_11.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_12.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_13.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_14.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_15.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_17.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_18.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_19.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_20.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_21.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_23.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_24.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_25.mzML
FILES
19405 SSID Data MZML Visceral Fat
Method 4
QXA16POL20181018_NIAG0218ML_MOUSE_FAT_VISC_RERUN_26.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_03.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_04.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_05.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_06.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_08.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_09.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_10.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_11.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_12.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_13.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_15.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_16.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_17.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_18.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_19.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_21.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_22.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_23.mzML
FILES
19406 SSID Data MZML Serum
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_SERUM_24.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_03.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_04.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_05.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_06.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_08.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_09.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_10.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_11.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_12.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_13.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_15.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_16.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_17.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_18.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_19.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_21.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_22.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_23.mzML
FILES
19406 SSID Data MZML Serum
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_SERUM_24.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_03.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_04.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_05.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_06.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_08.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_09.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_10.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_11.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_12.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_13.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_15.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_16.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_17.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_18.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_19.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_21.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_22.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_23.mzML
FILES
19406 SSID Data MZML Serum
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_SERUM_24.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_03.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_04.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_05.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_06.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_08.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_09.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_10.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_11.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_12.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_13.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_15.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_16.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_17.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_18.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_19.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_21.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_22.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_23.mzML
FILES
19406 SSID Data MZML Serum
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_SERUM_24.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_03.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_04.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_05.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_06.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_07.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_08.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_10.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_11.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_12.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_13.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_14.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_15.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_17.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_18.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_19.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_20.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_21.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_23.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_24.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 1
QXA15POSEAR20181012_NIAG0218ML_MOUSE_UNKNOWN_26.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_03.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_04.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_05.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_06.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_07.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_08.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_10.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_11.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_12.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_13.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_14.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_15.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_17.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_18.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_19.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_20.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_21.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_23.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_24.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 2
QXA15POSLAT20181012_NIAG0218ML_MOUSE_UNKNOWN_26.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_03.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_04.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_05.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_06.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_07.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_08.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_10.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_11.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_12.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_13.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_14.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_15.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_17.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_18.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_19.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_20.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_21.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_23.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_24.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 3
QXA14NEG20181012_NIAG0218ML_MOUSE_UNKNOWN_26.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_03.mzML
FILES
19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_04.mzML
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_05.mzML
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_06.mzML
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_08.mzML
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19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_10.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_11.mzML
FILES
19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_12.mzML
FILES
19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_13.mzML
FILES
19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_14.mzML
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19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_15.mzML
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_17.mzML
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19407 SSID Data MZML Quadriceps
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19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_19.mzML
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19407 SSID Data MZML Quadriceps
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_20.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_21.mzML
FILES
19407 SSID Data MZML Quadriceps
Method 4
QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_23.mzML
FILES
19407 SSID Data MZML Quadriceps
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QXA16POL20181012_NIAG0218ML_MOUSE_UNKNOWN_24.mzML
FILES
19407 SSID Data MZML Quadriceps
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
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IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 400 rows!
Added 400 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2087
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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Sample10_2uL_neg_70K_ddMS2_Ex4_mz215_mz800_Inc_woRT_Exc_02.raw
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Sample7_2uL_neg_70K_ddMS2_Ex4_mz215_mz800_Inc_woRT_Exc_03.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 17%|█▋        | 290/1662 [31:53<2:34:35,  6.76s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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Sample8_2uL_neg_70K_ddMS2_Ex4_mz215_mz800_Inc_woRT_Exc_02.raw
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2096
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Velos Pro: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Candidate effector
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IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 29 rows!
Added 29 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS21
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Electron PolarisQ: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
080314_05_1.cdf
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080314_06_11_run02.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Cultivation Year
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_CO2 Concentration
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2104
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX API 4000: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 293/1662 [32:09<2:22:46,  6.26s/it]
Number of rows removed due to not enough metadata: 15
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2105
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 294/1662 [32:18<2:40:44,  7.05s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 295/1662 [32:22<2:21:19,  6.20s/it]
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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Number of rows removed due to not enough metadata: 27
Returning 140 rows!
Added 140 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2108
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
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FILES
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20170825_SAM3576_saliva_pos.mzML
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20170825_SAM3720_saliva_pos.mzML
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20170825_SAM3812_saliva_pos.mzML
FILES
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20170825_SAM3824_saliva_pos.mzML
FILES
20170825_SAM3858_saliva_pos.mzML
FILES
20170825_SAM3864_saliva_pos.mzML
FILES
20170825_SAM3870_saliva_pos.mzML
FILES
20170825_SAM3928_saliva_pos.mzML
FILES
20170825_SAM3934_saliva_pos.mzML
FILES
20170825_SAM3940_saliva_pos.mzML
FILES
20170825_SAM3946_saliva_pos.mzML
FILES
20170825_SAM3954_saliva_pos.mzML
FILES
20170825_SAM3960_saliva_pos.mzML
FILES
20170825_SAM4002_saliva_pos.mzML
FILES
20170825_SAM4008_saliva_pos.mzML
FILES
20170825_SAM4016_saliva_pos.mzML
FILES
20170825_SAM4022_saliva_pos.mzML
FILES
20170825_SAM4028_saliva_pos.mzML
FILES
20170825_SAM4035_saliva_pos.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2109
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
01_4396_neg.mzML
FILES
01_4396_pos.mzML
FILES
02_4400_neg.mzML
FILES
02_4400_pos.mzML
FILES
03_4404_neg.mzML
FILES
03_4404_pos.mzML
FILES
04_4408_neg.mzML
FILES
04_4408_pos.mzML
FILES
05_4636_neg.mzML
FILES
05_4636_pos.mzML
FILES
06_4640_neg.mzML
FILES
06_4640_pos.mzML
FILES
07_4644_neg.mzML
FILES
07_4644_pos.mzML
FILES
08_4648_neg.mzML
FILES
08_4648_pos.mzML
FILES
09_3319_neg.mzML
FILES
09_3319_pos.mzML
FILES
10_3442_neg.mzML
FILES
10_3442_pos.mzML
FILES
11_3475_neg.mzML
FILES
11_3475_pos.mzML
FILES
12_3748_neg.mzML
FILES
12_3748_pos.mzML
FILES
13_3978_neg.mzML
FILES
13_3978_pos.mzML
FILES
14_4284_neg.mzML
FILES
14_4284_pos.mzML
FILES
15_3896_neg.mzML
FILES
15_3896_pos.mzML
FILES
16_3900_neg.mzML
FILES
16_3900_pos.mzML
FILES
17_3872_neg.mzML
FILES
17_3872_pos.mzML
FILES
18_3110_neg.mzML
FILES
18_3110_pos.mzML
FILES
19_3246_neg.mzML
FILES
19_3246_pos.mzML
FILES
20_3183_neg.mzML
FILES
20_3183_pos.mzML
FILES
21_3187_neg.mzML
FILES
21_3187_pos.mzML
FILES
22_3267_neg.mzML
FILES
22_3267_pos.mzML
FILES
23_3540_neg.mzML
FILES
23_3540_pos.mzML
FILES
24_3966_neg.mzML
FILES
24_3966_pos.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 296/1662 [32:26<2:06:56,  5.58s/it]
 18%|█▊        | 297/1662 [32:27<1:34:52,  4.17s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 298/1662 [32:31<1:30:34,  3.98s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2111
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2119
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Negative_000333.raw
FILES
Negative_000334.raw
FILES
Negative_000335.raw
FILES
Positive_000324.raw
FILES
Positive_000325.raw
FILES
Positive_000326.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS212
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus 4D: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CZ1_10s.cdf
FILES
CZ1_30m.cdf
FILES
CZ1_5m.cdf
FILES
CZ2_10s.cdf
FILES
CZ2_30m.cdf
FILES
CZ2_5m.cdf
FILES
CZ3_10s.cdf
FILES
CZ3_30m.cdf
FILES
CZ3_5m.cdf
FILES
KA1_10s.cdf
FILES
KA1_30m.cdf
FILES
KA1_5m.cdf
FILES
KA2_10s.cdf
FILES
KA2_30m.cdf
FILES
KA2_5m.cdf
FILES
KA3_10s.cdf
FILES
KA3_30m.cdf
FILES
KA3_5m.cdf
FILES
LT1_10s.cdf
FILES
LT1_30m.cdf
FILES
LT1_5m.cdf
FILES
LT2_10s.cdf
FILES
LT2_30m.cdf
FILES
LT2_5m.cdf
FILES
LT3_10s.cdf
FILES
LT3_30m.cdf
FILES
LT3_5m.cdf
FILES
MP1_10s.cdf
FILES
MP1_30m.cdf
FILES
MP1_5m.cdf
FILES
MP2_10s.cdf
FILES
MP2_30m.cdf
FILES
MP2_5m.cdf
FILES
MP3_10s.cdf
FILES
MP3_30m.cdf
FILES
MP3_5m.cdf
FILES
PK1_10s.cdf
FILES
PK1_30m.cdf
FILES
PK1_5m.cdf
FILES
PK2_10s.cdf
FILES
PK2_30m.cdf
FILES
PK2_5m.cdf
FILES
PK3_10s.cdf
FILES
PK3_30m.cdf
FILES
PK3_5m.cdf
FILES
QC1_10s.cdf
FILES
QC1_30m.cdf
FILES
QC1_5m.cdf
FILES
QC2_10s.cdf
FILES
QC2_30m.cdf
FILES
QC2_5m.cdf
FILES
QC3_10s.cdf
FILES
QC3_30m.cdf
FILES
QC3_5m.cdf
FILES
QC4_10s.cdf
FILES
QC4_30m.cdf
FILES
QC4_5m.cdf
FILES
QC5_10s.cdf
FILES
QC5_30m.cdf
FILES
QC5_5m.cdf
FILES
QC6_10s.cdf
FILES
QC6_30m.cdf
FILES
QC6_5m.cdf
FILES
QC7_10s.cdf
FILES
QC7_30m.cdf
FILES
QC7_5m.cdf
FILES
QC8_30m.cdf
FILES
QC8_5m.cdf
FILES
SC1_10s.cdf
FILES
SC1_30m.cdf
FILES
SC1_5m.cdf
FILES
SC2_10s.cdf
FILES
SC2_30m.cdf
FILES
SC2_5m.cdf
FILES
SC3_10s.cdf
FILES
SC3_30m.cdf
FILES
SC3_5m.cdf
FILES
TD1_10s.cdf
FILES
TD1_30m.cdf
FILES
TD1_5m.cdf
FILES
TD2_10s.cdf
FILES
TD2_30m.cdf
FILES
TD2_5m.cdf
FILES
TD3_10s.cdf
FILES
TD3_30m.cdf
FILES
TD3_5m.cdf
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column type 2
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Column type 1
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Time
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 299/1662 [32:36<1:36:57,  4.27s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 18%|█▊        | 300/1662 [32:39<1:32:28,  4.07s/it]
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Column model 2
IGNORED:  filename_lower
IGNORED:  Assay_Column model 1
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 86 rows!
Added 86 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS213
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CELL_Glc12_05mM_Normo_04.mzXML
FILES
CELL_Glc12_05mM_Normo_05.mzXML
FILES
CELL_Glc12_05mM_Normo_06.mzXML
FILES
CELL_Glc12_25mM_Normo_16.mzXML
FILES
CELL_Glc12_25mM_Normo_17.mzXML
FILES
CELL_Glc12_25mM_Normo_18.mzXML
FILES
CELL_Glc13_05mM_Normo_01.mzXML
FILES
CELL_Glc13_05mM_Normo_02.mzXML
FILES
CELL_Glc13_05mM_Normo_03.mzXML
FILES
CELL_Glc13_25mM_Normo_13.mzXML
FILES
CELL_Glc13_25mM_Normo_14.mzXML
FILES
CELL_Glc13_25mM_Normo_15.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Label
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_D-glucose
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2130
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
009_01_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
010_02_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
011_03_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
012_04_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
013_05_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
015_07_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
016_08_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
017_09_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
018_10_100uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
019_11_10uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
021_12_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
022_13_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
023_14_1uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
024_15_1uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
025_16_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
027_17_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
028_18_100uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
029_19_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
030_20_10uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
031_21_10uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
033_22_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
034_23_100uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
035_24_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
036_25_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
037_26_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
039_27_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
040_28_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
041_29_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
042_30_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
043_31_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
C8_pos
044_32_1uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
009_01_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
010_02_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
011_03_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
012_04_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
013_05_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
015_07_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
016_08_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
017_09_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
018_10_100uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
019_11_10uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
021_12_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
022_13_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
023_14_1uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
024_15_1uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
025_16_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
027_17_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
028_18_100uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
029_19_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
030_20_10uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
031_21_10uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
033_22_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
034_23_100uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
035_24_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
036_25_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
037_26_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
039_27_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
040_28_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
041_29_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
042_30_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
043_31_1uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_neg
044_32_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
009_01_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
010_02_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
011_03_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
012_04_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
013_05_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
015_07_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
016_08_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
017_09_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
018_10_100uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
019_11_10uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
021_12_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
022_13_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
023_14_1uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
024_15_1uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
025_16_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
027_17_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
028_18_100uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
029_19_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
030_20_10uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
031_21_10uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
033_22_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
034_23_100uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
035_24_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
036_25_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
037_26_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
039_27_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
040_28_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
041_29_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
042_30_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
043_31_1uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_01
HILIC_pos
044_32_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
009_01_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
010_02_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
011_03_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
012_04_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
013_05_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
014_06_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
016_07_100uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
017_08_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
018_09_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
019_10_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
020_11_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
021_12_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
023_13_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
024_14_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
025_15_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
026_16_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
027_17_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
028_18_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
030_19_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
031_20_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
032_21_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
033_22_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
C8_pos
034_23_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
009_01_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
010_02_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
011_03_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
012_04_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
013_05_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
014_06_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
016_07_100uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
017_08_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
018_09_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
019_10_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
020_11_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
021_12_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
023_13_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
024_14_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
025_15_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
026_16_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
027_17_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
028_18_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
030_19_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
031_20_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
032_21_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
033_22_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_neg
034_23_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
009_01_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
010_02_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
011_03_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
012_04_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
013_05_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
014_06_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
016_07_100uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
017_08_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
018_09_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
019_10_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
020_11_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
021_12_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
023_13_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
024_14_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
025_15_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
026_16_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
027_17_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
028_18_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
030_19_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
031_20_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
032_21_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
033_22_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_02
HILIC_pos
034_23_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
009_1_0uMB2.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
010_2_10uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
011_3_0uMB1.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
012_4_1uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
013_6_1uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
014_8_10uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
016_10_100uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
017_11_10uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
018_13_100uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
019_14_0uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
020_15_10uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
021_16_1uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
023_17_0uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
024_18_1uM2.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
025_19_100uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
026_20_100uM1.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
027_22_1uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
028_24_0uM3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
030_25_0uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
031_26_0uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
032_28_10uM5.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
033_29_0uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
034_30_100uM4.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
C8_pos
037_5_100uMB3.d
FILES
RAW_FILES
Proof_of_concept_experiment_03
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Samples_Sample type
IGNORED:  Samples_Protocol
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Experiment Design Type
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 5
Returning 348 rows!
Added 348 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2131
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 4
Returning 53 rows!
Added 53 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2137
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS214
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2145
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Bruker impact II UHR-TOF: missing value
ChromatographyAndPhase:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 224 rows!
Added 224 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2146
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2148
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2150
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
  Waters  SYNAPT-G2  Q-TOF: missing value
ENVOEnvironmentBiome:
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 19%|█▊        | 308/1662 [33:22<2:05:38,  5.57s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 483 rows!
Added 483 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2154
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2159
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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Country: ADDED!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 47 rows!
Added 47 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS216
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2166
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Samples_Term Source REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2171
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS218
Request successful!
SampleCollectionMethod: ADDED!
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214_M1_pE_pool_QC.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Visit
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 224 rows!
Added 224 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2187
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2188
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Source REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 19%|█▉        | 316/1662 [33:59<1:56:39,  5.20s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 19%|█▉        | 317/1662 [34:06<2:12:46,  5.92s/it]
 19%|█▉        | 318/1662 [34:07<1:38:42,  4.41s/it]
IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 198 rows!
Added 198 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2199
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS22
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2200
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Assay_Column model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 19%|█▉        | 319/1662 [34:14<1:55:47,  5.17s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 19%|█▉        | 320/1662 [34:20<2:03:03,  5.50s/it]
IGNORED:  Assay_Term Source REF.2
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Number of rows removed due to not enough metadata: 0
Returning 31 rows!
Added 31 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2207
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 8
Returning 14 rows!
Added 14 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2215
Request successful!
SampleCollectionMethod: ADDED!
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 1156 rows!
Added 1156 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2217
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500+: missing value
  Shimadzu GCMS-TQ8040: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
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G7_C_extr.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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FILES
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 104
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2218
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Thermo Scientific Q Exactive Plus: missing value
ChromatographyAndPhase:
   (Phenyl-Hexyl): missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
4-MEAP_Blank_HILIC_neg_01.mzXML
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FILES
4-MPD_Low_HILIC_neg_03.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Compound
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 184 rows!
Added 184 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2224
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
  AB SCIEX TripleTOF 5600: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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B35pos.mzML
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B36pos.mzML
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B37pos.mzML
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B39pos.mzML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 19%|█▉        | 324/1662 [35:28<3:59:56, 10.76s/it]
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
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IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 266 rows!
Added 266 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2239
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Bruker timsTOF Pro: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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45-1-autoMSMS-pos_P1-C-1_1_7124.mzML
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45-3-autoMSMS-pos_P1-C-3_1_7126.mzML
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7-2-autoMSMS-pos_P1-C-5_1_7128.mzML
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7-3-autoMSMS-pos_P1-C-6_1_7129.mzML
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8-1-autoMSMS-pos_P1-A-1_1_7049.mzML
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8c-3-autoMSMS-pos_P1-A-6_1_7054.mzML
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9-1-autoMSMS-pos_P1-A-7_1_7055.mzML
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9-2-autoMSMS-pos_P1-A-8_1_7056.mzML
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9-3-autoMSMS-pos_P1-A-9_1_7057.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|█▉        | 325/1662 [35:42<4:20:31, 11.69s/it]
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Samples_Biological species
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Voucher identifier
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Sample collection
IGNORED:  Is Organ
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Site coordinates
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2243
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
16369 SSID Data MZML
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16369 SSID Data MZML
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16369 SSID Data MZML
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QXA15POSEAR20170331_HOBA0216VW_HUMAN_MAMMALIAN_CELLS_(NON-CHO)_08.mzML
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16369 SSID Data MZML
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16369 SSID Data MZML
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16369 SSID Data MZML
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16369 SSID Data MZML
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number.6
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2235
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-TQ8040: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
DERIVED_FILES
U13C_Cit_F_Lysates_R1.CDF
FILES
DERIVED_FILES
U13C_Cit_F_Lysates_R2.CDF
FILES
DERIVED_FILES
U13C_Cit_F_Lysates_R3.CDF
FILES
DERIVED_FILES
U13C_Cit_F_Nuclei_R1.CDF
FILES
DERIVED_FILES
U13C_Cit_F_Nuclei_R2.CDF
FILES
DERIVED_FILES
U13C_Cit_F_Nuclei_R3.CDF
FILES
DERIVED_FILES
U13C_Cit_Lysates_R1.CDF
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DERIVED_FILES
U13C_Cit_Lysates_R2.CDF
FILES
DERIVED_FILES
U13C_Cit_Lysates_R3.CDF
FILES
DERIVED_FILES
U13C_Cit_Nuclei_R1.CDF
FILES
DERIVED_FILES
U13C_Cit_Nuclei_R2.CDF
FILES
DERIVED_FILES
U13C_Cit_Nuclei_R3.CDF
FILES
DERIVED_FILES
U13C_Cit_Nuclei_R4.CDF
FILES
DERIVED_FILES
U13C_Gln_1h_Nuclei_R1.CDF
FILES
DERIVED_FILES
U13C_Gln_1h_Nuclei_R2.CDF
FILES
DERIVED_FILES
U13C_Gln_1h_Nuclei_R3.CDF
FILES
DERIVED_FILES
U13C_Gln_5h_Nuclei_R1.CDF
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DERIVED_FILES
U13C_Gln_5h_Nuclei_R2.CDF
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DERIVED_FILES
U13C_Gln_5h_Nuclei_R3.CDF
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DERIVED_FILES
U13C_Gln_5h_Nuclei_R4.CDF
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DERIVED_FILES
U13C_Gln_5h_Nuclei_R5.CDF
FILES
DERIVED_FILES
U13C_Gln_5h_Nuclei_R6.CDF
FILES
DERIVED_FILES
U13C_Gln_Lysates_R1.CDF
FILES
DERIVED_FILES
U13C_Pyr_Lysates_R1.CDF
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DERIVED_FILES
U13C_Pyr_Lysates_R2.CDF
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DERIVED_FILES
U13C_Pyr_Lysates_R3.CDF
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DERIVED_FILES
U13C_Pyr_Nuclei_R1.CDF
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DERIVED_FILES
U13C_Pyr_Nuclei_R2.CDF
FILES
DERIVED_FILES
U13C_Pyr_Nuclei_R3.CDF
FILES
DERIVED_FILES
U13C_Pyr_Nuclei_R4.CDF
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DERIVED_FILES
U13C_Suc_Lysates_R1.CDF
FILES
DERIVED_FILES
U13C_Suc_Lysates_R2.CDF
FILES
DERIVED_FILES
U13C_Suc_Lysates_R3.CDF
FILES
DERIVED_FILES
U13C_Suc_Nuclei_R1.CDF
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DERIVED_FILES
U13C_Suc_Nuclei_R2.CDF
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DERIVED_FILES
U13C_Suc_Nuclei_R3.CDF
FILES
DERIVED_FILES
U13C_Suc_Nuclei_R4.CDF
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DERIVED_FILES
U13C_Suc_Nuclei_R5.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|█▉        | 327/1662 [35:55<3:19:46,  8.98s/it]IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Incubation Period
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 38
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2245
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_35.mzML
FILES
Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_36.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_37.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_38.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_39.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_40.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM1_42.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_03.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_04.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_05.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_06.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_07.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_08.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_09.mzML
FILES
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_10.mzML
FILES
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_12.mzML
FILES
Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_13.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_14.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_15.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_16.mzML
FILES
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_17.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_18.mzML
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Method 1
QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_19.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_20.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_21.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_23.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_24.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_25.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_26.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM2_27.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM3_21.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM3_35.mzML
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QXA12POSEAR20180807_MSSM0118ML_HUMAN_SERUM3_36.mzML
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Organism part
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Number of rows removed due to not enough metadata: 0
Returning 2000 rows!
Added 2000 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2247
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS225
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
  Waters Xevo TQ-S: missing value
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FILES
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SYL-TSQ-13-06-17_Urine5.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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TQS-RLN-20140623-069.mzXML
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TQS-RLN-20140623-072.mzXML
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TQS-RLN-20140623-073.mzXML
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TQS-RLN-20140623-074.mzXML
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TQS-RLN-20140623-075.mzXML
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Number of rows removed due to not enough metadata: 0
Returning 134 rows!
Added 134 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2259
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|█▉        | 331/1662 [37:23<6:09:53, 16.67s/it]
 20%|█▉        | 332/1662 [37:24<4:24:31, 11.93s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|██        | 333/1662 [37:29<3:35:05,  9.71s/it]
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Number of rows removed due to not enough metadata: 0
Returning 1085 rows!
Added 1085 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS226
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10035
Request successful!
SampleCollectionMethod: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2262
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  : missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
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IGNORED:  Assay_Chromatography Instrument/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 20%|██        | 334/1662 [37:36<3:18:19,  8.96s/it]
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
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Number of rows removed due to not enough metadata: 0
Returning 137 rows!
Added 137 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2266
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|██        | 335/1662 [37:46<3:26:02,  9.32s/it]
 20%|██        | 336/1662 [37:47<2:31:12,  6.84s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|██        | 337/1662 [37:52<2:17:34,  6.23s/it]
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 419 rows!
Added 419 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2267
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS227
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker CaptiveSpray nanoBooster and amaZon speed: missing value
  Bruker ultrafleXtreme: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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37382-A04-2 CaCo2_03 MS2.mzML
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37382-A04-2 CaCo2_04 MS2.mzML
FILES
37382-A04-2 CaCo2_05 MS3 interrupted after 20min.mzML
FILES
37382-A06-1 SW1116_01.mzML
FILES
37382-A06-1 SW1116_02 MS2.mzML
FILES
37382-A06-1 SW1116_04 MS2.mzML
FILES
37382-A06-2 Colo205_VUmc_01.mzML
FILES
37382-A08-2 RKO_VUmc_01.mzML
FILES
37382-A08-2 RKO_VUmc_02 MS2.mzML
FILES
37382-A09-1 SW480_01.mzML
FILES
37382-A09-1 SW480_02 MS2.mzML
FILES
37382-A10-1 HCT8_01.mzML
FILES
37382-A10-1 HCT8_02 MS2.mzML
FILES
37382-A12-1 WiDr_01.mzML
FILES
37382-A12-1 WiDr_02 MS2.mzML
FILES
37382-B04-1 HT29_01.mzML
FILES
37382-B04-1 HT29_02 MS2.mzML
FILES
37382-B08-1 LOVO_01.mzML
FILES
37382-B08-1 LOVO_02 MS2.mzML
FILES
37382-B12-1 SW48_01.mzML
FILES
37382-B12-1 SW48_02 MS2.mzML
FILES
LIFT_1444_D5.raw
FILES
LIFT_1617_D6.raw
FILES
LIFT_1622_E6.raw
FILES
LIFT_1663_C17.raw
FILES
LIFT_1752_B14.raw
FILES
LIFT_1825_G3.raw
FILES
LIFT_1850_C12.raw
FILES
LIFT_1866_B1.raw
FILES
LIFT_1982J1.raw
FILES
LIFT_2012_A12.raw
FILES
LIFT_2255_B2.raw
FILES
LIFT_2331_C5.raw
FILES
LIFT_2393_C19.raw
FILES
LIFT_2639_E19.raw
FILES
LIFT_2639_E20.raw
FILES
LIFT_2712_L3.raw
FILES
LIFT_A13_2494.raw
FILES
LIFT_A16_2540.raw
FILES
LIFT_A17_2889.raw
FILES
LIFT_A17_3036.raw
FILES
LIFT_A18_2494.raw
FILES
LIFT_A18_2860.raw
FILES
LIFT_A19_2304.raw
FILES
LIFT_A19_2670.raw
FILES
LIFT_A20_1257.raw
FILES
LIFT_A2_1419.raw
FILES
LIFT_A2_1581.raw
FILES
LIFT_B11_1688.raw
FILES
LIFT_C11_1743.raw
FILES
LIFT_C11_1905.raw
FILES
LIFT_C13_1996.raw
FILES
LIFT_C24_2158.raw
FILES
LIFT_C2_1955.raw
FILES
LIFT_C3_2067.raw
FILES
LIFT_C4_2685.raw
FILES
LIFT_C7_2523.raw
FILES
LIFT_C8_2215.raw
FILES
LIFT_C9_2685.raw
FILES
LIFT_D12_1809.raw
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Sample group
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column type 2
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Tumour site
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Column type 1
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Stage
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Column model 2
IGNORED:  filename_lower
IGNORED:  Assay_Column model 1
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Biol. Replicate
IGNORED:  Assay_Tech. replicate
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_CDX1/Villin
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 63 rows!
Added 63 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2274
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
191027_S1_LC02MS02_016_QC01_.mzML
FILES
191027_S1_LC02MS02_017_QC02_.mzML
FILES
191027_S1_LC02MS02_018_SAM03922_A_upper_0h_cells.mzML
FILES
191027_S1_LC02MS02_019_SAM03923_B_upper_0h_cells.mzML
FILES
191027_S1_LC02MS02_020_SAM03924_C_upper_0h_cells.mzML
FILES
191027_S1_LC02MS02_021_SAM03925_D_upper_0h_control.mzML
FILES
191027_S1_LC02MS02_022_SAM03926_A_upper_6h_cells.mzML
FILES
191027_S1_LC02MS02_023_QC03_.mzML
FILES
191027_S1_LC02MS02_024_SAM03927_B_upper_6h_cells.mzML
FILES
191027_S1_LC02MS02_025_SAM03928_C_upper_6h_cells.mzML
FILES
191027_S1_LC02MS02_026_SAM03929_D_upper_6h_control.mzML
FILES
191027_S1_LC02MS02_027_SAM03930_A_upper_12h_cells.mzML
FILES
191027_S1_LC02MS02_028_SAM03931_B_upper_12h_cells.mzML
FILES
191027_S1_LC02MS02_029_QC04_.mzML
FILES
191027_S1_LC02MS02_030_SAM03932_C_upper_12h_cells.mzML
FILES
191027_S1_LC02MS02_031_SAM03933_D_upper_12h_control.mzML
FILES
191027_S1_LC02MS02_032_SAM03934_A_upper_24h_cells.mzML
FILES
191027_S1_LC02MS02_033_SAM03935_B_upper_24h_cells.mzML
FILES
191027_S1_LC02MS02_034_SAM03936_C_upper_24h_cells.mzML
FILES
191027_S1_LC02MS02_035_QC05_.mzML
FILES
191027_S1_LC02MS02_036_SAM03937_D_upper_24h_control.mzML
FILES
191027_S1_LC02MS02_037_SAM03938_A_upper_48h_cells.mzML
FILES
191027_S1_LC02MS02_038_SAM03939_B_upper_48h_cells.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 20%|██        | 338/1662 [37:57<2:10:57,  5.93s/it]
 20%|██        | 339/1662 [37:58<1:37:24,  4.42s/it]
 20%|██        | 340/1662 [37:59<1:14:37,  3.39s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 21%|██        | 341/1662 [38:04<1:21:31,  3.70s/it]
FILES
191027_S1_LC02MS02_039_SAM03940_C_upper_48h_cells.mzML
FILES
191027_S1_LC02MS02_040_SAM03941_D_upper_48h_control.mzML
FILES
191027_S1_LC02MS02_041_QC06_.mzML
FILES
191027_S1_LC02MS02_042_SAM03942_A_lower_0h_cells.mzML
FILES
191027_S1_LC02MS02_043_SAM03943_B_lower_0h_cells.mzML
FILES
191027_S1_LC02MS02_044_SAM03944_C_lower_0h_cells.mzML
FILES
191027_S1_LC02MS02_045_SAM03945_D_lower_0h_control.mzML
FILES
191027_S1_LC02MS02_046_SAM03946_A_lower_6h_cells.mzML
FILES
191027_S1_LC02MS02_047_QC07_.mzML
FILES
191027_S1_LC02MS02_048_SAM03947_B_lower_6h_cells.mzML
FILES
191027_S1_LC02MS02_049_SAM03948_C_lower_6h_cells.mzML
FILES
191027_S1_LC02MS02_050_SAM03949_D_lower_6h_control.mzML
FILES
191027_S1_LC02MS02_051_SAM03950_A_lower_12h_cells.mzML
FILES
191027_S1_LC02MS02_052_SAM03951_B_lower_12h_cells.mzML
FILES
191027_S1_LC02MS02_053_QC08_.mzML
FILES
191027_S1_LC02MS02_054_SAM03952_C_lower_12h_cells.mzML
FILES
191027_S1_LC02MS02_055_SAM03953_D_lower_12h_control.mzML
FILES
191027_S1_LC02MS02_056_SAM03954_A_lower_24h_cells.mzML
FILES
191027_S1_LC02MS02_057_SAM03955_B_lower_24h_cells.mzML
FILES
191027_S1_LC02MS02_058_SAM03956_C_lower_24h_cells.mzML
FILES
191027_S1_LC02MS02_059_QC09_.mzML
FILES
191027_S1_LC02MS02_060_SAM03957_D_lower_24h_control.mzML
FILES
191027_S1_LC02MS02_061_SAM03958_A_lower_48h_cells.mzML
FILES
191027_S1_LC02MS02_062_SAM03959_B_lower_48h_cells.mzML
FILES
191027_S1_LC02MS02_063_SAM03960_C_lower_48h_cells.mzML
FILES
191027_S1_LC02MS02_064_SAM03961_D_lower_48h_control.mzML
FILES
191027_S1_LC02MS02_065_QC10_.mzML
FILES
191027_S1_LC02MS02_066_QC11_.mzML
FILES
191027_S1_LC02MS02_067_Blank_.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Initial Time Point
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Layer
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Chamber
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 52 rows!
Added 52 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2276
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2277
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2279
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
C1.cdf
FILES
RAW_FILES
C2.cdf
FILES
RAW_FILES
C3.cdf
FILES
RAW_FILES
C4.cdf
FILES
RAW_FILES
C5.cdf
FILES
RAW_FILES
C6.cdf
FILES
RAW_FILES
CC1.cdf
FILES
RAW_FILES
CC2.cdf
FILES
RAW_FILES
CC3.cdf
FILES
RAW_FILES
CC4.cdf
FILES
RAW_FILES
CC5.cdf
FILES
RAW_FILES
CC6.cdf
FILES
RAW_FILES
QC-1.cdf
FILES
RAW_FILES
QC-2.cdf
FILES
RAW_FILES
QC-3.cdf
FILES
RAW_FILES
T1.cdf
FILES
RAW_FILES
T2.cdf
FILES
RAW_FILES
T3.cdf
FILES
RAW_FILES
T4.cdf
FILES
RAW_FILES
T5.cdf
FILES
RAW_FILES
T6.cdf
FILES
RAW_FILES
TT1.cdf
FILES
RAW_FILES
TT2.cdf
FILES
RAW_FILES
TT3.cdf
FILES
RAW_FILES
TT4.cdf
FILES
RAW_FILES
TT5.cdf
FILES
RAW_FILES
TT6.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS228
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 21%|██        | 342/1662 [38:07<1:22:56,  3.77s/it]
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20131126_024_JM_BM_exp12-10-18_S1_0s.mzML
FILES
20131126_026_JM_BM_exp12-10-18_S2_5s.mzML
FILES
20131126_028_JM_BM_exp12-10-18_S3_10s.mzML
FILES
20131126_030_JM_BM_exp12-10-18_S4_20s.mzML
FILES
20131126_032_JM_BM_exp12-10-18_S5_30s.mzML
FILES
20131126_034_JM_BM_exp12-10-18_S6_60s.mzML
FILES
20131126_036_JM_BM_exp12-10-18_S7_120s.mzML
FILES
20131126_038_JM_BM_exp12-10-18_S8_300s.mzML
FILES
20131126_040_JM_BM_exp12-10-18_S9_600s.mzML
FILES
20131204_072_JM_BM_internal_standard.mzML
FILES
20131209_103_JM_BM_exp12-09-26_S1_0s.mzML
FILES
20131209_105_JM_BM_exp12-09-26_S2_5s.mzML
FILES
20131209_107_JM_BM_exp12-09-26_S3_10s.mzML
FILES
20131209_109_JM_BM_exp12-09-26_S4_20s.mzML
FILES
20131209_111_JM_BM_exp12-09-26_S5_30s.mzML
FILES
20131209_113_JM_BM_exp12-09-26_S6_60s.mzML
FILES
20131209_115_JM_BM_exp12-09-26_S7_120s.mzML
FILES
20131209_117_JM_BM_exp12-09-26_S8_300s.mzML
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2288
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 21%|██        | 343/1662 [38:17<2:03:27,  5.62s/it]
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IGNORED:  Assay_Autosampler model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 21%|██        | 344/1662 [38:28<2:35:39,  7.09s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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 21%|██        | 345/1662 [38:32<2:16:41,  6.23s/it]
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IGNORED:  Samples_Term Accession Number.6
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Number of rows removed due to not enough metadata: 0
Returning 391 rows!
Added 391 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS229
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_incubation time
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 39 rows!
Added 39 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2291
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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13092020_CovidNeg_P254_P_3.raw
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13092020_CovidNeg_P258_P_3.raw
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15092020_CovidNeg_P261_P_4.raw
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Negative
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Negative
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15092020_CovidNeg_P264_P_4.raw
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Negative
15092020_CovidNeg_P265_P_2.raw
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Negative
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15092020_CovidNeg_P266_P_4.raw
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15092020_CovidNeg_P267_P_2.raw
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15092020_CovidNeg_P267_P_3.raw
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Negative
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Negative
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Negative
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Negative
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Negative
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Negative
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FILES
Negative
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Negative
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Negative
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FILES
Negative
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Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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Negative
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FILES
Negative
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FILES
Negative
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Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
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FILES
Negative
26092020_CovidNeg_P478_P_3.raw
FILES
Negative
26092020_CovidNeg_P478_P_4.raw
FILES
Negative
26092020_CovidNeg_P480_P_2.raw
FILES
Negative
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FILES
Negative
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FILES
Negative
26092020_CovidNeg_P486_P_2.raw
FILES
Negative
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FILES
Negative
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QCpool
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22092020_CovidSevere_P343_P_2.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Label
IGNORED:  Samples_Disease severity
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
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IGNORED:  keep
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IGNORED:  Samples_Sample Name
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IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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Number of rows removed due to not enough metadata: 0
Returning 432 rows!
Added 432 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2295
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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Number of rows removed due to not enough metadata: 2
Returning 224 rows!
Added 224 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS23
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SBEP_Metab_Control1_A.CDF
FILES
SBEP_Metab_Control1_B.CDF
FILES
SBEP_Metab_Control2_A.CDF
FILES
SBEP_Metab_Control2_B.CDF
FILES
SBEP_Metab_Control3_A.CDF
FILES
SBEP_Metab_Control3_B.CDF
FILES
SBEP_Metab_LPSactivated1_A.CDF
FILES
SBEP_Metab_LPSactivated1_B.CDF
FILES
SBEP_Metab_LPSactivated2_A.CDF
FILES
SBEP_Metab_LPSactivated2_B.CDF
FILES
SBEP_Metab_LPSactivated3_A.CDF
FILES
SBEP_Metab_LPSactivated3_B.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2305
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2308
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
  Q Exactive Plus: missing value
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_04.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_05.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_07.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_08.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_09.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_12.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_14.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_15.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_17.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_18.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_19.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_21.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_23.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_25.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_26.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_28.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_29.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_32.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_35.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_36.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_37.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA1_43.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_08.mzML
FILES
14998
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_15.mzML
FILES
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QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_26.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_33.mzML
FILES
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14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160509_ARIV0116PM_HUMAN_PLASMA2_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA3_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_03.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_06.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_18.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_26.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_27.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_28.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_29.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_31.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_32.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_33.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_35.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_38.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_40.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_41.mzML
FILES
14998
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA4_42.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_04.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_06.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_07.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_09.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_10.mzML
FILES
14998
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_14.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_17.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_18.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_19.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_20.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_23.mzML
FILES
14998
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_24.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_25.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_28.mzML
FILES
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14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_29.mzML
FILES
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_30.mzML
FILES
14998
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_37.mzML
FILES
14998
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QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA5_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160511_ARIV0116PM_HUMAN_PLASMA6_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA11_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA12_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_34.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA13_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_34.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160516_ARIV0116PM_HUMAN_PLASMA14_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA15_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA16_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_34.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA17_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_34.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160517_ARIV0116PM_HUMAN_PLASMA18_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA19_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA20_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_19.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA21_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_34.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160518_ARIV0116PM_HUMAN_PLASMA22_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_05.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_24.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_37.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_39.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA10_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_18.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_32.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_35.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA7_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_11.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_16.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_22.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_25.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_27.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_29.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_42.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA8_44.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_03.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_04.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_06.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_07.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_08.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_09.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_10.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_12.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_13.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_14.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_15.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_17.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_20.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_21.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_23.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_26.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_28.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_30.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_31.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_33.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_36.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_38.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_40.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_41.mzML
FILES
14998
14998 Method 1
QXA07POSEAR20160520_ARIV0116PM_HUMAN_PLASMA9_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA1_43.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160509_ARIV0116PM_HUMAN_PLASMA2_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA3_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA4_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA5_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160511_ARIV0116PM_HUMAN_PLASMA6_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160513_ARIV0116PM_HUMAN_PLASMA10_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA11_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA12_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_34.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA13_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_34.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160516_ARIV0116PM_HUMAN_PLASMA14_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA15_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA16_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_34.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA17_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_34.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160517_ARIV0116PM_HUMAN_PLASMA18_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA19_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA20_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_05.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_19.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_39.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA21_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_24.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_34.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_37.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160518_ARIV0116PM_HUMAN_PLASMA22_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_18.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_32.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_35.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA7_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_11.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_16.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_22.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_25.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_27.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_29.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_42.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA8_44.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_03.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_04.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_06.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_07.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_08.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_09.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_10.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_12.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_13.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_14.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_15.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_17.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_20.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_21.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_23.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_26.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_28.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_30.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_31.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_33.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_36.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_38.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_40.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_41.mzML
FILES
14998
14998 Method 2
QXA07POSLAT20160520_ARIV0116PM_HUMAN_PLASMA9_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA1_43.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160510_ARIV0116PM_HUMAN_PLASMA2_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA3_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA4_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA5_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160511_ARIV0116PM_HUMAN_PLASMA6_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA8_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160513_ARIV0116PM_HUMAN_PLASMA9_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA11_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA12_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_34.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA13_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_34.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160516_ARIV0116PM_HUMAN_PLASMA14_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA15_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA16_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_34.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA17_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_34.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160517_ARIV0116PM_HUMAN_PLASMA18_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA20_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_21.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA21_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_34.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160518_ARIV0116PM_HUMAN_PLASMA22_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_05.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_13.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_17.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_24.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA10_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_14.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_15.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_19.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_20.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_22.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_27.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_29.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_30.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_33.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_36.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_37.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_39.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_41.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_42.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA19_RERUN_44.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_03.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_04.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_06.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_07.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_08.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_09.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_10.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_11.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_12.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_16.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_18.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_23.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_25.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_26.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_28.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_31.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_32.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_35.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_38.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_40.mzML
FILES
14998
14998 Method 3
QXA05NEG20160520_ARIV0116PM_HUMAN_PLASMA7_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA1_43.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160509_ARIV0116PM_HUMAN_PLASMA2_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA4_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA5_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160511_ARIV0116PM_HUMAN_PLASMA6_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA10_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA8_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160513_ARIV0116PM_HUMAN_PLASMA9_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA11_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA12_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_34.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160516_ARIV0116PM_HUMAN_PLASMA14_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA16_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_34.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA17_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_34.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160517_ARIV0116PM_HUMAN_PLASMA18_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160518_ARIV0116PM_HUMAN_PLASMA3_RERUN_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA19_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA20_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA21_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_13.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_15.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_33.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_34.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160519_ARIV0116PM_HUMAN_PLASMA22_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_17.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_20.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_24.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_27.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_34.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_36.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA13_RERUN_41.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_06.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_07.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_09.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_11.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_12.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_23.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_31.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_35.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_38.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_40.mzML
FILES
14998
14998 Method 4
QXA06POL20160520_ARIV0116PM_HUMAN_PLASMA7_44.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_03.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_04.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_05.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_08.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_10.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_14.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_16.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_18.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_19.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_21.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_22.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_25.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_26.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_28.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_29.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_30.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_32.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_37.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_39.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_42.mzML
FILES
14998
14998 Method 4
QXA06POL20160522_ARIV0116PM_HUMAN_PLASMA15_RERUN_44.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_04.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_06.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_07.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_08.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_09.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_18.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_19.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_22.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_29.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_30.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_31.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_33.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_35.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_37.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_38.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA1_42.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_03.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_04.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_05.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_06.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_07.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_08.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_09.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_10.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_13.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_14.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_15.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_16.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_18.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_19.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_20.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_21.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_23.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_24.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_25.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_27.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_28.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_31.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_34.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_36.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_37.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_39.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_40.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_41.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA2_42.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_03.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_04.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_05.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_06.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_07.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_10.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_12.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_14.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_15.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_16.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_17.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_18.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_22.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_23.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_27.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_28.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_31.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_35.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_36.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_37.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_38.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_40.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA3_41.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_06R.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_07R.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_08R.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_09.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_10.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_12.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_16.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_17.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_18.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_20.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_21.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_25.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_27.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_28.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_30.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_33.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_34.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_37.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_38.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_39.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160823_ARIV0216PM_HUMAN_PLASMA4_42.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_03.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_04.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_05.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_06.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_07.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_08.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_09.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_10.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_11.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_16.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_18.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_19.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_20.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_21.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_23.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_25.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_26.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_29.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_30.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_31.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_32.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_36.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_37.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_38.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_39.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_40.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_43.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA5_44.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_04.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_06.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_08.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_09.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_10.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_17.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_21.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_24.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_25.mzML
FILES
15429
15429 Method 1
QXA03POSEAR20160824_ARIV0216PM_HUMAN_PLASMA6_26.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_04.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_06.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_07.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_08.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_09.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_18.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_19.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_22.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_29.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_30.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_31.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_33.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_35.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_37.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_38.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA1_42.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_03.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_04.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_05.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_06.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_07.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_08.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_09.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_10.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_13.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_14.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_15.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_16.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_18.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_19.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_20.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_21.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_23.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_24.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_25.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_27.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_28.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_31.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_34.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_36.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_37.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_39.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_40.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_41.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA2_42.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_03.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_04.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_05.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_06.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_07.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_10.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_12.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_14.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_15.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_16.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_17.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_18.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_22.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_23.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_27.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_28.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_31.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_35.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_36.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_37.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_38.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_40.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA3_41.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_06.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_07.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_08.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_09.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_10.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_12.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_16.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_17.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_18.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_20.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_21.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_25.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_27.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_28.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_30.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_33.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_34.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_37.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_38.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_39.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160823_ARIV0216PM_HUMAN_PLASMA4_42.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_03.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_04.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_05.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_06.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_07.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_08.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_09.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_10.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_11.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_16.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_18.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_19.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_20.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_21.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_23.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_25.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_26.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_29.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_30.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_31.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_32.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_36.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_37.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_38.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_39.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_40.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_43.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA5_44.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_04.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_06.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_08.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_09.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_10.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_17.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_21.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_24.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_25.mzML
FILES
15429
15429 Method 2
QXA03POSLAT20160824_ARIV0216PM_HUMAN_PLASMA6_26.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_03.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_04.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_05.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_06.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_07.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_08.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_09.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_10.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_11.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_16.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_18.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_19.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_20.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_21.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_23.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_25.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_26.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_29.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_30.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_31.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_32.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_36.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_37.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_38.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_39.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_40.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_43.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA5_44.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_04.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_06.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_08.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_09.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_10.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_17.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_21.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_24.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_25.mzML
FILES
15429
15429 Method 3
QXA05NEG20160824_ARIV0216PM_HUMAN_PLASMA6_26.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_04.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_06.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_07.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_08.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_09.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_18.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_19.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_22.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_29.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_30.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_31.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_33.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_35.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_37.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_38.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA1_R_42.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_03.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_04.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_05.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_06.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_07.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_08.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_09.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_10.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_13.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_14.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_15.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_16.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_18.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_19.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_20.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_21.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_23.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_24.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_25.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_27.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_28.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_31.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_34.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_36.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_37.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_39.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_40.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_41.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA2_R_42.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_03.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_04.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_05.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_06.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_07.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_10.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_12.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_14.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_15.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_16.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_17.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_18.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_22.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_23.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_27.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_28.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_31.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_35.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_36.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_37.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_38.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_40.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA3_R_41.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_06.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_07.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_08.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_09.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_10.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_12.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_16.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_17.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_18.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_20.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_21.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_25.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_27.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_28.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_30.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_33.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_34.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_37.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_38.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_39.mzML
FILES
15429
15429 Method 3
QXA05NEG20160826_ARIV0216PM_HUMAN_PLASMA4_R_42.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_04.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_06.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_07.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_08.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_09.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_18.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_19.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_22.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_29.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_30.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_31.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_33.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_35.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_37.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_38.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA1_42.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_03.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_04.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_05.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_06.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_07.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_08.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_09.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_10.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_13.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_14.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_15.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_16.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_18.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_19.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_20.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_21.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_23.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_24.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_25.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_27.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_28.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_31.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_34.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_36.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_37.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_39.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_40.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_41.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA2_42.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_03.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_04.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_05.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_06.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_07.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_10.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_12.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_14.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_15.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_16.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_17.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_18.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_22.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_23.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_27.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_28.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_31.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_35.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_36.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_37.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_38.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_40.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA3_41.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_06.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_07.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_08.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_09.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_10.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_12.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_16.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_17.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_18.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_20.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_21.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_25.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_27.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_28.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_30.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_33.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_34.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_37.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_38.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_39.mzML
FILES
15429
15429 Method 4
QXA02POL20160823_ARIV0216PM_HUMAN_PLASMA4_42.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_04.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_06.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_08.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_09.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_10.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_17.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_21.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_24.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_25.mzML
FILES
15429
15429 Method 4
QXA02POL20160824_ARIV0216PM_HUMAN_PLASMA6_26.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_03.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_04.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_05.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_06.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_07.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_08.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_09.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_10.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_11.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_16.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_18.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_19.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_20.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_21.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_23.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_25.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_26.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_29.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_30.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_31.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_32.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_36.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_37.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_38.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_39.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_40.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_43.mzML
FILES
15429
15429 Method 4
QXA02POL20160829_ARIV0216PM_HUMAN_PLASMA5R_44.mzML
FILES
16327
16327 Method 1
QXA07POSEAR20170320_ARIV0316PM_HUMAN_PLASMA1_07.mzML
FILES
16327
16327 Method 1
QXA07POSEAR20170320_ARIV0316PM_HUMAN_PLASMA1_21.mzML
FILES
16327
16327 Method 1
QXA07POSEAR20170320_ARIV0316PM_HUMAN_PLASMA1_40.mzML
FILES
16327
16327 Method 1
QXA07POSEAR20170320_ARIV0316PM_HUMAN_PLASMA2_23.mzML
FILES
16327
16327 Method 1
QXA07POSEAR20170320_ARIV0316PM_HUMAN_PLASMA2_34.mzML
FILES
16327
16327 Method 1
QXA07POSEAR20170320_ARIV0316PM_HUMAN_PLASMA2_38.mzML
FILES
16327
16327 Method 2
QXA07POSLAT20170320_ARIV0316PM_HUMAN_PLASMA1_07.mzML
FILES
16327
16327 Method 2
QXA07POSLAT20170320_ARIV0316PM_HUMAN_PLASMA1_21.mzML
FILES
16327
16327 Method 2
QXA07POSLAT20170320_ARIV0316PM_HUMAN_PLASMA1_40.mzML
FILES
16327
16327 Method 2
QXA07POSLAT20170320_ARIV0316PM_HUMAN_PLASMA2_23.mzML
FILES
16327
16327 Method 2
QXA07POSLAT20170320_ARIV0316PM_HUMAN_PLASMA2_34.mzML
FILES
16327
16327 Method 2
QXA07POSLAT20170320_ARIV0316PM_HUMAN_PLASMA2_38.mzML
FILES
16327
16327 Method 3
QXA05NEG20170320_ARIV0316PM_HUMAN_PLASMA1_07.mzML
FILES
16327
16327 Method 3
QXA05NEG20170320_ARIV0316PM_HUMAN_PLASMA1_21.mzML
FILES
16327
16327 Method 3
QXA05NEG20170320_ARIV0316PM_HUMAN_PLASMA1_40.mzML
FILES
16327
16327 Method 3
QXA05NEG20170320_ARIV0316PM_HUMAN_PLASMA2_23.mzML
FILES
16327
16327 Method 3
QXA05NEG20170320_ARIV0316PM_HUMAN_PLASMA2_34.mzML
FILES
16327
16327 Method 3
QXA05NEG20170320_ARIV0316PM_HUMAN_PLASMA2_38.mzML
FILES
16327
16327 Method 4
QXA02POL20170331_ARIV0316PM_HUMAN_PLASMA1_07.mzML
FILES
16327
16327 Method 4
QXA02POL20170331_ARIV0316PM_HUMAN_PLASMA1_21.mzML
FILES
16327
16327 Method 4
QXA02POL20170331_ARIV0316PM_HUMAN_PLASMA1_40.mzML
FILES
16327
16327 Method 4
QXA02POL20170331_ARIV0316PM_HUMAN_PLASMA2_23.mzML
FILES
16327
16327 Method 4
QXA02POL20170331_ARIV0316PM_HUMAN_PLASMA2_34.mzML
FILES
16327
16327 Method 4
QXA02POL20170331_ARIV0316PM_HUMAN_PLASMA2_38.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_35.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_36.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_21.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
FILES
17678
17678 Method 1
QXA15POSEAR20171204_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
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17678
17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA12_21.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA12_23.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA12_34.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
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QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_05.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_06.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_07.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_09.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_10.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_12.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_21.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_23.mzML
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_25.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_27.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_28.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_35.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_36.mzML
FILES
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17678 Method 1
QXA15POSEAR20171208_ARIV0417PMML_HUMAN_PLASMA9_40.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_36.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_21.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_35.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_37.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_38.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_39.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_40.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_03.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_07.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
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17678 Method 2
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FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_14.mzML
FILES
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17678 Method 2
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FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_16.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_21.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_31.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_33.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
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17678 Method 2
QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_36.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_37.mzML
FILES
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QXA15POSLAT20171204_ARIV0417PMML_HUMAN_PLASMA4_39.mzML
FILES
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17678 Method 2
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FILES
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17678 Method 2
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FILES
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FILES
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FILES
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FILES
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17678 Method 2
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA5_33.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_30.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_31.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_35.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_36.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_37.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA6_42.mzML
FILES
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QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_04.mzML
FILES
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FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_06.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_09.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_13.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_15.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_19.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_23.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_24.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_25.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_28.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_31.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_34.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_37.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_38.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_40.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA7_42.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_05.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_08.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_10.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_12.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_13.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_15.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_26.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_33.mzML
FILES
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17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_34.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_36.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_37.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_38.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171205_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_08.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_09.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_12.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_14.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_16.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_19.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_23.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_24.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_25.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_29.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_31.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_34.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA13_39.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA14_14.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA14_15.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA14_18.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA14_20.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA14_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171207_ARIV0417PMML_HUMAN_PLASMA14_24.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_04.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_08.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_09.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_12.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_14.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_18.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_20.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_23.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_26.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_27.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_33.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_37.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_39.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_40.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA10_42.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_03.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_06.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_07.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_08.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_12.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_13.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_14.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_16.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_18.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_28.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_29.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_30.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_31.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_33.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_34.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_35.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA11_36.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_04.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_08.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_09.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_16.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_18.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_20.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_23.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_34.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_05.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_06.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_07.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_09.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_13.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_14.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_15.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_19.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_20.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_23.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_25.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_26.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_29.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_30.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_33.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_34.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_35.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA1_RERUN_36.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_05.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_06.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_07.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_09.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_10.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_12.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_21.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_23.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_25.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_27.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_28.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
17678
17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_35.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_36.mzML
FILES
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17678 Method 2
QXA15POSLAT20171208_ARIV0417PMML_HUMAN_PLASMA9_40.mzML
FILES
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QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
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QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_35.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
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QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
17678
17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
17678
17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_36.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
17678
17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_21.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_35.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_37.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_38.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_39.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_40.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA4_03.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA4_07.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA4_12.mzML
FILES
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17678 Method 3
QXA14NEG20171204_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
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17678
17678 Method 4
QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA11_34.mzML
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17678
17678 Method 4
QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA11_35.mzML
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17678
17678 Method 4
QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA11_36.mzML
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QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA12_04.mzML
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17678 Method 4
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17678 Method 4
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17678 Method 4
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17678 Method 4
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17678 Method 4
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17678 Method 4
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17678 Method 4
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17678
17678 Method 4
QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA3_RERUN_33.mzML
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17678
17678 Method 4
QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA3_RERUN_35.mzML
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17678
17678 Method 4
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17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678 Method 4
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17678
17678 Method 4
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17678 Method 4
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17678
17678 Method 4
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17678 Method 4
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17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
QXA16POL20171208_ARIV0417PMML_HUMAN_PLASMA4_RERUN_35.mzML
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17678
17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678 Method 4
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17678 Method 4
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17678
17678 Method 4
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17678
17678 Method 4
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17678 Method 4
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17678 Method 4
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17678
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17678
17678 Method 4
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17678 Method 4
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18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA7_37.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_09.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_17.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_31.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180309_ARIV0417PMML_HUMAN_PLASMA9_34.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_07.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_09.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_13.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_14.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_15.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_20.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_26.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_27.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_30.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_35.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_38.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_39.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA11_40.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_06.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_07.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_09.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_10.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_12.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_13.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_14.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_15.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_18.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_24.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_27.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_28.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_29.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_30.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_33.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_34.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_35.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_36.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_37.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA13_39.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_06.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_09.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_10.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_13.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_15.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_19.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_21.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_22.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180312_ARIV0417PMML_HUMAN_PLASMA14_24.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_03.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_09.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_10.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_17.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_20.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_28.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_30.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_31.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_33.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_35.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_37.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_38.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180315_ARIV0417PMML_HUMAN_PLASMA8_RERUN_39.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_03.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_05.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_08.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_12.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_15.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_16.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_17.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_18.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_19.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_20.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_24.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_27.mzML
FILES
18248
18248 Method 1
QXA07POSEAR20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_42.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_28.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA2_38.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_26.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_05.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_06.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_12.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_15.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_20.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_23.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_26.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_29.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_34.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_39.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180308_ARIV0417PMML_HUMAN_PLASMA5_42.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_08.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_20.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_31.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_36.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA10_39.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_04.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_16.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_21.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_26.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA6_38.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA7_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_03.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_28.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_30.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_33.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_38.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA8_39.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_31.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180309_ARIV0417PMML_HUMAN_PLASMA9_34.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_15.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_20.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_26.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_27.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_30.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_38.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_39.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA11_40.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_06.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_15.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_19.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_21.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_22.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180312_ARIV0417PMML_HUMAN_PLASMA14_24.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_06.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_07.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_09.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_10.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_12.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_13.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_14.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_15.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_18.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_24.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_27.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_28.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_29.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_30.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_33.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_34.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_35.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_36.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_37.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180315_ARIV0417PMML_HUMAN_PLASMA13_RERUN_39.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_03.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_05.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_08.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_12.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_15.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_16.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_17.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_18.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_19.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_20.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_24.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_27.mzML
FILES
18248
18248 Method 2
QXA07POSLAT20180316_ARIV0417PMML_HUMAN_PLASMA12_RERUN_42.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_28.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA2_38.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_26.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_05.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_06.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_12.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_15.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_20.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_23.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_26.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_29.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_34.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_39.mzML
FILES
18248
18248 Method 3
QXA05NEG20180308_ARIV0417PMML_HUMAN_PLASMA5_42.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_08.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_20.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_31.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_36.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA10_39.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_04.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_16.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_21.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_26.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA6_38.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA7_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_03.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_28.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_30.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_33.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_38.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA8_39.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_31.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
18248
18248 Method 3
QXA05NEG20180309_ARIV0417PMML_HUMAN_PLASMA9_34.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_15.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_20.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_26.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_27.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_30.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_38.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_39.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA11_40.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_03.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_05.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_08.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_12.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_15.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_16.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_17.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_18.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_19.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_20.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_27.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_06.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_07.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_12.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_14.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_15.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_18.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_24.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_27.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_28.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_29.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_30.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_33.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_34.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_35.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_36.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_37.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA13_39.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_06.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_09.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_10.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_13.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_15.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_19.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_21.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_22.mzML
FILES
18248
18248 Method 3
QXA05NEG20180312_ARIV0417PMML_HUMAN_PLASMA14_24.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_28.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_35.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_37.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA2_38.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_26.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_05.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_06.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_12.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_15.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_20.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_23.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_26.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_29.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_34.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_37.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_39.mzML
FILES
18248
18248 Method 4
QXA06POL20180308_ARIV0417PMML_HUMAN_PLASMA5_42.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_08.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_20.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_31.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_36.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_37.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA10_39.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_04.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_13.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_16.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_21.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_26.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA6_38.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA7_37.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_17.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_31.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
18248
18248 Method 4
QXA06POL20180309_ARIV0417PMML_HUMAN_PLASMA9_34.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_13.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_15.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_20.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_26.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_27.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_30.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_35.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_38.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_39.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA11_40.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_03.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_05.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_08.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_12.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_15.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_16.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_17.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_18.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_19.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_20.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_27.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_06.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_07.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_10.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_12.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_13.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_14.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_15.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_18.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_24.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_27.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_28.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_29.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_30.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_33.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_34.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_35.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_36.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_37.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA13_39.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_06.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_09.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_10.mzML
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18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_13.mzML
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18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_15.mzML
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18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_19.mzML
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18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_21.mzML
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18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_22.mzML
FILES
18248
18248 Method 4
QXA06POL20180312_ARIV0417PMML_HUMAN_PLASMA14_24.mzML
FILES
18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_03.mzML
FILES
18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_10.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_28.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_30.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_33.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_37.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_38.mzML
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18248
18248 Method 4
QXA06POL20180316_ARIV0417PMML_HUMAN_PLASMA8_39.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
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18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
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18716 Method 1
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18716
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
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18716
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
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18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
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18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
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18716
18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
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18716 Method 1
QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
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QXA07POSEAR20180531_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
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18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_09.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_13.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_21.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_30.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180601_ARIV0417PMML_HUMAN_PLASMA8_30.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180604_ARIV0417PMML_HUMAN_PLASMA11_37.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180604_ARIV0417PMML_HUMAN_PLASMA12_21.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180604_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180604_ARIV0417PMML_HUMAN_PLASMA12_26.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_37.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_38.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_39.mzML
FILES
18716
18716 Method 1
QXA07POSEAR20180605_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_10.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_14.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_16.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_38.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_37.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_38.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_39.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_03.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_09.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_12.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_21.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_28.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_30.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_36.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_37.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_39.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_40.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180531_ARIV0417PMML_HUMAN_PLASMA4_42.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_03.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_05.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_06.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_09.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_12.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_15.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_16.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_18.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_19.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_20.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_23.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_29.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_30.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_33.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_36.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_37.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_40.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA5_42.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_03.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_09.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_13.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_21.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_30.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180601_ARIV0417PMML_HUMAN_PLASMA8_30.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180604_ARIV0417PMML_HUMAN_PLASMA11_37.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180604_ARIV0417PMML_HUMAN_PLASMA12_21.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180604_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
18716
18716 Method 2
QXA07POSLAT20180604_ARIV0417PMML_HUMAN_PLASMA12_26.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_10.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_14.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_16.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_38.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_37.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_38.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_39.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_03.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_09.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_12.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_21.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_28.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_30.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_36.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_37.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_39.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_40.mzML
FILES
18716
18716 Method 3
QXA05NEG20180531_ARIV0417PMML_HUMAN_PLASMA4_42.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_03.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_05.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_06.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_09.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_12.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_15.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_16.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_18.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_19.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_20.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_23.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_29.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_30.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_33.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_36.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_37.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_40.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA5_42.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_03.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_09.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_13.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_21.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_30.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
18716
18716 Method 3
QXA05NEG20180601_ARIV0417PMML_HUMAN_PLASMA8_30.mzML
FILES
18716
18716 Method 3
QXA05NEG20180604_ARIV0417PMML_HUMAN_PLASMA11_37.mzML
FILES
18716
18716 Method 3
QXA05NEG20180604_ARIV0417PMML_HUMAN_PLASMA12_21.mzML
FILES
18716
18716 Method 3
QXA05NEG20180604_ARIV0417PMML_HUMAN_PLASMA12_24.mzML
FILES
18716
18716 Method 3
QXA05NEG20180604_ARIV0417PMML_HUMAN_PLASMA12_26.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_10.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_14.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_16.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_26.mzML
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_38.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_08.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_16.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_20.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_24.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_37.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA3_38.mzML
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_03.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_10.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_12.mzML
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_21.mzML
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_30.mzML
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18716
18716 Method 4
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18716
18716 Method 4
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18716
18716 Method 4
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18716
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QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_37.mzML
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18716
18716 Method 4
QXA06POL20180531_ARIV0417PMML_HUMAN_PLASMA4_39.mzML
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18716
18716 Method 4
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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18716
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19276
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19276
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19276 Method 1
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19276
19276 Method 1
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19276
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19276 Method 1
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19276 Method 1
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19276
19276 Method 1
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19276 Method 1
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19276 Method 1
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19276 Method 1
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19276 Method 1
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19276
19276 Method 1
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QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
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19276 Method 1
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QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
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19276
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19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_35.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_19.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_35.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_07.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_09.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_16.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_31.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_33.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180905_ARIV0417PMML_HUMAN_PLASMA4_40.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_03.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_07.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_10.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_16.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_19.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_27.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_28.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_18.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_20.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_25.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA6_37.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_05.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_19.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_25.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA7_40.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180906_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180907_ARIV0417PMML_HUMAN_PLASMA10_15.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180907_ARIV0417PMML_HUMAN_PLASMA10_27.mzML
FILES
19276
19276 Method 1
QXA07POSEAR20180907_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_28.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA1_40.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_10.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_28.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_35.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_07.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_09.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_16.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_31.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_33.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180905_ARIV0417PMML_HUMAN_PLASMA4_40.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180926_ARIV0417PMML_HUMAN_PLASMA10_15.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180926_ARIV0417PMML_HUMAN_PLASMA10_27.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180926_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_19.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_35.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_03.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_07.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_10.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_16.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_19.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_27.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_28.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_18.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_20.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA6_37.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_05.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_19.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_25.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA7_40.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19276
19276 Method 2
QXA07POSLAT20180927_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_28.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA1_40.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_10.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_28.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_35.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_19.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_35.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_07.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_09.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_16.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_31.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_33.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
19276
19276 Method 3
QXA05NEG20180905_ARIV0417PMML_HUMAN_PLASMA4_40.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_03.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_07.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_10.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_16.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_19.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_27.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_28.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_18.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_20.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA6_37.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_05.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_19.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_25.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA7_40.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19276
19276 Method 3
QXA05NEG20180906_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19276
19276 Method 3
QXA05NEG20180907_ARIV0417PMML_HUMAN_PLASMA10_15.mzML
FILES
19276
19276 Method 3
QXA05NEG20180907_ARIV0417PMML_HUMAN_PLASMA10_27.mzML
FILES
19276
19276 Method 3
QXA05NEG20180907_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_05.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_28.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_39.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA1_40.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_04.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_07.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_10.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_20.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_28.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_35.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_37.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_39.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_40.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA2_42.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_19.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_23.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_26.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_29.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_34.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_35.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA3_42.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_04.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_06.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_07.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_08.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_09.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_13.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_15.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_16.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_18.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_19.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_23.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_27.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_29.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_31.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_33.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_34.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_35.mzML
FILES
19276
19276 Method 4
QXA06POL20180905_ARIV0417PMML_HUMAN_PLASMA4_40.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_03.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_07.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_08.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_10.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_13.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_16.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_17.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_19.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_27.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_28.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_31.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA5_35.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_10.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_18.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_20.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_23.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_24.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA6_37.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_05.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_17.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_19.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_21.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_25.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_35.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19276
19276 Method 4
QXA06POL20180906_ARIV0417PMML_HUMAN_PLASMA7_40.mzML
FILES
19276
19276 Method 4
QXA06POL20180907_ARIV0417PMML_HUMAN_PLASMA10_15.mzML
FILES
19276
19276 Method 4
QXA06POL20180907_ARIV0417PMML_HUMAN_PLASMA10_27.mzML
FILES
19276
19276 Method 4
QXA06POL20180907_ARIV0417PMML_HUMAN_PLASMA12_42.mzML
FILES
19276
19276 Method 4
QXA08POL20180921_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19276
19276 Method 4
QXA08POL20180921_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181015_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_03.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_06.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_35.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_36.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA6_40.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_06.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_12.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_13.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_15.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_23.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_24.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_28.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_31.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_33.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_38.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA7_42.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_07.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_08.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_18.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_21.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_25.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181016_ARIV0417PMML_HUMAN_PLASMA8_42.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA10_12.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA10_13.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA10_23.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA10_24.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA10_26.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA12_03.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA12_23.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_05.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_10.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_12.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_14.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_16.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_20.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_27.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_35.mzML
FILES
19512
19512 Method 1
QXA10POSEAR20181017_ARIV0417PMML_HUMAN_PLASMA9_40.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181015_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_03.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_06.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_35.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_36.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA6_40.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_06.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_12.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_13.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_15.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_23.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_24.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_28.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_31.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_33.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_38.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA7_42.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_07.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_08.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_18.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_21.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_25.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181016_ARIV0417PMML_HUMAN_PLASMA8_42.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA10_12.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA10_13.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA10_23.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA10_24.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA10_26.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA12_03.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA12_23.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_05.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_10.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_12.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_14.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_16.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_20.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_27.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_35.mzML
FILES
19512
19512 Method 2
QXA10POSLAT20181017_ARIV0417PMML_HUMAN_PLASMA9_40.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19512
19512 Method 3
QXA09NEG20181015_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA10_12.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA10_13.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA10_23.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA10_24.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA10_26.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA12_03.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA12_23.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_05.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_10.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_12.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_14.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_16.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_20.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_27.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_35.mzML
FILES
19512
19512 Method 3
QXA09NEG20181017_ARIV0417PMML_HUMAN_PLASMA9_40.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_03.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_06.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_35.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_36.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA6_40.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_06.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_12.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_13.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_15.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_23.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_24.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_28.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_31.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_33.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_38.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA7_42.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_07.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_08.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_18.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_21.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_25.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19512
19512 Method 3
QXA09NEG20181019_ARIV0417PMML_HUMAN_PLASMA8_42.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
19512
19512 Method 4
QXA08POL20181015_ARIV0417PMML_HUMAN_PLASMA4_20.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_03.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_05.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_06.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_07.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_17.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_19.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_27.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_28.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_33.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_34.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_35.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_36.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_39.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA6_40.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_06.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_07.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_10.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_12.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_13.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_14.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_15.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_16.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_18.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_20.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_23.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_24.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_27.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_28.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_29.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_31.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_33.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_36.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_38.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_39.mzML
FILES
19512
19512 Method 4
QXA08POL20181016_ARIV0417PMML_HUMAN_PLASMA7_42.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA10_12.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA10_13.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA10_19.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA10_23.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA10_24.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA10_26.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA12_03.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA12_23.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_05.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_10.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_12.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_14.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_16.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_18.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_20.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_27.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_29.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_33.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_35.mzML
FILES
19512
19512 Method 4
QXA08POL20181017_ARIV0417PMML_HUMAN_PLASMA9_40.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_07.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_08.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_09.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_17.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_18.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_20.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_21.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_25.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_27.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_29.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_31.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_35.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_40.mzML
FILES
19512
19512 Method 4
QXA08POL20181019_ARIV0417PMML_HUMAN_PLASMA8_42.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_11.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190109_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19836
19836 Method 1
QXA07POSEAR20190110_ARIV0417PMML_HUMAN_PLASMA_12.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_11.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190109_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19836
19836 Method 2
QXA07POSLAT20190110_ARIV0417PMML_HUMAN_PLASMA_12.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_11.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
FILES
19836
19836 Method 3
QXA05NEG20190109_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19836
19836 Method 3
QXA05NEG20190110_ARIV0417PMML_HUMAN_PLASMA_12.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_11.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_17.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_19.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_20.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_31.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_36.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_38.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA1_42.mzML
FILES
19836
19836 Method 4
QXA06POL20190109_ARIV0417PMML_HUMAN_PLASMA4_05.mzML
FILES
19836
19836 Method 4
QXA06POL20190110_ARIV0417PMML_HUMAN_PLASMA_12.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_22.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_22.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_32.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_21.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_32.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
20060
20060 Method 1
QXA10POSEAR20190218_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_22.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_22.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_32.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_21.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_32.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
20060
20060 Method 2
QXA10POSLAT20190218_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_22.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_22.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_32.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_21.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_27.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_30.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_31.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_32.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_33.mzML
FILES
20060
20060 Method 3
QXA09NEG20190218_ARIV0417PMML_HUMAN_PLASMA3_36.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_03.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_04.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_06.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_07.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_08.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_09.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_10.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_12.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_13.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_14.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_15.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_16.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_18.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_21.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_22.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_23.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_24.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_25.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_26.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_27.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_29.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_30.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_32.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_33.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA1_34.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_03.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_05.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_06.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_08.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_09.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_12.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_13.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_15.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_17.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_18.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_19.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_22.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_23.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_24.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_27.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_29.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_30.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_31.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_32.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_33.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA2_34.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_03.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_04.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_05.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_06.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_07.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_09.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_10.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_12.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_13.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_14.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_15.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_17.mzML
FILES
20060
20060 Method 4
QXA08POL20190218_ARIV0417PMML_HUMAN_PLASMA3_18.mzML
FILES
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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 21%|██        | 350/1662 [41:30<18:03:39, 49.56s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 21%|██        | 351/1662 [41:35<13:12:24, 36.27s/it]
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 6488
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2309
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Standard_3B.raw
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Standard_6A.raw
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Standard_6B.raw
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Standard_7A.raw
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Standard_8B.raw
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Number of rows removed due to not enough metadata: 16
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2311
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
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FILES
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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NEG
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Number of rows removed due to not enough metadata: 0
Returning 85 rows!
Added 85 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2317
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2322
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2323
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2324
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2327
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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L44_151.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Accession Number.11
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Number of rows removed due to not enough metadata: 0
Returning 466 rows!
Added 466 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2328
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 358/1662 [42:08<3:24:06,  9.39s/it]
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Body Mass Index
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 303 rows!
Added 303 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS233
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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047_CRa_H9M5_M470_Blank_11_ges_neg.mzML
FILES
047_CRa_H9M5_M470_Blank_11_ges_pos.mzML
FILES
047_CRa_H9M5_M470_Blank_11_high_neg.mzML
FILES
047_CRa_H9M5_M470_Blank_11_high_pos.mzML
FILES
047_CRa_H9M5_M470_Blank_11_low_neg.mzML
FILES
047_CRa_H9M5_M470_Blank_11_low_pos.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Term Source REF.7
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Term Source REF.8
IGNORED:  row_id
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IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Replicate
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Time point
Number of rows removed due to not enough metadata: 0
Returning 528 rows!
Added 528 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2331
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2334
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10284
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
BMSC-0Gy-1.raw
FILES
BMSC-0Gy-2.raw
FILES
BMSC-0Gy-3.raw
FILES
BMSC-0Gy-4.raw
FILES
BMSC-4Gy-1.raw
FILES
BMSC-4Gy-2.raw
FILES
BMSC-4Gy-3.raw
FILES
BMSC-4Gy-4.raw
FILES
QC-1.raw
FILES
QC-2.raw
FILES
QC-3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Ionizing radiation
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 362/1662 [42:24<1:41:40,  4.69s/it]
 22%|██▏       | 363/1662 [42:25<1:17:42,  3.59s/it]
 22%|██▏       | 364/1662 [42:25<59:35,  2.75s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 365/1662 [42:29<1:06:23,  3.07s/it]
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 11 rows!
Added 11 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2336
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS234
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10318
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
NEG
HFX3_1577419_CN_QC1.raw
FILES
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HFX3_1577419_CN_QC2.raw
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HFX3_1577419_CN_QC3.raw
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HFX3_CN1_FZTM230001714-1A.raw
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HFX3_CN1_FZTM230001715-1A.raw
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HFX3_CN1_FZTM230001717-1A.raw
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HFX3_CN1_FZTM230001718-1A.raw
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HFX3_CN1_FZTM230001719-1A.raw
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HFX3_CN1_FZTM230001722-1A.raw
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HFX3_CN1_FZTM230001723-1A.raw
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HFX3_CN1_FZTM230001724-1A.raw
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HFX3_CN1_FZTM230001802-1A.raw
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HFX3_CN2_FZTM230001725-1A.raw
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HFX3_CN2_FZTM230001726-1A.raw
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HFX3_CN2_FZTM230001727-1A.raw
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HFX3_CN2_FZTM230001728-1A.raw
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HFX3_CN2_FZTM230001729-1A.raw
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HFX3_CN2_FZTM230001730-1A.raw
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HFX3_CN2_FZTM230001731-1A.raw
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HFX3_CN2_FZTM230001732-1A.raw
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HFX3_CN2_FZTM230001733-1A.raw
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HFX3_CN2_FZTM230001734-1A.raw
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POS
HFX3_1577419_CP_QC1.raw
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HFX3_1577419_CP_QC3.raw
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HFX3_CP1_FZTM230001713-1A.raw
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HFX3_CP1_FZTM230001714-1A.raw
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HFX3_CP1_FZTM230001715-1A.raw
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HFX3_CP1_FZTM230001716-1A.raw
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HFX3_CP1_FZTM230001717-1A.raw
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HFX3_CP1_FZTM230001718-1A.raw
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HFX3_CP1_FZTM230001719-1A.raw
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HFX3_CP1_FZTM230001721-1A.raw
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HFX3_CP1_FZTM230001802-1A.raw
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HFX3_CP2_FZTM230001725-1A.raw
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HFX3_CP2_FZTM230001728-1A.raw
FILES
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HFX3_CP2_FZTM230001729-1A.raw
FILES
POS
HFX3_CP2_FZTM230001730-1A.raw
FILES
POS
HFX3_CP2_FZTM230001731-1A.raw
FILES
POS
HFX3_CP2_FZTM230001732-1A.raw
FILES
POS
HFX3_CP2_FZTM230001733-1A.raw
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POS
HFX3_CP2_FZTM230001734-1A.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
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IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 52 rows!
Added 52 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10321
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
fecal_metabolomics_NEG_07_03mo_1.mzML
FILES
DERIVED_FILES
fecal_metabolomics_NEG_08_24mo_1.mzML
FILES
DERIVED_FILES
fecal_metabolomics_NEG_09_03mo_2.mzML
FILES
DERIVED_FILES
fecal_metabolomics_NEG_10_24mo_2.mzML
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DERIVED_FILES
fecal_metabolomics_NEG_11_24mo_3.mzML
FILES
DERIVED_FILES
fecal_metabolomics_NEG_13_03mo_3.mzML
FILES
DERIVED_FILES
fecal_metabolomics_NEG_14_03mo_4.mzML
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DERIVED_FILES
fecal_metabolomics_NEG_15_03mo_5.mzML
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DERIVED_FILES
fecal_metabolomics_NEG_16_24mo_4.mzML
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DERIVED_FILES
fecal_metabolomics_NEG_17_24mo_5.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_07_03mo_1.mzML
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DERIVED_FILES
fecal_metabolomics_POS_08_24mo_1.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_09_03mo_2.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_10_24mo_2.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_11_24mo_3.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_13_03mo_3.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_14_03mo_4.mzML
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fecal_metabolomics_POS_15_03mo_5.mzML
FILES
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fecal_metabolomics_POS_16_24mo_4.mzML
FILES
DERIVED_FILES
fecal_metabolomics_POS_17_24mo_5.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Label
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IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 366/1662 [42:33<1:10:23,  3.26s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 367/1662 [42:37<1:13:51,  3.42s/it]IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10323
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
NC1_N.mzML
FILES
NC1_P.mzML
FILES
NC2_N.mzML
FILES
NC2_P.mzML
FILES
NC3_N.mzML
FILES
NC3_P.mzML
FILES
OE1_N.mzML
FILES
OE1_P.mzML
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OE2_N.mzML
FILES
OE2_P.mzML
FILES
OE3_N.mzML
FILES
OE3_P.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2343
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ-S: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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J-IGT17.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 22%|██▏       | 368/1662 [43:05<3:53:48, 10.84s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 369/1662 [43:08<3:06:43,  8.66s/it]
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Guard column
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IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Cohort
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1556 rows!
Added 1556 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2347
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Organism
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2349
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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17092020_CovidSwabNeg_232_P_2.raw
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Negative
17092020_CovidSwabNeg_251_P_3.raw
FILES
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Negative
17092020_CovidSwabNeg_251_P_4.raw
FILES
Covid_swab
Negative
28102020_CovidNeg_S367_P_2.raw
FILES
Covid_swab
Negative
28102020_CovidNeg_S367_P_3.raw
FILES
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Negative
28102020_CovidNeg_S367_P_4.raw
FILES
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Negative
28102020_CovidNeg_S368_P_2.raw
FILES
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Negative
28102020_CovidNeg_S368_P_3.raw
FILES
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Negative
28102020_CovidNeg_S368_P_4.raw
FILES
Covid_swab
Negative
29102020_CovidNeg_S370_P_2.raw
FILES
Covid_swab
Negative
29102020_CovidNeg_S370_P_3.raw
FILES
Covid_swab
Negative
29102020_CovidNeg_S370_P_4.raw
FILES
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Negative
29102020_CovidNeg_S371_P_2.raw
FILES
Covid_swab
Negative
29102020_CovidNeg_S371_P_3.raw
FILES
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 22%|██▏       | 371/1662 [43:18<2:23:10,  6.65s/it]
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Depth
IGNORED:  Samples_Sampling day date
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Sampling month date
IGNORED:  Samples_Term Source REF.9
IGNORED:  Samples_UTC Sampling time
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 22%|██▏       | 373/1662 [43:36<3:05:25,  8.63s/it]
 23%|██▎       | 374/1662 [43:37<2:16:47,  6.37s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 375/1662 [43:43<2:12:36,  6.18s/it]
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Minute of the hour
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Hour of the day
IGNORED:  Samples_Sampling year date
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1488 rows!
Added 744 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2358
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10416
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Knock out genotype
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 2
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10418
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
  Waters Xevo TQXS: missing value
UBERONBodyPartName:
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ENVOEnvironmentBiome:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Country
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 33
Returning 287 rows!
Added 287 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10435
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 7250 GC/Q-TOF: missing value
  Synapt XS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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9242_TET_R6_121121n.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS166
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS237
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2372
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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AA_EAD_matrix_blank6.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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Number of rows removed due to not enough metadata: 51
Returning 164 rows!
Added 164 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2374
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 381/1662 [44:15<1:48:48,  5.10s/it]
MassSpectrometer:
  Agilent 6230 Accurate-Mass TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2376
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu LCMS-8040: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 382/1662 [44:21<1:54:47,  5.38s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 383/1662 [44:25<1:48:56,  5.11s/it]
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Gestational Age
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_FIA Instrument
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 218 rows!
Added 218 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10498
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 4600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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56_20230915_sct-7-pos.mzXML
FILES
mzxml
57_20230914_sct-2.mzXML
FILES
mzxml
57_20230915_sct-2-pos.mzXML
FILES
mzxml
58_20230914_ect-5.mzXML
FILES
mzxml
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FILES
mzxml
59_20230914_scc-5.mzXML
FILES
mzxml
59_20230915_scc-5-pos.mzXML
FILES
mzxml
60_20230914_ect-7.mzXML
FILES
mzxml
60_20230915_ect-7-pos.mzXML
FILES
mzxml
61_20230914_scc-1.mzXML
FILES
mzxml
61_20230915_scc-1-pos.mzXML
FILES
mzxml
62_20230914_ecc-4.mzXML
FILES
mzxml
62_20230915_ecc-4-pos.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 74 rows!
Added 74 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10516
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 384/1662 [44:29<1:41:11,  4.75s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 385/1662 [44:34<1:40:30,  4.72s/it]
 23%|██▎       | 386/1662 [44:35<1:18:32,  3.69s/it]
  nan: missing value
FILES
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POS_Fk02FJ_NC6.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10555
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
TAC-10d-1.mzML
FILES
TAC-10d-2.mzML
FILES
TAC-10d-3.mzML
FILES
TAC-10d-4.mzML
FILES
TAC-10d-5.mzML
FILES
TAC-10d-6.mzML
FILES
TAC-10d-7.mzML
FILES
TAC-10d-8.mzML
FILES
TAC-14d-1.mzML
FILES
TAC-14d-2.mzML
FILES
TAC-14d-3.mzML
FILES
TAC-14d-4.mzML
FILES
TAC-14d-5.mzML
FILES
TAC-14d-6.mzML
FILES
TAC-14d-7.mzML
FILES
TAC-14d-8.mzML
FILES
TAC-1d-1.mzML
FILES
TAC-1d-2.mzML
FILES
TAC-1d-3.mzML
FILES
TAC-1d-4.mzML
FILES
TAC-1d-5.mzML
FILES
TAC-1d-6.mzML
FILES
TAC-1d-7.mzML
FILES
TAC-1d-8.mzML
FILES
TAC-3d-1.mzML
FILES
TAC-3d-2.mzML
FILES
TAC-3d-3.mzML
FILES
TAC-3d-4.mzML
FILES
TAC-3d-5.mzML
FILES
TAC-3d-6.mzML
FILES
TAC-3d-7.mzML
FILES
TAC-3d-8.mzML
FILES
TAC-7d-1.mzML
FILES
TAC-7d-2.mzML
FILES
TAC-7d-3.mzML
FILES
TAC-7d-4.mzML
FILES
TAC-7d-5.mzML
FILES
TAC-7d-6.mzML
FILES
TAC-7d-7.mzML
FILES
TAC-7d-8.mzML
FILES
sham-1.mzML
FILES
sham-2.mzML
FILES
sham-3.mzML
FILES
sham-4.mzML
FILES
sham-5.mzML
FILES
sham-6.mzML
FILES
sham-7.mzML
FILES
sham-8.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1677
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10690
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 387/1662 [44:39<1:17:26,  3.64s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 388/1662 [44:43<1:19:03,  3.72s/it]ENVOEnvironmentMaterial:
  nan: missing value
FILES
FLP003_p001.raw
FILES
FLP003_p002.raw
FILES
FLP003_p003.raw
FILES
FLP003_p004.raw
FILES
FLP003_p005.raw
FILES
FLP003_p006.raw
FILES
FLP003_p007.raw
FILES
FLP003_p008.raw
FILES
FLP003_p009.raw
FILES
FLP003_p010.raw
FILES
FLP003_p011.raw
FILES
FLP003_p012.raw
FILES
FLP003_p013.raw
FILES
FLP003_p014.raw
FILES
FLP003_p015.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Mutation
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10715
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LTQ Orbitrap Elite: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
1-2.raw
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RAW_FILES
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QC-3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10720
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Orbitrap ID-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SUB12904p4_KO_T_1.raw
FILES
SUB12904p4_KO_T_2.raw
FILES
SUB12904p4_KO_T_3.raw
FILES
SUB12904p4_KO_UT_1.raw
FILES
SUB12904p4_KO_UT_2.raw
FILES
SUB12904p4_KO_UT_3.raw
FILES
SUB12904p4_MG_T_1.raw
FILES
SUB12904p4_MG_T_2.raw
FILES
SUB12904p4_MG_T_3.raw
FILES
SUB12904p4_MG_UT_1.raw
FILES
SUB12904p4_MG_UT_2.raw
FILES
SUB12904p4_MG_UT_3.raw
FILES
SUB12904p4_O_T_1.raw
FILES
SUB12904p4_O_T_2.raw
FILES
SUB12904p4_O_T_3.raw
FILES
SUB12904p4_O_UT_1.raw
FILES
SUB12904p4_O_UT_2.raw
FILES
SUB12904p4_O_UT_3.raw
FILES
SUB13761_cell15N.raw
FILES
SUB13761_cell1_1.raw
FILES
SUB13761_cellAD.raw
FILES
SUB13761_cellU.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 23%|██▎       | 389/1662 [44:46<1:19:57,  3.77s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 23%|██▎       | 390/1662 [44:52<1:32:59,  4.39s/it]
 24%|██▎       | 391/1662 [44:53<1:10:55,  3.35s/it]
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Drug treatment
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1679
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
SMALL_INTESTINE_WEEK4_B2.raw
FILES
RAW_FILES
SMALL_INTESTINE_WEEK4_B3.raw
FILES
RAW_FILES
SMALL_INTESTINE_WEEK4_B4.raw
FILES
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SMALL_INTESTINE_WEEK4_B5.raw
FILES
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SMALL_INTESTINE_WEEK4_B6.raw
FILES
RAW_FILES
SMALL_INTESTINE_WEEK4_B7.raw
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RAW_FILES
SMALL_INTESTINE_WEEK4_BY3.raw
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SMALL_INTESTINE_WEEK4_BY4.raw
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SMALL_INTESTINE_WEEK4_BY5.raw
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SMALL_INTESTINE_WEEK4_BY6.raw
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SMALL_INTESTINE_WEEK4_Blank_mid4.raw
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SMALL_INTESTINE_WEEK4_Blank_post5.raw
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SMALL_INTESTINE_WEEK4_Blank_post6.raw
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SMALL_INTESTINE_WEEK4_Blank_pre1.raw
FILES
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SMALL_INTESTINE_WEEK4_GF1.raw
FILES
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SMALL_INTESTINE_WEEK4_GF3.raw
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SMALL_INTESTINE_WEEK4_GF4_1.raw
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SMALL_INTESTINE_WEEK4_GF4_2.raw
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SMALL_INTESTINE_WEEK4_Y2.raw
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SMALL_INTESTINE_WEEK4_Y3.raw
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SMALL_INTESTINE_WEEK4_Y4.raw
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SMALL_INTESTINE_WEEK4_Y5.raw
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STOOL_SAMPLES_Blank_mid4.raw
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STOOL_SAMPLES_Blank_post6.raw
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STOOL_SAMPLES_Blank_post7.raw
FILES
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STOOL_SAMPLES_Blank_pre2.raw
FILES
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STOOL_SAMPLES_Blank_pre3.raw
FILES
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STOOL_WEEK4_BY_1.raw
FILES
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STOOL_WEEK4_BY_2.raw
FILES
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STOOL_WEEK4_BY_3.raw
FILES
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STOOL_WEEK4_BY_ABX_1.raw
FILES
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STOOL_WEEK4_BY_ABX_2.raw
FILES
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STOOL_WEEK4_BY_ABX_3.raw
FILES
RAW_FILES
STOOL_WEEK4_BY_AFX_1.raw
FILES
RAW_FILES
STOOL_WEEK4_BY_AFX_2.raw
FILES
RAW_FILES
STOOL_WEEK4_BY_AFX_3.raw
FILES
RAW_FILES
STOOL_WEEK4_Y_1.raw
FILES
RAW_FILES
STOOL_WEEK4_Y_2.raw
FILES
RAW_FILES
STOOL_WEEK4_Y_3.raw
FILES
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STOOL_WEEK9_BY_1.raw
FILES
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STOOL_WEEK9_BY_2.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_3.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_ABX_2.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_ABX_3.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_ABX_4.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_AFX_1.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_AFX_2.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_AFX_3.raw
FILES
RAW_FILES
STOOL_WEEK9_BY_AFX_4.raw
FILES
RAW_FILES
STOOL_WEEK9_B_1.raw
FILES
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STOOL_WEEK9_B_2.raw
FILES
RAW_FILES
STOOL_WEEK9_B_3.raw
FILES
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STOOL_WEEK9_B_4.raw
FILES
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STOOL_WEEK9_GF_1.raw
FILES
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STOOL_WEEK9_GF_2.raw
FILES
RAW_FILES
STOOL_WEEK9_GF_3.raw
FILES
RAW_FILES
STOOL_WEEK9_GF_4.raw
FILES
RAW_FILES
STOOL_WEEK9_Y_2.raw
FILES
RAW_FILES
STOOL_WEEK9_Y_3.raw
FILES
RAW_FILES
STOOL_WEEK9_Y_4.raw
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Samples_Gnotobiotic Model
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Location
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 61 rows!
Added 61 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS168
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10848
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
FILES
DERIVED FILES
0 Day_neg.mzXML
FILES
DERIVED FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 24%|██▎       | 392/1662 [44:58<1:21:23,  3.85s/it]
0 Day_pos.mzXML
FILES
DERIVED FILES
5 Day_neg.mzXML
FILES
DERIVED FILES
5 Day_pos.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1707
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HILIC_negative
Blank_BD.mzML
FILES
HILIC_negative
Blank_DCM.mzML
FILES
HILIC_negative
Blank_MH.mzML
FILES
HILIC_negative
Blank_MH_start.mzML
FILES
HILIC_negative
Blank_MTBE.mzML
FILES
HILIC_negative
H10_MH_E.mzML
FILES
HILIC_negative
H10_MH_E2.mzML
FILES
HILIC_negative
H10_MH_E3.mzML
FILES
HILIC_negative
H10_MH_E4.mzML
FILES
HILIC_negative
H10_MH_E5.mzML
FILES
HILIC_negative
H11_BD_A.mzML
FILES
HILIC_negative
H12_BD_B.mzML
FILES
HILIC_negative
H13_BD_C.mzML
FILES
HILIC_negative
H14_BD_D.mzML
FILES
HILIC_negative
H15_BD_E.mzML
FILES
HILIC_negative
H15_BD_E2.mzML
FILES
HILIC_negative
H15_BD_E3.mzML
FILES
HILIC_negative
H15_BD_E4.mzML
FILES
HILIC_negative
H15_BD_E5.mzML
FILES
HILIC_negative
H16_DCM_A.mzML
FILES
HILIC_negative
H17_DCM_B.mzML
FILES
HILIC_negative
H18_DCM_C.mzML
FILES
HILIC_negative
H19_DCM_D.mzML
FILES
HILIC_negative
H20_DCM_E.mzML
FILES
HILIC_negative
H20_DCM_E2.mzML
FILES
HILIC_negative
H20_DCM_E3.mzML
FILES
HILIC_negative
H20_DCM_E4.mzML
FILES
HILIC_negative
H20_DCM_E5.mzML
FILES
HILIC_negative
H21_MTBE_A.mzML
FILES
HILIC_negative
H22_MTBE_B.mzML
FILES
HILIC_negative
H23_MTBE_C.mzML
FILES
HILIC_negative
H24_MTBE_D.mzML
FILES
HILIC_negative
H24_MTBE_D2.mzML
FILES
HILIC_negative
H24_MTBE_D3.mzML
FILES
HILIC_negative
H24_MTBE_D4.mzML
FILES
HILIC_negative
H24_MTBE_D5.mzML
FILES
HILIC_negative
H25_MTBE_E.mzML
FILES
HILIC_negative
H6_MH_A.mzML
FILES
HILIC_negative
H7_MH_B.mzML
FILES
HILIC_negative
H8_MH_C.mzML
FILES
HILIC_negative
H9_MH_D.mzML
FILES
HILIC_negative
K10_MH_E.mzML
FILES
HILIC_negative
K10_MH_E2.mzML
FILES
HILIC_negative
K10_MH_E3.mzML
FILES
HILIC_negative
K10_MH_E4.mzML
FILES
HILIC_negative
K10_MH_E5.mzML
FILES
HILIC_negative
K11_BD_A.mzML
FILES
HILIC_negative
K12_BD_B.mzML
FILES
HILIC_negative
K13_BD_C.mzML
FILES
HILIC_negative
K14_BD_D.mzML
FILES
HILIC_negative
K15_BD_E.mzML
FILES
HILIC_negative
K15_BD_E2.mzML
FILES
HILIC_negative
K15_BD_E3.mzML
FILES
HILIC_negative
K15_BD_E4.mzML
FILES
HILIC_negative
K15_BD_E5.mzML
FILES
HILIC_negative
K16_DCM_A.mzML
FILES
HILIC_negative
K17_DCM_B.mzML
FILES
HILIC_negative
K18_DCM_C.mzML
FILES
HILIC_negative
K19_DCM_D.mzML
FILES
HILIC_negative
K20_DCM_E.mzML
FILES
HILIC_negative
K20_DCM_E2.mzML
FILES
HILIC_negative
K20_DCM_E3.mzML
FILES
HILIC_negative
K20_DCM_E4.mzML
FILES
HILIC_negative
K20_DCM_E5.mzML
FILES
HILIC_negative
K21_MTBE_A.mzML
FILES
HILIC_negative
K22_MTBE_B.mzML
FILES
HILIC_negative
K23_MTBE_C.mzML
FILES
HILIC_negative
K24_MTBE_D.mzML
FILES
HILIC_negative
K25_MTBE_E.mzML
FILES
HILIC_negative
K25_MTBE_E2.mzML
FILES
HILIC_negative
K25_MTBE_E3.mzML
FILES
HILIC_negative
K25_MTBE_E4.mzML
FILES
HILIC_negative
K25_MTBE_E5.mzML
FILES
HILIC_negative
K6_MH_A.mzML
FILES
HILIC_negative
K7_MH_B.mzML
FILES
HILIC_negative
K8_MH_C.mzML
FILES
HILIC_negative
K9_MH_D.mzML
FILES
HILIC_negative
L10_MH_E.mzML
FILES
HILIC_negative
L10_MH_E2.mzML
FILES
HILIC_negative
L10_MH_E3.mzML
FILES
HILIC_negative
L10_MH_E4.mzML
FILES
HILIC_negative
L10_MH_E5.mzML
FILES
HILIC_negative
L11_BD_A.mzML
FILES
HILIC_negative
L12_BD_B.mzML
FILES
HILIC_negative
L13_BD_C.mzML
FILES
HILIC_negative
L14_BD_D.mzML
FILES
HILIC_negative
L15_BD_E.mzML
FILES
HILIC_negative
L15_BD_E2.mzML
FILES
HILIC_negative
L15_BD_E3.mzML
FILES
HILIC_negative
L15_BD_E4.mzML
FILES
HILIC_negative
L15_BD_E5.mzML
FILES
HILIC_negative
L16_DCM_A.mzML
FILES
HILIC_negative
L17_DCM_B.mzML
FILES
HILIC_negative
L18_DCM_C.mzML
FILES
HILIC_negative
L19_DCM_D.mzML
FILES
HILIC_negative
L20_DCM_E.mzML
FILES
HILIC_negative
L20_DCM_E2.mzML
FILES
HILIC_negative
L20_DCM_E3.mzML
FILES
HILIC_negative
L20_DCM_E4.mzML
FILES
HILIC_negative
L20_DCM_E5.mzML
FILES
HILIC_negative
L21_MTBE_A.mzML
FILES
HILIC_negative
L22_MTBE_B.mzML
FILES
HILIC_negative
L23_MTBE_C.mzML
FILES
HILIC_negative
L24_MTBE_D.mzML
FILES
HILIC_negative
L25_MTBE_E.mzML
FILES
HILIC_negative
L25_MTBE_E2.mzML
FILES
HILIC_negative
L25_MTBE_E3.mzML
FILES
HILIC_negative
L25_MTBE_E4.mzML
FILES
HILIC_negative
L25_MTBE_E5.mzML
FILES
HILIC_negative
L6_MH_A.mzML
FILES
HILIC_negative
L7_MH_B.mzML
FILES
HILIC_negative
L8_MH_C.mzML
FILES
HILIC_negative
L9_MH_D.mzML
FILES
HILIC_negative
QC1.mzML
FILES
HILIC_negative
QC10.mzML
FILES
HILIC_negative
QC11.mzML
FILES
HILIC_negative
QC12.mzML
FILES
HILIC_negative
QC13.mzML
FILES
HILIC_negative
QC14.mzML
FILES
HILIC_negative
QC15.mzML
FILES
HILIC_negative
QC16.mzML
FILES
HILIC_negative
QC17.mzML
FILES
HILIC_negative
QC18.mzML
FILES
HILIC_negative
QC19.mzML
FILES
HILIC_negative
QC2.mzML
FILES
HILIC_negative
QC20.mzML
FILES
HILIC_negative
QC21.mzML
FILES
HILIC_negative
QC22.mzML
FILES
HILIC_negative
QC23.mzML
FILES
HILIC_negative
QC24_MSMS_70_200.mzML
FILES
HILIC_negative
QC25_MSMS_200_400.mzML
FILES
HILIC_negative
QC26_MSMS_400_1000.mzML
FILES
HILIC_negative
QC3.mzML
FILES
HILIC_negative
QC4.mzML
FILES
HILIC_negative
QC5.mzML
FILES
HILIC_negative
QC6.mzML
FILES
HILIC_negative
QC7.mzML
FILES
HILIC_negative
QC8.mzML
FILES
HILIC_negative
QC9.mzML
FILES
HILIC_positive
Blank_BD.mzML
FILES
HILIC_positive
Blank_DCM.mzML
FILES
HILIC_positive
Blank_MH.mzML
FILES
HILIC_positive
Blank_MH_start.mzML
FILES
HILIC_positive
Blank_MTBE.mzML
FILES
HILIC_positive
H10_MH_E.mzML
FILES
HILIC_positive
H10_MH_E2.mzML
FILES
HILIC_positive
H10_MH_E3.mzML
FILES
HILIC_positive
H10_MH_E4.mzML
FILES
HILIC_positive
H10_MH_E5.mzML
FILES
HILIC_positive
H11_BD_A.mzML
FILES
HILIC_positive
H12_BD_B.mzML
FILES
HILIC_positive
H13_BD_C.mzML
FILES
HILIC_positive
H14_BD_D.mzML
FILES
HILIC_positive
H15_BD_E.mzML
FILES
HILIC_positive
H15_BD_E2.mzML
FILES
HILIC_positive
H15_BD_E3.mzML
FILES
HILIC_positive
H15_BD_E4.mzML
FILES
HILIC_positive
H15_BD_E5.mzML
FILES
HILIC_positive
H16_DCM_A.mzML
FILES
HILIC_positive
H17_DCM_B.mzML
FILES
HILIC_positive
H18_DCM_C.mzML
FILES
HILIC_positive
H19_DCM_D.mzML
FILES
HILIC_positive
H20_DCM_E.mzML
FILES
HILIC_positive
H20_DCM_E2.mzML
FILES
HILIC_positive
H20_DCM_E3.mzML
FILES
HILIC_positive
H20_DCM_E4.mzML
FILES
HILIC_positive
H20_DCM_E5.mzML
FILES
HILIC_positive
H21_MTBE_A.mzML
FILES
HILIC_positive
H22_MTBE_B.mzML
FILES
HILIC_positive
H23_MTBE_C.mzML
FILES
HILIC_positive
H24_MTBE_D.mzML
FILES
HILIC_positive
H24_MTBE_D2.mzML
FILES
HILIC_positive
H24_MTBE_D3.mzML
FILES
HILIC_positive
H24_MTBE_D4.mzML
FILES
HILIC_positive
H24_MTBE_D5.mzML
FILES
HILIC_positive
H24_MTBE_D6.mzML
FILES
HILIC_positive
H25_MTBE_E.mzML
FILES
HILIC_positive
H6_MH_A.mzML
FILES
HILIC_positive
H7_MH_B.mzML
FILES
HILIC_positive
H8_MH_C.mzML
FILES
HILIC_positive
H9_MH_D.mzML
FILES
HILIC_positive
K10_MH_E.mzML
FILES
HILIC_positive
K10_MH_E2.mzML
FILES
HILIC_positive
K10_MH_E3.mzML
FILES
HILIC_positive
K10_MH_E4.mzML
FILES
HILIC_positive
K10_MH_E5.mzML
FILES
HILIC_positive
K11_BD_A.mzML
FILES
HILIC_positive
K12_BD_B.mzML
FILES
HILIC_positive
K13_BD_C.mzML
FILES
HILIC_positive
K14_BD_D.mzML
FILES
HILIC_positive
K15_BD_E.mzML
FILES
HILIC_positive
K15_BD_E2.mzML
FILES
HILIC_positive
K15_BD_E3.mzML
FILES
HILIC_positive
K15_BD_E4.mzML
FILES
HILIC_positive
K15_BD_E5.mzML
FILES
HILIC_positive
K16_DCM_A.mzML
FILES
HILIC_positive
K17_DCM_B.mzML
FILES
HILIC_positive
K18_DCM_C.mzML
FILES
HILIC_positive
K19_DCM_D.mzML
FILES
HILIC_positive
K20_DCM_E.mzML
FILES
HILIC_positive
K20_DCM_E2.mzML
FILES
HILIC_positive
K20_DCM_E3.mzML
FILES
HILIC_positive
K20_DCM_E4.mzML
FILES
HILIC_positive
K20_DCM_E5.mzML
FILES
HILIC_positive
K21_MTBE_A.mzML
FILES
HILIC_positive
K22_MTBE_B.mzML
FILES
HILIC_positive
K23_MTBE_C.mzML
FILES
HILIC_positive
K24_MTBE_D.mzML
FILES
HILIC_positive
K25_MTBE_E.mzML
FILES
HILIC_positive
K25_MTBE_E2.mzML
FILES
HILIC_positive
K25_MTBE_E3.mzML
FILES
HILIC_positive
K25_MTBE_E4.mzML
FILES
HILIC_positive
K25_MTBE_E5.mzML
FILES
HILIC_positive
K6_MH_A.mzML
FILES
HILIC_positive
K7_MH_B.mzML
FILES
HILIC_positive
K8_MH_C.mzML
FILES
HILIC_positive
K9_MH_D.mzML
FILES
HILIC_positive
L10_MH_E.mzML
FILES
HILIC_positive
L10_MH_E2.mzML
FILES
HILIC_positive
L10_MH_E3.mzML
FILES
HILIC_positive
L10_MH_E4.mzML
FILES
HILIC_positive
L10_MH_E5.mzML
FILES
HILIC_positive
L11_BD_A.mzML
FILES
HILIC_positive
L12_BD_B.mzML
FILES
HILIC_positive
L13_BD_C.mzML
FILES
HILIC_positive
L14_BD_D.mzML
FILES
HILIC_positive
L15_BD_E.mzML
FILES
HILIC_positive
L15_BD_E2.mzML
FILES
HILIC_positive
L15_BD_E3.mzML
FILES
HILIC_positive
L15_BD_E4.mzML
FILES
HILIC_positive
L15_BD_E5.mzML
FILES
HILIC_positive
L16_DCM_A.mzML
FILES
HILIC_positive
L17_DCM_B.mzML
FILES
HILIC_positive
L18_DCM_C.mzML
FILES
HILIC_positive
L19_DCM_D.mzML
FILES
HILIC_positive
L20_DCM_E.mzML
FILES
HILIC_positive
L20_DCM_E2.mzML
FILES
HILIC_positive
L20_DCM_E3.mzML
FILES
HILIC_positive
L20_DCM_E4.mzML
FILES
HILIC_positive
L20_DCM_E5.mzML
FILES
HILIC_positive
L21_MTBE_A.mzML
FILES
HILIC_positive
L22_MTBE_B.mzML
FILES
HILIC_positive
L23_MTBE_C.mzML
FILES
HILIC_positive
L24_MTBE_D.mzML
FILES
HILIC_positive
L25_MTBE_E.mzML
FILES
HILIC_positive
L25_MTBE_E2.mzML
FILES
HILIC_positive
L25_MTBE_E3.mzML
FILES
HILIC_positive
L25_MTBE_E4.mzML
FILES
HILIC_positive
L25_MTBE_E5.mzML
FILES
HILIC_positive
L6_MH_A.mzML
FILES
HILIC_positive
L7_MH_B.mzML
FILES
HILIC_positive
L8_MH_C.mzML
FILES
HILIC_positive
L9_MH_D.mzML
FILES
HILIC_positive
QC1.mzML
FILES
HILIC_positive
QC10.mzML
FILES
HILIC_positive
QC11.mzML
FILES
HILIC_positive
QC12.mzML
FILES
HILIC_positive
QC13.mzML
FILES
HILIC_positive
QC14.mzML
FILES
HILIC_positive
QC15.mzML
FILES
HILIC_positive
QC16.mzML
FILES
HILIC_positive
QC17.mzML
FILES
HILIC_positive
QC18.mzML
FILES
HILIC_positive
QC19.mzML
FILES
HILIC_positive
QC2.mzML
FILES
HILIC_positive
QC20.mzML
FILES
HILIC_positive
QC21.mzML
FILES
HILIC_positive
QC22.mzML
FILES
HILIC_positive
QC23.mzML
FILES
HILIC_positive
QC24.mzML
FILES
HILIC_positive
QC25_MSMS_70_200.mzML
FILES
HILIC_positive
QC26_MSMS_200_400.mzML
FILES
HILIC_positive
QC27_MSMS_400_1000.mzML
FILES
HILIC_positive
QC3.mzML
FILES
HILIC_positive
QC4.mzML
FILES
HILIC_positive
QC5.mzML
FILES
HILIC_positive
QC6.mzML
FILES
HILIC_positive
QC7.mzML
FILES
HILIC_positive
QC8.mzML
FILES
HILIC_positive
QC9.mzML
FILES
RP_lipids_negative
Blank_BD.mzML
FILES
RP_lipids_negative
Blank_DCM.mzML
FILES
RP_lipids_negative
Blank_ML.mzML
FILES
RP_lipids_negative
Blank_ML_start.mzML
FILES
RP_lipids_negative
Blank_MTBE.mzML
FILES
RP_lipids_negative
H11_BD_A.mzML
FILES
RP_lipids_negative
H12_BD_B.mzML
FILES
RP_lipids_negative
H13_BD_C.mzML
FILES
RP_lipids_negative
H14_BD_D.mzML
FILES
RP_lipids_negative
H15_BD_E.mzML
FILES
RP_lipids_negative
H15_BD_E2.mzML
FILES
RP_lipids_negative
H15_BD_E3.mzML
FILES
RP_lipids_negative
H15_BD_E4.mzML
FILES
RP_lipids_negative
H15_BD_E5.mzML
FILES
RP_lipids_negative
H16_DCM_A.mzML
FILES
RP_lipids_negative
H17_DCM_B.mzML
FILES
RP_lipids_negative
H18_DCM_C.mzML
FILES
RP_lipids_negative
H19_DCM_D.mzML
FILES
RP_lipids_negative
H1_ML_A.mzML
FILES
RP_lipids_negative
H20_DCM_E.mzML
FILES
RP_lipids_negative
H20_DCM_E2.mzML
FILES
RP_lipids_negative
H20_DCM_E3.mzML
FILES
RP_lipids_negative
H20_DCM_E4.mzML
FILES
RP_lipids_negative
H20_DCM_E5.mzML
FILES
RP_lipids_negative
H21_MTBE_A.mzML
FILES
RP_lipids_negative
H22_MTBE_B.mzML
FILES
RP_lipids_negative
H23_MTBE_C.mzML
FILES
RP_lipids_negative
H24_MTBE_E.mzML
FILES
RP_lipids_negative
H24_MTBE_E2.mzML
FILES
RP_lipids_negative
H24_MTBE_E3.mzML
FILES
RP_lipids_negative
H24_MTBE_E4.mzML
FILES
RP_lipids_negative
H24_MTBE_E5.mzML
FILES
RP_lipids_negative
H25_MTBE_D.mzML
FILES
RP_lipids_negative
H2_ML_B.mzML
FILES
RP_lipids_negative
H3_ML_C.mzML
FILES
RP_lipids_negative
H4_ML_D.mzML
FILES
RP_lipids_negative
H5_ML_E.mzML
FILES
RP_lipids_negative
H5_ML_E2.mzML
FILES
RP_lipids_negative
H5_ML_E3.mzML
FILES
RP_lipids_negative
H5_ML_E4.mzML
FILES
RP_lipids_negative
H5_ML_E5.mzML
FILES
RP_lipids_negative
K11_BD_A.mzML
FILES
RP_lipids_negative
K12_BD_B.mzML
FILES
RP_lipids_negative
K13_BD_C.mzML
FILES
RP_lipids_negative
K14_BD_D.mzML
FILES
RP_lipids_negative
K15_BD_E.mzML
FILES
RP_lipids_negative
K15_BD_E2.mzML
FILES
RP_lipids_negative
K15_BD_E3.mzML
FILES
RP_lipids_negative
K15_BD_E4.mzML
FILES
RP_lipids_negative
K15_BD_E5.mzML
FILES
RP_lipids_negative
K16_DCM_A.mzML
FILES
RP_lipids_negative
K17_DCM_B.mzML
FILES
RP_lipids_negative
K18_DCM_C.mzML
FILES
RP_lipids_negative
K19_DCM_D.mzML
FILES
RP_lipids_negative
K1_ML_A.mzML
FILES
RP_lipids_negative
K20_DCM_E.mzML
FILES
RP_lipids_negative
K20_DCM_E2.mzML
FILES
RP_lipids_negative
K20_DCM_E3.mzML
FILES
RP_lipids_negative
K20_DCM_E4.mzML
FILES
RP_lipids_negative
K20_DCM_E5.mzML
FILES
RP_lipids_negative
K21_MTBE_A.mzML
FILES
RP_lipids_negative
K22_MTBE_B.mzML
FILES
RP_lipids_negative
K23_MTBE_C.mzML
FILES
RP_lipids_negative
K24_MTBE_D.mzML
FILES
RP_lipids_negative
K25_MTBE_E.mzML
FILES
RP_lipids_negative
K25_MTBE_E2.mzML
FILES
RP_lipids_negative
K25_MTBE_E3.mzML
FILES
RP_lipids_negative
K25_MTBE_E4.mzML
FILES
RP_lipids_negative
K25_MTBE_E5.mzML
FILES
RP_lipids_negative
K2_ML_B.mzML
FILES
RP_lipids_negative
K3_ML_C.mzML
FILES
RP_lipids_negative
K4_ML_D.mzML
FILES
RP_lipids_negative
K5_ML_E.mzML
FILES
RP_lipids_negative
K5_ML_E2.mzML
FILES
RP_lipids_negative
K5_ML_E3.mzML
FILES
RP_lipids_negative
K5_ML_E4.mzML
FILES
RP_lipids_negative
K5_ML_E5.mzML
FILES
RP_lipids_negative
L11_BD_A.mzML
FILES
RP_lipids_negative
L12_BD_B.mzML
FILES
RP_lipids_negative
L13_BD_C.mzML
FILES
RP_lipids_negative
L14_BD_D.mzML
FILES
RP_lipids_negative
L15_BD_E.mzML
FILES
RP_lipids_negative
L15_BD_E2.mzML
FILES
RP_lipids_negative
L15_BD_E3.mzML
FILES
RP_lipids_negative
L15_BD_E4.mzML
FILES
RP_lipids_negative
L15_BD_E5.mzML
FILES
RP_lipids_negative
L16_DCM_A.mzML
FILES
RP_lipids_negative
L17_DCM_B.mzML
FILES
RP_lipids_negative
L18_DCM_C.mzML
FILES
RP_lipids_negative
L19_DCM_D.mzML
FILES
RP_lipids_negative
L1_ML_A.mzML
FILES
RP_lipids_negative
L20_DCM_E.mzML
FILES
RP_lipids_negative
L20_DCM_E2.mzML
FILES
RP_lipids_negative
L20_DCM_E3.mzML
FILES
RP_lipids_negative
L20_DCM_E4.mzML
FILES
RP_lipids_negative
L20_DCM_E5.mzML
FILES
RP_lipids_negative
L21_MTBE_A.mzML
FILES
RP_lipids_negative
L22_MTBE_B.mzML
FILES
RP_lipids_negative
L23_MTBE_C.mzML
FILES
RP_lipids_negative
L24_MTBE_D.mzML
FILES
RP_lipids_negative
L25_MTBE_E.mzML
FILES
RP_lipids_negative
L25_MTBE_E2.mzML
FILES
RP_lipids_negative
L25_MTBE_E3.mzML
FILES
RP_lipids_negative
L25_MTBE_E4.mzML
FILES
RP_lipids_negative
L25_MTBE_E5.mzML
FILES
RP_lipids_negative
L2_ML_B.mzML
FILES
RP_lipids_negative
L3_ML_C.mzML
FILES
RP_lipids_negative
L4_ML_D.mzML
FILES
RP_lipids_negative
L5_ML_E.mzML
FILES
RP_lipids_negative
L5_ML_E2.mzML
FILES
RP_lipids_negative
L5_ML_E3.mzML
FILES
RP_lipids_negative
L5_ML_E4.mzML
FILES
RP_lipids_negative
L5_ML_E5.mzML
FILES
RP_lipids_negative
QC1.mzML
FILES
RP_lipids_negative
QC10.mzML
FILES
RP_lipids_negative
QC11.mzML
FILES
RP_lipids_negative
QC12.mzML
FILES
RP_lipids_negative
QC13.mzML
FILES
RP_lipids_negative
QC14.mzML
FILES
RP_lipids_negative
QC15.mzML
FILES
RP_lipids_negative
QC16.mzML
FILES
RP_lipids_negative
QC17.mzML
FILES
RP_lipids_negative
QC18.mzML
FILES
RP_lipids_negative
QC19.mzML
FILES
RP_lipids_negative
QC2.mzML
FILES
RP_lipids_negative
QC20.mzML
FILES
RP_lipids_negative
QC21.mzML
FILES
RP_lipids_negative
QC22.mzML
FILES
RP_lipids_negative
QC23.mzML
FILES
RP_lipids_negative
QC24_MSMS_150_650.mzML
FILES
RP_lipids_negative
QC25_MSMS_650_750.mzML
FILES
RP_lipids_negative
QC26_MSMS_750_850.mzML
FILES
RP_lipids_negative
QC27_MSMS_850_950.mzML
FILES
RP_lipids_negative
QC28_MSMS_950_2000.mzML
FILES
RP_lipids_negative
QC3.mzML
FILES
RP_lipids_negative
QC4.mzML
FILES
RP_lipids_negative
QC5.mzML
FILES
RP_lipids_negative
QC6.mzML
FILES
RP_lipids_negative
QC7.mzML
FILES
RP_lipids_negative
QC8.mzML
FILES
RP_lipids_negative
QC9.mzML
FILES
RP_lipids_positive
Blank_BD.mzML
FILES
RP_lipids_positive
Blank_DCM.mzML
FILES
RP_lipids_positive
Blank_ML.mzML
FILES
RP_lipids_positive
Blank_ML_start.mzML
FILES
RP_lipids_positive
Blank_MTBE.mzML
FILES
RP_lipids_positive
H11_BD_A.mzML
FILES
RP_lipids_positive
H12_BD_B.mzML
FILES
RP_lipids_positive
H13_BD_C.mzML
FILES
RP_lipids_positive
H14_BD_D.mzML
FILES
RP_lipids_positive
H15_BD_E.mzML
FILES
RP_lipids_positive
H15_BD_E2.mzML
FILES
RP_lipids_positive
H15_BD_E3.mzML
FILES
RP_lipids_positive
H15_BD_E4.mzML
FILES
RP_lipids_positive
H15_BD_E5.mzML
FILES
RP_lipids_positive
H16_DCM_A.mzML
FILES
RP_lipids_positive
H17_DCM_B.mzML
FILES
RP_lipids_positive
H18_DCM_C.mzML
FILES
RP_lipids_positive
H19_DCM_D.mzML
FILES
RP_lipids_positive
H1_ML_A.mzML
FILES
RP_lipids_positive
H20_DCM_E.mzML
FILES
RP_lipids_positive
H20_DCM_E2.mzML
FILES
RP_lipids_positive
H20_DCM_E3.mzML
FILES
RP_lipids_positive
H20_DCM_E4.mzML
FILES
RP_lipids_positive
H20_DCM_E5.mzML
FILES
RP_lipids_positive
H21_MTBE_A.mzML
FILES
RP_lipids_positive
H22_MTBE_B.mzML
FILES
RP_lipids_positive
H23_MTBE_C.mzML
FILES
RP_lipids_positive
H24_MTBE_E.mzML
FILES
RP_lipids_positive
H24_MTBE_E2.mzML
FILES
RP_lipids_positive
H24_MTBE_E3.mzML
FILES
RP_lipids_positive
H24_MTBE_E4.mzML
FILES
RP_lipids_positive
H24_MTBE_E5.mzML
FILES
RP_lipids_positive
H25_MTBE_D.mzML
FILES
RP_lipids_positive
H2_ML_B.mzML
FILES
RP_lipids_positive
H3_ML_C.mzML
FILES
RP_lipids_positive
H4_ML_D.mzML
FILES
RP_lipids_positive
H5_ML_E.mzML
FILES
RP_lipids_positive
H5_ML_E2.mzML
FILES
RP_lipids_positive
H5_ML_E3.mzML
FILES
RP_lipids_positive
H5_ML_E4.mzML
FILES
RP_lipids_positive
H5_ML_E5.mzML
FILES
RP_lipids_positive
K11_BD_A.mzML
FILES
RP_lipids_positive
K12_BD_B.mzML
FILES
RP_lipids_positive
K13_BD_C.mzML
FILES
RP_lipids_positive
K14_BD_D.mzML
FILES
RP_lipids_positive
K15_BD_E.mzML
FILES
RP_lipids_positive
K15_BD_E2.mzML
FILES
RP_lipids_positive
K15_BD_E3.mzML
FILES
RP_lipids_positive
K15_BD_E4.mzML
FILES
RP_lipids_positive
K15_BD_E5.mzML
FILES
RP_lipids_positive
K16_DCM_A.mzML
FILES
RP_lipids_positive
K17_DCM_B.mzML
FILES
RP_lipids_positive
K18_DCM_C.mzML
FILES
RP_lipids_positive
K19_DCM_D.mzML
FILES
RP_lipids_positive
K1_ML_A.mzML
FILES
RP_lipids_positive
K20_DCM_E.mzML
FILES
RP_lipids_positive
K20_DCM_E2.mzML
FILES
RP_lipids_positive
K20_DCM_E3.mzML
FILES
RP_lipids_positive
K20_DCM_E4.mzML
FILES
RP_lipids_positive
K20_DCM_E5.mzML
FILES
RP_lipids_positive
K21_MTBE_A.mzML
FILES
RP_lipids_positive
K22_MTBE_B.mzML
FILES
RP_lipids_positive
K23_MTBE_C.mzML
FILES
RP_lipids_positive
K24_MTBE_D.mzML
FILES
RP_lipids_positive
K25_MTBE_E.mzML
FILES
RP_lipids_positive
K25_MTBE_E2.mzML
FILES
RP_lipids_positive
K25_MTBE_E3.mzML
FILES
RP_lipids_positive
K25_MTBE_E4.mzML
FILES
RP_lipids_positive
K25_MTBE_E5.mzML
FILES
RP_lipids_positive
K2_ML_B.mzML
FILES
RP_lipids_positive
K3_ML_C.mzML
FILES
RP_lipids_positive
K4_ML_D.mzML
FILES
RP_lipids_positive
K5_ML_E.mzML
FILES
RP_lipids_positive
K5_ML_E2.mzML
FILES
RP_lipids_positive
K5_ML_E3.mzML
FILES
RP_lipids_positive
K5_ML_E4.mzML
FILES
RP_lipids_positive
K5_ML_E5.mzML
FILES
RP_lipids_positive
L11_BD_A.mzML
FILES
RP_lipids_positive
L12_BD_B.mzML
FILES
RP_lipids_positive
L13_BD_C.mzML
FILES
RP_lipids_positive
L14_BD_D.mzML
FILES
RP_lipids_positive
L15_BD_E.mzML
FILES
RP_lipids_positive
L15_BD_E2.mzML
FILES
RP_lipids_positive
L15_BD_E3.mzML
FILES
RP_lipids_positive
L15_BD_E4.mzML
FILES
RP_lipids_positive
L15_BD_E5.mzML
FILES
RP_lipids_positive
L16_DCM_A.mzML
FILES
RP_lipids_positive
L17_DCM_B.mzML
FILES
RP_lipids_positive
L18_DCM_C.mzML
FILES
RP_lipids_positive
L19_DCM_D.mzML
FILES
RP_lipids_positive
L1_ML_A.mzML
FILES
RP_lipids_positive
L20_DCM_E.mzML
FILES
RP_lipids_positive
L20_DCM_E2.mzML
FILES
RP_lipids_positive
L20_DCM_E3.mzML
FILES
RP_lipids_positive
L20_DCM_E4.mzML
FILES
RP_lipids_positive
L20_DCM_E5.mzML
FILES
RP_lipids_positive
L21_MTBE_A.mzML
FILES
RP_lipids_positive
L22_MTBE_B.mzML
FILES
RP_lipids_positive
L23_MTBE_C.mzML
FILES
RP_lipids_positive
L24_MTBE_D.mzML
FILES
RP_lipids_positive
L25_MTBE_E.mzML
FILES
RP_lipids_positive
L25_MTBE_E2.mzML
FILES
RP_lipids_positive
L25_MTBE_E3.mzML
FILES
RP_lipids_positive
L25_MTBE_E4.mzML
FILES
RP_lipids_positive
L25_MTBE_E5.mzML
FILES
RP_lipids_positive
L2_ML_B.mzML
FILES
RP_lipids_positive
L3_ML_C.mzML
FILES
RP_lipids_positive
L4_ML_D.mzML
FILES
RP_lipids_positive
L5_ML_E.mzML
FILES
RP_lipids_positive
L5_ML_E2.mzML
FILES
RP_lipids_positive
L5_ML_E3.mzML
FILES
RP_lipids_positive
L5_ML_E4.mzML
FILES
RP_lipids_positive
L5_ML_E5.mzML
FILES
RP_lipids_positive
QC1.mzML
FILES
RP_lipids_positive
QC10.mzML
FILES
RP_lipids_positive
QC11.mzML
FILES
RP_lipids_positive
QC12.mzML
FILES
RP_lipids_positive
QC13.mzML
FILES
RP_lipids_positive
QC14.mzML
FILES
RP_lipids_positive
QC15.mzML
FILES
RP_lipids_positive
QC16.mzML
FILES
RP_lipids_positive
QC17.mzML
FILES
RP_lipids_positive
QC18.mzML
FILES
RP_lipids_positive
QC19.mzML
FILES
RP_lipids_positive
QC2.mzML
FILES
RP_lipids_positive
QC20.mzML
FILES
RP_lipids_positive
QC21.mzML
FILES
RP_lipids_positive
QC22.mzML
FILES
RP_lipids_positive
QC23.mzML
FILES
RP_lipids_positive
QC24_MSMS_150_650.mzML
FILES
RP_lipids_positive
QC25_MSMS_650_750.mzML
FILES
RP_lipids_positive
QC26_MSMS_750_850.mzML
FILES
RP_lipids_positive
QC27_MSMS_850_950.mzML
FILES
RP_lipids_positive
QC28_MSMS_950_2000.mzML
FILES
RP_lipids_positive
QC3.mzML
FILES
RP_lipids_positive
QC4.mzML
FILES
RP_lipids_positive
QC5.mzML
FILES
RP_lipids_positive
QC6.mzML
FILES
RP_lipids_positive
QC7.mzML
FILES
RP_lipids_positive
QC8.mzML
FILES
RP_lipids_positive
QC9.mzML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Samples_Term Source REF.12
IGNORED:  row_id
IGNORED:  Samples_Injection Replicate
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Extraction Solvent 3 Volume Per Unit Volume
IGNORED:  Samples_Extraction Solvent 1 Volume Per Unit Volume
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Extraction Solvent 2 Volume Percentage
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Detector mode
IGNORED:  Samples_Term Source REF.16
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Inlet type
IGNORED:  Samples_Sample Preparation Replicate
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Samples_Term Source REF.7
IGNORED:  Samples_Extraction Type
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Extraction Solvent 2 Volume Per Unit Volume
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Extraction Solvent 1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Extraction Solvent 1 Volume Percentage
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Extraction Solvent 3 Volume Percentage
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Samples_Term Accession Number.16
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Extraction Solvent 2
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Unit.5
IGNORED:  Samples_Sample Type
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Samples_Extraction Solvent 3
IGNORED:  Assay_Unit.1
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Assay_Injection Order
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 562 rows!
Added 562 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS172
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1720
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10_MESO_C18_SPE-276_MS2_A_P_20200304_0606.CDF
FILES
11_MESO_C18_SPE-276_MS2_A_P_20200205_701.CDF
FILES
12_MESO_C18_SPE-276_MS2_A_P_20200304_0607.CDF
FILES
13_MESO_C18_SPE-262_MS2_A_P_20191208_1705.CDF
FILES
14_MESO_C18_SPE-276_MS2_A_N_20200304_0506.CDF
FILES
14_MESO_C18_SPE-276_MS2_A_P_20200304_0610.CDF
FILES
14_VICE_GS115_C18_587_MS2_A_N_20200419_0311.CDF
FILES
16_MESO_C18_SPE-262_MS2_A_P_20191208_1706.CDF
FILES
16_MESO_C18_SPE-276_MS2_A_N_20200304_0507.CDF
FILES
21_MESO_C18_SPE-276_MS2_A_N_20200304_0501.CDF
FILES
21_VICE_GS115_C18_587_MS2_A_N_20200419_0301.CDF
FILES
23_VICE_GS115_C18_580_MS2_A_N_20200419_0204.CDF
FILES
24_VICE_GS115_C18_587_MS2_A_N_20200419_0303.CDF
FILES
25_VICE_GS115_C18_587_MS2_A_N_20200419_0305.CDF
FILES
26_VICE_GS115_C18_580_MS2_A_N_20200419_0207.CDF
FILES
27_VICE_GS115_C18_587_MS2_A_N_20200419_0308.CDF
FILES
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IGNORED:  Samples_Term Source REF.11
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IGNORED:  Samples_Term Accession Number.7/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 24%|██▍       | 395/1662 [45:28<2:27:22,  6.98s/it]
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
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IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 20
Returning 165 rows!
Added 165 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1129
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 264 rows!
Added 264 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS174
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2382
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Polar_94_pos.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 1413 rows!
Added 1413 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2384
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2387
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS239
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2394
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA08POL20190305_UPIT0219VWCLP_HUMAN_PLASMA1_23.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Induction point
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Time Point
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 382 rows!
Added 382 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2396
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2397
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IN-07032017-pHILIC-Spain-Liver-856.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Gene knockout
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  keep
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 71 rows!
Added 71 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2398
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Biological replicate
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Samples_Term Source REF.9
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IGNORED:  keep
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IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Term Source REF.8
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Stool donor
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
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Number of rows removed due to not enough metadata: 0
Returning 897 rows!
Added 897 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS24
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS240
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2400
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Mass analyzer
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Number of rows removed due to not enough metadata: 0
Returning 309 rows!
Added 309 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2401
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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20182108_025_NEG_4_IMGT.mzML
FILES
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20182108_026_NEG_36_IBGT.mzML
FILES
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20182108_027_NEG_QC.mzML
FILES
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20182108_028_NEG_23_IMGC.mzML
FILES
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NEG
20182108_029_NEG_37_CBGC.mzML
FILES
DERIVED_FILES
NEG
20182108_030_NEG_1_IMGC.mzML
FILES
DERIVED_FILES
NEG
20182108_031_NEG_21_IMGC.mzML
FILES
DERIVED_FILES
NEG
20182108_032_NEG_2_IMGC.mzML
FILES
DERIVED_FILES
NEG
20182108_033_NEG_30_CMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_034_NEG_QC.mzML
FILES
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NEG
20182108_035_NEG_24_IMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_036_NEG_26_IMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_037_NEG_29_CMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_038_NEG_10_CMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_039_NEG_5_IMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_040_NEG_3_IMGC.mzML
FILES
DERIVED_FILES
NEG
20182108_041_NEG_QC.mzML
FILES
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NEG
20182108_042_NEG_11_IBGC.mzML
FILES
DERIVED_FILES
NEG
20182108_043_NEG_22_IMGC.mzML
FILES
DERIVED_FILES
NEG
20182108_044_NEG_31_IBGC.mzML
FILES
DERIVED_FILES
NEG
20182108_045_NEG_6_IMGT.mzML
FILES
DERIVED_FILES
NEG
20182108_046_NEG_28_CMGC.mzML
FILES
DERIVED_FILES
NEG
20182108_047_NEG_17_CBGC.mzML
FILES
DERIVED_FILES
NEG
20182108_048_NEG_QC.mzML
FILES
DERIVED_FILES
POS
20182208_001_POS_Black_.mzML
FILES
DERIVED_FILES
POS
20182208_002_POS_QC_.mzML
FILES
DERIVED_FILES
POS
20182208_003_POS_QC_.mzML
FILES
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POS
20182208_004_POS_QC_.mzML
FILES
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POS
20182208_005_POS_QC_.mzML
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DERIVED_FILES
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DERIVED_FILES
POS
20182208_007_POS_27_CMGC.mzML
FILES
DERIVED_FILES
POS
20182208_008_POS_20_CBGT.mzML
FILES
DERIVED_FILES
POS
20182208_009_POS_12_IBGC.mzML
FILES
DERIVED_FILES
POS
20182208_010_POS_19_CBGT.mzML
FILES
DERIVED_FILES
POS
20182208_011_POS_39_CBGT.mzML
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POS
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20182208_014_POS_40_CBGT.mzML
FILES
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20182208_016_POS_34_IBGT.mzML
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20182208_017_POS_18_CBGC.mzML
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POS
20182208_021_POS_14_IBGT.mzML
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POS
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FILES
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POS
20182208_024_POS_4_IMGT.mzML
FILES
DERIVED_FILES
POS
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FILES
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POS
20182208_026_POS_QC_.mzML
FILES
DERIVED_FILES
POS
20182208_029_POS_1_IMGC.mzML
FILES
DERIVED_FILES
POS
20182208_030_POS_21_IMGC.mzML
FILES
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FILES
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FILES
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20182208_039_POS_3_IMGC.mzML
FILES
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POS
20182208_040_POS_QC_.mzML
FILES
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POS
20182208_041_POS_11_IBGC.mzML
FILES
DERIVED_FILES
POS
20182208_042_POS_22_IMGC.mzML
FILES
DERIVED_FILES
POS
20182208_043_POS_31_IBGC.mzML
FILES
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POS
20182208_044_POS_6_IMGT.mzML
FILES
DERIVED_FILES
POS
20182208_045_POS_28_CMGC.mzML
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POS
20182208_046_POS_17_CBGC.mzML
FILES
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POS
20182208_047_POS_QC_.mzML
FILES
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POS
20182208_048_POS_7_CMGC.mzML
FILES
DERIVED_FILES
POS
20182208_049_POS_33_IBGC.mzML
FILES
DERIVED_FILES
POS
20182208_050_POS_35_IBGT.mzML
FILES
DERIVED_FILES
POS
20182208_051_POS_32_IBGC.mzML
FILES
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POS
20182208_052_POS_QC_.mzML
FILES
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POS
20182208_053_POS_23_IMGC.mzML
FILES
DERIVED_FILES
POS
20182208_054_POS_37_CBGC.mzML
FILES
DERIVED_FILES
POS
20182208_057_POS_2_IMGC2.mzML
FILES
DERIVED_FILES
POS
20182208_060_POS_24_IMGT.mzML
FILES
DERIVED_FILES
POS
20182208_061_POS_26_IMGT.mzML
FILES
DERIVED_FILES
POS
20182208_064_POS_5_IMGT.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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Number of rows removed due to not enough metadata: 0
Returning 99 rows!
Added 99 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2402
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
mzml_negative
190928-10_S9-SPE-Neg-MS1DD_Flufenacet_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190928-11_S9-SPE-Neg-MS1DD_Metolachlor_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190928-12_S9-SPE-Neg-MS1DD_Metolachlor_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-13_S9-SPE-Neg-MS1DD_Chlorpyriphos_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-14_S9-SPE-Neg-MS1DD_Blank4.mzML
FILES
DERIVED_FILES
mzml_negative
190928-15_S9-SPE-Neg-MS1DD_NC3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-16_S9-SPE-Neg-MS1DD_Metamitron_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190928-17_S9-SPE-Neg-MS1DD_Metamitron_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-18_S9-SPE-Neg-MS1DD_Pendimethalin_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190928-19_S9-SPE-Neg-MS1DD_Chlortoluron_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-20_S9-SPE-Neg-MS1DD_Blank5.mzML
FILES
DERIVED_FILES
mzml_negative
190928-21_S9-SPE-Neg-MS1DD_Diflufenican_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-22_S9-SPE-Neg-MS1DD_Dimethenamid_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190928-23_S9-SPE-Neg-MS1DD_Diflufenican_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190928-24_S9-SPE-Neg-MS1DD_Cypermethrin_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190928-25_S9-SPE-Neg-MS1DD_Pendimethalin_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190928-26_S9-SPE-Neg-MS1DD_Blank6.mzML
FILES
DERIVED_FILES
mzml_negative
190928-27_S9-SPE-Neg-MS1DD_Terbutryn_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190928-28_S9-SPE-Neg-MS1DD_Picolinafen_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190928-29_S9-SPE-Neg-MS1DD_NC6.mzML
FILES
DERIVED_FILES
mzml_negative
190928-30_S9-SPE-Neg-MS1DD_Cypermethrin_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-31_S9-SPE-Neg-MS1DD_Chlortoluron_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190928-32_S9-SPE-Neg-MS1DD_Blank7.mzML
FILES
DERIVED_FILES
mzml_negative
190928-33_S9-SPE-Neg-MS1DD_Flufenacet_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190928-34_S9-SPE-Neg-MS1DD_Metolachlor_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190928-35_S9-SPE-Neg-MS1DD_Terbutryn_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-36_S9-SPE-Neg-MS1DD_Atrazin_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190928-37_S9-SPE-Neg-MS1DD_Bifenox_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190928-38_S9-SPE-Neg-MS1DD_Blank8.mzML
FILES
DERIVED_FILES
mzml_negative
190928-3_S9-SPE-Neg-MS1DD_Bifenox_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190928-4_S9-SPE-Neg-MS1DD_NC4.mzML
FILES
DERIVED_FILES
mzml_negative
190928-5_S9-SPE-Neg-MS1DD_Atrazin_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-6_S9-SPE-Neg-MS1DD_Terbutryn_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190928-7_S9-SPE-Neg-MS1DD_Metolachlor_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190928-8_S9-SPE-Neg-MS1DD_Blank3.mzML
FILES
DERIVED_FILES
mzml_negative
190928-9_S9-SPE-Neg-MS1DD_Isoproturon_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-10_S9-SPE-Neg-MS1DD_Fenpropimorph_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-11_S9-SPE-Neg-MS1DD_Atrazin_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-12_S9-SPE-Neg-MS1DD_Blank14.mzML
FILES
DERIVED_FILES
mzml_negative
190929-13_S9-SPE-Neg-MS1DD_Terbuthylazin_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-14_S9-SPE-Neg-MS1DD_Metazachlor_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-15_S9-SPE-Neg-MS1DD_Imidacloprid_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-16_S9-SPE-Neg-MS1DD_Imidacloprid_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-17_S9-SPE-Neg-MS1DD_24D_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-21_S9-SPE-Neg-MS1DD_Chlortoluron_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-22_S9-SPE-Neg-MS1DD_Isoproturon_R2.mzML
FILES
DERIVED_FILES
mzml_negative
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FILES
DERIVED_FILES
mzml_negative
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FILES
DERIVED_FILES
mzml_negative
190929-25_S9-SPE-Neg-MS1DD_B2.mzML
FILES
DERIVED_FILES
mzml_negative
190929-26_S9-SPE-Neg-MS1DD_24D_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-27_S9-SPE-Neg-MS1DD_Chlorpyriphos_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-28_S9-SPE-Neg-MS1DD_Imidacloprid_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-29_S9-SPE-Neg-MS1DD_Dimethenamid_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-2_S9-SPE-Neg-MS1DD_Blank12.mzML
FILES
DERIVED_FILES
mzml_negative
190929-30_S9-SPE-Neg-MS1DD_Cypermethrin_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-31_S9-SPE-Neg-MS1DD_Blank3.mzML
FILES
DERIVED_FILES
mzml_negative
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FILES
DERIVED_FILES
mzml_negative
190929-33_S9-SPE-Neg-MS1DD_Bifenox_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190929-34_S9-SPE-Neg-MS1DD_Bifenox_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-35_S9-SPE-Neg-MS1DD_Flufenacet_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-36_S9-SPE-Neg-MS1DD_Picolinafen_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-37_S9-SPE-Neg-MS1DD_Blank4.mzML
FILES
DERIVED_FILES
mzml_negative
190929-38_S9-SPE-Neg-MS1DD_Metazachlor_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190929-39_S9-SPE-Neg-MS1DD_Fipronil_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190929-3_S9-SPE-Neg-MS1DD_NC5.mzML
FILES
DERIVED_FILES
mzml_negative
190929-40_S9-SPE-Neg-MS1DD_B1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-41_S9-SPE-Neg-MS1DD_Isoproturon_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-42_S9-SPE-Neg-MS1DD_Chlortoluron_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190929-43_S9-SPE-Neg-MS1DD_Blank5.mzML
FILES
DERIVED_FILES
mzml_negative
190929-4_S9-SPE-Neg-MS1DD_Azoxystrobin_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-5_S9-SPE-Neg-MS1DD_24D_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-6_S9-SPE-Neg-MS1DD_Terbuthylazin_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190929-7_S9-SPE-Neg-MS1DD_Blank13.mzML
FILES
DERIVED_FILES
mzml_negative
190929-8_S9-SPE-Neg-MS1DD_Fipronil_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190929-9_S9-SPE-Neg-MS1DD_Pendimethalin_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190930-10_S9-SPE-Neg-MS1DD_Diflufenican_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-11_S9-SPE-Neg-MS1DD_Fenpropimorph_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190930-12_S9-SPE-Neg-MS1DD_Chlorpyriphos_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-13_S9-SPE-Neg-MS1DD_Dimethoat_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-14_S9-SPE-Neg-MS1DD_Blank14.mzML
FILES
DERIVED_FILES
mzml_negative
190930-15_S9-SPE-Neg-MS1DD_Dimethoat_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190930-16_S9-SPE-Neg-MS1DD_Metazachlor_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-17_S9-SPE-Neg-MS1DD_Atrazin_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-18_S9-SPE-Neg-MS1DD_Azoxystrobin_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190930-19_S9-SPE-Neg-MS1DD_Azoxystrobin_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-20_S9-SPE-Neg-MS1DD_Blank15.mzML
FILES
DERIVED_FILES
mzml_negative
190930-21_S9-SPE-Neg-MS1DD_Metazachlor_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190930-22_S9-SPE-Neg-MS1DD_Isoproturon_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-23_S9-SPE-Neg-MS1DD_Dimethenamid_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190930-24_S9-SPE-Neg-MS1DD_Terbuthylazin_R3.mzML
FILES
DERIVED_FILES
mzml_negative
190930-25_S9-SPE-Neg-MS1DD_Fipronil_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190930-26_S9-SPE-Neg-MS1DD_Terbutryn_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190930-27_S9-SPE-Neg-MS1DD_Blank16.mzML
FILES
DERIVED_FILES
mzml_negative
190930-28_S9-SPE-Neg-MS1DD_Imidacloprid_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190930-29_S9-SPE-Neg-MS1DD_Fipronil_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-2_S9-SPE-Neg-MS1DD_Blank12.mzML
FILES
DERIVED_FILES
mzml_negative
190930-30_S9-SPE-Neg-MS1DD_Fenpropimorph_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-31_S9-SPE-Neg-MS1DD_Chlorpyriphos_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190930-32_S9-SPE-Neg-MS1DD_24D_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190930-33_S9-SPE-Neg-MS1DID_Diflufenican_R2.mzML
FILES
DERIVED_FILES
mzml_negative
190930-34_S9-SPE-Neg-MS1DD_Blank17.mzML
FILES
DERIVED_FILES
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FILES
DERIVED_FILES
mzml_negative
190930-36_S9-SPE-Neg-MS1DD_Fenpropimorph_R2.mzML
FILES
DERIVED_FILES
mzml_negative
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FILES
DERIVED_FILES
mzml_negative
190930-38_S9-SPE-Neg-MS1DD_Metamitron_R1.mzML
FILES
DERIVED_FILES
mzml_negative
190930-39_S9-SPE-Neg-MS1DD_Picolinafen_clean.mzML
FILES
DERIVED_FILES
mzml_negative
190930-3_S9-SPE-Neg-MS1DD_Flufenacet_clean.mzML
FILES
DERIVED_FILES
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FILES
DERIVED_FILES
mzml_negative
190930-41_S9-SPE-Neg-MS1DD_Blank18.mzML
FILES
DERIVED_FILES
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190930-4_S9-SPE-Neg-MS1DD_Terbuthylazin_R2.mzML
FILES
DERIVED_FILES
mzml_negative
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
mzml_positive
190925-11_S9-SPE-Pos-MS1DD_Metolachlor_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190925-12_S9-SPE-Pos-MS1DD_Metolachlor_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-13_S9-SPE-Pos-MS1DD_Chlorpyriphos_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-14_S9-SPE-Pos-MS1DD_Blank4.mzML
FILES
DERIVED_FILES
mzml_positive
190925-15_S9-SPE-Pos-MS1DD_NC3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-16_S9-SPE-Pos-MS1DD_Metamitron_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190925-17_S9-SPE-Pos-MS1DD_Metamitron_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-18_S9-SPE-Pos-MS1DD_Pendimethalin_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190925-19_S9-SPE-Pos-MS1DD_Chlortoluron_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-20_S9-SPE-Pos-MS1DD_Blank5.mzML
FILES
DERIVED_FILES
mzml_positive
190925-21_S9-SPE-Pos-MS1DD_Diflufenican_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-22_S9-SPE-Pos-MS1DD_Dimethenamid_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190925-23_S9-SPE-Pos-MS1DD_Diflufenican_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190925-24_S9-SPE-Pos-MS1DD_Cypermethrin_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190925-25_S9-SPE-Pos-MS1DD_Pendimethalin_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190925-26_S9-SPE-Pos-MS1DD_Blank6.mzML
FILES
DERIVED_FILES
mzml_positive
190925-27_S9-SPE-Pos-MS1DD_Terbutryn_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190925-28_S9-SPE-Pos-MS1DD_Picolinafen_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190925-29_S9-SPE-Pos-MS1DD_NC6.mzML
FILES
DERIVED_FILES
mzml_positive
190925-30_S9-SPE-Pos-MS1DD_Cypermethrin_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-31_S9-SPE-Pos-MS1DD_Chlortoluron_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190925-32_S9-SPE-Pos-MS1DD_Blank7.mzML
FILES
DERIVED_FILES
mzml_positive
190925-33_S9-SPE-Pos-MS1DD_Flufenacet_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190925-34_S9-SPE-Pos-MS1DD_Metolachlor_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190925-35_S9-SPE-Pos-MS1DD_Terbutryn_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-36_S9-SPE-Pos-MS1DD_Atrazin_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190925-37_S9-SPE-Pos-MS1DD_Bifenox_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190925-38_S9-SPE-Pos-MS1DD_Blank8.mzML
FILES
DERIVED_FILES
mzml_positive
190925-3_S9-SPE-Pos-MS1DD_Bifenox_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190925-4_S9-SPE-Pos-MS1DD_NC4.mzML
FILES
DERIVED_FILES
mzml_positive
190925-5_S9-SPE-Pos-MS1DD_Atrazin_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-6_S9-SPE-Pos-MS1DD_Terbutryn_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190925-7_S9-SPE-Pos-MS1DD_Metolachlor_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190925-8_S9-SPE-Pos-MS1DD_Blank3.mzML
FILES
DERIVED_FILES
mzml_positive
190925-9_S9-SPE-Pos-MS1DD_Isoproturon_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-10_S9-SPE-Pos-MS1DD_Fenpropimorph_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-11_S9-SPE-Pos-MS1DD_Atrazin_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-12_S9-SPE-Pos-MS1DD_Blank14.mzML
FILES
DERIVED_FILES
mzml_positive
190926-13_S9-SPE-Pos-MS1DD_Terbuthylazin_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-14_S9-SPE-Pos-MS1DD_Metazachlor_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-15_S9-SPE-Pos-MS1DD_Imidacloprid_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-16_S9-SPE-Pos-MS1DD_Imidacloprid_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-17_S9-SPE-Pos-MS1DD_24D_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-17_S9-SPE-Pos-MS1DD_Blank2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-18_S9-SPE-Pos-MS1DD_Chlortoluron_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-19_S9-SPE-Pos-MS1DD_Isoproturon_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-20_S9-SPE-Pos-MS1DD_NC1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-21_S9-SPE-Pos-MS1DD_Pendimethalin_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-22_S9-SPE-Pos-MS1DD_B2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-23_S9-SPE-Pos-MS1DD_24D_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-24_S9-SPE-Pos-MS1DD_Chlorpyriphos_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-25_S9-SPE-Pos-MS1DD_Imidacloprid_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-26_S9-SPE-Pos-MS1DD_Dimethenamid_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-27_S9-SPE-Pos-MS1DD_Cypermethrin_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-28_S9-SPE-Pos-MS1DD_Blank3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-29_S9-SPE-Pos-MS1DD_Azoxystrobin_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-30_S9-SPE-Pos-MS1DD_Bifenox_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-31_S9-SPE-Pos-MS1DD_Bifenox_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-32_S9-SPE-Pos-MS1DD_Flufenacet_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-33_S9-SPE-Pos-MS1DD_Picolinafen_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-34_S9-SPE-Pos-MS1DD_Blank4.mzML
FILES
DERIVED_FILES
mzml_positive
190926-35_S9-SPE-Pos-MS1DD_Metazachlor_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-36_S9-SPE-Pos-MS1DD_Fipronil_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190926-37_S9-SPE-Pos-MS1DD_B1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-38_S9-SPE-Pos-MS1DD_Isoproturon_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-39_S9-SPE-Pos-MS1DD_Chlortoluron_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190926-3_S9-SPE-Pos-MS1DD_NC5.mzML
FILES
DERIVED_FILES
mzml_positive
190926-4_S9-SPE-Pos-MS1DD_Azoxystrobin_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-5_S9-SPE-Pos-MS1DD_24D_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-6_S9-SPE-Pos-MS1DD_Terbuthylazin_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190926-7_S9-SPE-Pos-MS1DD_Blank13.mzML
FILES
DERIVED_FILES
mzml_positive
190926-8_S9-SPE-Pos-MS1DD_Fipronil_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190926-9_S9-SPE-Pos-MS1DD_Pendimethalin_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190927-10_S9-SPE-Pos-MS1DD_Diflufenican_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-11_S9-SPE-Pos-MS1DD_Fenpropimorph_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190927-12_S9-SPE-Pos-MS1DD_Chlorpyriphos_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-13_S9-SPE-Pos-MS1DD_Dimethoat_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-14_S9-SPE-Pos-MS1DD_Blank14.mzML
FILES
DERIVED_FILES
mzml_positive
190927-15_S9-SPE-Pos-MS1DD_Dimethoat_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190927-16_S9-SPE-Pos-MS1DD_Metazachlor_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-17_S9-SPE-Pos-MS1DD_Atrazin_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-18_S9-SPE-Pos-MS1DD_Azoxystrobin_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-19_S9-SPE-Pos-MS1DD_Azoxystrobin_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-1_S9-SPE-Pos-MS1DD_Blank11.mzML
FILES
DERIVED_FILES
mzml_positive
190927-20_S9-SPE-Pos-MS1DD_Blank15.mzML
FILES
DERIVED_FILES
mzml_positive
190927-21_S9-SPE-Pos-MS1DD_Metazachlor_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190927-22_S9-SPE-Pos-MS1DD_Isoproturon_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-23_S9-SPE-Pos-MS1DD_Dimethenamid_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190927-24_S9-SPE-Pos-MS1DD_Terbuthylazin_R3.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
DERIVED_FILES
mzml_positive
190927-25_S9-SPE-Pos-MS1DD_Fipronil_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190927-26_S9-SPE-Pos-MS1DD_Terbutryn_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-27_S9-SPE-Pos-MS1DD_Blank16.mzML
FILES
DERIVED_FILES
mzml_positive
190927-28_S9-SPE-Pos-MS1DD_Imidacloprid_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-29_S9-SPE-Pos-MS1DD_Fipronil_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-2_S9-SPE-Pos-MS1DD_Blank12.mzML
FILES
DERIVED_FILES
mzml_positive
190927-30_S9-SPE-Pos-MS1DD_Fenpropimorph_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-31_S9-SPE-Pos-MS1DD_Chlorpyriphos_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-32_S9-SPE-Pos-MS1DD_24D_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-33_S9-SPE-Pos-MS1DID_Diflufenican_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-34_S9-SPE-Pos-MS1DD_Blank17.mzML
FILES
DERIVED_FILES
mzml_positive
190927-35_S9-SPE-Pos-MS1DD_Dimethoat_R3.mzML
FILES
DERIVED_FILES
mzml_positive
190927-36_S9-SPE-Pos-MS1DD_Fenpropimorph_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-37_S9-SPE-Pos-MS1DD_Dimethoat_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-38_S9-SPE-Pos-MS1DD_Metamitron_R1.mzML
FILES
DERIVED_FILES
mzml_positive
190927-39_S9-SPE-Pos-MS1DD_Picolinafen_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190927-3_S9-SPE-Pos-MS1DD_Flufenacet_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190927-40_S9-SPE-Pos-MS1DD_Cypermethrin_clean.mzML
FILES
DERIVED_FILES
mzml_positive
190927-41_S9-SPE-Pos-MS1DD_Blank18.mzML
FILES
DERIVED_FILES
mzml_positive
190927-4_S9-SPE-Pos-MS1DD_Terbuthylazin_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-5_S9-SPE-Pos-MS1DD_NC2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-6_S9-SPE-Pos-MS1DD_Dimethenamid_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-7_S9-SPE-Pos-MS1DD_Metamitron_R2.mzML
FILES
DERIVED_FILES
mzml_positive
190927-8_S9-SPE-Pos-MS1DD_Blank13.mzML
FILES
DERIVED_FILES
mzml_positive
190927-9_S9-SPE-Pos-MS1DD_Picolinafen_R3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Pesticide Exposure
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 44
Returning 186 rows!
Added 186 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2406
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Vion IMS QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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D7d-7.p.raw
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D7d-8.p.raw
FILES
D7d-9.n.raw
FILES
D7d-9.p.raw
FILES
QC1.n.raw
FILES
QC1.p.raw
FILES
QC2.n.raw
FILES
QC2.p.raw
FILES
QC3.n.raw
FILES
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QC4.n.raw
FILES
QC4.p.raw
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FILES
QC5.p.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Variant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 25%|██▍       | 411/1662 [47:18<2:16:28,  6.55s/it]
 25%|██▍       | 412/1662 [47:19<1:40:43,  4.83s/it]
 25%|██▍       | 413/1662 [47:20<1:16:56,  3.70s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 25%|██▍       | 414/1662 [47:33<2:14:27,  6.46s/it]
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 110 rows!
Added 110 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS241
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2413
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2414
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker compact: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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VT_008_F010.mzML
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VT_077_F151.mzML
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VT_097_F202.mzML
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VT_113_F226.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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Number of rows removed due to not enough metadata: 0
Returning 115 rows!
Added 115 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2418
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2-S HDMS: missing value
ENVOEnvironmentBiome:
  nan: missing value
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FILES
DERIVED_FILES
Control
100V.CDF
FILES
DERIVED_FILES
Control
99H.CDF
FILES
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Control
99V.CDF
FILES
DERIVED_FILES
H
101H.CDF
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H
101V.CDF
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74H.CDF
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H
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76V.CDF
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N
38H.CDF
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DERIVED_FILES
N
39H.CDF
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N
41H.CDF
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N
41V.CDF
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DERIVED_FILES
N
42H.CDF
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N
42V.CDF
FILES
DERIVED_FILES
N
43H.CDF
FILES
DERIVED_FILES
N
43V.CDF
FILES
DERIVED_FILES
N
44H.CDF
FILES
DERIVED_FILES
N
44V.CDF
FILES
DERIVED_FILES
N
45V.CDF
FILES
DERIVED_FILES
N
46H.CDF
FILES
DERIVED_FILES
N
46V.CDF
FILES
DERIVED_FILES
NH
63H.CDF
FILES
DERIVED_FILES
NH
63V.CDF
FILES
DERIVED_FILES
NH
66V.CDF
FILES
DERIVED_FILES
NH
67H.CDF
FILES
DERIVED_FILES
NH
69H.CDF
FILES
DERIVED_FILES
NH
69V.CDF
FILES
DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 25%|██▍       | 415/1662 [47:37<2:03:43,  5.95s/it]
NH
71V.CDF
FILES
DERIVED_FILES
NH
72H.CDF
FILES
DERIVED_FILES
NH
72V.CDF
FILES
DERIVED_FILES
NH
77H.CDF
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NH
77V.CDF
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NH
78H.CDF
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NH
78V.CDF
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NH
79H.CDF
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NH
79V.CDF
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80H.CDF
FILES
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80V.CDF
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 57 rows!
Added 57 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2419
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_04.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_06.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_07.mzML
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Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_08.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_10.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_11.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_12.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_13.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_14.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_15.mzML
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Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_17.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_18.mzML
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Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_19.mzML
FILES
Method 1
QXA03POSEAR20220623_BIOQ0122MD_HUMAN_MEDIA1_24.mzML
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IGNORED:  Samples_Term Source REF.13
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IGNORED:  Assay_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 25%|██▌       | 416/1662 [47:45<2:15:50,  6.54s/it]
 25%|██▌       | 417/1662 [47:46<1:41:43,  4.90s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.14
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Term Accession Number.16
IGNORED:  Samples_Eczema
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IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Black
IGNORED:  Samples_Antibacterial Use
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Samples_Baby Gender
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Unit
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Samples_Asian
IGNORED:  Assay_Unit.1
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Samples_Ethnicity
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Time range
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IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 140 rows!
Added 140 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS242
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2424
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2427
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 47 rows!
Added 47 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2438
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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12.centroid.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 196 rows!
Added 196 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2441
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2442
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
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075_Breastmilk_helix_135.mzML
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076_Breastmilk_helix_136.mzML
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077_Breastmilk_helix_137.mzML
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078_Breastmilk_helix_138.mzML
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079_Breastmilk_helix_139.mzML
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080_Breastmilk_helix_140.mzML
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083_Milk_LongE_135.mzML
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084_Milk_LongE_136.mzML
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085_Milk_LongE_137.mzML
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086_Milk_LongE_138.mzML
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087_Milk_LongE_139.mzML
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089_Milk_LongE_140.mzML
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090_Breastmilk_helix_140.mzML
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091_Breastmilk_helix_141.mzML
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095_Milk_LongE_147.mzML
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096_Breastmilk_helix_147.mzML
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096_Milk_LongE_148.mzML
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097_Breastmilk_helix_148.mzML
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098_Breastmilk_helix_149.mzML
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098_Milk_LongE_149.mzML
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099_Breastmilk_helix_150.mzML
FILES
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099_Milk_LongE_150.mzML
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100_Breastmilk_helix_151.mzML
FILES
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100_Milk_LongE_151.mzML
FILES
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101_Breastmilk_helix_152.mzML
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101_Milk_LongE_152.mzML
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102_Breastmilk_helix_153.mzML
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102_Milk_LongE_153.mzML
FILES
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103_Breastmilk_helix_154.mzML
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104_Breastmilk_helix_155.mzML
FILES
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104_Milk_LongE_154.mzML
FILES
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105_Breastmilk_helix_157.mzML
FILES
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106_Breastmilk_helix_158.mzML
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107_Breastmilk_helix_159.mzML
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108_Breastmilk_helix_160.mzML
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109_Breastmilk_helix_161.mzML
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114_Milk_LongE_155.mzML
FILES
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115_Milk_LongE_157.mzML
FILES
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116_Milk_LongE_158.mzML
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117_Milk_LongE_159.mzML
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118_Milk_LongE_160.mzML
FILES
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119_Breastmilk_helix_162.mzML
FILES
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119_Milk_LongE_161.mzML
FILES
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120_Breastmilk_helix_163.mzML
FILES
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120_Milk_LongE_162.mzML
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121_Breastmilk_helix_164.mzML
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121_Milk_LongE_164.mzML
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122_Breastmilk_helix_165.mzML
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123_Breastmilk_helix_166.mzML
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123_Milk_LongE_165.mzML
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124_Breastmilk_helix_167.mzML
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124_Milk_LongE_166.mzML
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125_Breastmilk_helix_168.mzML
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125_Milk_LongE_167.mzML
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126_Breastmilk_helix_169.mzML
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126_Milk_LongE_168.mzML
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127_Breastmilk_helix_170.mzML
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127_Milk_LongE_169.mzML
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128_Breastmilk_helix_171.mzML
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129_Breastmilk_helix_172.mzML
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129_Milk_LongE_171.mzML
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130_Breastmilk_helix_173.mzML
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131_Breastmilk_helix_174.mzML
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131_Milk_LongE_172.mzML
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132_Breastmilk_helix_175.mzML
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132_Milk_LongE_173.mzML
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133_Breastmilk_helix_176.mzML
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134_Breastmilk_helix_177.mzML
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135_Breastmilk_helix_178.mzML
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136_Breastmilk_helix_179.mzML
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137_Breastmilk_helix_180.mzML
FILES
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138_Breastmilk_helix_181.mzML
FILES
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141_Milk_LongE_174.mzML
FILES
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143_Milk_LongE_175.mzML
FILES
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144_Milk_LongE_176.mzML
FILES
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145_Milk_LongE_177.mzML
FILES
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146_Milk_LongE_178.mzML
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148_Breastmilk_helix_182.mzML
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148_Milk_LongE_179.mzML
FILES
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149_Breastmilk_helix_183.mzML
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149_Milk_LongE_180.mzML
FILES
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150_Breastmilk_helix_184.mzML
FILES
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151_Breastmilk_helix_185.mzML
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151_Milk_LongE_181.mzML
FILES
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152_Breastmilk_helix_186.mzML
FILES
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152_Milk_LongE_182.mzML
FILES
DERIVED_FILES
153_Breastmilk_helix_187.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 25%|██▌       | 422/1662 [48:06<1:36:24,  4.67s/it]
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FILES
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154_Breastmilk_helix_188.mzML
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154_Milk_LongE_184.mzML
FILES
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155_Breastmilk_helix_189.mzML
FILES
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156_Milk_LongE_185.mzML
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157_Milk_LongE_186.mzML
FILES
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158_Milk_LongE_187.mzML
FILES
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159_Milk_LongE_188.mzML
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160_Milk_LongE_189.mzML
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178_Serum_adult_5.mzML
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179_Serum_adult_6.mzML
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180_Serum_PB24.mzML
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181_Serum_PB26.mzML
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182_Serum_PB27.mzML
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187_Serum_PB34.mzML
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191_Serum_PB41.mzML
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193_Serum_PB44.mzML
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194_Serum_PB45.mzML
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195_Serum_PB49.mzML
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FILES
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199_Serum_PB54.mzML
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200_Serum_PB56.mzML
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201_Serum_PB57.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
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IGNORED:  row_id
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IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Samples_Enzyme treatment
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 197 rows!
Added 197 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS176
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2444
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX QTRAP 6500+: missing value
  Thermo Scientific Q Exactive: missing value
  AB SCIEX QTRAP 5500: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
5AKD 1_Cholesterol.mzML
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5AKD 2_DAG_TAG.mzML
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5AKD 2_phase2_SP.raw
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5AKD 3_Cholesterol.mzML
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5AKD 3_DAG_TAG.mzML
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5AKD 3_Plasmalogens.mzML
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5AKD 4_Cholesterol.mzML
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5AKD 4_DAG_TAG.mzML
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5AKD 4_GPL.mzML
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5AKD 4_Plasmalogens.mzML
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5AKD 4_phase2_SP.raw
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5AKD 5_Cholesterol.mzML
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5AKD 5_DAG.mzML
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5AKD 5_Plasmalogens.mzML
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5AKD 5_TAG.mzML
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5AKD 6_Cholesterol.mzML
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5AKD 6_DAG.mzML
FILES
5AKD 6_GPL.mzML
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5AKD 6_Plasmalogens.mzML
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5AKD 6_TAG.mzML
FILES
5AKD 7_Cholesterol.mzML
FILES
5AKD 7_DAG.mzML
FILES
5AKD 7_GPL.mzML
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5AKD 7_Plasmalogens.mzML
FILES
5AKD 7_TAG.mzML
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5AKD 8_Cholesterol.mzML
FILES
5AKD 8_DAG.mzML
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5AKD 8_GPL.mzML
FILES
5AKD 8_Plasmalogens.mzML
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5AKD 8_TAG.mzML
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Kon A_DAG_TAG.mzML
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Kon A_Plasmalogens.mzML
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Kon A_phase3_SP.raw
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Kon B_Cholesterol.mzML
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Kon C_Cholesterol.mzML
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PM 5AKD 1_Cholesterol.mzML
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PM 5AKD 1_DAG_TAG.mzML
FILES
PM 5AKD 1_GPL.mzML
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PM 5AKD 1_Plasmalogens.mzML
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PM 5AKD 1_phase2_SP.raw
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PM 5AKD 2_Cholesterol.mzML
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PM 5AKD 3_Cholesterol.mzML
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PM 5AKD 3_DAG_TAG.mzML
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PM 5AKD 3_Plasmalogens.mzML
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PM SCR 1_Cholesterol.mzML
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PM SCR 1_DAG_TAG.mzML
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PM SCR 1_Plasmalogens.mzML
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PM SCR 2_DAG_TAG.mzML
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FILES
PM SCR 2_Plasmalogens.mzML
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PM SCR 2_phase2_SP.raw
FILES
PM SCR 3_Cholesterol.mzML
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PM SCR 3_DAG_TAG.mzML
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PM SCR 3_GPL.mzML
FILES
PM SCR 3_Plasmalogens.mzML
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PM SCR 3_phase2_SP.raw
FILES
SCR 1_Cholesterol.mzML
FILES
SCR 1_DAG_TAG.mzML
FILES
SCR 1_GPL.mzML
FILES
SCR 1_Plasmalogens.mzML
FILES
SCR 1_phase2_SP.raw
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SCR 1_phase3_SP.raw
FILES
SCR 2_Cholesterol.mzML
FILES
SCR 2_DAG_TAG.mzML
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SCR 2_GPL.mzML
FILES
SCR 2_Plasmalogens.mzML
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SCR 2_phase2_SP.raw
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SCR 2_phase3_SP.raw
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SCR 3_Cholesterol.mzML
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SCR 3_DAG_TAG.mzML
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SCR 3_GPL.mzML
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SCR 3_Plasmalogens.mzML
FILES
SCR 3_phase2_SP.raw
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SCR 3_phase3_SP.raw
FILES
SCR 4_Cholesterol.mzML
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SCR 4_DAG_TAG.mzML
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SCR 4_GPL.mzML
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SCR 4_Plasmalogens.mzML
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SCR 4_phase2_SP.raw
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SCR 4_phase3_SP.raw
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SCR 5_Cholesterol.mzML
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SCR 5_DAG.mzML
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SCR 5_Plasmalogens.mzML
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SCR 6_Cholesterol.mzML
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SCR 6_DAG.mzML
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SCR 6_GPL.mzML
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SCR 6_Plasmalogens.mzML
FILES
SCR 6_TAG.mzML
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SCR 7_Cholesterol.mzML
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SCR 7_DAG.mzML
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SCR 7_GPL.mzML
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SCR 7_Plasmalogens.mzML
FILES
SCR 7_TAG.mzML
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SCR 8_Cholesterol.mzML
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SCR 8_DAG.mzML
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SCR 8_Plasmalogens.mzML
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FILES
solvent_Cholesterol.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 26%|██▌       | 424/1662 [48:17<1:51:35,  5.41s/it]
 26%|██▌       | 425/1662 [48:18<1:24:04,  4.08s/it]
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Sample origin
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Cell treatment
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 8
Returning 119 rows!
Added 119 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2457
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2469
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Ion source
IGNORED:  Samples_CT value
IGNORED:  Assay_Protocol REF
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IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
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IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.10
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 177 rows!
Added 177 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS124
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS247
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2472
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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QC11_mn.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
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IGNORED:  row_id
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IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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Number of rows removed due to not enough metadata: 0
Returning 367 rows!
Added 367 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2483
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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240220_1179.wiff/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 1447 rows!
Added 1447 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS126
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
FILES
Mouse 1 Blood HO control POS.mzML
FILES
Mouse 1 Dorsal skin HO control POS.mzML
FILES
Mouse 1 Liver HO control POS.mzML
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Mouse 10 Blood Ma RESV POS.mzML
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Mouse 10 Dorsal skin Ma RESV POS.mzML
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Mouse 10 Liver Ma RESV POS.mzML
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Mouse 11 Blood Ma RESV POS.mzML
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Mouse 11 Dorsal skin Ma RESV POS.mzML
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Mouse 11 Liver Ma RESV POS.mzML
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Mouse 12 Blood Ma RESV POS.mzML
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Mouse 12 Dorsal skin Ma RESV POS.mzML
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Mouse 12 Liver Ma RESV POS.mzML
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Mouse 14 Blood CMC control POS.mzML
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Mouse 14 Dorsal skin CMC control POS.mzML
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Mouse 14 Liver CMC control POS.mzML
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Mouse 15 Blood CMC control POS.mzML
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Mouse 15 Dorsal skin CMC control POS.mzML
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Mouse 15 Liver CMC control POS.mzML
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Mouse 16 Blood CMC RESV POS.mzML
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Mouse 16 Dorsal skin CMC RESV POS.mzML
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Mouse 16 Liver CMC RESV POS.mzML
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Mouse 17 Blood CMC RESV POS.mzML
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Mouse 17 Dorsal skin CMC RESV POS.mzML
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Mouse 17 Liver CMC RESV POS.mzML
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Mouse 18 Blood CMC RESV POS.mzML
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Mouse 18 Dorsal skin CMC RESV POS.mzML
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Mouse 18 Liver CMC RESV POS.mzML
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Mouse 19 Blood EtOH control POS.mzML
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Mouse 19 Dorsal skin EtOH control POS.mzML
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Mouse 19 Liver EtOH control POS.mzML
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Mouse 2 Blood HO control POS.mzML
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Mouse 2 Dorsal skin HO control POS.mzML
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Mouse 20 Blood EtOH control POS.mzML
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Mouse 20 Dorsal skin EtOH control POS.mzML
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Mouse 20 Liver EtOH control POS.mzML
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Mouse 21 Blood EtOH control POS.mzML
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Mouse 21 Dorsal skin EtOH control POS.mzML
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Mouse 21 Liver EtOH control POS.mzML
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Mouse 23 Blood EtOH RESV POS.mzML
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Mouse 23 Liver EtOH RESV POS.mzML
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Mouse 24 Dorsal skin EtOH RESV POS.mzML
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Mouse 24 Liver EtOH RESV POS.mzML
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Mouse 3 Blood HO control POS.mzML
FILES
Mouse 3 Dorsal skin HO control POS.mzML
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Mouse 3 Liver HO control POS.mzML
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Mouse 4 Blood HO RESV POS.mzML
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Mouse 4 Dorsal skin HO RESV POS.mzML
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Mouse 4 Liver HO RESV POS.mzML
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Mouse 5 Blood HO RESV POS.mzML
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Mouse 6 Blood HO RESV POS.mzML
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Mouse 8 Blood Ma control POS.mzML
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Mouse 8 Dorsal skin Ma control POS.mzML
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Mouse 8 Liver Ma control POS.mzML
FILES
Mouse 9 Blood Ma control POS.mzML
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Mouse 9 Dorsal skin Ma control POS.mzML
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Mouse 9 Liver Ma control POS.mzML
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Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS249
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2497
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
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  : missing value
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IGNORED:  row_id
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IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
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IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Organism part
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IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 26%|██▌       | 433/1662 [49:24<2:45:56,  8.10s/it]
 26%|██▌       | 434/1662 [49:25<2:01:50,  5.95s/it]
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Mixture
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 108
Returning 3 rows!
Added 3 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS25
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2501
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Electron PolarisQ: missing value
  Thermo Scientific Q Exactive Plus: missing value
  AB SCIEX QTRAP 6500: missing value
  AB SCIEX QTRAP 3200: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
   (C18): missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 15
Returning 135 rows!
Added 135 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2522
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ-Orbitrap Classic: missing value
  Thermo Scientific LTQ Orbitrap Classic: missing value
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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2020062_0387_bemaier_exB14_R3_C18_pos_blank.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 26%|██▌       | 436/1662 [50:15<5:39:44, 16.63s/it]
 26%|██▋       | 437/1662 [50:16<4:03:44, 11.94s/it]
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Number of rows removed due to not enough metadata: 946
Returning 951 rows!
Added 951 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS253
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2531
Request successful!
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Chromatography Instrument/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 26%|██▋       | 438/1662 [50:23<3:34:26, 10.51s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 26%|██▋       | 439/1662 [50:29<3:05:38,  9.11s/it]
IGNORED:  Assay_Term Source REF.8
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Number of rows removed due to not enough metadata: 0
Returning 110 rows!
Added 110 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2532
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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Number of rows removed due to not enough metadata: 1
Returning 84 rows!
Added 84 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2538
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
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Country: ADDED!
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FILES
EZ_Exp258_001.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2542
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Disease severity
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 441/1662 [50:46<3:09:50,  9.33s/it]
 27%|██▋       | 442/1662 [50:47<2:18:56,  6.83s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 443/1662 [50:52<2:06:25,  6.22s/it]
 27%|██▋       | 444/1662 [50:53<1:34:45,  4.67s/it]
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 642 rows!
Added 642 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2550
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2559
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
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FILES
DERIVED_FILES
Negative
AcoR1_1.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_2.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_3.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_4.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_Aco_1.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_Aco_2.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_Aco_3.mzXML
FILES
DERIVED_FILES
Negative
AcoR1_Aco_4.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_1.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_2.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_3.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_4.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_Aco_1.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_Aco_2.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_Aco_3.mzXML
FILES
DERIVED_FILES
Negative
AcoR2_Aco_4.mzXML
FILES
DERIVED_FILES
Negative
Pool_1.mzXML
FILES
DERIVED_FILES
Negative
Pool_2.mzXML
FILES
DERIVED_FILES
Negative
Pool_3.mzXML
FILES
DERIVED_FILES
Negative
Pool_4.mzXML
FILES
DERIVED_FILES
Negative
Pool_5.mzXML
FILES
DERIVED_FILES
Negative
Pool_6.mzXML
FILES
DERIVED_FILES
Negative
WT_1.mzXML
FILES
DERIVED_FILES
Negative
WT_2.mzXML
FILES
DERIVED_FILES
Negative
WT_3.mzXML
FILES
DERIVED_FILES
Negative
WT_4.mzXML
FILES
DERIVED_FILES
Negative
WT_Aco_1.mzXML
FILES
DERIVED_FILES
Negative
WT_Aco_2.mzXML
FILES
DERIVED_FILES
Negative
WT_Aco_3.mzXML
FILES
DERIVED_FILES
Negative
WT_Aco_4.mzXML
FILES
DERIVED_FILES
Negative
blank1.mzXML
FILES
DERIVED_FILES
Negative
blank2.mzXML
FILES
DERIVED_FILES
Negative
blank3.mzXML
FILES
DERIVED_FILES
Negative
blank4.mzXML
FILES
DERIVED_FILES
Negative
blank5.mzXML
FILES
DERIVED_FILES
Negative
blank6.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS256
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1764
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
BlkMinusIS_04_RA2.mzML
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BlkPlusIS_05_RA3.mzML
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BlkSystem_02_RA1.mzML
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BlkSysten_01_RA1.mzML
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BlkWasser_03_RA1.mzML
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BlkWasser_08_RA1.mzML
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BlkWasser_12_RA1.mzML
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BlkWasser_16_RA1.mzML
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BlkWasser_20_RA1.mzML
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BlkWasser_24_RA1.mzML
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QCMatrix_07_RA5.mzML
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QCSolvent_06_RA4.mzML
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S07MurineECCtrl_17_RB4.mzML
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S08MurineECCtrl_18_RB5.mzML
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S09MurineECCtrl_19_RB6.mzML
FILES
S10MurineECKO_21_RB7.mzML
FILES
S11MurineECKO_22_RB8.mzML
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S12MurineECKO_23_RC1.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Derived Spectral Data File.1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 445/1662 [50:58<1:35:17,  4.70s/it]
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2579
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
Diclo1_neg.mzXML
FILES
DERIVED_FILES
Diclo2_neg.mzXML
FILES
DERIVED_FILES
Diclo3_neg.mzXML
FILES
DERIVED_FILES
Diclo4_neg.mzXML
FILES
DERIVED_FILES
Diclo5_neg.mzXML
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DERIVED_FILES
Diclo6_neg.mzXML
FILES
DERIVED_FILES
Fi_t1_neg.mzXML
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DERIVED_FILES
Fi_t1_pos.mzXML
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Fi_t2_neg.mzXML
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Fi_t2_pos.mzXML
FILES
DERIVED_FILES
Fi_t3_neg.mzXML
FILES
DERIVED_FILES
Fi_t3_pos.mzXML
FILES
DERIVED_FILES
Gr_t1_neg.mzXML
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Gr_t1_pos.mzXML
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Gr_t2_neg.mzXML
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DERIVED_FILES
Gr_t2_pos.mzXML
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DERIVED_FILES
Gr_t3_neg.mzXML
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Gr_t3_pos.mzXML
FILES
DERIVED_FILES
In_t1_neg.mzXML
FILES
DERIVED_FILES
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In_t2_neg.mzXML
FILES
DERIVED_FILES
In_t2_pos.mzXML
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DERIVED_FILES
In_t3_neg.mzXML
FILES
DERIVED_FILES
In_t3_pos.mzXML
FILES
DERIVED_FILES
Jo_t1_neg.mzXML
FILES
DERIVED_FILES
Jo_t1_pos.mzXML
FILES
DERIVED_FILES
Jo_t2_neg.mzXML
FILES
DERIVED_FILES
Jo_t2_pos.mzXML
FILES
DERIVED_FILES
Jo_t3_neg.mzXML
FILES
DERIVED_FILES
Jo_t3_pos.mzXML
FILES
DERIVED_FILES
Ka_t1_neg.mzXML
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DERIVED_FILES
Ka_t1_pos.mzXML
FILES
DERIVED_FILES
Ka_t2_neg.mzXML
FILES
DERIVED_FILES
Ka_t2_pos.mzXML
FILES
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IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 446/1662 [51:06<1:58:38,  5.85s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 447/1662 [51:12<1:58:39,  5.86s/it]
IGNORED:  Assay_Term Accession Number.2
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Number of rows removed due to not enough metadata: 16
Returning 168 rows!
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2585
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2587
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
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Country: ADDED!
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G(3) ALOHA CLEAN.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Cultivar
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Pungency
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Source REF.9
IGNORED:  Samples_Brix value
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Market class
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Samples_Colour
Number of rows removed due to not enough metadata: 0
Returning 424 rows!
Added 424 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1765
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters SYNAPT G2-Si: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 449/1662 [51:32<2:37:07,  7.77s/it]
 27%|██▋       | 450/1662 [51:33<1:54:34,  5.67s/it]
 27%|██▋       | 451/1662 [51:33<1:25:06,  4.22s/it]
IGNORED:  Samples_Class
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 255 rows!
Added 255 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS133
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS259
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2594
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
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X_MS_PE3_4.mzXML
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X_MS_PE3_5.mzXML
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RAW_FILES
X_MS_TB1_2.mzXML
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RAW_FILES
X_MS_TB1_3.mzXML
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X_MS_TB2_2.mzXML
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X_MS_TB2_3.mzXML
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X_MS_TB3_1.mzXML
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RAW_FILES
X_MS_TB3_2.mzXML
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RAW_FILES
X_MS_TB3_3.mzXML
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RAW_FILES
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X_MS_Y1_1.mzXML
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RAW_FILES
X_MS_Y1_3.mzXML
FILES
RAW_FILES
X_MS_Y3_1.mzXML
FILES
RAW_FILES
X_MS_Y3_3.mzXML
FILES
RAW_FILES
X_MS_Y3_4.mzXML
FILES
RAW_FILES
X_MS_Y3_5.mzXML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 27%|██▋       | 452/1662 [51:40<1:37:08,  4.82s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 27%|██▋       | 453/1662 [51:43<1:30:49,  4.51s/it]
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IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 148 rows!
Added 148 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2597
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
082319B-04.CDF
FILES
DERIVED_FILES
082319B-05.CDF
FILES
DERIVED_FILES
082319B-06.CDF
FILES
DERIVED_FILES
082319B-10.CDF
FILES
DERIVED_FILES
082319B-11.CDF
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DERIVED_FILES
082319B-12.CDF
FILES
DERIVED_FILES
082319B-16.CDF
FILES
DERIVED_FILES
082319B-17.CDF
FILES
DERIVED_FILES
082319B-18.CDF
FILES
DERIVED_FILES
082319B-22.CDF
FILES
DERIVED_FILES
082319B-23.CDF
FILES
DERIVED_FILES
082319B-24.CDF
FILES
DERIVED_FILES
082319B-27.CDF
FILES
DERIVED_FILES
082319B-28.CDF
FILES
DERIVED_FILES
082319B-29.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS260
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS261
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2612
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2615
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2627
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1785
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  X500R QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20180410_Plasma_NEG_Blk.mzML
FILES
20180410_Plasma_NEG_PPT1.mzML
FILES
20180410_Plasma_NEG_PPT2.mzML
FILES
20180410_Plasma_NEG_PPT3.mzML
FILES
20180410_Plasma_NEG_PPT4.mzML
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20180410_Plasma_NEG_PPT5.mzML
FILES
20180410_Plasma_NEG_PPT6.mzML
FILES
20180410_Plasma_NEG_PPT7.mzML
FILES
20180410_Plasma_NEG_PPT8.mzML
FILES
20180413_Plasma_POS_Blk.mzML
FILES
20180413_Plasma_POS_PPT1.mzML
FILES
20180413_Plasma_POS_PPT2.mzML
FILES
20180413_Plasma_POS_PPT3.mzML
FILES
20180413_Plasma_POS_PPT4.mzML
FILES
20180413_Plasma_POS_PPT5.mzML
FILES
20180413_Plasma_POS_PPT6.mzML
FILES
20180413_Plasma_POS_PPT7.mzML
FILES
20180413_Plasma_POS_PPT8.mzML
FILES
20180425_Serum_NEG_Blk.mzML
FILES
20180425_Serum_NEG_PPT1.mzML
FILES
20180425_Serum_NEG_PPT2.mzML
FILES
20180425_Serum_NEG_PPT3.mzML
FILES
20180425_Serum_NEG_PPT4.mzML
FILES
20180425_Serum_NEG_PPT5.mzML
FILES
20180425_Serum_NEG_PPT6.mzML
FILES
20180425_Serum_NEG_PPT7.mzML
FILES
20180425_Serum_NEG_PPT8.mzML
FILES
20180427_Serum_POS_Blk.mzML
FILES
20180427_Serum_POS_PPT1.mzML
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20180427_Serum_POS_PPT2.mzML
FILES
20180427_Serum_POS_PPT3.mzML
FILES
20180427_Serum_POS_PPT4.mzML
FILES
20180427_Serum_POS_PPT5.mzML
FILES
20180427_Serum_POS_PPT6.mzML
FILES
20180427_Serum_POS_PPT7.mzML
FILES
20180427_Serum_POS_PPT8.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Spiking
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 459/1662 [51:54<54:42,  2.73s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 460/1662 [51:58<1:01:36,  3.08s/it]
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 4
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS263
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
3injections_inj1_NEG.mzML
FILES
3injections_inj1_POS.mzML
FILES
3injections_inj2_NEG.mzML
FILES
3injections_inj2_POS.mzML
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3injections_inj3_NEG.mzML
FILES
3injections_inj3_POS.mzML
FILES
3samples_sampl1_NEG.mzML
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3samples_sampl2_NEG.mzML
FILES
3samples_sampl2_POS.mzML
FILES
3samples_sampl3_NEG.mzML
FILES
3samples_sampl3_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Preparation replicate
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Injection replicate
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2630
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  LECO Pegasus 4D: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Exp3_Emix_4A_1.cdf
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Exp4_25_B_1.cdf
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Exp4_25_C_2.cdf
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Exp4_25_C_3.cdf
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Exp4_25_D_1.cdf
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Exp4_25_D_2.cdf
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Exp4_25_D__40uL_with_0.2_fames_1.cdf
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Exp4_4_C_2.cdf
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Exp5_100_J_0h_1.cdf
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Exp5_300_J_12h_1.cdf
FILES
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FILES
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Exp5_300_J_4h_1.cdf
FILES
Exp5_300_J_4h_2.cdf
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Exp5_300_J_4h_3.cdf
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Exp5_QC1_1.cdf
FILES
Exp5_QC1_2.cdf
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Exp5_QC1_3.cdf
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Exp5_QC2_1.cdf
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FILES
Exp5_QC2_4.cdf
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Exp5_QC3_40ul_2.cdf
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Exp5_QC3_40ul_3.cdf
FILES
Exp6_2D_blank_1.cdf
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 461/1662 [52:06<1:35:41,  4.78s/it]
 28%|██▊       | 462/1662 [52:07<1:13:21,  3.67s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 463/1662 [52:12<1:16:33,  3.83s/it]FILES
Exp6_Native_t0_1.cdf
FILES
Exp6_Native_t0_2.cdf
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Exp6_Native_t0_3.cdf
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Exp6_Native_t1_1.cdf
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Exp6_Native_t1_2.cdf
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Exp6_Native_t1_3.cdf
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Exp6_Native_t4_1.cdf
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Exp6_Native_t4_2.cdf
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Exp6_Native_t4_3.cdf
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Exp6_QC1_1.cdf
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Exp6_QC1_2.cdf
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Exp6_QC1_3.cdf
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Exp6_QC2_1.cdf
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Exp6_QC2_2.cdf
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Exp6_QC2_3.cdf
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Exp6_QC3_2.cdf
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Exp6_QC3_3.cdf
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Exp6_gltA_t0_1.cdf
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Exp6_gltA_t0_2.cdf
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Exp6_gltA_t0_3.cdf
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Exp6_gltA_t1_1.cdf
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Exp6_gltA_t1_2.cdf
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Exp6_gltA_t1_3.cdf
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Exp6_gltA_t4_1.cdf
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Exp6_gltA_t4_2.cdf
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Exp6_gltA_t4_40ul_1.cdf
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Exp6_ldhA_t0_1.cdf
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Exp6_ldhA_t0_2.cdf
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Exp6_ldhA_t0_3.cdf
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Exp6_ldhA_t1_1.cdf
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Exp6_ldhA_t1_2.cdf
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Exp6_ldhA_t1_3.cdf
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Exp6_ldhA_t4_1.cdf
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Exp6_ldhA_t4_2.cdf
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Exp6_ldhA_t4_3.cdf
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Exp6_pgk_t0_1.cdf
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Exp6_pgk_t0_2.cdf
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Exp6_pgk_t0_3.cdf
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Exp6_pgk_t1_1.cdf
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Exp6_pgk_t1_2.cdf
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Exp6_pgk_t1_3.cdf
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Exp6_pgk_t4_1.cdf
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Exp6_pgk_t4_3.cdf
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QC1_1.cdf
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QC1_2.cdf
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QC2_1.cdf
FILES
QC2_2.cdf
FILES
QC2_3.cdf
FILES
YZ_t1_-C_1.cdf
FILES
YZ_t4_-A_1.cdf
FILES
YZ_t4_-A_2.cdf
FILES
YZ_t4_-C_1.cdf
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column type 2
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Samples_Complete CFE reaction
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Enzyme
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Column type 1
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Time
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Column model 2
IGNORED:  filename_lower
IGNORED:  Assay_Column model 1
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Sonication energy input
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Lysate pre-incubation temperature
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 12
Returning 171 rows!
Added 171 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2633
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2634
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-QP2010 Ultra: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10cm_1.mzXML
FILES
10cm_2.mzXML
FILES
10cm_3.mzXML
FILES
10cm_4.mzXML
FILES
15cm_1.mzXML
FILES
15cm_2.mzXML
FILES
15cm_3.mzXML
FILES
15cm_4.mzXML
FILES
20cm_1.mzXML
FILES
20cm_2.mzXML
FILES
20cm_3.mzXML
FILES
20cm_4.mzXML
FILES
30cm_1.mzXML
FILES
30cm_2.mzXML
FILES
30cm_3.mzXML
FILES
30cm_4.mzXML
FILES
8cm_1.mzXML
FILES
8cm_2.mzXML
FILES
8cm_3.mzXML
FILES
8cm_4.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_plant density
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2639
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker Daltonics autoflex speed MALDI-TOF(/TOF): missing value
  Thermo Scientific Q Exactive HF: missing value
  Thermo Scientific Q Exactive Plus: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
150417_EW_Section4_pos.d/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 28%|██▊       | 464/1662 [52:16<1:21:49,  4.10s/it]
FILES
150429_EW_Section2_pos.d
FILES
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150505_EW_Section3_pos.d
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20191210_MS56_SpermidinStd_70_160_SDHB_pos_A25_50um_20x4_MSMS146.mzML
FILES
20191216_MS56_EarthWorm_SL2_50_600_SDHB_pos_A25_20um_20x10_MSMS_482.mzML
FILES
section2.3_DHB_100_1000_pos_250x250_A30_8um.RAW
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Assay_Term Source REF.8
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Unnamed: 60
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Is Organ
IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Section location
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Scan type
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Target material
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Assay_Unnamed: 59
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 1
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS264
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Volunteer4_plasma_24h_NEG.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 465/1662 [52:21<1:27:30,  4.39s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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Volunteer4_plasma_4h_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_timepoint
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_sample material
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_volunteer
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS265
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES
Person19_blood_elder_NEG.mzML
FILES
Person19_blood_elder_POS.mzML
FILES
Person20_blood_youth_NEG.mzML
FILES
Person20_blood_youth_POS.mzML
FILES
Person21_blood_youth_NEG.mzML
FILES
Person21_blood_youth_POS.mzML
FILES
Person22_blood_elder_NEG.mzML
FILES
Person22_blood_elder_POS.mzML
FILES
Person23_blood_elder_NEG.mzML
FILES
Person23_blood_elder_POS.mzML
FILES
Person24_blood_elder_NEG.mzML
FILES
Person24_blood_elder_POS.mzML
FILES
Person25_blood_elder_NEG.mzML
FILES
Person25_blood_elder_POS.mzML
FILES
Person26_blood_elder_NEG.mzML
FILES
Person26_blood_elder_POS.mzML
FILES
Person27_blood_youth_NEG.mzML
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Person27_blood_youth_POS.mzML
FILES
Person28_blood_youth_NEG.mzML
FILES
Person28_blood_youth_POS.mzML
FILES
Person29_blood_elder_NEG.mzML
FILES
Person29_blood_elder_POS.mzML
FILES
Person30_blood_elder_NEG.mzML
FILES
Person30_blood_elder_POS.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Subject
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS266
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
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  nan: missing value
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FILES
Person01_plasma_youth_NEG.mzML
FILES
Person01_plasma_youth_POS.mzML
FILES
Person02_plasma_youth_NEG.mzML
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Person02_plasma_youth_POS.mzML
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Person03_plasma_youth_NEG.mzML
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Person03_plasma_youth_POS.mzML
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Person04_plasma_youth_NEG.mzML
FILES
Person04_plasma_youth_POS.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 467/1662 [52:30<1:28:31,  4.44s/it]
FILES
Person05_plasma_elder_NEG.mzML
FILES
Person05_plasma_elder_POS.mzML
FILES
Person06_plasma_elder_NEG.mzML
FILES
Person06_plasma_elder_POS.mzML
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Person07_plasma_elder_NEG.mzML
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Person07_plasma_elder_POS.mzML
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Person08_plasma_elder_NEG.mzML
FILES
Person08_plasma_elder_POS.mzML
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Person09_plasma_elder_NEG.mzML
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Person09_plasma_elder_POS.mzML
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Person10_plasma_elder_NEG.mzML
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Person10_plasma_elder_POS.mzML
FILES
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Person11_plasma_youth_POS.mzML
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Person12_plasma_youth_POS.mzML
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Person13_plasma_youth_POS.mzML
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Person14_plasma_youth_POS.mzML
FILES
Person15_plasma_youth_NEG.mzML
FILES
Person15_plasma_youth_POS.mzML
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Person16_plasma_youth_NEG.mzML
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Person16_plasma_youth_POS.mzML
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Person17_plasma_youth_NEG.mzML
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Person17_plasma_youth_POS.mzML
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Person18_plasma_elder_NEG.mzML
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Person18_plasma_elder_POS.mzML
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Person19_plasma_elder_NEG.mzML
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Person19_plasma_elder_POS.mzML
FILES
Person20_plasma_youth_NEG.mzML
FILES
Person20_plasma_youth_POS.mzML
FILES
Person21_plasma_youth_NEG.mzML
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FILES
Person22_plasma_elder_NEG.mzML
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Person22_plasma_elder_POS.mzML
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FILES
Person23_plasma_elder_POS.mzML
FILES
Person24_plasma_elder_NEG.mzML
FILES
Person24_plasma_elder_POS.mzML
FILES
Person25_plasma_elder_NEG.mzML
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Person25_plasma_elder_POS.mzML
FILES
Person26_plasma_elder_NEG.mzML
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Person26_plasma_elder_POS.mzML
FILES
Person27_plasma_youth_NEG.mzML
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Person27_plasma_youth_POS.mzML
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Person28_plasma_youth_NEG.mzML
FILES
Person28_plasma_youth_POS.mzML
FILES
Person29_plasma_elder_NEG.mzML
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Person29_plasma_elder_POS.mzML
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Person30_plasma_elder_NEG.mzML
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Person30_plasma_elder_POS.mzML
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Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS267
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
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FILES
Person01_RBC_youth_NEG.mzML
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Person01_RBC_youth_POS.mzML
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Person03_RBC_youth_NEG.mzML
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Person03_RBC_youth_POS.mzML
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Person04_RBC_youth_NEG.mzML
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Person04_RBC_youth_POS.mzML
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Person05_RBC_elder_NEG.mzML
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Person05_RBC_elder_POS.mzML
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Person06_RBC_elder_NEG.mzML
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Person06_RBC_elder_POS.mzML
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Person07_RBC_elder_NEG.mzML
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Person07_RBC_elder_POS.mzML
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Person08_RBC_elder_NEG.mzML
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Person08_RBC_elder_POS.mzML
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Person09_RBC_elder_NEG.mzML
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Person09_RBC_elder_POS.mzML
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Person10_RBC_elder_NEG.mzML
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Person10_RBC_elder_POS.mzML
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Person11_RBC_youth_NEG.mzML
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Person11_RBC_youth_POS.mzML
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Person12_RBC_youth_NEG.mzML
FILES
Person12_RBC_youth_POS.mzML
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Person13_RBC_youth_NEG.mzML
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Person13_RBC_youth_POS.mzML
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Person14_RBC_youth_NEG.mzML
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Person14_RBC_youth_POS.mzML
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Person15_RBC_youth_NEG.mzML
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Person15_RBC_youth_POS.mzML
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Person16_RBC_youth_NEG.mzML
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Person16_RBC_youth_POS.mzML
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Person17_RBC_youth_NEG.mzML
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Person17_RBC_youth_POS.mzML
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Person18_RBC_elder_NEG.mzML
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Person18_RBC_elder_POS.mzML
FILES
Person19_RBC_elder_NEG.mzML
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Person19_RBC_elder_POS.mzML
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Person20_RBC_youth_NEG.mzML
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Person20_RBC_youth_POS.mzML
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Person21_RBC_youth_NEG.mzML
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Person21_RBC_youth_POS.mzML
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Person22_RBC_elder_NEG.mzML
FILES
Person22_RBC_elder_POS.mzML
FILES
Person23_RBC_elder_NEG.mzML
FILES
Person23_RBC_elder_POS.mzML
FILES
Person24_RBC_elder_NEG.mzML
FILES
Person24_RBC_elder_POS.mzML
FILES
Person25_RBC_elder_NEG.mzML
FILES
Person25_RBC_elder_POS.mzML
FILES
Person26_RBC_elder_NEG.mzML
FILES
Person26_RBC_elder_POS.mzML
FILES
Person27_RBC_youth_NEG.mzML
FILES
Person27_RBC_youth_POS.mzML
FILES
Person28_RBC_youth_NEG.mzML
FILES
Person28_RBC_youth_POS.mzML
FILES
Person29_RBC_elder_NEG.mzML
FILES
Person29_RBC_elder_POS.mzML
FILES
Person30_RBC_elder_NEG.mzML
FILES
Person30_RBC_elder_POS.mzML
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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Subject
IGNORED:  filename_lower
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IGNORED:  Samples_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 468/1662 [52:34<1:27:16,  4.39s/it]
 28%|██▊       | 469/1662 [52:35<1:05:50,  3.31s/it]
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2671
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2679
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
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FILES
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Sarcopenic_metaboloma_pos19a.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Medical condition
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
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IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 133 rows!
Added 133 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1399
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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SEP1019-TOFA-POS-1A01.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 28%|██▊       | 471/1662 [52:51<1:55:11,  5.80s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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Number of rows removed due to not enough metadata: 16
Returning 204 rows!
Added 204 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2688
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
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Country: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2689
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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FILES
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L2.mzXML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 3
Returning 14 rows!
Added 14 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2692
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS27
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters GCT Premier: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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FILES
EMILY_FAMESTANDARD02.CDF
FILES
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FILES
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EMILY_SAMPLE03.CDF
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FILES
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FILES
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EMILY_SAMPLE101.CDF
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FILES
EMILY_SAMPLE105.CDF
FILES
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FILES
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FILES
EMILY_SAMPLE113.CDF
FILES
EMILY_SAMPLE114.CDF
FILES
EMILY_SAMPLE116.CDF
FILES
EMILY_SAMPLE118.CDF
FILES
EMILY_SAMPLE119.CDF
FILES
EMILY_SAMPLE12.CDF
FILES
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FILES
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FILES
EMILY_SAMPLE122.CDF
FILES
EMILY_SAMPLE123.CDF
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EMILY_SAMPLE18.CDF
FILES
EMILY_SAMPLE19.CDF
FILES
EMILY_SAMPLE20.CDF
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EMILY_SAMPLE21.CDF
FILES
EMILY_SAMPLE22.CDF
FILES
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FILES
EMILY_SAMPLE25.CDF
FILES
EMILY_SAMPLE26.CDF
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EMILY_SAMPLE27.CDF
FILES
EMILY_SAMPLE28.CDF
FILES
EMILY_SAMPLE29.CDF
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EMILY_SAMPLE30.CDF
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EMILY_SAMPLE32.CDF
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EMILY_SAMPLE34.CDF
FILES
EMILY_SAMPLE35.CDF
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EMILY_SAMPLE36.CDF
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EMILY_SAMPLE37.CDF
FILES
EMILY_SAMPLE38.CDF
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EMILY_SAMPLE40.CDF
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EMILY_SAMPLE41.CDF
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EMILY_SAMPLE44.CDF
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EMILY_SAMPLE45.CDF
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EMILY_SAMPLE47.CDF
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EMILY_SAMPLE50.CDF
FILES
EMILY_SAMPLE52.CDF
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EMILY_SAMPLE53.CDF
FILES
EMILY_SAMPLE54.CDF
FILES
EMILY_SAMPLE55.CDF
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EMILY_SAMPLE57.CDF
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EMILY_SAMPLE58.CDF
FILES
EMILY_SAMPLE59.CDF
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EMILY_SAMPLE60.CDF
FILES
EMILY_SAMPLE61.CDF
FILES
EMILY_SAMPLE63.CDF
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EMILY_SAMPLE64.CDF
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EMILY_SAMPLE65.CDF
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EMILY_SAMPLE67.CDF
FILES
EMILY_SAMPLE68.CDF
FILES
EMILY_SAMPLE69.CDF
FILES
EMILY_SAMPLE71.CDF
FILES
EMILY_SAMPLE72.CDF
FILES
EMILY_SAMPLE74.CDF
FILES
EMILY_SAMPLE75.CDF
FILES
EMILY_SAMPLE76.CDF
FILES
EMILY_SAMPLE77.CDF
FILES
EMILY_SAMPLE78.CDF
FILES
EMILY_SAMPLE79.CDF
FILES
EMILY_SAMPLE80.CDF
FILES
EMILY_SAMPLE81.CDF
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EMILY_SAMPLE82.CDF
FILES
EMILY_SAMPLE83.CDF
FILES
EMILY_SAMPLE85.CDF
FILES
EMILY_SAMPLE86.CDF
FILES
EMILY_SAMPLE87.CDF
FILES
EMILY_SAMPLE88.CDF
FILES
EMILY_SAMPLE89.CDF
FILES
EMILY_SAMPLE90.CDF
FILES
EMILY_SAMPLE91.CDF
FILES
EMILY_SAMPLE92.CDF
FILES
EMILY_SAMPLE93.CDF
FILES
EMILY_SAMPLE94.CDF
FILES
EMILY_SAMPLE96.CDF
FILES
EMILY_SAMPLE97.CDF
FILES
EMILY_SAMPLE98.CDF
FILES
EMILY_SAMPLE99.CDF
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  Samples_Most recent treatment
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Term Accession Number.9
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IGNORED:  Assay_Scan polarity/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 29%|██▊       | 475/1662 [53:11<1:44:49,  5.30s/it]
 29%|██▊       | 476/1662 [53:12<1:17:58,  3.94s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 29%|██▊       | 477/1662 [53:18<1:31:39,  4.64s/it]
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 8
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1416
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS270
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Micromass Q-Tof micro: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SG2W1001.CDF
FILES
SG2W101.CDF
FILES
SG2W201.CDF
FILES
SG2W301.CDF
FILES
SG2W401.CDF
FILES
SG2W501.CDF
FILES
SG2W601.CDF
FILES
SG2W701.CDF
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SG2W801.CDF
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SG2W901.CDF
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SG3W1001.CDF
FILES
SG3W101.CDF
FILES
SG3W201.CDF
FILES
SG3W301.CDF
FILES
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FILES
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FILES
SG3W601.CDF
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SG3W701.CDF
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SG3W801.CDF
FILES
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FILES
SG4W1001.CDF
FILES
SG4W101.CDF
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FILES
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FILES
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SG4W601.CDF
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FILES
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FILES
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SW3W801.CDF
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FILES
TG2W101.CDF
FILES
TG2W201.CDF
FILES
TG2W301.CDF
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TG2W401.CDF
FILES
TG2W501.CDF
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TG2W601.CDF
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TG2W701.CDF
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TG2W801.CDF
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TG2W901.CDF
FILES
TG3W1001.CDF
FILES
TG3W101.CDF
FILES
TG3W201.CDF
FILES
TG3W301.CDF
FILES
TG3W401.CDF
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TG3W601.CDF
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TG3W701.CDF
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TG3W801.CDF
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 204 rows!
Added 204 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2700
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker compact: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_100.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_102.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_104.mzXML
FILES
AMF_Fat_body_mzXML
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FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_106rep.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_108.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_110.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_112.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_114.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_116.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_54.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_54rep.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_56.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_56rep.mzXML
FILES
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M_sexta_21d_AMF_58.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_60.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_62.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_64.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_66.mzXML
FILES
AMF_Fat_body_mzXML
M_sexta_21d_AMF_68.mzXML
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M_sexta_21d_Trich_172.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Inoculation
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Harvest Date
Number of rows removed due to not enough metadata: 0
Returning 215 rows!
Added 215 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2712
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2716
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Accession Number.6/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 9
Returning 151 rows!
Added 151 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1435
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS272
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS273
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2737
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS274
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2744
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Culture medium
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Cell line
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 10
Returning 89 rows!
Added 89 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2746
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
  Thermo Scientific Orbitrap ID-X Tribrid: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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cardiomyocytes
RP_C18_positive
QC_cell_10.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_11.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_12.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_13_MSMS.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_14_MSMS.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_15_MSMS.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_2.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_3.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_4.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_5.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_6.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_7.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_8.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_cell_9.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_1.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_10.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_11.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_12.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_13.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_14.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_15.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_16_MSMS_200_400.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_17_MSMS_400_700.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_18_MSMS_700_1500.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_2.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_3.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_4.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_5.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_6.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_7.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_8.mzML
FILES
cardiomyocytes
RP_C18_positive
QC_media_9.mzML
FILES
cardiomyocytes
RP_C18_positive
blank_cell_end.mzML
FILES
cardiomyocytes
RP_C18_positive
blank_cell_start.mzML
FILES
cardiomyocytes
RP_C18_positive
blank_media_end.mzML
FILES
cardiomyocytes
RP_C18_positive
blank_media_start.mzML
FILES
human_plasma
HILIC_positive
QC01.mzML
FILES
human_plasma
HILIC_positive
QC02.mzML
FILES
human_plasma
HILIC_positive
QC03.mzML
FILES
human_plasma
HILIC_positive
QC04.mzML
FILES
human_plasma
HILIC_positive
QC05.mzML
FILES
human_plasma
HILIC_positive
QC06.mzML
FILES
human_plasma
HILIC_positive
QC07.mzML
FILES
human_plasma
HILIC_positive
QC08.mzML
FILES
human_plasma
HILIC_positive
QC09.mzML
FILES
human_plasma
HILIC_positive
QC10.mzML
FILES
human_plasma
HILIC_positive
QC11.mzML
FILES
human_plasma
HILIC_positive
QC12.mzML
FILES
human_plasma
HILIC_positive
QC13.mzML
FILES
human_plasma
HILIC_positive
QC14.mzML
FILES
human_plasma
HILIC_positive
S01.mzML
FILES
human_plasma
HILIC_positive
S02.mzML
FILES
human_plasma
HILIC_positive
S03.mzML
FILES
human_plasma
HILIC_positive
S04.mzML
FILES
human_plasma
HILIC_positive
S05.mzML
FILES
human_plasma
HILIC_positive
S06.mzML
FILES
human_plasma
HILIC_positive
S07.mzML
FILES
human_plasma
HILIC_positive
S08.mzML
FILES
human_plasma
HILIC_positive
S09.mzML
FILES
human_plasma
HILIC_positive
S10.mzML
FILES
human_plasma
HILIC_positive
S11.mzML
FILES
human_plasma
HILIC_positive
S12.mzML
FILES
human_plasma
HILIC_positive
S13.mzML
FILES
human_plasma
HILIC_positive
S14.mzML
FILES
human_plasma
HILIC_positive
S15.mzML
FILES
human_plasma
HILIC_positive
S16.mzML
FILES
human_plasma
HILIC_positive
S17.mzML
FILES
human_plasma
HILIC_positive
S18.mzML
FILES
human_plasma
HILIC_positive
S19.mzML
FILES
human_plasma
HILIC_positive
S20.mzML
FILES
human_plasma
HILIC_positive
S21.mzML
FILES
human_plasma
HILIC_positive
acetaminophen_MI-T.mzML
FILES
human_plasma
HILIC_positive
acetaminophen_MI-T_MSMS.mzML
FILES
human_plasma
HILIC_positive
amitriptyline_MI-T.mzML
FILES
human_plasma
HILIC_positive
amitriptyline_MI-T_MSMS.mzML
FILES
human_plasma
HILIC_positive
citalopram_MI-T.mzML
FILES
human_plasma
HILIC_positive
citalopram_MI-T_MSMS.mzML
FILES
human_plasma
HILIC_positive
desogestrel_MI-T.mzML
FILES
human_plasma
HILIC_positive
desogestrel_MI-T_MSMS.mzML
FILES
human_plasma
HILIC_positive
extract_blank_end.mzML
FILES
human_plasma
HILIC_positive
extract_blank_start.mzML
FILES
human_plasma
HILIC_positive
lansoprazole_MI-T.mzML
FILES
human_plasma
HILIC_positive
lansoprazole_MI-T_MSMS.mzML
FILES
human_plasma
HILIC_positive
ramipril_MI-T.mzML
FILES
human_plasma
HILIC_positive
ramipril_MI-T_MSMS.mzML
FILES
human_plasma
HILIC_positive
salbutamol_MI-T.mzML
FILES
human_plasma
HILIC_positive
salbutamol_MI-T_MSMS.mzML
FILES
rat_cardiac_tissue
HILIC_negative
26.mzML
FILES
rat_cardiac_tissue
HILIC_negative
27.mzML
FILES
rat_cardiac_tissue
HILIC_negative
28.mzML
FILES
rat_cardiac_tissue
HILIC_negative
29.mzML
FILES
rat_cardiac_tissue
HILIC_negative
30.mzML
FILES
rat_cardiac_tissue
HILIC_negative
31.mzML
FILES
rat_cardiac_tissue
HILIC_negative
32.mzML
FILES
rat_cardiac_tissue
HILIC_negative
32_AZ_Heart_HILIC_NEG_1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
32_AZ_Heart_HILIC_NEG_2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
32_AZ_Heart_HILIC_NEG_3.mzML
FILES
rat_cardiac_tissue
HILIC_negative
33.mzML
FILES
rat_cardiac_tissue
HILIC_negative
33_AZ_Heart_HILIC_NEG_1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
33_AZ_Heart_HILIC_NEG_2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
33_AZ_Heart_HILIC_NEG_3.mzML
FILES
rat_cardiac_tissue
HILIC_negative
34.mzML
FILES
rat_cardiac_tissue
HILIC_negative
34_AZ_Heart_HILIC_NEG_1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
34_AZ_Heart_HILIC_NEG_2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
34_AZ_Heart_HILIC_NEG_3.mzML
FILES
rat_cardiac_tissue
HILIC_negative
35.mzML
FILES
rat_cardiac_tissue
HILIC_negative
61.mzML
FILES
rat_cardiac_tissue
HILIC_negative
62.mzML
FILES
rat_cardiac_tissue
HILIC_negative
63.mzML
FILES
rat_cardiac_tissue
HILIC_negative
64.mzML
FILES
rat_cardiac_tissue
HILIC_negative
65.mzML
FILES
rat_cardiac_tissue
HILIC_negative
66.mzML
FILES
rat_cardiac_tissue
HILIC_negative
67.mzML
FILES
rat_cardiac_tissue
HILIC_negative
67_SUN_Heart_HILIC_NEG_1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
67_SUN_Heart_HILIC_NEG_2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
68.mzML
FILES
rat_cardiac_tissue
HILIC_negative
68_SUN_Heart_HILIC_NEG_1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
68_SUN_Heart_HILIC_NEG_2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
69.mzML
FILES
rat_cardiac_tissue
HILIC_negative
70.mzML
FILES
rat_cardiac_tissue
HILIC_negative
70_SUN_Heart_HILIC_NEG_1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
70_SUN_Heart_HILIC_NEG_2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
AZ_compound_MSMS_neg.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC1.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC10.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC11.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC12.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC13.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC14.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC15.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC16.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC2.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC3.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC4.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC5.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC9.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC_6_MSMS_70_200_HIL_NEG.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC_7_MSMS_200_400_HIL_NEG.mzML
FILES
rat_cardiac_tissue
HILIC_negative
QC_8_MSMS_400_1000_HIL_NEG.mzML
FILES
rat_cardiac_tissue
HILIC_negative
Sunitinib_new_MSMS_neg.mzML
FILES
rat_cardiac_tissue
HILIC_negative
extract_blank_end.mzML
FILES
rat_cardiac_tissue
HILIC_negative
extract_blank_start.mzML
FILES
rat_cardiac_tissue
HILIC_positive
26.mzML
FILES
rat_cardiac_tissue
HILIC_positive
27.mzML
FILES
rat_cardiac_tissue
HILIC_positive
28.mzML
FILES
rat_cardiac_tissue
HILIC_positive
29.mzML
FILES
rat_cardiac_tissue
HILIC_positive
30.mzML
FILES
rat_cardiac_tissue
HILIC_positive
31.mzML
FILES
rat_cardiac_tissue
HILIC_positive
32.mzML
FILES
rat_cardiac_tissue
HILIC_positive
32_AZ_Heart_HILIC_POS_1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
32_AZ_Heart_HILIC_POS_2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
32_AZ_Heart_HILIC_POS_3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
33.mzML
FILES
rat_cardiac_tissue
HILIC_positive
33_AZ_Heart_HILIC_POS_1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
33_AZ_Heart_HILIC_POS_2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
33_AZ_Heart_HILIC_POS_3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
34.mzML
FILES
rat_cardiac_tissue
HILIC_positive
34_AZ_Heart_HILIC_POS_1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
34_AZ_Heart_HILIC_POS_2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
34_AZ_Heart_HILIC_POS_3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
35.mzML
FILES
rat_cardiac_tissue
HILIC_positive
61.mzML
FILES
rat_cardiac_tissue
HILIC_positive
62.mzML
FILES
rat_cardiac_tissue
HILIC_positive
63.mzML
FILES
rat_cardiac_tissue
HILIC_positive
64.mzML
FILES
rat_cardiac_tissue
HILIC_positive
65.mzML
FILES
rat_cardiac_tissue
HILIC_positive
66.mzML
FILES
rat_cardiac_tissue
HILIC_positive
67.mzML
FILES
rat_cardiac_tissue
HILIC_positive
67_SUN_Heart_HILIC_POS_1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
67_SUN_Heart_HILIC_POS_2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
67_SUN_Heart_HILIC_POS_3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
68.mzML
FILES
rat_cardiac_tissue
HILIC_positive
68_SUN_Heart_HILIC_POS_1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
68_SUN_Heart_HILIC_POS_2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
68_SUN_Heart_HILIC_POS_3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
69.mzML
FILES
rat_cardiac_tissue
HILIC_positive
70.mzML
FILES
rat_cardiac_tissue
HILIC_positive
70_SUN_Heart_HILIC_POS_1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
70_SUN_Heart_HILIC_POS_2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
70_SUN_Heart_HILIC_POS_3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
AZ_compound_MSMS_POS.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC1.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC10.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC11.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC12.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC13.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC14.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC15.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC16.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC2.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC3.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC4.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC5.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC9.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC_6_MSMS_70_200_HIL_POS.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC_7_MSMS_200_400_HIL_POS.mzML
FILES
rat_cardiac_tissue
HILIC_positive
QC_8_MSMS_400_1000_HIL_POS.mzML
FILES
rat_cardiac_tissue
HILIC_positive
Sunitinib_new_MSMS_POS.mzML
FILES
rat_cardiac_tissue
HILIC_positive
extract_blank_end.mzML
FILES
rat_cardiac_tissue
HILIC_positive
extract_blank_start.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
26.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
27.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
28.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
29.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
30.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
31.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
32.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
32_AZ_Heart_LIPIDS_NEG_1.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
32_AZ_Heart_LIPIDS_NEG_2.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
33.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
33_AZ_Heart_LIPIDS_NEG_1.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
33_AZ_Heart_LIPIDS_NEG_2.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
34.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
34_AZ_Heart_LIPIDS_NEG_1.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
34_AZ_Heart_LIPIDS_NEG_2.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
35.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
61.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
62.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
63.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
64.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
65.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
66.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
67.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
67_SUN_Heart_LIPIDS_NEG_1.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
67_SUN_Heart_LIPIDS_NEG_2.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
68.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
68_SUN_Heart_LIPIDS_NEG_1.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
68_SUN_Heart_LIPIDS_NEG_2.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
69.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
70.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
70_SUN_Heart_LIPIDS_NEG_1.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
70_SUN_Heart_LIPIDS_NEG_2.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
AZ_compound_MSMS_neg.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC01.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC02.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC03.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC04.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC05.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC06_MSMS_200_400.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC07_MSMS_400_700.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC08_MSMS_700_1500.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC09.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC10.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC11.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC12.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC13.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC14.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC15.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
QC16.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
Sunitinib_new_MSMS_neg.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
extract_blank_end.mzML
FILES
rat_cardiac_tissue
RP_C18_negative
extract_blank_start.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
26.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
27.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
28.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
29.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
30.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
31.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
32.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
32_AZ_Heart_LIPIDS_POS_1.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
32_AZ_Heart_LIPIDS_POS_2.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
32_AZ_Heart_LIPIDS_POS_3.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
32_AZ_Heart_LIPIDS_POS_4.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
32_AZ_Heart_LIPIDS_POS_5.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
33.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
33_AZ_Heart_LIPIDS_POS_1.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
33_AZ_Heart_LIPIDS_POS_2.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
33_AZ_Heart_LIPIDS_POS_3.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
33_AZ_Heart_LIPIDS_POS_4.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
33_AZ_Heart_LIPIDS_POS_5.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
34.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
34_AZ_Heart_LIPIDS_POS_1.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
34_AZ_Heart_LIPIDS_POS_2.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
34_AZ_Heart_LIPIDS_POS_3.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
34_AZ_Heart_LIPIDS_POS_4.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
34_AZ_Heart_LIPIDS_POS_5.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
35.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
61.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
62.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
63.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
64.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
65.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
66.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
67.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
67_SUN_Heart_LIPIDS_POS_1.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
67_SUN_Heart_LIPIDS_POS_2.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
67_SUN_Heart_LIPIDS_POS_3.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
68.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
68_SUN_Heart_LIPIDS_POS_1.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
68_SUN_Heart_LIPIDS_POS_2.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
68_SUN_Heart_LIPIDS_POS_3.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
69.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
70.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
70_SUN_Heart_LIPIDS_POS_1.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
70_SUN_Heart_LIPIDS_POS_2.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
70_SUN_Heart_LIPIDS_POS_3.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
AZ_compound_MSMS_POS.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC01.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC02.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC03.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC04.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC05.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC06_MSMS_200_400.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC07_MSMS_400_700.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC08_MSMS_700_1500.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC09.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC10.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC11.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC12.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC13.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC14.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC15.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
QC16.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
Sunitinib_new_MSMS_POS.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
extract_blank_end.mzML
FILES
rat_cardiac_tissue
RP_C18_positive
extract_blank_start.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_02.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_04.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_05.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_06.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_07.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_08.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_10.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_11.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_12.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_13.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_14.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_16.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_17.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_19.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_21.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_22.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_24.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_26.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_27.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_28.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_29.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_30.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_32.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_34.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_36.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_37.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_38.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_38_AZ_Serum_HILIC_NEG_1.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_38_AZ_Serum_HILIC_NEG_2.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_39.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_41.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_43.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_46.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_47.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_48.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_48_AZ_Serum_HILIC_NEG_1.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_48_AZ_Serum_HILIC_NEG_2.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_50.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_52.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_53.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_54.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_56.mzML
FILES
rat_plasma_KU60648
HILIC_negative
AZ_58.mzML
FILES
rat_plasma_KU60648
HILIC_negative
Extract_blank_end.mzML
FILES
rat_plasma_KU60648
HILIC_negative
Extract_blank_start.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC01.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC02.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC03.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC04.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC05.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC06_MSMS_70_200_HIL_POS.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC07_MSMS_200_400.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC08_MSMS_400_1000_HIL_POS.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC09.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC10.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC11.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC12.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC13.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC14.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC15.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC16.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC17.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC18.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC19.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC20.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC21.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC22.mzML
FILES
rat_plasma_KU60648
HILIC_negative
QC23.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_02.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_04.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_05.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_06.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_07.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_08.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_10.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_11.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_12.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_13.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_14.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_14_AZ_Serum_HILIC_POS_1.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_14_AZ_Serum_HILIC_POS_2.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_14_AZ_Serum_HILIC_POS_3.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_16.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_17.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_19.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_21.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_22.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_24.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_26.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_27.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_28.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_29.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_30.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_32.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_34.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_36.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_37.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_38.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_38_AZ_Serum_HILIC_POS_1.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_38_AZ_Serum_HILIC_POS_2.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_38_AZ_Serum_HILIC_POS_3.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_39.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_41.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_43.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_46.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_47.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_48.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_48_AZ_Serum_HILIC_POS_1.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_48_AZ_Serum_HILIC_POS_2.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_48_AZ_Serum_HILIC_POS_3.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_50.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_52.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_53.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_54.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_56.mzML
FILES
rat_plasma_KU60648
HILIC_positive
AZ_58.mzML
FILES
rat_plasma_KU60648
HILIC_positive
Extract_blank_end.mzML
FILES
rat_plasma_KU60648
HILIC_positive
Extract_blank_start.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC01.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC02.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC03.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC04.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC05.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC06_MSMS_70_200_HIL_POS.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC07_MSMS_200_400.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC08_MSMS_400_1000_HIL_POS.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC09.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC10.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC11.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC12.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC13.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC14.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC15.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC16.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC17.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC18.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC19.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC20.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC21.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC22.mzML
FILES
rat_plasma_KU60648
HILIC_positive
QC23.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_02.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_04.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_05.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_06.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_07.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_08.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_10.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_11.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_12.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_13.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_14.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_14_AZ_Serum_LIPIDS_NEG_1.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_16.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_17.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_19.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_21.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_22.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_24.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_26.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_27.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_28.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_29.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_30.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_32.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_34.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_36.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_37.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_38.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_38_AZ_Serum_LIPIDS_NEG_1.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_39.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_41.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_43.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_46.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_47.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_48.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_48_AZ_Serum_LIPIDS_NEG_1.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_50.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_52.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_53.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_54.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_56.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
AZ_58.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
Extract_blank_end.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
Extract_blank_start.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC01.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC02.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC03.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC04.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC05.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC06_MSMS_200_400.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC07_MSMS_400_700.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC08_MSMS_700_1500.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC09.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC10.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC11.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC12.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC13.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC14.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC15.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC16.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC17.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC18.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC19.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC20.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC21.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC22.mzML
FILES
rat_plasma_KU60648
RP_C18_negative
QC23.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_02.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_04.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_05.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_06.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_07.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_08.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_10.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_11.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_12.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_13.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_14.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_14_AZ_Serum_LIPIDS_POS_1.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_14_AZ_Serum_LIPIDS_POS_2.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_14_AZ_Serum_LIPIDS_POS_3.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_16.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_17.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_19.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_21.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_22.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_24.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_26.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_27.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_28.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_29.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_30.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_32.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_34.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_36.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_37.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_38.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_38_AZ_Serum_LIPIDS_POS_1.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_38_AZ_Serum_LIPIDS_POS_2.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_38_AZ_Serum_LIPIDS_POS_3.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_39.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_41.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_43.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_46.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_47.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_48.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_48_AZ_Serum_LIPIDS_POS_1.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_48_AZ_Serum_LIPIDS_POS_2.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_48_AZ_Serum_LIPIDS_POS_3.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_50.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_52.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_53.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_54.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_56.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
AZ_58.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
Extract_blank_end.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
Extract_blank_start.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC01.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC02.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC03.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC04.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC05.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC06_MSMS_200_400.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC07_MSMS_400_700.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC08_MSMS_700_1500.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC09.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC10.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC11.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC12.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC13.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC14.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC15.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC16.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC17.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC18.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC19.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC20.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC21.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC22.mzML
FILES
rat_plasma_KU60648
RP_C18_positive
QC23.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_100.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_101.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_102.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_103.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_104.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_106.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_107.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_108.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_109.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_110.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_111.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_112.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_113.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_114.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_115.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_116.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_117.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_119.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_120.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_120_SUN_Serum_HILIC_NEG_1.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_121.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_124.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_126.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_129.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_130.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_132.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_133.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_134.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_135.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_136.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_137.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_138.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_61.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_62.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_66.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_69.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_70.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_71.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_72.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_74.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_75.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_76.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_77.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_78.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_79.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_80.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_81.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_82.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_83.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_84.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_85.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_86.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_87.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_89.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_90.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_91.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_91_SUN_Serum_HILIC_NEG_1.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_94.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_95.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_97.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
AZ_99.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
Extract_blank_end.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
Extract_blank_start.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC01.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC02.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC03.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC04.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC05.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC06_MSMS_70_200.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC07_MSMS_200_400.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC08_MSMS_400_1000.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC09.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC10.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC11.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC12.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC13.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC14.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC15.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC16.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC17.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC18.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC19.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC20.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC21.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC22.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC23.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC24.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC25.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC26.mzML
FILES
rat_plasma_sunitinib
HILIC_negative
QC27.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_100.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_101.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_102.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_103.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_104.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_106.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_107.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_108.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_109.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_110.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_111.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_112.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_113.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_114.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_115.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_116.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_117.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_119.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_120.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_120_SUN_Serum_HILIC_POS_1.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_120_SUN_Serum_HILIC_POS_2.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_121.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_124.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_126.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_129.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_130.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_132.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_133.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_134.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_135.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_136.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_137.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_138.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_61.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_62.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_66.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_69.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_70.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_71.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_72.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_74.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_75.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_76.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_77.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_78.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_79.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_80.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_81.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_82.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_83.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_84.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_85.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_86.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_87.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_89.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_90.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_91.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_91_SUN_Serum_HILIC_POS_1.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_91_SUN_Serum_HILIC_POS_2.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_94.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_95.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_97.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
AZ_99.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
Extract_blank_end.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
Extract_blank_start.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC01.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC02.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC03.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC04.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC05.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC06_MSMS_70_200.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC07_MSMS_200_400.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC08_MSMS_400_1000.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC09.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC10.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC11.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC12.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC13.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC14.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC15.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC16.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC17.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC18.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC19.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC20.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC21.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC22.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC23.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC24.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC25.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC26.mzML
FILES
rat_plasma_sunitinib
HILIC_positive
QC27.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_100.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_101.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_102.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_103.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_104.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_106.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_107.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_108.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_109.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_110.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_111.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_112.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_113.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_114.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_115.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_116.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_117.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_119.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_120.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_120_SUN_Serum_LIPIDS_NEG_1.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_121.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_124.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_126.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_129.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_130.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_132.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_133.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_134.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_135.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_136.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_137.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_138.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_61.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_62.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_66.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_69.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_70.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_71.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_72.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_74.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_75.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_76.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_77.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_78.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_79.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_80.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_81.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_82.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_83.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_84.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_85.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_85_SUN_Serum_LIPIDS_NEG_1.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_86.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_87.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_89.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_90.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_91.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_91_SUN_Serum_LIPIDS_NEG_1.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_94.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_95.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_97.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
AZ_99.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
Extract_blank_end.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
Extract_blank_start.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC01.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC02.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC03.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC04.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC05.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC06_MSMS_200_400.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC07_MSMS_400_700.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC08_MSMS_700_1500.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC09.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC10.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC11.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC12.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC13.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC14.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC15.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC16.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC17.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC18.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC19.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC20.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC21.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC22.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC23.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC24.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC25.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC26.mzML
FILES
rat_plasma_sunitinib
RP_C18_negative
QC27.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_100.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_101.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_102.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_103.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_104.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_106.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_107.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_108.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_109.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_110.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_111.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_112.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_113.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_114.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_115.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_116.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_117.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_119.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_120.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_120_SUN_Serum_LIPIDS_POS_1.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_121.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_124.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_126.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_129.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_130.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_132.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_133.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_134.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_135.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_136.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_137.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_138.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_61.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_62.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_66.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_69.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_70.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_71.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_72.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_74.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_75.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_76.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_77.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_78.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_79.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_80.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_81.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_82.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_83.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_84.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_85.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_85_SUN_Serum_LIPIDS_POS_1.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_86.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_87.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_89.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_90.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_91.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_91_SUN_Serum_LIPIDS_POS_1.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_94.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_95.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_97.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
AZ_99.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
Extract_blank_end.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
Extract_blank_start.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC01.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC02.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC03.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC04.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC05.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC06_MSMS_200_400.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC07_MSMS_400_700.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC08_MSMS_700_1500.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC09.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC10.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC11.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC12.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC13.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC14.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC15.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC16.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC17.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC18.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC19.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC20.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC21.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC22.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC23.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC24.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC25.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC26.mzML
FILES
rat_plasma_sunitinib
RP_C18_positive
QC27.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  filepath
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Time
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 29%|██▉       | 487/1662 [54:17<3:23:24, 10.39s/it]
 29%|██▉       | 488/1662 [54:18<2:26:54,  7.51s/it]
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Subject ID
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Dataset
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 8
Returning 1209 rows!
Added 1209 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS275
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS277
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
001_CRa_H9M5_Blank_01_neg_high_mr.mzML
FILES
001_CRa_H9M5_Blank_01_neg_low_mr.mzML
FILES
001_CRa_H9M5_Blank_01_pos_high_mr.mzML
FILES
001_CRa_H9M5_Blank_01_pos_low_mr.mzML
FILES
002_CRa_H9M5_Blank_02_neg_high_mr.mzML
FILES
002_CRa_H9M5_Blank_02_neg_low_mr.mzML
FILES
002_CRa_H9M5_Blank_02_pos_high_mr.mzML
FILES
002_CRa_H9M5_Blank_02_pos_low_mr.mzML
FILES
004_CRa_H9M5_Pool_01_neg_high_mr.mzML
FILES
004_CRa_H9M5_Pool_01_neg_low_mr.mzML
FILES
004_CRa_H9M5_Pool_01_pos_high_mr.mzML
FILES
004_CRa_H9M5_Pool_01_pos_low_mr.mzML
FILES
005_CRa_H9M5_Pool_02_neg_high_mr.mzML
FILES
005_CRa_H9M5_Pool_02_neg_low_mr.mzML
FILES
005_CRa_H9M5_Pool_02_pos_high_mr.mzML
FILES
005_CRa_H9M5_Pool_02_pos_low_mr.mzML
FILES
006_CRa_H9M5_Pool_03_neg_high_mr.mzML
FILES
006_CRa_H9M5_Pool_03_neg_low_mr.mzML
FILES
006_CRa_H9M5_Pool_03_pos_high_mr.mzML
FILES
006_CRa_H9M5_Pool_03_pos_low_mr.mzML
FILES
007_CRa_H9M5_Blank_03_neg_high_mr.mzML
FILES
007_CRa_H9M5_Blank_03_neg_low_mr.mzML
FILES
007_CRa_H9M5_Blank_03_pos_high_mr.mzML
FILES
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IGNORED:  Samples_Organism part/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 29%|██▉       | 489/1662 [54:29<2:43:56,  8.39s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 29%|██▉       | 490/1662 [54:33<2:20:35,  7.20s/it]
IGNORED:  Samples_Term Accession Number
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Number of rows removed due to not enough metadata: 0
Returning 420 rows!
Added 420 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2771
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Sampling time
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 57 rows!
Added 57 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2772
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
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IGNORED:  Samples_Sample type
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IGNORED:  extension
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IGNORED:  Samples_Term Accession Number.8
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Weight
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 767 rows!
Added 767 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2774
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2776
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Fluid
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IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unnamed: 31
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Unnamed: 32
IGNORED:  Assay_Mass analyzer
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IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
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IGNORED:  Assay_Protocol REF.3
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IGNORED:  Is Organ
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IGNORED:  Assay_Derivatization
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Autosampler model
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
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Number of rows removed due to not enough metadata: 60
Returning 966 rows!
Added 966 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS278
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 4000: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 33 rows!
Added 33 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2782
Request successful!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 30%|██▉       | 495/1662 [55:24<2:40:52,  8.27s/it]
 30%|██▉       | 496/1662 [55:25<1:57:35,  6.05s/it]
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 107 rows!
Added 107 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS279
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2790
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6520A Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Samples_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 30%|██▉       | 497/1662 [55:30<1:53:13,  5.83s/it]
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 14 rows!
Added 14 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2795
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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SB095.raw
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Growth temperature
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Mutant
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Additive
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Collection Time Point
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Concentration
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Study Directory
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 30%|██▉       | 498/1662 [55:35<1:49:35,  5.65s/it]
 30%|███       | 499/1662 [55:36<1:22:14,  4.24s/it]
 30%|███       | 500/1662 [55:37<1:02:20,  3.22s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 30%|███       | 501/1662 [55:41<1:05:23,  3.38s/it]
 30%|███       | 502/1662 [55:41<50:35,  2.62s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 30%|███       | 503/1662 [55:49<1:18:16,  4.05s/it]
 30%|███       | 504/1662 [55:50<59:28,  3.08s/it]  
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS280
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2801
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2806
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
FILES
M101.raw
FILES
M102.raw
FILES
M103.raw
FILES
M104.raw
FILES
M105.raw
FILES
M106.raw
FILES
M107.raw
FILES
M108.raw
FILES
M109.raw
FILES
M110.raw
FILES
M111.raw
FILES
M112.raw
FILES
M113.raw
FILES
M114.raw
FILES
M115.raw
FILES
M116.raw
FILES
M117.raw
FILES
M118.raw
FILES
QC1.raw
FILES
QC2.raw
FILES
QC3.raw
FILES
QC4.raw
FILES
QC5.raw
FILES
QC6.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1537
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS281
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
mtab_sponge_ft_10.mzXML
FILES
mtab_sponge_ft_11.mzXML
FILES
mtab_sponge_ft_12.mzXML
FILES
mtab_sponge_ft_13.mzXML
FILES
mtab_sponge_ft_14.mzXML
FILES
mtab_sponge_ft_15.mzXML
FILES
mtab_sponge_ft_16.mzXML
FILES
mtab_sponge_ft_16.mzXML
FILES
mtab_sponge_ft_17.mzXML
FILES
mtab_sponge_ft_18.mzXML
FILES
mtab_sponge_ft_19.mzXML
FILES
mtab_sponge_ft_20.mzXML
FILES
mtab_sponge_ft_20.mzXML
FILES
mtab_sponge_ft_21.mzXML
FILES
mtab_sponge_ft_22.mzXML
FILES
mtab_sponge_ft_23.mzXML
FILES
mtab_sponge_ft_24.mzXML
FILES
mtab_sponge_ft_25.mzXML
FILES
mtab_sponge_ft_26.mzXML
FILES
mtab_sponge_tsq_22.raw
FILES
mtab_sponge_tsq_23.raw
FILES
mtab_sponge_tsq_24.raw
FILES
mtab_sponge_tsq_25.raw
FILES
mtab_sponge_tsq_26.raw
FILES
mtab_sponge_tsq_27.raw
FILES
mtab_sponge_tsq_27.raw
FILES
mtab_sponge_tsq_28.raw
FILES
mtab_sponge_tsq_32.raw
FILES
mtab_sponge_tsq_33.raw
FILES
mtab_sponge_tsq_33.raw
FILES
mtab_sponge_tsq_34.raw
FILES
mtab_sponge_tsq_35.raw
FILES
mtab_sponge_tsq_36.raw
FILES
mtab_sponge_tsq_37.raw
FILES
mtab_sponge_tsq_38.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Sample Type
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 3
Returning 32 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS282
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2824
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2825
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS283
Request successful!
SampleCollectionMethod: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███       | 507/1662 [55:56<53:31,  2.78s/it]
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ: missing value
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
1358BZU_0001_A1.mzML
FILES
1358BZU_0002_A1.mzML
FILES
1358BZU_0003_A1.mzML
FILES
1358BZU_0004_A1.mzML
FILES
1358BZU_0005_A1.mzML
FILES
1358BZU_0006_A1.mzML
FILES
1358BZU_0007_A1.mzML
FILES
1358BZU_0008_A1.mzML
FILES
1358BZU_0009_A1.mzML
FILES
1358BZU_0010_A1.mzML
FILES
1358BZU_0011_A1.mzML
FILES
1358BZU_0012_A1.mzML
FILES
1358BZU_0013_A1.mzML
FILES
1358BZU_0014_A1.mzML
FILES
1358BZU_0015_A1.mzML
FILES
1358BZU_0016_A1.mzML
FILES
1358BZU_0017_A1.mzML
FILES
1358BZU_0018_A1.mzML
FILES
1358BZU_0019_A1.mzML
FILES
1358BZU_0020_A1.mzML
FILES
1358BZU_0021_A1.mzML
FILES
1358BZU_0022_A1.mzML
FILES
1358BZU_0023_A1.mzML
FILES
1358BZU_0024_A1.mzML
FILES
1358BZU_0025_A1.mzML
FILES
1358BZU_0026_A1.mzML
FILES
1358BZU_0027_A1.mzML
FILES
1358BZU_0028_A1.mzML
FILES
1358BZU_0029_A1.mzML
FILES
1358BZU_0030_A1.mzML
FILES
1358BZU_0031_A1.mzML
FILES
1358BZU_0032_A1.mzML
FILES
1358BZU_0033_A1.mzML
FILES
1358BZU_0034_A1.mzML
FILES
1358BZU_0035_A1.mzML
FILES
1358BZU_0036_A1.mzML
FILES
1358FZU_0001_A1.CDF
FILES
1358FZU_0002_A1.CDF
FILES
1358FZU_0003_A1.CDF
FILES
1358FZU_0004_A1.CDF
FILES
1358FZU_0005_A1.CDF
FILES
1358FZU_0006_A1.CDF
FILES
1358FZU_0007_A1.CDF
FILES
1358FZU_0008_A1.CDF
FILES
1358FZU_0009_A1.CDF
FILES
1358FZU_0010_A1.CDF
FILES
1358FZU_0011_A1.CDF
FILES
1358FZU_0012_A1.CDF
FILES
1358FZU_0013_A1.CDF
FILES
1358FZU_0014_A1.CDF
FILES
1358FZU_0015_A1.CDF
FILES
1358FZU_0016_A1.CDF
FILES
1358FZU_0017_A1.CDF
FILES
1358FZU_0018_A1.CDF
FILES
1358FZU_0019_A1.CDF
FILES
1358FZU_0020_A1.CDF
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1358FZU_0021_A1.CDF
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1358FZU_0022_A1.CDF
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1358FZU_0023_A1.CDF
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1358FZU_0024_A1.CDF
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1358FZU_0025_A1.CDF
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1358FZU_0026_A1.CDF
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1358FZU_0027_A1.CDF
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1358FZU_0028_A1.CDF
FILES
1358FZU_0029_A1.CDF
FILES
1358FZU_0030_A1.CDF
FILES
1358FZU_0031_A1.CDF
FILES
1358FZU_0032_A1.CDF
FILES
1358FZU_0033_A1.CDF
FILES
1358FZU_0034_A1.CDF
FILES
1358FZU_0035_A1.CDF
FILES
1358FZU_0036_A1.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Control/Ikaros
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2831
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2 QTof: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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13C3V2017RPPOSITIVELEAF01.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Rootstock
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Phenology
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Row
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 133 rows!
Added 133 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2838
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Depth
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_CTD Cast Number
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Longitude
IGNORED:  Samples_Deployment
IGNORED:  Samples_Station
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Resolution
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Signal range
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Depth Group
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Samples_Unit.6
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Phosphate
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_CTD Water Temperature
IGNORED:  Samples_Unit.5
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_UTC Date and Time
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Samples_Filter Volume
IGNORED:  Assay_Column model
IGNORED:  Samples_Latitude
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Nitrate + Nitrite
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1054 rows!
Added 1054 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS284
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
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Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 500 rows!
Added 500 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2840
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Orbitrap ID-X Tribrid: missing value
  Thermo Scientific Q Exactive HF: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Accession Number/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███       | 511/1662 [56:53<3:32:20, 11.07s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Term Source REF.3
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Number of rows removed due to not enough metadata: 12
Returning 112 rows!
Added 112 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2841
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Returning 25 rows!
Added 25 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2851
Request successful!
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Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2852
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2855
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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mtab_TSQ_Webber_2019_0308_168.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS286
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2863
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███       | 517/1662 [57:17<1:26:38,  4.54s/it]
IGNORED:  Samples_Term Accession Number.3
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2870
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███       | 518/1662 [57:23<1:35:05,  4.99s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███       | 519/1662 [57:28<1:32:48,  4.87s/it]
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 59 rows!
Added 59 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2871
Request successful!
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Number of rows removed due to not enough metadata: 0
Returning 94 rows!
Added 94 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2876
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Quantum XLS: missing value
  Thermo Scientific TSQ Quantum: missing value
  AB SCIEX QTRAP 5500: missing value
  Waters Xevo TQ: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Leaves (83).raw
FILES
Assay_4
Leaves (84).raw
FILES
Assay_4
Leaves (85).raw
FILES
Assay_4
Leaves (86).raw
FILES
Assay_4
Leaves (87).raw
FILES
Assay_4
Leaves (88).raw
FILES
Assay_4
Leaves (89).raw
FILES
Assay_4
Leaves (9).raw
FILES
Assay_4
Leaves (90).raw
FILES
Assay_4
Leaves (91).raw
FILES
Assay_4
Leaves (92).raw
FILES
Assay_4
Leaves (93).raw
FILES
Assay_4
Leaves (94).raw
FILES
Assay_4
Leaves (95).raw
FILES
Assay_4
Leaves (96).raw
FILES
Assay_4
Leaves (97).raw
FILES
Assay_4
Leaves (98).raw
FILES
Assay_4
Leaves (99).raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Year
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Hours Post Inoculation (hpi)
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Rpv
Number of rows removed due to not enough metadata: 0
Returning 1437 rows!
Added 1437 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2878
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███▏      | 521/1662 [57:56<2:43:31,  8.60s/it]
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
Cd-1.NEG.mzXML
FILES
DERIVED_FILES
NEG
Cd-2.NEG.mzXML
FILES
DERIVED_FILES
NEG
Cd-3.NEG.mzXML
FILES
DERIVED_FILES
NEG
EM-1.NEG.mzXML
FILES
DERIVED_FILES
NEG
EM-2.NEG.mzXML
FILES
DERIVED_FILES
NEG
EM-3.NEG.mzXML
FILES
DERIVED_FILES
NEG
Prm-1.NEG.mzXML
FILES
DERIVED_FILES
NEG
Prm-2.NEG.mzXML
FILES
DERIVED_FILES
NEG
Prm-3.NEG.mzXML
FILES
DERIVED_FILES
NEG
free-N-1.NEG.mzXML
FILES
DERIVED_FILES
NEG
free-N-2.NEG.mzXML
FILES
DERIVED_FILES
NEG
free-N-3.NEG.mzXML
FILES
DERIVED_FILES
POS
Cd-1.POS.mzXML
FILES
DERIVED_FILES
POS
Cd-2.POS.mzXML
FILES
DERIVED_FILES
POS
Cd-3.POS.mzXML
FILES
DERIVED_FILES
POS
EM-1.POS.mzXML
FILES
DERIVED_FILES
POS
EM-2.POS.mzXML
FILES
DERIVED_FILES
POS
EM-3.POS.mzXML
FILES
DERIVED_FILES
POS
Prm-1.POS.mzXML
FILES
DERIVED_FILES
POS
Prm-2.POS.mzXML
FILES
DERIVED_FILES
POS
Prm-3.POS.mzXML
FILES
DERIVED_FILES
POS
free-N-1.POS.mzXML
FILES
DERIVED_FILES
POS
free-N-2.POS.mzXML
FILES
DERIVED_FILES
POS
free-N-3.POS.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS288
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  ThermoQuest Voyager: missing value
IonizationSourceAndPolarity:
  electron ionization (negative): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
13242ob_1.cdf
FILES
13242ob_10.cdf
FILES
13242ob_11.cdf
FILES
13242ob_12.cdf
FILES
13242ob_13.cdf
FILES
13242ob_14.cdf
FILES
13242ob_15.cdf
FILES
13242ob_16.cdf
FILES
13242ob_17.cdf
FILES
13242ob_18.cdf
FILES
13242ob_19.cdf
FILES
13242ob_2.cdf
FILES
13242ob_20.cdf
FILES
13242ob_21.cdf
FILES
13242ob_22.cdf
FILES
13242ob_23.cdf
FILES
13242ob_24.cdf
FILES
13242ob_25.cdf
FILES
13242ob_26.cdf
FILES
13242ob_27.cdf
FILES
13242ob_28.cdf
FILES
13242ob_29.cdf
FILES
13242ob_3.cdf
FILES
13242ob_30.cdf
FILES
13242ob_31.cdf
FILES
13242ob_32.cdf
FILES
13242ob_33.cdf
FILES
13242ob_34.cdf
FILES
13242ob_35.cdf
FILES
13242ob_36.cdf
FILES
13242ob_37.cdf
FILES
13242ob_38.cdf
FILES
13242ob_39.cdf
FILES
13242ob_4.cdf
FILES
13242ob_40.cdf
FILES
13242ob_41.cdf
FILES
13242ob_42.cdf
FILES
13242ob_43.cdf
FILES
13242ob_44.cdf
FILES
13242ob_45.cdf
FILES
13242ob_46.cdf
FILES
13242ob_47.cdf
FILES
13242ob_48.cdf
FILES
13242ob_49.cdf
FILES
13242ob_5.cdf
FILES
13242ob_50.cdf
FILES
13242ob_51.cdf
FILES
13242ob_52.cdf
FILES
13242ob_53.cdf
FILES
13242ob_54.cdf
FILES
13242ob_55.cdf
FILES
13242ob_56.cdf
FILES
13242ob_57.cdf
FILES
13242ob_58.cdf
FILES
13242ob_59.cdf
FILES
13242ob_6.cdf
FILES
13242ob_60.cdf
FILES
13242ob_61.cdf
FILES
13242ob_62.cdf
FILES
13242ob_63.cdf
FILES
13242ob_64.cdf
FILES
13242ob_65.cdf
FILES
13242ob_66.cdf
FILES
13242ob_67.cdf
FILES
13242ob_68.cdf
FILES
13242ob_69.cdf
FILES
13242ob_7.cdf
FILES
13242ob_70.cdf
FILES
13242ob_71.cdf
FILES
13242ob_72.cdf
FILES
13242ob_73.cdf
FILES
13242ob_74.cdf
FILES
13242ob_75.cdf
FILES
13242ob_76.cdf
FILES
13242ob_77.cdf
FILES
13242ob_78.cdf
FILES
13242ob_79.cdf
FILES
13242ob_8.cdf
FILES
13242ob_80.cdf
FILES
13242ob_81.cdf
FILES
13242ob_9.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_rice seed developmental stage
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_different cultivar
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 81 rows!
Added 81 samples./app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 31%|███▏      | 522/1662 [58:01<2:24:12,  7.59s/it]
 31%|███▏      | 523/1662 [58:02<1:45:22,  5.55s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 32%|███▏      | 524/1662 [58:06<1:33:50,  4.95s/it]
 32%|███▏      | 525/1662 [58:06<1:10:25,  3.72s/it]
 32%|███▏      | 526/1662 [58:08<58:58,  3.12s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 32%|███▏      | 527/1662 [58:13<1:06:51,  3.53s/it]
 32%|███▏      | 528/1662 [58:13<51:12,  2.71s/it]  
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2885
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2887
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
EG2-1.mzXML
FILES
EG2-2.mzXML
FILES
EG2-3.mzXML
FILES
EG2-4.mzXML
FILES
EG2-5.mzXML
FILES
EG2-6.mzXML
FILES
EG2-7.mzXML
FILES
EG2-8.mzXML
FILES
EG5-1.mzXML
FILES
EG5-2.mzXML
FILES
EG5-3.mzXML
FILES
EG5-4.mzXML
FILES
EG5-5.mzXML
FILES
EG5-6.mzXML
FILES
EG5-7.mzXML
FILES
EG5-8.mzXML
FILES
QC01.mzXML
FILES
QC02.mzXML
FILES
QC03.mzXML
FILES
QC04.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS289
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS29
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS290
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
FILES
2014-02-13 LUNA 100x2mm ASFIXIE.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Sample collection time
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 1
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2903
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS291
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis UHR-ToF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Cel_1-A,8_01_21040.mzML
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Cel_1-A,8_02_21041.mzML
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Cer_brain_AutoMS_2-A,3_04_18463.mzML
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Cer_egg_AutoMS_2-A,4_03_18477.mzML
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PC_1-A,3_01_21015.mzML
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PC_1-A,3_02_21016.mzML
FILES
PC_1-A,3_03_21017.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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TG_AutoMS_2-A,6_03_18507.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 45
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS179
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA07POSEAR20160107_IMPE0414MD_HUMAN_LUNG_17.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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QXA07POSEAR20160107_IMPE0414MD_HUMAN_LUNG_34.mzML
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QXA07POSEAR20160107_IMPE0414MD_HUMAN_LUNG_35.mzML
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QXA07POSLAT20160107_IMPE0414MD_HUMAN_LUNG_17.mzML
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QXA07POSLAT20160107_IMPE0414MD_HUMAN_LUNG_27.mzML
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QXA07POSLAT20160107_IMPE0414MD_HUMAN_LUNG_35.mzML
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Number of rows removed due to not enough metadata: 0
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS164
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2914
Request successful!
SampleCollectionMethod: ADDED!
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FILES
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IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 32%|███▏      | 532/1662 [58:34<1:17:16,  4.10s/it]
 32%|███▏      | 533/1662 [58:35<1:00:05,  3.19s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 32%|███▏      | 534/1662 [58:40<1:10:09,  3.73s/it]
 32%|███▏      | 535/1662 [58:41<54:03,  2.88s/it]  
IGNORED:  row_id
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Number of rows removed due to not enough metadata: 4
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS292
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS293
Request successful!
SampleCollectionMethod: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 90 rows!
Added 45 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2935
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2942
 32%|███▏      | 536/1662 [58:42<42:05,  2.24s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 32%|███▏      | 537/1662 [58:46<50:29,  2.69s/it]
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2945
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
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FILES
RAW_FILES
POS
T9_pos.raw
FILES
RAW_FILES
QC1.raw
FILES
RAW_FILES
QC2.raw
FILES
RAW_FILES
QC3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 46 rows!
Added 46 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS295
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
mtab_ft_micro_rerun_26.RAW
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mtab_micro_012315_85.RAW/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 32%|███▏      | 538/1662 [58:51<1:04:06,  3.42s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
mtab_micro_012315_86.RAW
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mtab_tsq_cara_020615_102.raw
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mtab_tsq_cara_020615_106.raw
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mtab_tsq_cara_020615_37.raw
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mtab_tsq_cara_020615_61.raw
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mtab_tsq_cara_020615_69.raw
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FILES
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FILES
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FILES
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FILES
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FILES
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mtab_tsq_cara_020615_97.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Sample Type
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 147 rows!
Added 147 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2956
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
200616_AC_01_PP_1.raw
FILES
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200616_AC_02_PP_2.raw
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200616_AC_03_PP_3.raw
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200616_AC_Blank_3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Cultivar
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2959
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Eclipse: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
FILES
RAW_FILES
191213_S_GEES_01_01_monoMIX_800fmol_graphite_eclipse_colm5_CE40.raw
FILES
RAW_FILES
191213_S_GEES_01_01_monoMIX_800fmol_graphite_eclipse_colm5_CE60.raw
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FILES
RAW_FILES
200112_S_GEES_01_01_monoMIX1_800fmol_Grap5_Col8_PRM_CE80.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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FILES
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200112_S_GEES_03_01_monoMIX3_800fmol_Grap5_Col8_PRM_CE80.raw
FILES
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200112_S_GEES_04_01_monoMIX4_800fmol_Grap5_Col8_PRM_CE80.raw
FILES
RAW_FILES
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FILES
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200807_S_GEES_01_01_blank_DIACE20_CE80_2.raw
FILES
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200807_S_GEES_01_01_monoMIX_006fmol_Graphite_DIA_CE20_CE80.raw
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200807_S_GEES_01_01_monoMIX_012fmol_Graphite_DIA_CE20_CE80.raw
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200807_S_GEES_01_01_monoMIX_024fmol_Graphite_DIA_CE20_CE80.raw
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200807_S_GEES_01_01_monoMIX_16fmol_Graphite_DIA_CE20_CE80.raw
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Returning 3 rows!
Added 3 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS296
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2960
Request successful!
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TermsofPosition: ADDED!
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2963
Request successful!
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6_2422_EP.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 33%|███▎      | 543/1662 [59:18<1:47:25,  5.76s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 33%|███▎      | 545/1662 [59:23<1:19:39,  4.28s/it]
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Samples_Sample Name
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IGNORED:  filename_lower
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IGNORED:  Samples_MAP Infection
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
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Number of rows removed due to not enough metadata: 0
Returning 434 rows!
Added 434 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2967
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS297
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Organ
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_BioSamples Accession
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2970
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Serie_1_POS_QC_14.mzXML
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Serie_1_POS_QC_2.mzXML
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Serie_1_POS_QC_20.mzXML
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Serie_1_POS_QC_8.mzXML
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Serie_1_POS_QC_9.mzXML
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Serie_2_NEG_158.mzXML
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Serie_2_NEG_159.mzXML
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Serie_2_POS_247.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 698 rows!
Added 698 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2974
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS298
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2980
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
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UBERONBodyPartName:
  : missing value
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 33%|███▎      | 549/1662 [59:44<1:24:13,  4.54s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 33%|███▎      | 550/1662 [59:48<1:21:21,  4.39s/it]
 33%|███▎      | 551/1662 [59:49<1:01:54,  3.34s/it]
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Number of rows removed due to not enough metadata: 2
Returning 64 rows!
Added 64 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS170
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Guard column
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Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS171
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2984
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 33%|███▎      | 552/1662 [59:53<1:04:03,  3.46s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 33%|███▎      | 553/1662 [1:00:00<1:21:33,  4.41s/it]
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Shimadzu GCMS-QP2010 Ultra: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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C2__20210222_26.CDF
FILES
DERIVED_FILES
C3__14112018_39.CDF
FILES
DERIVED_FILES
C3__20210222_32.CDF
FILES
DERIVED_FILES
C4__20210222_13.CDF
FILES
DERIVED_FILES
D1__14112018_32.CDF
FILES
DERIVED_FILES
D2__14112018_19.CDF
FILES
DERIVED_FILES
D3__14112018_34.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Sonication Temperature
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Sonication Time
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Sonication Experiment
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2993
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
FILES
DERIVED_FILES
Quantitative data-CK-1.mzML
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Quantitative data-CK-2.mzML
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Quantitative data-CK-3.mzML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS301
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA11NEG20171018_CNIO0117VW_MOUSE_CELLS2_25.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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QXA11NEG20171018_CNIO0117VW_MOUSE_CELLS2_27.mzML
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QXA11NEG20171018_CNIO0117VW_MOUSE_CELLS2_28.mzML
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Method 3
QXA11NEG20171018_CNIO0117VW_MOUSE_CELLS2_30.mzML
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QXA13POL20171018_CNIO0117VW_MOUSE_CELLS1_03.mzML
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QXA13POL20171018_CNIO0117VW_MOUSE_CELLS1_04.mzML
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QXA13POL20171018_CNIO0117VW_MOUSE_CELLS2_15.mzML
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QXA13POL20171018_CNIO0117VW_MOUSE_CELLS2_25.mzML
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QXA13POL20171018_CNIO0117VW_MOUSE_CELLS2_28.mzML
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Method 4
QXA13POL20171018_CNIO0117VW_MOUSE_CELLS2_30.mzML
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Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS303
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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 33%|███▎      | 556/1662 [1:00:13<1:12:42,  3.94s/it]
 34%|███▎      | 557/1662 [1:00:14<55:26,  3.01s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 150 rows!
Added 150 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3038
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS304
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS175
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-QP2010 Ultra: missing value
  Waters Synapt G1 HDMS System: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
MEJA100uM01.CDF
FILES
MEJA100uM02.CDF
FILES
MEJA100uM03.CDF
FILES
MEJA100uM04.CDF
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MEJA100uM05.CDF
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MEJA200uM01.CDF
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MEJA200uM02.CDF
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MEJA200uM06.CDF
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MEJA400uM01.CDF
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MEJA400uM04.CDF
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MEJA400uM05.CDF
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MEJA400uM06.CDF
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MEJACONTL01.CDF
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MEJACONTL02.CDF
FILES
MEJACONTL03.CDF
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MEJACONTL04.CDF
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MEJACONTL05.CDF
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MEJACONTL06.CDF
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MeJA100uMA1a.CDF
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MeJA100uMA1b.CDF
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MeJA100uMA2a.CDF
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MeJA100uMA2b.CDF
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MeJA100uMA3a.CDF
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MeJA100uMA3b.CDF
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MeJA100uMB1a.CDF
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MeJA100uMB1b.CDF
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MeJA100uMB2a.CDF
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MeJA100uMB2b.CDF
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MeJA100uMB3a.CDF
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MeJA100uMC1a.CDF
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MeJA100uMC3a.CDF
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MeJA200uMA1a.CDF
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MeJA200uMA1b.CDF
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MeJA200uMA2b.CDF
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MeJA200uMA3a.CDF
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MeJA200uMB1a.CDF
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MeJA200uMB2a.CDF
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MeJA200uMB2b.CDF
FILES
MeJA200uMB3a.CDF
FILES
MeJA200uMB3b.CDF
FILES
MeJA200uMC1a.CDF
FILES
MeJA200uMC1b.CDF
FILES
MeJA200uMC2a.CDF
FILES
MeJA200uMC2b.CDF
FILES
MeJA200uMC3a.CDF
FILES
MeJA200uMC3b.CDF
FILES
MeJA400uMA1a.CDF
FILES
MeJA400uMA1b.CDF
FILES
MeJA400uMA2a.CDF
FILES
MeJA400uMA2b.CDF
FILES
MeJA400uMA3a.CDF
FILES
MeJA400uMA3b.CDF
FILES
MeJA400uMB1a.CDF
FILES
MeJA400uMB1b.CDF
FILES
MeJA400uMB2a.CDF
FILES
MeJA400uMB2b.CDF
FILES
MeJA400uMB3a.CDF
FILES
MeJA400uMB3b.CDF
FILES
MeJA400uMC1a.CDF
FILES
MeJA400uMC1b.CDF
FILES
MeJA400uMC2a.CDF
FILES
MeJA400uMC2b.CDF
FILES
MeJA400uMC3a.CDF
FILES
MeJA400uMC3b.CDF
FILES
MeJAControlA1a.CDF
FILES
MeJAControlA1b.CDF
FILES
MeJAControlA2a.CDF
FILES
MeJAControlA2b.CDF
FILES
MeJAControlA3a.CDF
FILES
MeJAControlA3b.CDF
FILES
MeJAControlB1a.CDF
FILES
MeJAControlB1b.CDF
FILES
MeJAControlB2a.CDF
FILES
MeJAControlB2b.CDF
FILES
MeJAControlB3a.CDF
FILES
MeJAControlB3b.CDF
FILES
MeJAControlC1a.CDF
FILES
MeJAControlC1b.CDF
FILES
MeJAControlC2a.CDF
FILES
MeJAControlC2b.CDF
FILES
MeJAControlC3a.CDF
FILES
MeJAControlC3b.CDF
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS306
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
CE04.raw
FILES
CE05.raw
FILES
CE06.raw
FILES
CE07.raw
FILES
CE08.raw
FILES
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CE118.raw
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CE119.raw
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CE12.raw
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CE120.raw
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CE121.raw
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CE122.raw
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CE123.raw
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CE124.raw
FILES
CE125.raw
FILES
CE126.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
CE127.raw
FILES
CE128.raw
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CE129.raw
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CE130.raw
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CE131.raw
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CE132.raw
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CE133.raw
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CE14.raw
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CE16.raw
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CE18.raw
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CE19.raw
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CE20.raw
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CE21.raw
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CE23.raw
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CE24.raw
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CE25.raw
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CE27.raw
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CE28.raw
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CE29.raw
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CE37.raw
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CE46.raw
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CE47.raw
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CE48.raw
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CE55.raw
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CE56.raw
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CE62.raw
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CE65.raw
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CE67.raw
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CE94.raw
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CE96.raw
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CE98.raw
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IGNORED:  Samples_Participant
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Number of rows removed due to not enough metadata: 1
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS307
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
Blank3.raw
FILES
Blank4.raw
FILES
Blank5.raw
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Blank6.raw
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Pooled_Urine_10.raw
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Pooled_Urine_11.raw
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Pooled_Urine_13_fullscan.raw
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Pooled_Urine_14_NEG.raw
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Pooled_Urine_15_POS.raw
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Pooled_Urine_16_fullscan.raw
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Pooled_Urine_17_fullscan.raw
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Pooled_Urine_5_posneg_b.raw
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Pooled_Urine_6.raw
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Urine_73_Top10_NEG.mzXML
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FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 34%|███▎      | 560/1662 [1:00:32<1:36:10,  5.24s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 34%|███▍      | 561/1662 [1:00:36<1:32:52,  5.06s/it]
Urine_87_fullscan2_neg.mzXML
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Urine_87_fullscan3_pos.mzXML
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Urine_96_Top10_posneg_pos.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_mzXML conversion mode
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Diabetes
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 3
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS309
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
  Thermo Scientific TSQ 8000: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
FILES
C0_2.D
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C0_3.D
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C0_4.D
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C15_1.D
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C15_2.D
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FILES
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C30_1.D
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C30_3.D
FILES
C30_4.D
FILES
C5_2.D
FILES
C5_3.D
FILES
C5_4.D
FILES
MC0_1.raw
FILES
MC0_2.raw
FILES
MC0_3.raw
FILES
MC0_4.raw
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MC15_1.raw
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MC15_2.raw
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MC15_3.raw
FILES
MC15_4.raw
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MC1_1.raw
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MC1_2.raw
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MC1_3.raw
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MC1_4.raw
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MC2_1.raw
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MC2_2.raw
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MC2_3.raw
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MC2_4.raw
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MC30_1.raw
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MC30_2.raw
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MC30_3.raw
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MC30_4.raw
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MC5_1.raw
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MC5_2.raw
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MC5_3.raw
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MC5_4.raw
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MS0_1.raw
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MS0_2.raw
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MS0_3.raw
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MS0_4.raw
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MS15_1.raw
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MS15_2.raw
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MS15_3.raw
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MS15_4.raw
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MS1_1.raw
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MS1_2.raw
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MS1_3.raw
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MS1_4.raw
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MS2_1.raw
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MS2_2.raw
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MS2_3.raw
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MS2_4.raw
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MS30_1.raw
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MS30_2.raw
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MS30_3.raw
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MS30_4.raw
FILES
MS5_1.raw
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MS5_2.raw
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MS5_3.raw
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MS5_4.raw
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S0_1.D
FILES
S0_2.D
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S0_3.D
FILES
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S15_1.D
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S15_2.D
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S15_3.D
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S5_2.D
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S5_3.D
FILES
S5_4.D
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Bicarbonate treatment
IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Incubation
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Column type
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Number of rows removed due to not enough metadata: 0
Returning 94 rows!
Added 94 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1803
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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56_18_s5_centro_pos.mzml/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Column model
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Harvest year
Number of rows removed due to not enough metadata: 0
Returning 200 rows!
Added 200 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3097
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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metabolomics_mzXML_positive/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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Pos_standards_yeast_background_08_water_02.mzXML
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Pos_standards_yeast_background_28_blank_04.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS31
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 4000: missing value
FILES
012411flubatch1.wiff
FILES
012511flubatch2.wiff
FILES
012611flubatch3.wiff
FILES
012711flubatch4.wiff
FILES
032811flupart2SET1.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 5 rows!
Added 5 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS310
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 320 rows!
Added 320 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS311
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ 8000: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 277 rows!
Added 277 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS312
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3128
Request successful!
SampleCollectionMethod: ADDED!
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TermsofPosition: ADDED!
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DOIDCommonName: ADDED!
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IGNORED:  Assay_Post Extraction/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 34%|███▍      | 568/1662 [1:01:15<1:33:50,  5.15s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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Number of rows removed due to not enough metadata: 0
Returning 141 rows!
Added 141 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3129
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
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IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 34%|███▍      | 569/1662 [1:01:24<1:55:16,  6.33s/it]
 34%|███▍      | 570/1662 [1:01:24<1:24:52,  4.66s/it]
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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Number of rows removed due to not enough metadata: 0
Returning 392 rows!
Added 392 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS313
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS315
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
  Thermo Scientific LTQ Orbitrap: missing value
  Agilent 6550 iFunnel Q-TOF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Unit.15
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IGNORED:  Samples_Unit.8/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 34%|███▍      | 571/1662 [1:01:35<1:57:44,  6.48s/it]
IGNORED:  Samples_Unit.13
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IGNORED:  Samples_Term Source REF.27
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IGNORED:  Samples_malaria rapid diagnostic test
IGNORED:  Samples_Term Source REF.15
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IGNORED:  Samples_Unit.17
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.29
Number of rows removed due to not enough metadata: 0
Returning 244 rows!
Added 244 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS316
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS317
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS318
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Method 1 13405
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Method 1 13405
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FILES
Method 1 13405
QXA03POSEAR20150508_STJU0115VW_BACTERIA_BACTERIAL_37.mzML
FILES
Method 1 13405
QXA03POSEAR20150508_STJU0115VW_BACTERIA_BACTERIAL_38.mzML
FILES
Method 1 13405
QXA03POSEAR20150508_STJU0115VW_BACTERIA_BACTERIAL_39.mzML
FILES
Method 1 13405
QXA03POSEAR20150508_STJU0115VW_BACTERIA_BACTERIAL_40.mzML
FILES
Method 1 13405
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Method 1 14675
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Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_15.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_16.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_17.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_18.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_19.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_21.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_22.mzML
FILES
Method 1 14675
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FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_24.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_25.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL1_26.mzML
FILES
Method 1 14675
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FILES
Method 1 14675
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FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_05.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_06.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_08.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_09.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_10.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_11.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_12.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_13.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_15.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_16.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_17.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_18.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_19.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_21.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_22.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_23.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_24.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_25.mzML
FILES
Method 1 14675
QXA10POSEAR20160316_STJU0116VW_BACTERIA_BACTERIAL2_26.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_03.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_04.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_05.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_06.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_07.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_08.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_09.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_10.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_11.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_12.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_14.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_15.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_16.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_17.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_18.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_19.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_20.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_21.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_22.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_23.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_25.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_26.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_27.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_28.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_29.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_30.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_31.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_32.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_33.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_35.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_36.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_37.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_38.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_39.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_40.mzML
FILES
Method 2 13405
QXA03POSLAT20150508_STJU0115VW_BACTERIA_BACTERIAL_42.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_03.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_04.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_05.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_06.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_08.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_09.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_10.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_11.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_12.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_13.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_15.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_16.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_17.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_18.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_19.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_21.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_22.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_23.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_24.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_25.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL1_26.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_03.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_04.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_05.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_06.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_08.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_09.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_10.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_11.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_12.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_13.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_15.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_16.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_17.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_18.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_19.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_21.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_22.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_23.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_24.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_25.mzML
FILES
Method 2 14675
QXA10POSLAT20160316_STJU0116VW_BACTERIA_BACTERIAL2_26.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_03.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_04.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_05.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_06.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_07.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_08.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_09.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_10.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_11.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_12.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_14.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_15.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_16.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_17.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_18.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_19.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_20.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_21.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_22.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_23.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_25.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_26.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_27.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_28.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_29.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_30.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_31.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_32.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_33.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_35.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_36.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_37.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_38.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_39.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_40.mzML
FILES
Method 3 13405
QXA01NEG20150508_STJU0115VW_BACTERIA_BACTERIAL_42.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_03.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_04.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_05.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_06.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_08.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_09.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_10.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_11.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_12.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_13.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_15.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_16.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_17.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_18.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_19.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_21.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_22.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_23.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_24.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_25.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL1_26.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_03.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_04.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_05.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_06.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_08.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_09.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_10.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_11.mzML
FILES
Method 3 14675
QXA09NEG20160316_STJU0116VW_BACTERIA_BACTERIAL2_12.mzML
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 312 rows!
Added 312 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3183
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3184
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS180
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.21
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IGNORED:  Assay_Term Source REF.12
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 236 rows!
Added 236 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS319
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 171 rows!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 35%|███▍      | 578/1662 [1:02:09<1:47:52,  5.97s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 35%|███▍      | 579/1662 [1:02:16<1:54:36,  6.35s/it]
Added 171 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS320
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
100_1.cdf
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 155 rows!
Added 155 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS321
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 7200 Q-TOF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
CON_BASA_567795_50.mzXML
FILES
CON_BASA_574488.mzXML
FILES
CON_BASA_580552_50.mzXML
FILES
CON_BASA_581904.mzXML
FILES
CON_BASA_587625_50.mzXML
FILES
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DIA_BASE_1164621.mzXML
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DIA_BASE_630974.mzXML
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PIO_BASE_603628.mzXML
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PIO_BASE_604520.mzXML
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PIO_BASE_654139.mzXML
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PIO_BASE_830049.mzXML
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PIO_BASE_976853.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 35%|███▍      | 580/1662 [1:02:20<1:40:38,  5.58s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 35%|███▍      | 581/1662 [1:02:23<1:31:13,  5.06s/it]
 35%|███▌      | 582/1662 [1:02:24<1:08:13,  3.79s/it]
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 25 rows!
Added 25 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS322
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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p1719_o1254_01_a.raw
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p1719_o1254_02.raw
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p1719_o1254_02r.raw
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Nandrolone duration
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
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IGNORED:  Samples_Tendon release
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1804
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1819
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
076_07_1_RA7_01_27405.cdf
FILES
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WT1_RA2_01_27400.cdf
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WT4_RA5_01_27403.cdf
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WT5_RA6_01_27404.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Is Descendant
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 35%|███▌      | 583/1662 [1:02:28<1:09:52,  3.89s/it]
 35%|███▌      | 584/1662 [1:02:29<53:08,  2.96s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 35%|███▌      | 585/1662 [1:02:33<57:59,  3.23s/it]
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS326
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS327
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20121128a__001__06__XW.raw
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20121128a__001__07__XW.raw
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20121128a__001__08__XW.raw
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20121128a__001__10__XW.raw
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20121128a__001__13__XW.raw
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20121129b__002__79__XW.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_diet
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 39 rows!
Added 39 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS328
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
KG_Bac_P_5_anaeroLGG_1.cdf
FILES
KG_Bac_P_5_anaeroLGG_2.cdf
FILES
KG_Bac_P_6_anaeroLGG_1.cdf
FILES
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KG_Bac_P_7_anaeroLGG_1.cdf
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KG_Caco2_P_13_Coculture_1.cdf
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KG_Caco2_P_14_Coculture_1.cdf
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KG_Caco2_P_15_Coculture_1.cdf
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PS_LGG_P_79_1.cdf
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_coculture
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_anaerobic
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Lactobacillus rhamnosus LGG
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 35%|███▌      | 586/1662 [1:02:38<1:08:12,  3.80s/it]
IGNORED:  filename_lower
IGNORED:  Samples_control
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Bacteroides caccae
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Caco2
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 12
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3286
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
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mtab_TSQ_Weber_uptake_2021_0310_99.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Material sample
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 35%|███▌      | 587/1662 [1:02:44<1:16:59,  4.30s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 35%|███▌      | 588/1662 [1:02:49<1:23:11,  4.65s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 35%|███▌      | 590/1662 [1:02:53<1:01:07,  3.42s/it]
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 214 rows!
Added 107 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS330
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
IL_010614_1602.CDF
FILES
IL_010614_2702.CDF
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IL_010614_402.CDF
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IL_070714_1002.CDF
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IL_140914_1502.CDF
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Tissue
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Life cycle stage
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS331
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS332
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
110113B_03.CDF
FILES
110113B_04.CDF
FILES
110113B_05.CDF
FILES
110113B_06.CDF
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110113B_07.CDF
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110113B_08.CDF
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110113B_12.CDF
FILES
110113B_13.CDF
FILES
110113B_14.CDF
FILES
110113B_15.CDF
FILES
110113B_16.CDF
FILES
110113B_17.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_GM41
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_BT03
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS333
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
AG_11_BP_Y_01_0801.CDF
FILES
AG_11_SM_Y_28_1301.CDF
FILES
AG_12_BP_Y_02_2901.CDF
FILES
Ab_11_DR_R_20_1601.CDF
FILES
Ab_11_VG_R_16_2701.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 36%|███▌      | 591/1662 [1:02:57<1:03:04,  3.53s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
An_10_VG_Y_03_0101.CDF
FILES
An_11_VG_Y_04_0401.CDF
FILES
BP_10_BP_R_13_0201.CDF
FILES
FG_11_VG_Y_05_2001.CDF
FILES
GQ_11_VG_Y_06_1801.CDF
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He_11_VG_R_15_1701.CDF
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JM_11_VG_Y_07_0501.CDF
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SR_10_BP_R_21_2401.CDF
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FILES
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FILES
Tu_11_DR_R_19_1401.CDF
FILES
Tu_11_VG_R_27_1901.CDF
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.8
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 26 rows!
Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS334
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Elite: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
10A Lean.raw
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10A Obese.raw
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10C Obese.raw
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9A Lean.raw
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9C Obese.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
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IGNORED:  Samples_Diet
IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS335
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
ANT1_20EV_RA3_01_22646.cdf
FILES
ANT1_30EV_RA3_01_22647.cdf
FILES
ANT1_40EV_RA3_01_22649.cdf
FILES
ANT1_50EV_RA3_01_22650.cdf
FILES
ANT1_MS_RA3_01_22645.cdf
FILES
ANT2_20EV_RA5_01_22513.cdf
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ANT2_30EV_RA5_01_22514.cdf
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ANT2_40EV_RA5_01_22515.cdf
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FILES
ANT2_MS_RA5_01_22512.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
BUD1_20EV_RA3_01_22719.cdf
FILES
BUD1_30EV_RA3_01_22720.cdf
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ROO2_20EV_RA3_01_22563.cdf
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ROO2_40EV_RA3_01_22566.cdf
FILES
ROO2_50EV_RA3_01_22567.cdf
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ROO2_MS_RA3_01_22562.cdf
FILES
SEE1_20EV_RA4_01_22728.cdf
FILES
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FILES
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SEP1_MS_RA4_01_22654.cdf
FILES
SEP2_20EV_RA6_01_22521.cdf
FILES
SEP2_30EV_RA6_01_22522.cdf
FILES
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FILES
STE1_20EV_RA2_01_22710.cdf
FILES
STE1_30EV_RA2_01_22711.cdf
FILES
STE1_40EV_RA2_01_22713.cdf
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
STY1_MS_RA2_01_22636.cdf
FILES
STY2_20EV_RA4_01_22501.cdf
FILES
STY2_30EV_RA4_01_22502.cdf
FILES
STY2_40EV_RA4_01_22508.cdf
FILES
STY2_50EV_RA4_01_22509.cdf
FILES
STY2_MS_RA4_01_22500.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_tissue type
IGNORED:  Samples_collision energy
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Methanol extraction
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 140 rows!
Added 140 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS336
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
FILES
LCMS_blank5.raw
FILES
YeR_LCMS_C01.raw
FILES
YeR_LCMS_C02.raw
FILES
YeR_LCMS_C03.raw
FILES
YeR_LCMS_C04.raw
FILES
YeR_LCMS_C05.raw
FILES
YeR_LCMS_C06.raw
FILES
YeR_LCMS_C07.raw
FILES
YeR_LCMS_C08.raw
FILES
YeR_LCMS_C09.raw
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YeR_LCMS_C10.raw
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YeR_LCMS_QC01.raw
FILES
YeR_LCMS_QC02.raw
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YeR_LCMS_QC03.raw
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YeR_LCMS_QC05.raw
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YeR_LCMS_QC07.raw
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YeR_LCMS_QC08.raw
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YeR_LCMS_T01.raw
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YeR_LCMS_T02.raw
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YeR_LCMS_T03.raw
FILES
YeR_LCMS_T04.raw
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YeR_LCMS_T05.raw
FILES
YeR_LCMS_T06.raw
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YeR_LCMS_T07.raw
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YeR_LCMS_T08.raw
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YeR_LCMS_T09.raw
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YeR_LCMS_T10.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 36%|███▌      | 594/1662 [1:03:12<1:23:45,  4.71s/it]
 36%|███▌      | 595/1662 [1:03:13<1:02:51,  3.54s/it]
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Derived Spectral Data File.1
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Number of rows removed due to not enough metadata: 28
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS337
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS338
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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DepthorAltitudeMeters: ADDED!
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 36%|███▌      | 596/1662 [1:03:20<1:21:02,  4.56s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 36%|███▌      | 597/1662 [1:03:25<1:24:04,  4.74s/it]
 36%|███▌      | 598/1662 [1:03:26<1:03:12,  3.56s/it]
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 210 rows!
Added 210 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS34
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 4000: missing value
FILES
051010fluexp3.wiff
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Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS340
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS341
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
  Bruker micrOTOF-Q I: missing value
IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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pos-Exp2-Blatt_P-1_1-E,1_01_8092.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_genotype
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 150 rows!
Added 150 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS342
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS343
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3449
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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14630 SSID Data MZML
Method 3 14630
QXA05NEG20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_25.mzML
FILES
14630 SSID Data MZML
Method 3 14630
QXA05NEG20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_27.mzML
FILES
14630 SSID Data MZML
Method 3 14630
QXA05NEG20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_28.mzML
FILES
14630 SSID Data MZML
Method 3 14630
QXA05NEG20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_30.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_03.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_04.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_05.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_06.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_07.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_08.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_10.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_11.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_12.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_13.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_14.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_15.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_16.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_17.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_19.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_20.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_21.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_22.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_23.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_24.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_25.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_27.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_28.mzML
FILES
14630 SSID Data MZML
Method 4 14630
QXA06POL20160216_LOUI0115VW_MOUSE_CAECAL_FLUID_30.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_03.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_04.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_05.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_06.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_07.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_08.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_10.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_11.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_12.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_13.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_14.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_15.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_16.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_17.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_19.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_20.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_21.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_22.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_23.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_24.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_25.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_27.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_28.mzML
FILES
14631 SSID Data MZML
Method 1 14631
QXA07POSEAR20160211_LOUI0115VW_MOUSE_SERUM_30.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_03.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_04.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_05.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_06.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_07.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_08.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_10.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_11.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_12.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_13.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_14.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_15.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_16.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_17.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_19.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_20.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_21.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_22.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_23.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_24.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_25.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_27.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_28.mzML
FILES
14631 SSID Data MZML
Method 2 14631
QXA07POSLAT20160211_LOUI0115VW_MOUSE_SERUM_30.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_03.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_04.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_05.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_06.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_07.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_08.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_10.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_11.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_12.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_13.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_14.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_15.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_16.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_17.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_19.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_20.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_21.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_22.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_23.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_24.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_25.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_27.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_28.mzML
FILES
14631 SSID Data MZML
Method 3 14631
QXA05NEG20160211_LOUI0115VW_MOUSE_SERUM_30.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_03.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_04.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_05.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_06.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_07.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_08.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_10.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_11.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_12.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_13.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_14.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_15.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_16.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_17.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_19.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_20.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_21.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_22.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_23.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_24.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_25.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_27.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_28.mzML
FILES
14631 SSID Data MZML
Method 4 14631
QXA13POL20160211_LOUI0115VW_MOUSE_SERUM_30.mzML
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Samples_Vivarium
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 36%|███▌      | 602/1662 [1:03:43<1:14:14,  4.20s/it]
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  filename_lower
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IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
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IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS345
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_sex
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Facility
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Samples_Food
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 36%|███▋      | 603/1662 [1:03:50<1:24:55,  4.81s/it]
 36%|███▋      | 604/1662 [1:03:50<1:03:30,  3.60s/it]
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 9
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS346
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3476
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_03.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_04.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_05.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_06.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_07.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_08.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_09.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_10.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_12.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_13.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_14.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_15.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_16.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_17.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_18.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_19.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_20.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_21.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_23.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_24.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_25.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_26.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_27.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_28.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_29.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_30.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_31.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_33.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_34.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_35.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_36.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_37.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_38.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL1_40.mzML
FILES
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Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_03.mzML
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21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_04.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_05.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_06.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_07.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_08.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_09.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_10.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_12.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_13.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_14.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_15.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_16.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_17.mzML
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21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_18.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_19.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_20.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_21.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_23.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_24.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_25.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_26.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_27.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_28.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_29.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_30.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_31.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_33.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_34.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_35.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_36.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_37.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_38.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL2_40.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_03.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_04.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_05.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_06.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_07.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_08.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_09.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_10.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_12.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_13.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_14.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_15.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_16.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_17.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_18.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_19.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_21.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_22.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_23.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_24.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_25.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_26.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_27.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_29.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_30.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_31.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_32.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_33.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_34.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_35.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_36.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_37.mzML
FILES
21147 SSID Data MZML
Method 1
QXA21POSEAR20191202_UNBC0219MD_HUMAN_FECAL3_38.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_03.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_04.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_05.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_06.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_07.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_08.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_09.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_10.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_12.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_13.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_14.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_15.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_16.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_17.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_18.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_19.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_20.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_21.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_23.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_24.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_25.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_26.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_27.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_28.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_29.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_30.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_31.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_33.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_34.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_35.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_36.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_37.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_38.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL1_40.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_03.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_04.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_05.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_06.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_07.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_08.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_09.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_10.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_12.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_13.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_14.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_15.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_16.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_17.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_18.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_19.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_20.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_21.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_23.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_24.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_25.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_26.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_27.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_28.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_29.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_30.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_31.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_33.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_34.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_35.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_36.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_37.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_38.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL2_40.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_03.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_04.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_05.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_06.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_07.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_08.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_09.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_10.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_12.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_13.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_14.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_15.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_16.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_17.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_18.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_19.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_21.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_22.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_23.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_24.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_25.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_26.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_27.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_29.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_30.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_31.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_32.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_33.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_34.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_35.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_36.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_37.mzML
FILES
21147 SSID Data MZML
Method 2
QXA21POSLAT20191202_UNBC0219MD_HUMAN_FECAL3_38.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_03.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_04.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_05.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_06.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_07.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_08.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_09.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_10.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_12.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_13.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_14.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_15.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_16.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_17.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_18.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_19.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_20.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_21.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_23.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_24.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_25.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_26.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_27.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_28.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_29.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_30.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_31.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_33.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_34.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_35.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_36.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_37.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_38.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL1_40.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_03.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_04.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_05.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_06.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_07.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_08.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_09.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_10.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_12.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_13.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_14.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_15.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_16.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_17.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_18.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_19.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_20.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_21.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_23.mzML
FILES
21147 SSID Data MZML
Method 3
QXA20NEG20191202_UNBC0219MD_HUMAN_FECAL2_24.mzML
FILES
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Method 4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 404 rows!
Added 404 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS349
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS35
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SBEP_STM_LB_1_1.CDF
FILES
SBEP_STM_LB_1_2.CDF
FILES
SBEP_STM_LB_2_1.CDF
FILES
SBEP_STM_LB_2_2.CDF
FILES
SBEP_STM_LB_3_1.CDF
FILES
SBEP_STM_LB_3_2.CDF
FILES
SBEP_STM_LPM20_1_1.CDF
FILES
SBEP_STM_LPM20_1_2.CDF
FILES
SBEP_STM_LPM20_2_1.CDF
FILES
SBEP_STM_LPM20_2_2.CDF
FILES
SBEP_STM_LPM20_3_1.CDF
FILES
SBEP_STM_LPM20_3_2.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
SBEP_STM_LPM4_1_1.CDF
FILES
SBEP_STM_LPM4_1_2.CDF
FILES
SBEP_STM_LPM4_2_1.CDF
FILES
SBEP_STM_LPM4_2_2.CDF
FILES
SBEP_STM_LPM4_3_1.CDF
FILES
SBEP_STM_LPM4_3_2.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
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IGNORED:  Is Fluid
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_growth conditon
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_replication
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_harvested
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS350
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3505
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS352
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS354
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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FILES
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FILES
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FILES
Controlcc019_pos.mzML
FILES
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FILES
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FILES
Controlcc037_neg.mzML
FILES
Controlcc037_pos.mzML
FILES
Controlcc045_neg.mzML
FILES
Controlcc045_pos.mzML
FILES
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FILES
Controlcc046_pos.mzML
FILES
Controlcc048_neg.mzML
FILES
Controlcc048_pos.mzML
FILES
Controlcc049_neg.mzML
FILES
Controlcc049_pos.mzML
FILES
Controlcc050_neg.mzML
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Controlcc050_pos.mzML
FILES
Controlcc051_neg.mzML
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Controlcc051_pos.mzML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_disease state
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 37%|███▋      | 611/1662 [1:04:19<1:18:08,  4.46s/it]
 37%|███▋      | 612/1662 [1:04:20<59:44,  3.41s/it]  
 37%|███▋      | 613/1662 [1:04:21<46:10,  2.64s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 37%|███▋      | 614/1662 [1:04:26<58:17,  3.34s/it]
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 478 rows!
Added 478 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS355
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS356
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3563
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker timsTOF Pro: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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SA10-3-auto-MS-MS-neg_25_1_1490.mzML
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AA1-3-auto-MS-MS-pos_6_1_1375.mzML
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AA10-1-auto-MS-MS-pos_10_1_1380.mzML
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AA10-2-auto-MS-MS-pos_8_1_1377.mzML
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AA10-3-auto-MS-MS-pos_3_1_1372.mzML
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BAP1-1-auto-MS-MS-pos_1_1_1370.mzML
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BAP1-2-auto-MS-MS-pos_26_1_1398.mzML
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BAP1-3-auto-MS-MS-pos_24_1_1395.mzML
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G-Control-1-auto-MS-MS-pos_35_1_1408.mzML
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G-Control-2-auto-MS-MS-pos_4_1_1373.mzML
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DERIVED_FILES
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POS
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DERIVED_FILES
POS
JA10-1-auto-MS-MS-pos_33_1_1406.mzML
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DERIVED_FILES
POS
JA10-2-auto-MS-MS-pos_36_1_1409.mzML
FILES
DERIVED_FILES
POS
JA10-3-auto-MS-MS-pos_14_1_1384.mzML
FILES
DERIVED_FILES
POS
NAA1-1-auto-MS-MS-pos_18_1_1389.mzML
FILES
DERIVED_FILES
POS
NAA1-2-auto-MS-MS-pos_20_1_1391.mzML
FILES
DERIVED_FILES
POS
NAA1-3-auto-MS-MS-pos_2_1_1371.mzML
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DERIVED_FILES
POS
NAA10-1-auto-MS-MS-pos_7_1_1376.mzML
FILES
DERIVED_FILES
POS
NAA10-2-auto-MS-MS-pos_19_1_1390.mzML
FILES
DERIVED_FILES
POS
NAA10-3-auto-MS-MS-pos_15_1_1385.mzML
FILES
DERIVED_FILES
POS
S-Control-1-auto-MS-MS-pos_17_1_1388.mzML
FILES
DERIVED_FILES
POS
S-Control-2-auto-MS-MS-pos_12_1_1382.mzML
FILES
DERIVED_FILES
POS
S-Control-3-auto-MS-MS-pos-inj2_96_1_1659.mzML
FILES
DERIVED_FILES
POS
SA1-1-auto-MS-MS-pos_27_1_1399.mzML
FILES
DERIVED_FILES
POS
SA1-2-auto-MS-MS-pos_31_1_1403.mzML
FILES
DERIVED_FILES
POS
SA1-3-auto-MS-MS-pos_34_1_1407.mzML
FILES
DERIVED_FILES
POS
SA10-1-auto-MS-MS-pos_11_1_1381.mzML
FILES
DERIVED_FILES
POS
SA10-2-auto-MS-MS-pos_29_1_1401.mzML
FILES
DERIVED_FILES
POS
SA10-3-auto-MS-MS-pos_25_1_1397.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Phytohormone treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Phytohormone concentration
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3565
Request successful!
SampleCollectionMethod: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 37%|███▋      | 615/1662 [1:04:29<59:23,  3.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 37%|███▋      | 616/1662 [1:04:34<1:06:15,  3.80s/it]
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker compact: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
PA_Nas_BR_fc_1W_neg.mzML
FILES
PA_Nas_BR_fc_1W_pos.mzML
FILES
PA_Nas_B_fc_3_neg.mzML
FILES
PA_Nas_B_fc_3_pos.mzML
FILES
PA_Nas_G_fc_3_neg.mzML
FILES
PA_Nas_G_fc_3_pos.mzML
FILES
PA_Nas_S_fc_2_neg.mzML
FILES
PA_Nas_S_fc_2_pos.mzML
FILES
PA_Nas_S_wh_1W_neg.mzML
FILES
PA_Pis_BR_fc_2_neg.mzML
FILES
PA_Pis_BR_fc_2_pos.mzML
FILES
PA_Pis_BR_fc_3_neg.mzML
FILES
PA_Pis_B_wh_1_neg.mzML
FILES
PA_Pis_S_fc_3_neg.mzML
FILES
PL_Nas_Benzyl Bt1 1_300_neg.mzML
FILES
PL_Nas_G_wh_2_neg.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Samples_Developmental stage
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Plant species
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS358
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
ChromatographyAndPhase:
  : missing value
FILES
51808_R001_2_TAG_SE_ReRun_20131211.wiff
FILES
51808_R001_R002_SGN_20131204.wiff
FILES
51808_R001_R002_SGP_20131204.wiff
FILES
51808_R001_SGN_SE_20131125.wiff
FILES
51808_R001_SGP_SE_20131125.wiff
FILES
51808_R001_TAG_SE_20131204.wiff
FILES
51808_R001_TAG_SE_20131209.wiff
FILES
51808_R002_SGN_SE_20131129.wiff
FILES
51808_R002_SGP_SE_20131129.wiff
FILES
51808_R003_CER_SE_20131122.wiff
FILES
51808_R004_CER_SE_20131126.wiff
FILES
51808_R005_EC_SE_20131122.wiff
FILES
51808_R006_EC_SE_20131126.wiff
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_BMI
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Study Group
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Ethinicity
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Pack year
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 13 rows!
Added 13 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS359
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
0min_no_bacteria_rep1.mzML
FILES
0min_no_bacteria_rep2.mzML
FILES
0min_no_bacteria_rep3.mzML
FILES
0min_no_tea_rep1.mzML
FILES
0min_no_tea_rep2.mzML
FILES
0min_no_tea_rep3.mzML
FILES
0min_tea_rep1.mzML
FILES
0min_tea_rep2.mzML
FILES
0min_tea_rep3.mzML
FILES
240min_no_bacteria_rep1.mzML
FILES
240min_no_bacteria_rep2.mzML
FILES
240min_no_bacteria_rep3.mzML
FILES
240min_no_tea_rep1.mzML
FILES
240min_no_tea_rep2.mzML
FILES
240min_no_tea_rep3.mzML
FILES
240min_tea_rep1.mzML
FILES
240min_tea_rep2.mzML
FILES
240min_tea_rep3.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 37%|███▋      | 617/1662 [1:04:38<1:05:31,  3.76s/it]
FILES
40min_no_bacteria_rep1.mzML
FILES
40min_no_bacteria_rep2.mzML
FILES
40min_no_bacteria_rep3.mzML
FILES
40min_no_tea_rep1.mzML
FILES
40min_no_tea_rep2.mzML
FILES
40min_no_tea_rep3.mzML
FILES
40min_tea_rep1.mzML
FILES
40min_tea_rep2.mzML
FILES
40min_tea_rep3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Column type
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_treatment
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_time
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Vaiant
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS36
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20100917_01_TomQC.mzML
FILES
20100917_02_TomQC.mzML
FILES
20100917_03_Mixed.mzML
FILES
20100917_04_AC+_53.mzML
FILES
20100917_05_RIN_53.mzML
FILES
20100917_06_CNR_53.mzML
FILES
20100917_07_NOR_53.mzML
FILES
20100917_08_TomQC.mzML
FILES
20100917_09_Blank.mzML
FILES
20100917_10_CNR_47.mzML
FILES
20100917_11_RIN_47.mzML
FILES
20100917_12_NOR_47.mzML
FILES
20100917_13_AC+_47.mzML
FILES
20100917_14_TomQC.mzML
FILES
20100917_15_NOR_30.mzML
FILES
20100917_16_RIN_30.mzML
FILES
20100917_17_CNR_30.mzML
FILES
20100917_18_AC+_30.mzML
FILES
20100917_19_TomQC.mzML
FILES
20100917_20_AC+_52.mzML
FILES
20100917_21_CNR_52.mzML
FILES
20100917_22_NOR_52.mzML
FILES
20100917_23_RIN_52.mzML
FILES
20100917_24_TomQC.mzML
FILES
20100917_25_Mixed.mzML
FILES
20100917_26_CNR_54.mzML
FILES
20100917_27_NOR_54.mzML
FILES
20100917_28_RIN_54.mzML
FILES
20100917_29_AC+_54.mzML
FILES
20100917_30_TomQC.mzML
FILES
20100917_31_RIN_50.mzML
FILES
20100917_32_AC+_50.mzML
FILES
20100917_33_CNR_50.mzML
FILES
20100917_34_NOR_50.mzML
FILES
20100917_35_Mixed.mzML
FILES
20100917_36_Blank.mzML
FILES
20100917_37_NOR_48.mzML
FILES
20100917_38_RIN_48.mzML
FILES
20100917_39_CNR_48.mzML
FILES
20100917_40_AC+_48.mzML
FILES
20100917_41_TomQC.mzML
FILES
20100917_42_NOR_51.mzML
FILES
20100917_43_AC+_51.mzML
FILES
20100917_44_RIN_51.mzML
FILES
20100917_45_CNR_51.mzML
FILES
20100917_46_TomQC.mzML
FILES
20100917_47_AC+_20.mzML
FILES
20100917_48_RIN_20.mzML
FILES
20100917_49_CNR_20.mzML
FILES
20100917_50_NOR_20.mzML
FILES
20100917_51_TomQC.mzML
FILES
20100917_52_AC+_25.mzML
FILES
20100917_53_NOR_25.mzML
FILES
20100917_54_CNR_25.mzML
FILES
20100917_55_RIN_25.mzML
FILES
20100917_56_TomQC.mzML
FILES
20100917_57_NOR_49.mzML
FILES
20100917_58_CNR_49.mzML
FILES
20100917_59_AC+_49.mzML
FILES
20100917_60_RIN_49.mzML
FILES
20100917_61_TomQC.mzML
FILES
20100917_62_CNR_40.mzML
FILES
20100917_63_AC+_40.mzML
FILES
20100917_64_RIN_40.mzML
FILES
20100917_65_NOR_40.mzML
FILES
20100917_66_TomQC.mzML
FILES
20100917_67_Blank.mzML
FILES
20100917_68_CNR_15.mzML
FILES
20100917_69_NOR_15.mzML
FILES
20100917_70_AC+_15.mzML
FILES
20100917_71_RIN_15.mzML
FILES
20100917_72_Mixed.mzML
FILES
20100917_73_TomQC.mzML
FILES
20100920_01_TomQC.mzML
FILES
20100920_02_TomQC.mzML
FILES
20100920_03_Mixed.mzML
FILES
20100920_04_NOR_25.mzML
FILES
20100920_05_AC+_25.mzML
FILES
20100920_06_CNR_25.mzML
FILES
20100920_07_RIN_25.mzML
FILES
20100920_08_TomQC.mzML
FILES
20100920_09_Blank.mzML
FILES
20100920_10_NOR_30.mzML
FILES
20100920_11_AC+_30.mzML
FILES
20100920_12_RIN_30.mzML
FILES
20100920_13_CNR_30.mzML
FILES
20100920_14_TomQC.mzML
FILES
20100920_15_RIN_47.mzML
FILES
20100920_16_NOR_47.mzML
FILES
20100920_17_AC+_47.mzML
FILES
20100920_18_CNR_47.mzML
FILES
20100920_19_TomQC.mzML
FILES
20100920_20_NOR_51.mzML
FILES
20100920_21_RIN_51.mzML
FILES
20100920_22_CNR_51.mzML
FILES
20100920_23_AC+_51.mzML
FILES
20100920_24_TomQC.mzML
FILES
20100920_25_Mixed.mzML
FILES
20100920_26_NOR_53.mzML
FILES
20100920_27_AC+_53.mzML
FILES
20100920_28_RIN_53.mzML
FILES
20100920_29_CNR_53.mzML
FILES
20100920_30_TomQC.mzML
FILES
20100920_31_AC+_20.mzML
FILES
20100920_32_RIN_20.mzML
FILES
20100920_33_CNR_20.mzML
FILES
20100920_34_NOR_20.mzML
FILES
20100920_35_TomQC.mzML
FILES
20100920_36_Blank_.mzML
FILES
20100920_37_RIN_40.mzML
FILES
20100920_38_NOR_40.mzML
FILES
20100920_39_AC+_40.mzML
FILES
20100920_40_CNR_40.mzML
FILES
20100920_41_TomQC.mzML
FILES
20100920_42_NOR_15.mzML
FILES
20100920_43_AC+_15.mzML
FILES
20100920_44_CNR_15.mzML
FILES
20100920_45_RIN_15.mzML
FILES
20100920_46_TomQC.mzML
FILES
20100920_47_AC+_54.mzML
FILES
20100920_48_NOR_54.mzML
FILES
20100920_49_CNR_54.mzML
FILES
20100920_50_RIN_54.mzML
FILES
20100920_51_TomQC.mzML
FILES
20100920_52_CNR_48.mzML
FILES
20100920_53_RIN_48.mzML
FILES
20100920_54_AC+_48.mzML
FILES
20100920_55_NOR_48.mzML
FILES
20100920_56_TomQC.mzML
FILES
20100920_57_CNR_52.mzML
FILES
20100920_58_NOR_52.mzML
FILES
20100920_59_RIN_52.mzML
FILES
20100920_60_AC+_52.mzML
FILES
20100920_61_TomQC.mzML
FILES
20100920_62_RIN_49.mzML
FILES
20100920_63_AC+_49.mzML
FILES
20100920_64_NOR_49.mzML
FILES
20100920_65_CNR_49.mzML
FILES
20100920_66_TomQC.mzML
FILES
20100920_67_Blank.mzML
FILES
20100920_68_AC+_50.mzML
FILES
20100920_69_CNR_50.mzML
FILES
20100920_70_NOR_50.mzML
FILES
20100920_71_RIN_50.mzML
FILES
20100920_72_Mixed.mzML
FILES
20100920_73_TomQC.mzML
FILES
20100921_02_TomQC.mzML
FILES
20100921_03_TomQC.mzML
FILES
20100921_04_Mixed.mzML
FILES
20100921_05_AC+_51.mzML
FILES
20100921_06_RIN_51.mzML
FILES
20100921_07_NOR_51.mzML
FILES
20100921_08_CNR_51.mzML
FILES
20100921_09_TomQC.mzML
FILES
20100921_10_Blank.mzML
FILES
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neg_20100927_45_CNR_51.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 442 rows!
Added 442 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS360
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Compound
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 17 rows!
Added 17 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS361
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS362
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS363
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
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FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS364
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS366
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
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DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
ChromatographyAndPhase:
  : missing value
FILES
DOEI_sample10P_PPL_neg_400k_1to4dil.raw
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DOEI_sample9P_PPL_pos_400k_1to20dil_50pMeFA.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Ion source/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Column model
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS367
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS368
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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DOIDCommonName: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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UBERONBodyPartName:
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ENVOEnvironmentMaterial:
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TQ12151417.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_B3 Vitamin
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
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IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Samples_Sample Name
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
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IGNORED:  base
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IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 734
Returning 1743 rows!
Added 1743 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3683
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 38%|███▊      | 627/1662 [1:05:57<3:29:36, 12.15s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Derived Spectral Data File.1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 46 rows!
Added 46 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS370
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Thermo Scientific ITQ 900: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
CAC1.mzML
FILES
CAC2.mzML
FILES
CAC3.mzML
FILES
CAC4.mzML
FILES
CAC5.mzML
FILES
CAC6.mzML
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CAM1.mzML
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CAM2.mzML
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CAM3.mzML
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CAM4.mzML
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CAM5.mzML
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CAM6.mzML
FILES
FBS150_New_FS_4.mzML
FILES
FBS150_new_1_FS120000_4.mzML
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FBS_QC1_01.mzML
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FBS_QC1_02.mzML
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FBS_QC1_03.mzML
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FBS_QC1_04.mzML
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FBS_QC1_05.mzML
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FBS_QC1_06.mzML
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MO2.mzML
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MO3.mzML
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MO4.mzML
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MO6.mzML
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PPP_Mix.mzML
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QC2.mzML
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QC3.mzML
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QC4.mzML
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QC6.mzML
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SAC6.mzML
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SAM1.mzML
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SAM2.mzML
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SCC1.mzML
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SCC2.mzML
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SCC3.mzML
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SCC6.mzML
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SCM1.mzML
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SCM2.mzML
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SCM3.mzML
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SCM4.mzML
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 22
Returning 37 rows!
Added 37 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3714
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
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  Waters SYNAPT G2-Si HDMS: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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NEG
20201021_KAI_SCM1_NR_HDMS_neg_A1_011.mzML
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20201021_KAI_SCM1_NR_HDMS_neg_A2_012.mzML
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20201021_KAI_SCM1_NR_HDMS_neg_B1_017.mzML
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20201021_KAI_SCM1_NR_HDMS_neg_B2_018.mzML
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DERIVED_FILES
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20201021_KAI_SCM1_NR_HDMS_neg_B3_019.mzML
FILES
DERIVED_FILES
NEG
20201021_KAI_SCM1_NR_HDMS_neg_B4_020.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 38%|███▊      | 629/1662 [1:06:11<2:41:12,  9.36s/it]
 38%|███▊      | 630/1662 [1:06:12<1:57:09,  6.81s/it]
FILES
DERIVED_FILES
NEG
20201021_KAI_SCM1_NR_HDMS_neg_B5_021.mzML
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DERIVED_FILES
NEG
20201021_KAI_SCM1_NR_HDMS_neg_QC_010.mzML
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NEG
20201021_KAI_SCM1_NR_HDMS_neg_QC_022.mzML
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POS
20201020_KAI_SCM1_NR_HDMS_pos_A1_005.mzML
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20201020_KAI_SCM1_NR_HDMS_pos_A2_007.mzML
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20201020_KAI_SCM1_NR_HDMS_pos_A3_009.mzML
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20201020_KAI_SCM1_NR_HDMS_pos_B2_017.mzML
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20201020_KAI_SCM1_NR_HDMS_pos_B3_019.mzML
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POS
20201020_KAI_SCM1_NR_HDMS_pos_B4_021.mzML
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DERIVED_FILES
POS
20201020_KAI_SCM1_NR_HDMS_pos_B5_016.mzML
FILES
DERIVED_FILES
POS
20201020_KAI_SCM1_NR_HDMS_pos_QC_004.mzML
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DERIVED_FILES
POS
20201020_KAI_SCM1_NR_HDMS_pos_QC_013.mzML
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POS
20201020_KAI_SCM1_NR_HDMS_pos_QC_023.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 26 rows!
Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS372
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS373
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6520 Q-TOF: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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120220_O10_lysate_neg_1.mzXML
FILES
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120220_O10_lysate_neg_10.mzXML
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120220_O10_lysate_neg_100.mzXML
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120220_O10_lysate_neg_107.mzXML
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120220_O10_lysate_neg_11.mzXML
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120310_R2_pure_neg_99.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 38%|███▊      | 631/1662 [1:10:12<21:56:57, 76.64s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 38%|███▊      | 632/1662 [1:10:16<15:44:05, 55.00s/it]
 38%|███▊      | 633/1662 [1:10:17<11:05:26, 38.80s/it]
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Column type
IGNORED:  Samples_extract
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_gene
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 14670 rows!
Added 14670 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS203
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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15-4 idMsMs 25min 20eV_GE3_01_4245.cdf
FILES
15-4 idMsMs 25min 30eV_GE3_01_4246.cdf
FILES
15-4 idMsMs 25min 40eV_GE3_01_4247.cdf
FILES
15-4 idMsMs 25min 50eV_GE3_01_4248.cdf
FILES
158-4 Ms 25min _GE6_01_4171.cdf
FILES
158-4 MsMs 25min 20eV_GE6_01_4136.cdf
FILES
158-4 MsMs 25min 30eV_GE6_01_4137.cdf
FILES
158-4 MsMs 25min 40eV_GE6_01_4138.cdf
FILES
158-4 MsMs 25min 50eV_GE6_01_4139.cdf
FILES
175-4 Ms 25min _GE2_01_4244.cdf
FILES
175-4 idMsMs 25min 20eV_GE2_01_4240.cdf
FILES
175-4 idMsMs 25min 30eV_GE2_01_4243.cdf
FILES
175-4 idMsMs 25min 40eV_GE2_01_4241.cdf
FILES
175-4 idMsMs 25min 50eV_GE2_01_4242.cdf
FILES
36-4 Ms 25min _GE4_01_4169.cdf
FILES
36-4 MsMs 25min 20eV_GE4_01_4128.cdf
FILES
36-4 MsMs 25min 30eV_GE4_01_4129.cdf
FILES
36-4 MsMs 25min 40eV_GE4_01_4130.cdf
FILES
36-4 MsMs 25min 50eV_GE4_01_4131.cdf
FILES
37-4 Ms 25min _GE6_01_4264.cdf
FILES
37-4 idMsMs 25min 20eV_GE6_01_4260.cdf
FILES
37-4 idMsMs 25min 30eV_GE6_01_4261.cdf
FILES
37-4 idMsMs 25min 40eV_GE6_01_4262.cdf
FILES
37-4 idMsMs 25min 50eV_GE6_01_4263.cdf
FILES
60-4 Ms 25min _GE5_01_4259.cdf
FILES
60-4 idMsMs 25min 20eV_GE5_01_4255.cdf
FILES
60-4 idMsMs 25min 30eV_GE5_01_4256.cdf
FILES
60-4 idMsMs 25min 40eV_GE5_01_4257.cdf
FILES
60-4 idMsMs 25min 50eV_GE5_01_4258.cdf
FILES
62-4 Ms 25min _GE2_01_4167.cdf
FILES
62-4 MsMs 25min 20eV_GE2_01_4120.cdf
FILES
62-4 MsMs 25min 30eV_GE2_01_4122.cdf
FILES
62-4 MsMs 25min 40eV_GE2_01_4123.cdf
FILES
62-4 MsMs 25min 50eV_GE2_01_4121.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS374
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS375
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Mut1h_1.mzXML
FILES
Mut1h_10.mzXML
FILES
Mut1h_2.mzXML
FILES
Mut1h_3.mzXML
FILES
Mut1h_4.mzXML
FILES
Mut1h_5.mzXML
FILES
Mut1h_6.mzXML
FILES
Mut1h_7.mzXML
FILES
Mut1h_8.mzXML
FILES
Mut1h_9.mzXML
FILES
Mut4h_1.mzXML
FILES
Mut4h_10.mzXML
FILES
Mut4h_2.mzXML
FILES
Mut4h_3.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
Mut4h_4.mzXML
FILES
Mut4h_5.mzXML
FILES
Mut4h_6.mzXML
FILES
Mut4h_7.mzXML
FILES
Mut4h_8.mzXML
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Mut4h_9.mzXML
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Mut8h_1.mzXML
FILES
Mut8h_10.mzXML
FILES
Mut8h_2.mzXML
FILES
Mut8h_3.mzXML
FILES
Mut8h_4.mzXML
FILES
Mut8h_5.mzXML
FILES
Mut8h_6.mzXML
FILES
Mut8h_7.mzXML
FILES
Mut8h_8.mzXML
FILES
Mut8h_9.mzXML
FILES
Mut_1.mzXML
FILES
Mut_10.mzXML
FILES
Mut_2.mzXML
FILES
Mut_3.mzXML
FILES
Mut_4.mzXML
FILES
Mut_5.mzXML
FILES
Mut_6.mzXML
FILES
Mut_7.mzXML
FILES
Mut_8.mzXML
FILES
Mut_9.mzXML
FILES
WT_1.mzXML
FILES
WT_10.mzXML
FILES
WT_2.mzXML
FILES
WT_3.mzXML
FILES
WT_4.mzXML
FILES
WT_5.mzXML
FILES
WT_6.mzXML
FILES
WT_7.mzXML
FILES
WT_8.mzXML
FILES
WT_9.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
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IGNORED:  Samples_Time after treatment
IGNORED:  row_id
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Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS376
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6230 Accurate-Mass TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
Clea10_a.mzML
FILES
Clea10_c.mzML
FILES
Clea11_a.mzML
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Clea11_c.mzML
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Clea12_a.mzML
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Clea12_c.mzML
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Clea9_a.mzML
FILES
Clea9_c.mzML
FILES
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CleaA1_c.mzML
FILES
CleaA2_a.mzML
FILES
CleaA2_c.mzML
FILES
CleaA3_a.mzML
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CleaA3_c.mzML
FILES
CleaA4_a.mzML
FILES
CleaA4_c.mzML
FILES
CleaA5_a.mzML
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CleaA5_c.mzML
FILES
CleaA6_a.mzML
FILES
CleaA6_c.mzML
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CleaA9_c.mzML
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Cr11_a.mzML
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Cr9_c.mzML
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CrA10_a.mzML
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CrA12_c.mzML
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CrA1_a.mzML
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CrA1_c.mzML
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CrA3_c.mzML
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CrA4_c.mzML
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CrA5_a.mzML
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CrA5_c.mzML
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CrA6_a.mzML
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CrA6_c.mzML
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CrA7_a.mzML
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CrA7_c.mzML
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CrA8_a.mzML
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CrA8_c.mzML
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CrA9_a.mzML
FILES
CrA9_c.mzML
FILES
Slc10_a.mzML
FILES
Slc10_c.mzML
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Slc11_a.mzML
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Slc11_c.mzML
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Slc12_a.mzML
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Slc13_c.mzML
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Slc14_c.mzML
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Slc1_c.mzML
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Slc2_a.mzML
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Slc2_c.mzML
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Slc3_c.mzML
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Slc4_c.mzML
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Slc8_c.mzML
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SlcA10_a.mzML
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SlcA10_c.mzML
FILES
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SlcA11_c.mzML
FILES
SlcA12_a.mzML
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SlcA12_c.mzML
FILES
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SlcA13_c.mzML
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SlcA1_a.mzML
FILES
SlcA1_c.mzML
FILES
SlcA2_a.mzML
FILES
SlcA2_c.mzML
FILES
SlcA3_a.mzML
FILES
SlcA3_c.mzML
FILES
SlcA4_a.mzML
FILES
SlcA4_c.mzML
FILES
SlcA5_a.mzML
FILES
SlcA5_c.mzML
FILES
SlcA6_a.mzML
FILES
SlcA6_c.mzML
FILES
SlcA7_a.mzML
FILES
SlcA7_c.mzML
FILES
SlcA8_a.mzML
FILES
SlcA8_c.mzML
FILES
SlcA9_a.mzML
FILES
SlcA9_c.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 39%|███▊      | 640/1662 [1:10:35<1:34:00,  5.52s/it]
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 156 rows!
Added 156 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3769
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2042
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS378
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS379
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS38
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
FILES
(-)-epigallocatechin.mzML
FILES
(-)-epigallocatechin_neg.mzML
FILES
(4-chloro-2-methylphenoxy)acetic_acid_neg.mzML
FILES
(R)-2-hydroxystearic_acid_neg.mzML
FILES
1-8-diaminooctane.mzML
FILES
1-methyl-2-hydroadenosine.mzML
FILES
1-methyltryptophan.mzML
FILES
1H-indole-1-acetic_acid.mzML
FILES
1H-indole.mzML
FILES
2-aminoadipic_acid.mzML
FILES
3'-AMP.mzML
FILES
3'-AMP_neg.mzML
FILES
3-aminobenzoic_acid.mzML
FILES
3-coumaric_acid_neg.mzML
FILES
3-hydroxybenzoic_acid_neg.mzML
FILES
3-methyl-2-oxovaleric_acid_neg.mzML
FILES
4-guanidinobutanoic_acid.mzML
FILES
4-guanidinobutanoic_acid_neg.mzML
FILES
4-hydroxybenzaldehyde_neg.mzML
FILES
4-hydroxybenzoic_acid.mzML
FILES
4-hydroxybenzoic_acid_neg.mzML
FILES
4-methyl-2-oxopentanoic_acid_neg.mzML
FILES
5'-S-methyl-5'-thioadenosine.mzML
FILES
6-methoxyquinoline.mzML
FILES
7-methylguanosine.mzML
FILES
9-ribosyl-trans-zeatin.mzML
FILES
D-altrose_neg.mzML
FILES
D-arabinitol.mzML
FILES
D-arabinitol_neg.mzML
FILES
D-fructose_1-phosphate_neg.mzML
FILES
L-alanyl-L-alanine.mzML
FILES
L-alanyl-L-alanine_neg.mzML
FILES
L-lysine.mzML
FILES
L-thialysine.mzML
FILES
N-methylnicotinate.mzML
FILES
adipic_acid_neg.mzML
FILES
allantoin.mzML
FILES
apigenin.mzML
FILES
biotin.mzML
FILES
biotin_neg.mzML
FILES
citramalic_acid_neg.mzML
FILES
citrulline.mzML
FILES
cystathionine.mzML
FILES
cystathionine_neg.mzML
FILES
cytidine.mzML
FILES
cytidine_neg.mzML
FILES
cytosine.mzML
FILES
dehydrocostus_lactone.mzML
FILES
ectoine.mzML
FILES
ectoine_neg.mzML
FILES
emodin_neg.mzML
FILES
esculetin.mzML
FILES
esculetin_neg.mzML
FILES
esculin_hydrate.mzML
FILES
gentiobiose_neg.mzML
FILES
glycine_betaine.mzML
FILES
guanine.mzML
FILES
guanine_neg.mzML
FILES
kaempferol.mzML
FILES
methyl_(-)-jasmonate.mzML
FILES
naringenin.mzML
FILES
nicotinamide.mzML
FILES
proline.mzML
FILES
quercetin.mzML
FILES
quinolin-8-ol.mzML
FILES
trans-zeatin.mzML
FILES
uridine.mzML
FILES
uridine_neg.mzML
FILES
vanillic_acid_neg.mzML
FILES
vanillin_neg.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  keep
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 70
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS380
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2 QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CC_WB_BAT_03.raw
FILES
CC_WB_BAT_04.raw
FILES
CC_WB_BAT_05.raw
FILES
CC_WB_BAT_06.raw
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CC_WB_BAT_07.raw
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CC_WB_BAT_08.raw
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CC_WB_BAT_09.raw
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CC_WB_BAT_10.raw
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CC_WB_BAT_11.raw
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CC_WB_BAT_14.raw
FILES
CC_WB_BAT_15.raw
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CC_WB_BAT_16.raw
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CC_WB_BAT_17.raw
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CC_WB_BAT_18.raw
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CC_WB_BAT_19.raw
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CC_WB_BAT_20.raw
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CC_WB_BAT_21.raw
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CC_WB_BAT_24.raw
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CC_WB_BAT_25.raw
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CC_WB_BAT_26.raw
FILES
CC_WB_BAT_27.raw
FILES
CC_WB_BAT_28.raw
FILES
CC_WB_BAT_29.raw
FILES
CC_WB_BAT_30.raw
FILES
CC_WB_BAT_31.raw
FILES
CC_WB_BAT_32.raw
FILES
CC_WB_BAT_33.raw
FILES
CC_WB_BAT_36.raw
FILES
CC_WB_BAT_37.raw
FILES
CC_WB_BAT_38.raw
FILES
CC_WB_BAT_39.raw
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CC_WB_BAT_40.raw
FILES
CC_WB_BAT_41.raw
FILES
CC_WB_BAT_42.raw
FILES
CC_WB_BAT_43.raw
FILES
CC_WB_BAT_44.raw
FILES
CC_WB_BAT_45.raw
FILES
CC_WB_BAT_48.raw
FILES
CC_WB_BAT_49.raw
FILES
CC_WB_BAT_50.raw
FILES
CC_WB_BAT_51.raw
FILES
CC_WB_BAT_52.raw
FILES
CC_WB_BAT_53.raw
FILES
CC_WB_BAT_54.raw
FILES
CC_WB_BAT_55.raw
FILES
CC_WB_BAT_56.raw
FILES
CC_WB_BAT_59.raw
FILES
CC_WB_BAT_60.raw
FILES
WB_ASWAT_06_03_12_POS_05.mzML
FILES
WB_ASWAT_06_03_12_POS_06.mzML
FILES
WB_ASWAT_06_03_12_POS_07.mzML
FILES
WB_ASWAT_06_03_12_POS_08.mzML
FILES
WB_ASWAT_06_03_12_POS_09.mzML
FILES
WB_ASWAT_06_03_12_POS_10.mzML
FILES
WB_ASWAT_06_03_12_POS_11.mzML
FILES
WB_ASWAT_06_03_12_POS_12.mzML
FILES
WB_ASWAT_06_03_12_POS_13.mzML
FILES
WB_ASWAT_06_03_12_POS_17.mzML
FILES
WB_ASWAT_06_03_12_POS_18.mzML
FILES
WB_ASWAT_06_03_12_POS_19.mzML
FILES
WB_ASWAT_06_03_12_POS_20.mzML
FILES
WB_ASWAT_06_03_12_POS_21.mzML
FILES
WB_ASWAT_06_03_12_POS_22.mzML
FILES
WB_ASWAT_06_03_12_POS_23.mzML
FILES
WB_ASWAT_06_03_12_POS_24.mzML
FILES
WB_ASWAT_06_03_12_POS_25.mzML
FILES
WB_ASWAT_06_03_12_POS_26.mzML
FILES
WB_ASWAT_06_03_12_POS_27.mzML
FILES
WB_ASWAT_06_03_12_POS_31.mzML
FILES
WB_ASWAT_06_03_12_POS_32.mzML
FILES
WB_ASWAT_06_03_12_POS_33.mzML
FILES
WB_ASWAT_06_03_12_POS_34.mzML
FILES
WB_ASWAT_06_03_12_POS_35.mzML
FILES
WB_ASWAT_06_03_12_POS_36.mzML
FILES
WB_ASWAT_06_03_12_POS_37.mzML
FILES
WB_ASWAT_06_03_12_POS_38.mzML
FILES
WB_ASWAT_06_03_12_POS_39.mzML
FILES
WB_ASWAT_06_03_12_POS_40.mzML
FILES
WB_ASWAT_06_03_12_POS_44.mzML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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WB_ASWAT_06_03_12_POS_45.mzML
FILES
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FILES
WB_ASWAT_06_03_12_POS_47.mzML
FILES
WB_ASWAT_06_03_12_POS_48.mzML
FILES
WB_ASWAT_06_03_12_POS_49.mzML
FILES
WB_ASWAT_06_03_12_POS_50.mzML
FILES
WB_ASWAT_06_03_12_POS_51.mzML
FILES
WB_ASWAT_06_03_12_POS_52.mzML
FILES
WB_ASWAT_06_03_12_POS_53.mzML
FILES
WB_ASWAT_06_03_12_POS_57.mzML
FILES
WB_ASWAT_06_03_12_POS_58.mzML
FILES
WB_ASWAT_06_03_12_POS_59.mzML
FILES
WB_ASWAT_06_03_12_POS_60.mzML
FILES
WB_ASWAT_06_03_12_POS_61.mzML
FILES
WB_ASWAT_06_03_12_POS_62.mzML
FILES
WB_ASWAT_06_03_12_POS_63.mzML
FILES
WB_ASWAT_06_03_12_POS_64.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Scan polarity
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS381
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS383
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS384
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20160502_011.raw
FILES
20160502_012.raw
FILES
20160502_013.raw
FILES
20160502_014.raw
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20160502_015.raw
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20160502_016.raw
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20160502_025.raw
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20160502_031.raw
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20160502_041.raw
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20160502_043.raw
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20160502_044.raw
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20160502_046.raw
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20160502_048.raw
FILES
20160502_049.raw
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20160502_050.raw
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20160502_051.raw
FILES
20160502_052.raw
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20160502_054.raw
FILES
20160504_009.raw
FILES
20160504_010.raw
FILES
20160504_011.raw
FILES
20160504_012.raw
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FILES
20160504_017.raw
FILES
20160504_018.raw
FILES
20160504_019.raw
FILES
20160504_020.raw
FILES
20160504_021.raw
FILES
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FILES
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FILES
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FILES
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20160504_032.raw
FILES
20160504_033.raw
FILES
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FILES
20160504_035.raw
FILES
20160504_036.raw
FILES
20160504_037.raw
FILES
20160504_038.raw
FILES
20160504_039.raw
FILES
20160504_040.raw
FILES
20160504_041.raw
FILES
20160504_042.raw
FILES
20160504_043.raw
FILES
20160504_044.raw
FILES
20160504_045.raw
FILES
20160504_047.raw
FILES
20160504_048.raw
FILES
20160509_009.raw
FILES
20160509_010.raw
FILES
20160509_011.raw
FILES
20160509_012.raw
FILES
20160509_013.raw
FILES
20160509_014.raw
FILES
20160509_015.raw
FILES
20160509_016.raw
FILES
20160509_017.raw
FILES
20160509_018.raw
FILES
20160509_020.raw
FILES
20160509_021.raw
FILES
20160509_022.raw
FILES
20160509_023.raw
FILES
20160509_024.raw
FILES
20160509_025.raw
FILES
20160509_027.raw
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20160509_028.raw
FILES
20160509_029.raw
FILES
20160509_030.raw
FILES
20160509_031.raw
FILES
20160509_033.raw
FILES
20160509_034.raw
FILES
20160509_035.raw
FILES
20160509_036.raw
FILES
20160509_037.raw
FILES
20160509_038.raw
FILES
20160509_039.raw
FILES
20160509_040.raw
FILES
20160509_041.raw
FILES
20160509_042.raw
FILES
20160509_043.raw
FILES
20160509_044.raw
FILES
20160509_045.raw
FILES
20160509_046.raw
FILES
20160509_047.raw
FILES
20160509_048.raw
FILES
20160510_009.raw
FILES
20160510_010.raw
FILES
20160510_011.raw
FILES
20160510_013.raw
FILES
20160510_014.raw
FILES
20160510_016.raw
FILES
20160510_017.raw
FILES
20160510_018.raw
FILES
20160510_019.raw
FILES
20160510_020.raw
FILES
20160510_021.raw
FILES
20160510_022.raw
FILES
20160510_023.raw
FILES
20160510_024.raw
FILES
20160510_025.raw
FILES
20160510_026.raw
FILES
20160510_027.raw
FILES
20160510_028.raw
FILES
20160510_029.raw
FILES
20160510_030.raw
FILES
20160510_032.raw
FILES
20160510_033.raw
FILES
20160510_034.raw
FILES
20160510_035.raw
FILES
20160510_036.raw
FILES
20160510_037.raw
FILES
20160510_038.raw
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20160510_039.raw
FILES
20160510_040.raw
FILES
20160510_041.raw
FILES
20160510_042.raw
FILES
20160510_043.raw
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20160510_044.raw
FILES
20160510_045.raw
FILES
20160510_046.raw
FILES
20160510_047.raw
FILES
20160510_048.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Injection batch
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Extraction method
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 145 rows!
Added 145 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS385
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS386
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS387
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS389
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 39%|███▉      | 648/1662 [1:11:01<1:22:27,  4.88s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 39%|███▉      | 649/1662 [1:11:06<1:22:08,  4.87s/it]
 39%|███▉      | 650/1662 [1:11:07<1:02:12,  3.69s/it]
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Medium additive
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 547 rows!
Added 547 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS390
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  : missing value
IonizationSourceAndPolarity:
  : missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
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FILES
WB_060212_ASWAT_06.cdf
FILES
WB_060212_ASWAT_07.cdf
FILES
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FILES
WB_060212_ASWAT_09.cdf
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WB_060212_ASWAT_11.cdf
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WB_060212_ASWAT_12.cdf
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
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IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_tissue type
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Temperature
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Detector
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS391
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS392
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 39%|███▉      | 651/1662 [1:11:10<1:02:41,  3.72s/it]
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus IV: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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vino_Zenato_224B_1.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Source REF.7
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IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS393
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
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FILES
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS394
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS395
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS399
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4
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SampleCollectionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS400
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Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS401
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SampleCollectionMethod: ADDED!
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FILES
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Control_B2_Rep1_2.mzML
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Daidzein_B4_Rep1.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 159 rows!
Added 159 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4017
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS403
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS404
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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ENVOEnvironmentMaterial:
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HU_neg_102_b2.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Subset
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_BMI
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Material type
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Osmolality
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Injection order
IGNORED:  Samples_Role
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Sampling
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Batch
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 234 rows!
Added 234 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS405
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
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FILES
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Cont7_Tech2.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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UP-withGly6.raw
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Medium
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 197 rows!
Added 197 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS406
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Samples_HSCT timepoint
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Subject or Animal ID
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Time Point
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_aGVHD delay after HSCT
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Acute GVHD
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 40%|████      | 666/1662 [1:13:05<7:13:19, 26.10s/it]IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_Relapse
IGNORED:  Samples_Sample date
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Samples_Diagnosis
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Acute GVHD grading
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Box number
IGNORED:  Assay_Unit
IGNORED:  Samples_Relapse_1
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Death
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Inclusion number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 2372 rows!
Added 2372 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS407
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Method 4 21548/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 500 rows!
Added 500 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS408
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS409
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX TripleTOF 6600+: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Blank01 Neg.wiff
FILES
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FILES
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FILES
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FILES
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Y1 Neg.wiff
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FILES
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FILES
Y5 Pos.wiff
FILES
Y6 Neg.wiff
FILES
Y6 Pos.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Column type
IGNORED:  Samples_sample type
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS41
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS410/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 40%|████      | 671/1662 [1:13:32<2:13:37,  8.09s/it]
 40%|████      | 672/1662 [1:13:33<1:37:48,  5.93s/it]
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX TripleTOF 6600+: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Blank01 Neg.wiff
FILES
Blank01 Pos.wiff
FILES
Blank02 Neg.wiff
FILES
Blank02 Pos.wiff
FILES
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FILES
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FILES
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FILES
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_parasitization
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS411
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS412
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
GluHyp1_01.CDF
FILES
GluHyp1_02.CDF
FILES
GluHyp1_03.CDF
FILES
GluHyp2_01.CDF
FILES
GluHyp2_02.CDF
FILES
GluHyp2_03.CDF
FILES
GluHyp3_01.CDF
FILES
GluHyp3_02.CDF
FILES
GluHyp3_03.CDF
FILES
GluNat1_01.CDF
FILES
GluNat1_02.CDF
FILES
GluNat1_03.CDF
FILES
GluNor1_01.CDF
FILES
GluNor1_02.CDF
FILES
GluNor2_01.CDF
FILES
GluNor2_02.CDF
FILES
GluNor3_01.CDF
FILES
GluNor3_02.CDF
FILES
GlycCom1_01.CDF
FILES
GlycCom1_02.CDF
FILES
GlycCom1_03.CDF
FILES
GlycHyp1_01.CDF
FILES
GlycHyp1_02.CDF
FILES
GlycHyp1_03.CDF
FILES
GlycHyp2_01.CDF
FILES
GlycHyp2_02.CDF
FILES
GlycHyp2_03.CDF
FILES
GlycHyp3_01.CDF
FILES
GlycHyp3_02.CDF
FILES
GlycHyp3_03.CDF
FILES
GlycNor1_01.CDF
FILES
GlycNor1_02.CDF
FILES
GlycNor2_01.CDF
FILES
GlycNor2_02.CDF
FILES
GlycNor2_03.CDF
FILES
GlycNor3_01.CDF
FILES
GlycNor3_02.CDF
FILES
LacHyp1_01.CDF
FILES
LacHyp1_02.CDF
FILES
LacHyp1_03.CDF
FILES
LacHyp2_01.CDF
FILES
LacHyp2_02.CDF
FILES
LacHyp2_03.CDF
FILES
LacHyp3_01.CDF
FILES
LacHyp3_02.CDF
FILES
LacNat1_01.CDF
FILES
LacNat1_02.CDF
FILES
LacNor1_01.CDF
FILES
LacNor1_02.CDF
FILES
LacNor2_01.CDF
FILES
LacNor2_02.CDF
FILES
LacNor2_03.CDF
FILES
LacNor3_01.CDF
FILES
LacNor3_02.CDF
FILES
LacNor3_03.CDF
FILES
RibHyp1_01.CDF
FILES
RibHyp1_02.CDF
FILES
RibHyp1_03.CDF
FILES
RibHyp2_01.CDF
FILES
RibHyp2_02.CDF
FILES
RibHyp2_03.CDF
FILES
RibHyp3_01.CDF
FILES
RibHyp3_02.CDF
FILES
RibHyp3_03.CDF
FILES
RibNat1_01.CDF
FILES
RibNat1_02.CDF
FILES
RibNat1_03.CDF
FILES
RibNor1_01.CDF
FILES
RibNor1_02.CDF
FILES
RibNor1_03.CDF
FILES
RibNor2_01.CDF
FILES
RibNor2_02.CDF
FILES
RibNor2_03.CDF
FILES
RibNor3_01.CDF
FILES
RibNor3_02.CDF
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Incubation time
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Samples_Abundance
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Biological replicate
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Medium
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Plate surface area
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Cell seeding density
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Isotopic tracer/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 40%|████      | 673/1662 [1:13:39<1:35:47,  5.81s/it]
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 3
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS413
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  QExactive (Thermo Scientific): missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CSF_A001C_NEG.mzML
FILES
CSF_A001C_POS.mzML
FILES
CSF_A001P_NEG.mzML
FILES
CSF_A001P_POS.mzML
FILES
CSF_A002C_NEG.mzML
FILES
CSF_A002C_POS.mzML
FILES
CSF_A002P_NEG.mzML
FILES
CSF_A002P_POS.mzML
FILES
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PLASMA_A044P_NEG.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 24
Returning 336 rows!
Added 336 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4132
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 41%|████      | 675/1662 [1:13:56<1:53:15,  6.89s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 41%|████      | 676/1662 [1:14:01<1:41:58,  6.21s/it]
 41%|████      | 677/1662 [1:14:01<1:15:23,  4.59s/it]
IGNORED:  base
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Number of rows removed due to not enough metadata: 0
Returning 17 rows!
Added 17 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS414
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 76 rows!
Added 76 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS415
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4163
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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pos_B_MCDpre.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 41%|████      | 678/1662 [1:14:08<1:23:01,  5.06s/it]
FILES
RAW_FILES
POS
pos_C_MCDpost.raw
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Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS417
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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PH697119_neg_SWATH.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Sample group
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 240 rows!
Added 240 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS418
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS221
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA08POL20170920_HSLO010217VWBL_HUMAN_PLASMA6_20.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
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IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Couple number
IGNORED:  Samples_Chronic Graft Versus Host Disease
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Hematological disorder
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Samples_Cytomegalovirus (CMV) status
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Term Source REF.18
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Unit.1
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 384 rows!
Added 384 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS419
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS42
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS420
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Varian 4000 MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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F10-02.CDF
FILES
F10-03.CDF
FILES
F2-01.CDF
FILES
F2-02.CDF
FILES
F2-03.CDF
FILES
F3-01.CDF
FILES
F3-02.CDF
FILES
F3-03.CDF
FILES
F4-01.CDF
FILES
F4-02.CDF
FILES
F4-03.CDF
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F5-01.CDF
FILES
F5-02.CDF
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F5-03.CDF
FILES
F6-01.CDF
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F6-03.CDF
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F7-01.CDF
FILES
F7-02.CDF
FILES
F7-03.CDF
FILES
F8-01.CDF
FILES
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FILES
F8-03.CDF
FILES
F9-01.CDF
FILES
F9-02.CDF
FILES
F9-03.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
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IGNORED:  Is Fluid/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 41%|████      | 684/1662 [1:14:35<1:06:33,  4.08s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 41%|████      | 685/1662 [1:14:39<1:04:57,  3.99s/it]
 41%|████▏     | 686/1662 [1:14:40<50:01,  3.08s/it]  
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
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Number of rows removed due to not enough metadata: 0
Returning 89 rows!
Added 89 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4219
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion: missing value
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 51 rows!
Added 51 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS422
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4223
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS423
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
ENVOEnvironmentBiome:
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FILES
P2638_HILIC_11t0.mzXML
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P2638_HILIC_47t0.mzXML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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P2638_HILIC_47t6.mzXML
FILES
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P2638_HILIC_4t0.mzXML
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P2638_HILIC_4t6.mzXML
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P2638_HILIC_9t6.mzXML
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Number of rows removed due to not enough metadata: 0
Returning 70 rows!
Added 70 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS424
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS425
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS426
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
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HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4268
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2240
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  QTRAP 6500: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
BAL_214_Ecoli-MEcPP Ecoli_1_1.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-MEcPP Ecoli_1_2.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-MEcPP Ecoli_1_3.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-MEcPP Ecoli_1_4.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-MEcPP Ecoli_1_5.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-control Ecoli_2_1.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-control Ecoli_2_2.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-control Ecoli_2_3.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-control Ecoli_2_4.mzML
FILES
DERIVED_FILES
BAL_214_Ecoli-control Ecoli_2_5.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 42%|████▏     | 693/1662 [1:14:57<49:46,  3.08s/it]
 42%|████▏     | 694/1662 [1:14:58<39:06,  2.42s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 42%|████▏     | 695/1662 [1:15:03<52:32,  3.26s/it]
 42%|████▏     | 696/1662 [1:15:04<41:03,  2.55s/it]
 42%|████▏     | 697/1662 [1:15:05<32:32,  2.02s/it]
FILES
DERIVED_FILES
BAL_214_warmup_and_QC-H2O warmup.mzML
FILES
DERIVED_FILES
BAL_214_warmup_and_QC-NRG01.mzML
IGNORED:  Assay_Spectrum representation
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IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
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IGNORED:  Assay_Term Source REF.14
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  Assay_Term Source REF.16
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IGNORED:  Assay_Term Accession Number.15
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IGNORED:  Assay_Term Source REF.21
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Assay_Term Source REF.9
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IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.11
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IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 1
Returning 11 rows!
Added 11 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4276
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS428
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
UBERONBodyPartName:
  : missing value
FILES
mtab_VentDOM_tsq_02.raw
FILES
mtab_VentDOM_tsq_03.raw
FILES
mtab_VentDOM_tsq_03.raw
FILES
mtab_VentDOM_tsq_04.raw
FILES
mtab_VentDOM_tsq_04.raw
FILES
mtab_VentDOM_tsq_05.raw
FILES
mtab_VentDOM_tsq_05.raw
FILES
mtab_tsq_cara_020615_20.raw
FILES
mtab_tsq_cara_020615_20.raw
FILES
mtab_tsq_cara_020615_21.raw
FILES
mtab_tsq_cara_020615_21.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Sampling date
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 11 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS429
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS43
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS181
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 42%|████▏     | 698/1662 [1:15:09<44:40,  2.78s/it]
 42%|████▏     | 699/1662 [1:15:10<35:51,  2.23s/it]
 42%|████▏     | 700/1662 [1:15:11<28:46,  1.79s/it]
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QXA08POL20161207_UPAV0115VW_MEDICAGO_SEED_04.mzML
FILES
QXA08POL20161207_UPAV0115VW_MEDICAGO_SEED_06.mzML
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FILES
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS430
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS431
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS432
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu LCMS-IT-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
18-wk_HZ_IB_male_165_61__30min_pos-neg_87_Seg1Ev1.CDF
FILES
18-wk_HZ_IB_male_165_61__30min_pos-neg_87_Seg1Ev2.CDF
FILES
18-wk_HZ_IB_male_165_61__30min_pos-neg_87_Seg1Ev3.CDF
FILES
18-wk_HZ_IB_male_165_61__30min_pos-neg_87_Seg1Ev4.CDF
FILES
18-wk_KO_CC_male_108_55__30min_pos-neg_50_Seg1Ev1.CDF
FILES
18-wk_KO_CC_male_108_55__30min_pos-neg_50_Seg1Ev2.CDF
FILES
18-wk_KO_CC_male_108_55__30min_pos-neg_50_Seg1Ev3.CDF
FILES
18-wk_KO_CC_male_108_55__30min_pos-neg_50_Seg1Ev4.CDF
FILES
18-wk_KO_CC_male_10_54__30min_pos-neg_15_Seg1Ev1.CDF
FILES
18-wk_KO_CC_male_10_54__30min_pos-neg_15_Seg1Ev2.CDF
FILES
18-wk_KO_CC_male_10_54__30min_pos-neg_15_Seg1Ev3.CDF
FILES
18-wk_KO_CC_male_10_54__30min_pos-neg_15_Seg1Ev4.CDF
FILES
18-wk_KO_CC_male_115_53__30min_pos-neg_51_Seg1Ev1.CDF
FILES
18-wk_KO_CC_male_115_53__30min_pos-neg_51_Seg1Ev2.CDF
FILES
18-wk_KO_CC_male_115_53__30min_pos-neg_51_Seg1Ev3.CDF
FILES
18-wk_KO_CC_male_115_53__30min_pos-neg_51_Seg1Ev4.CDF
FILES
18-wk_KO_CC_male_13_56__30min_pos-neg_101_Seg1Ev1.CDF
FILES
18-wk_KO_CC_male_13_56__30min_pos-neg_101_Seg1Ev2.CDF
FILES
18-wk_KO_CC_male_13_56__30min_pos-neg_101_Seg1Ev3.CDF
FILES
18-wk_KO_CC_male_13_56__30min_pos-neg_101_Seg1Ev4.CDF
FILES
18-wk_KO_CC_male_206_48__30min_pos-neg_68_Seg1Ev1.CDF
FILES
18-wk_KO_CC_male_206_48__30min_pos-neg_68_Seg1Ev2.CDF
FILES
18-wk_KO_CC_male_206_48__30min_pos-neg_68_Seg1Ev3.CDF
FILES
18-wk_KO_CC_male_206_48__30min_pos-neg_68_Seg1Ev4.CDF
FILES
18-wk_KO_IB_male_363_57__30min_pos-neg_88_Seg1Ev1.CDF
FILES
18-wk_KO_IB_male_363_57__30min_pos-neg_88_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_363_57__30min_pos-neg_88_Seg1Ev3.CDF
FILES
18-wk_KO_IB_male_363_57__30min_pos-neg_88_Seg1Ev4.CDF
FILES
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FILES
18-wk_KO_IB_male_388_34__30min_pos-neg_89_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_388_34__30min_pos-neg_89_Seg1Ev3.CDF
FILES
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FILES
18-wk_KO_IB_male_389_35__30min_pos-neg_28_Seg1Ev1.CDF
FILES
18-wk_KO_IB_male_389_35__30min_pos-neg_28_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_389_35__30min_pos-neg_28_Seg1Ev3.CDF
FILES
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FILES
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FILES
18-wk_KO_IB_male_412_36__30min_pos-neg_106_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_412_36__30min_pos-neg_106_Seg1Ev3.CDF
FILES
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FILES
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FILES
18-wk_KO_IB_male_437_40__30min_pos-neg_70_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_437_40__30min_pos-neg_70_Seg1Ev3.CDF
FILES
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FILES
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FILES
18-wk_KO_IB_male_446_41__30min_pos-neg_85_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_446_41__30min_pos-neg_85_Seg1Ev3.CDF
FILES
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FILES
18-wk_KO_IB_male_463_45__30min_pos-neg_95_Seg1Ev1.CDF
FILES
18-wk_KO_IB_male_463_45__30min_pos-neg_95_Seg1Ev2.CDF
FILES
18-wk_KO_IB_male_463_45__30min_pos-neg_95_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_CC_male_205_47__30min_pos-neg_75_Seg1Ev1.CDF
FILES
18-wk_WT_CC_male_205_47__30min_pos-neg_75_Seg1Ev2.CDF
FILES
18-wk_WT_CC_male_205_47__30min_pos-neg_75_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_CC_male_413_37__30min_pos-neg_38_Seg1Ev1.CDF
FILES
18-wk_WT_CC_male_413_37__30min_pos-neg_38_Seg1Ev2.CDF
FILES
18-wk_WT_CC_male_413_37__30min_pos-neg_38_Seg1Ev3.CDF
FILES
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FILES
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FILES
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FILES
18-wk_WT_CC_male_465_46__30min_pos-neg_77_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_IB_male_164_60__30min_pos-neg_14_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_164_60__30min_pos-neg_14_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_164_60__30min_pos-neg_14_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_IB_male_246_49__30min_pos-neg_32_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_246_49__30min_pos-neg_32_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_246_49__30min_pos-neg_32_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_246_49__30min_pos-neg_32_Seg1Ev4.CDF
FILES
18-wk_WT_IB_male_249_50__30min_pos-neg_93_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_249_50__30min_pos-neg_93_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_249_50__30min_pos-neg_93_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_IB_male_250_51__30min_pos-neg_83_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_250_51__30min_pos-neg_83_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_250_51__30min_pos-neg_83_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_250_51__30min_pos-neg_83_Seg1Ev4.CDF
FILES
18-wk_WT_IB_male_251_52__30min_pos-neg_29_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_251_52__30min_pos-neg_29_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_251_52__30min_pos-neg_29_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_IB_male_364_58__30min_pos-neg_49_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_364_58__30min_pos-neg_49_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_364_58__30min_pos-neg_49_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_364_58__30min_pos-neg_49_Seg1Ev4.CDF
FILES
18-wk_WT_IB_male_365_59__30min_pos-neg_61_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_365_59__30min_pos-neg_61_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_365_59__30min_pos-neg_61_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_IB_male_387_33__30min_pos-neg_25_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_387_33__30min_pos-neg_25_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_387_33__30min_pos-neg_25_Seg1Ev3.CDF
FILES
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FILES
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FILES
18-wk_WT_IB_male_413_38__30min_pos-neg_55_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_413_38__30min_pos-neg_55_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_413_38__30min_pos-neg_55_Seg1Ev4.CDF
FILES
18-wk_WT_IB_male_435_39__30min_pos-neg_80_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_435_39__30min_pos-neg_80_Seg1Ev3.CDF
FILES
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FILES
18-wk_WT_IB_male_449_42__30min_pos-neg_79_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_449_42__30min_pos-neg_79_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_449_42__30min_pos-neg_79_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_449_42__30min_pos-neg_79_Seg1Ev4.CDF
FILES
18-wk_WT_IB_male_460_43__30min_pos-neg_19_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_460_43__30min_pos-neg_19_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_460_43__30min_pos-neg_19_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_460_43__30min_pos-neg_19_Seg1Ev4.CDF
FILES
18-wk_WT_IB_male_462_44__30min_pos-neg_45_Seg1Ev1.CDF
FILES
18-wk_WT_IB_male_462_44__30min_pos-neg_45_Seg1Ev2.CDF
FILES
18-wk_WT_IB_male_462_44__30min_pos-neg_45_Seg1Ev3.CDF
FILES
18-wk_WT_IB_male_462_44__30min_pos-neg_45_Seg1Ev4.CDF
FILES
18-wk_WT___male_365_62__30min_pos-neg_41_Seg1Ev1.CDF
FILES
18-wk_WT___male_365_62__30min_pos-neg_41_Seg1Ev2.CDF
FILES
18-wk_WT___male_365_62__30min_pos-neg_41_Seg1Ev3.CDF
FILES
18-wk_WT___male_365_62__30min_pos-neg_41_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_12_65__30min_pos-neg_43_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_12_65__30min_pos-neg_43_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_12_65__30min_pos-neg_43_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_12_65__30min_pos-neg_43_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_1_63__30min_pos-neg_26_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_1_63__30min_pos-neg_26_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_1_63__30min_pos-neg_26_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_1_63__30min_pos-neg_26_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_20_66__30min_pos-neg_22_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_20_66__30min_pos-neg_22_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_20_66__30min_pos-neg_22_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_20_66__30min_pos-neg_22_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_30_71__30min_pos-neg_63_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_30_71__30min_pos-neg_63_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_30_71__30min_pos-neg_63_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_30_71__30min_pos-neg_63_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_34_73__30min_pos-neg_39_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_34_73__30min_pos-neg_39_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_34_73__30min_pos-neg_39_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_34_73__30min_pos-neg_39_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_37_74__30min_pos-neg_100_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_37_74__30min_pos-neg_100_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_37_74__30min_pos-neg_100_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_37_74__30min_pos-neg_100_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_3_64__30min_pos-neg_76_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_3_64__30min_pos-neg_76_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_3_64__30min_pos-neg_76_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_3_64__30min_pos-neg_76_Seg1Ev4.CDF
FILES
6-wk_HZ_CC_male_44_76__30min_pos-neg_31_Seg1Ev1.CDF
FILES
6-wk_HZ_CC_male_44_76__30min_pos-neg_31_Seg1Ev2.CDF
FILES
6-wk_HZ_CC_male_44_76__30min_pos-neg_31_Seg1Ev3.CDF
FILES
6-wk_HZ_CC_male_44_76__30min_pos-neg_31_Seg1Ev4.CDF
FILES
6-wk_HZ___male_26_68__30min_pos-neg_73_Seg1Ev1.CDF
FILES
6-wk_HZ___male_26_68__30min_pos-neg_73_Seg1Ev2.CDF
FILES
6-wk_HZ___male_26_68__30min_pos-neg_73_Seg1Ev3.CDF
FILES
6-wk_HZ___male_26_68__30min_pos-neg_73_Seg1Ev4.CDF
FILES
6-wk_HZ___male_27_69__30min_pos-neg_82_Seg1Ev1.CDF
FILES
6-wk_HZ___male_27_69__30min_pos-neg_82_Seg1Ev2.CDF
FILES
6-wk_HZ___male_27_69__30min_pos-neg_82_Seg1Ev3.CDF
FILES
6-wk_HZ___male_27_69__30min_pos-neg_82_Seg1Ev4.CDF
FILES
6-wk_HZ___male_28_70__30min_pos-neg_23_Seg1Ev1.CDF
FILES
6-wk_HZ___male_28_70__30min_pos-neg_23_Seg1Ev2.CDF
FILES
6-wk_HZ___male_28_70__30min_pos-neg_23_Seg1Ev3.CDF
FILES
6-wk_HZ___male_28_70__30min_pos-neg_23_Seg1Ev4.CDF
FILES
6-wk_HZ___male_33_72__30min_pos-neg_58_Seg1Ev1.CDF
FILES
6-wk_HZ___male_33_72__30min_pos-neg_58_Seg1Ev2.CDF
FILES
6-wk_HZ___male_33_72__30min_pos-neg_58_Seg1Ev3.CDF
FILES
6-wk_HZ___male_33_72__30min_pos-neg_58_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_10_26__30min_pos-neg_91_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_10_26__30min_pos-neg_91_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_10_26__30min_pos-neg_91_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_10_26__30min_pos-neg_91_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_13_27__30min_pos-neg_13_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_13_27__30min_pos-neg_13_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_13_27__30min_pos-neg_13_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_13_27__30min_pos-neg_13_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_21_29__30min_pos-neg_33_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_21_29__30min_pos-neg_33_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_21_29__30min_pos-neg_33_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_21_29__30min_pos-neg_33_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_35_30__30min_pos-neg_20_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_35_30__30min_pos-neg_20_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_35_30__30min_pos-neg_20_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_35_30__30min_pos-neg_20_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_38_32__30min_pos-neg_62_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_38_32__30min_pos-neg_62_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_38_32__30min_pos-neg_62_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_38_32__30min_pos-neg_62_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_395_13__30min_pos-neg_56_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_395_13__30min_pos-neg_56_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_395_13__30min_pos-neg_56_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_395_13__30min_pos-neg_56_Seg1Ev4.CDF
FILES
6-wk_KO_CC_male_5_25__30min_pos-neg_94_Seg1Ev1.CDF
FILES
6-wk_KO_CC_male_5_25__30min_pos-neg_94_Seg1Ev2.CDF
FILES
6-wk_KO_CC_male_5_25__30min_pos-neg_94_Seg1Ev3.CDF
FILES
6-wk_KO_CC_male_5_25__30min_pos-neg_94_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_354_1__30min_pos-neg_27_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_354_1__30min_pos-neg_27_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_354_1__30min_pos-neg_27_Seg1Ev3.CDF
FILES
6-wk_KO_IB_male_354_1__30min_pos-neg_27_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_361_6__30min_pos-neg_47_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_361_6__30min_pos-neg_47_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_361_6__30min_pos-neg_47_Seg1Ev3.CDF
FILES
6-wk_KO_IB_male_361_6__30min_pos-neg_47_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_369_8__30min_pos-neg_71_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_369_8__30min_pos-neg_71_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_369_8__30min_pos-neg_71_Seg1Ev3.CDF
FILES
6-wk_KO_IB_male_369_8__30min_pos-neg_71_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_395_12__30min_pos-neg_97_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_395_12__30min_pos-neg_97_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_395_12__30min_pos-neg_97_Seg1Ev3.CDF
FILES
6-wk_KO_IB_male_395_12__30min_pos-neg_97_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_398_14__30min_pos-neg_67_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_398_14__30min_pos-neg_67_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_398_14__30min_pos-neg_67_Seg1Ev3.CDF
FILES
6-wk_KO_IB_male_398_14__30min_pos-neg_67_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_401_16__30min_pos-neg_40_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_401_16__30min_pos-neg_40_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_401_16__30min_pos-neg_40_Seg1Ev3.CDF
FILES
6-wk_KO_IB_male_401_16__30min_pos-neg_40_Seg1Ev4.CDF
FILES
6-wk_KO_IB_male_476_17__30min_pos-neg_99_Seg1Ev1.CDF
FILES
6-wk_KO_IB_male_476_17__30min_pos-neg_99_Seg1Ev2.CDF
FILES
6-wk_KO_IB_male_476_17__30min_pos-neg_99_Seg1Ev3.CDF
FILES
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6-wk_KO_IB_male_510_18__30min_pos-neg_104_Seg1Ev2.CDF
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6-wk_KO_IB_male_535_79__30min_pos-neg_59_Seg1Ev4.CDF
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6-wk_WT_CC_male_19_28__30min_pos-neg_17_Seg1Ev4.CDF
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6-wk_WT_CC_male_2_23__30min_pos-neg_64_Seg1Ev1.CDF
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6-wk_WT_CC_male_4_24__30min_pos-neg_69_Seg1Ev1.CDF
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6-wk_WT_CC_male_4_24__30min_pos-neg_69_Seg1Ev4.CDF
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6-wk_WT_IB_male_359_4__30min_pos-neg_35_Seg1Ev1.CDF
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6-wk_WT_IB_male_359_4__30min_pos-neg_35_Seg1Ev2.CDF
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6-wk_WT_IB_male_359_4__30min_pos-neg_35_Seg1Ev3.CDF
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6-wk_WT_IB_male_359_4__30min_pos-neg_35_Seg1Ev4.CDF
FILES
6-wk_WT_IB_male_360_5__30min_pos-neg_44_Seg1Ev1.CDF
FILES
6-wk_WT_IB_male_360_5__30min_pos-neg_44_Seg1Ev2.CDF
FILES
6-wk_WT_IB_male_360_5__30min_pos-neg_44_Seg1Ev3.CDF
FILES
6-wk_WT_IB_male_360_5__30min_pos-neg_44_Seg1Ev4.CDF
FILES
6-wk_WT_IB_male_362_7__30min_pos-neg_86_Seg1Ev1.CDF
FILES
6-wk_WT_IB_male_362_7__30min_pos-neg_86_Seg1Ev2.CDF
FILES
6-wk_WT_IB_male_362_7__30min_pos-neg_86_Seg1Ev3.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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6-wk_WT_IB_male_399_15__30min_pos-neg_46_Seg1Ev2.CDF
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6-wk_WT_IB_male_399_15__30min_pos-neg_46_Seg1Ev3.CDF
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6-wk_WT_IB_male_399_15__30min_pos-neg_46_Seg1Ev4.CDF
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6-wk_WT_IB_male_512_19__30min_pos-neg_81_Seg1Ev1.CDF
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6-wk_WT_IB_male_512_19__30min_pos-neg_81_Seg1Ev2.CDF
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6-wk_WT_IB_male_512_19__30min_pos-neg_81_Seg1Ev3.CDF
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6-wk_WT_IB_male_520_21__30min_pos-neg_65_Seg1Ev1.CDF
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6-wk_WT_IB_male_520_21__30min_pos-neg_65_Seg1Ev3.CDF
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6-wk_WT_IB_male_521_22__30min_pos-neg_74_Seg1Ev4.CDF
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6-wk_WT_IB_male_533_78__30min_pos-neg_16_Seg1Ev1.CDF
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QC__30min_pos-neg_96_Seg1Ev1.CDF
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
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IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_inflammation
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_genotype
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
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IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
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IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 371 rows!
Added 371 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS433
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
AX1_GB5_01_10470.mzML
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BD1_GA3_01_10459.mzML
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BL1_GA6_01_10462.mzML
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KA1_GB1_01_10465.mzML
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Musty_GC4_01_10477.mzML
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NB1_GB8_01_10473.mzML
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PA1_GA4_01_10460.mzML
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PK1_GB7_01_10472.mzML
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RB4_GB2_01_10466.mzML
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Rancid_GC2_01_10475.mzML
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TP1_GA8_01_10464.mzML
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YH1_GA7_01_10463.mzML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Region
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
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IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Bitterness
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Musty
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Harvest date
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Samples_Fruitiness
IGNORED:  Samples_Fusty
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Oil quality
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
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IGNORED:  Assay_Derivatization
IGNORED:  filepath
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Rancid
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_Production Type
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS434
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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12_STD3_00.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 908
Returning 5567 rows!
Added 5567 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS435
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS436
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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HILIC_POS_liver_T_22.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 42%|████▏     | 705/1662 [1:17:26<5:24:55, 20.37s/it]
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Number of rows removed due to not enough metadata: 8
Returning 168 rows!
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS437
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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NPB-HP_REPLICATE3_LP.CDF
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NPB-HP_REPLICATE4_LP.CDF
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NPB-HP_REPLICATE4_PP.CDF
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NPB-HP_REPLICATE5_LP.CDF
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NPB-HP_REPLICATE5_PP.CDF
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NPB-PF_REPLICATE1_LP.CDF
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IGNORED:  Samples_Term Accession Number.8
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 42%|████▏     | 706/1662 [1:17:30<4:04:06, 15.32s/it]
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Selection marker gene
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4384
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Term Accession Number.8/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Sampling time
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Animal ID
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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Number of rows removed due to not enough metadata: 0
Returning 411 rows!
Added 411 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4387
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS44
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS441
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q I: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 160 rows!
Added 160 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS444
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS445
Request successful!
SampleCollectionMethod: ADDED!
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3pos.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 712/1662 [1:17:55<1:29:52,  5.68s/it]
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Number of rows removed due to not enough metadata: 0
Returning 240 rows!
Added 240 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2319
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Term Source REF.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 713/1662 [1:18:06<1:52:14,  7.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 714/1662 [1:18:10<1:37:38,  6.18s/it]
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 490 rows!
Added 490 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS447
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 45 rows!
Added 45 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS182
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
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HealthStatus: ADDED!
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Country: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
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FILES
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Number of rows removed due to not enough metadata: 13/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 715/1662 [1:18:14<1:29:50,  5.69s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 716/1662 [1:18:21<1:34:38,  6.00s/it]
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2333
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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FILES
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RAW_FILES
AR_20171107_C4X3O3Neg.raw
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AR_20171107_C4X3O3Pos.raw
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AR_20171109_12OSWNegI.raw
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AR_20171109_12OSWNegII.raw
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AR_20171109_12OSWPosIII.raw
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Number of rows removed due to not enough metadata: 0
Returning 93 rows!
Added 93 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS449
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6530 Accurate-Mass Q-TOF: missing value
  Agilent 6460 Triple Quadrupole: missing value
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  nan: missing value
ENVOEnvironmentMaterial:
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FILES
13047AHQ_0001_A1.mzML
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13047AHQ_0005_A1.mzML
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13047AHQ_0008_A1.mzML
FILES
13047AHQ_0010_A1.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 717/1662 [1:18:26<1:28:31,  5.62s/it]
FILES
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13047HHQ_005_A1.mzML
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13047HHQ_006_A1.mzML
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Number of rows removed due to not enough metadata: 0
Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS450
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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10101.CDF
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IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 718/1662 [1:18:30<1:21:26,  5.18s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 719/1662 [1:18:33<1:12:20,  4.60s/it]
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Mediator Arabidopsis complex
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS451
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Fermetation process
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS452
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
M1_1.mzXML
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M1_2.mzXML
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M1_3.mzXML
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M23_1a.mzXML
FILES
M23_2a.mzXML
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M23_3a.mzXML
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NDC24_1.mzXML
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FILES
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Pool_20a.mzXML
FILES
Pool_21a.mzXML
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FILES
Pool_23a.mzXML
FILES
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FILES
Pool_7a.mzXML
FILES
Pool_8.mzXML
FILES
Pool_8a.mzXML
FILES
Pool_9.mzXML
FILES
Pool_9a.mzXML
FILES
SOLVENT_BLANK.mzXML
FILES
SOLVa.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 43%|████▎     | 720/1662 [1:18:38<1:13:58,  4.71s/it]
 43%|████▎     | 721/1662 [1:18:39<55:28,  3.54s/it]  
 43%|████▎     | 722/1662 [1:18:40<42:29,  2.71s/it]
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 44%|████▎     | 725/1662 [1:18:42<23:30,  1.51s/it]
 44%|████▎     | 726/1662 [1:18:43<20:09,  1.29s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 44%|████▎     | 727/1662 [1:18:49<39:49,  2.56s/it]
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS453
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS454
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS455
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS456
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS457
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1831
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS459
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
000cnif_IV465_110616210654.mzxml
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48cIV111.mzxml
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48cIV199.mzxml
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48cIV280.mzxml
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48cIV445.mzxml
FILES
48cIV461.mzxml
FILES
48cnif_IV491_110616215418.mzxml
FILES
48cnif_IV507_110616153458.mzxml
FILES
5cIV107.mzxml
FILES
5cIV195.mzxml
FILES
5cIV276.mzxml
FILES
5cIV392.mzxml
FILES
5cIV441.mzxml
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5cIV457.mzxml
FILES
5cIV584.mzxml
FILES
5cIV600.mzxml
FILES
5cIV604.mzxml
FILES
5cIV614.mzxml
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5cIV624.mzxml
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5cIV634.mzxml
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GMS224_A.mzxml
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GMS225_A.mzxml
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GMS226_A.mzxml
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GMS227_A.mzxml
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GMS228.mzxml
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GMS229.mzxml
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GMS230.mzxml
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GMS231.mzxml
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GMS232.mzxml
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GMS233.mzxml
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GMS234.mzxml
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GMS235.mzxml
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GMS236.mzxml
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GMS237.mzxml
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GMS268a.mzxml
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GMS269a.mzxml
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GMS270a.mzxml
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GMS271a.mzxml
FILES
GMS272a.mzxml
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GMS279A.mzxml
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GMS280A.mzxml
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GMS281A.mzxml
FILES
GMS282A.mzxml
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GMS322a.mzxml
FILES
GMS324a.mzxml
FILES
GMS326a.mzxml
FILES
GMS328a.mzxml
FILES
GMS354.mzxml
FILES
GMS358.mzxml
FILES
GMS391.mzxml
FILES
GMS395.mzxml
FILES
Iz_TC_DMSF_0hr_04.mzxml
FILES
Iz_TC_DMSF_1hr_07.mzxml
FILES
Iz_TC_DMSF_24hr_10.mzxml
FILES
Iz_TC_DMSF_48hr_13.mzxml
FILES
Iz_TC_DMSF_72hr_16.mzxml
FILES
c00GMS349.mzxml
FILES
c00GMS364.mzxml
FILES
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c01GMS350.mzxml
FILES
c01GMS366.mzxml
FILES
c01GMS374.mzxml
FILES
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FILES
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FILES
c24GMS376.mzxml
FILES
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FILES
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FILES
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FILES
rIV643.mzxml
FILES
rIV644.mzxml
FILES
rIV645.mzxml
FILES
roIV638.mzxml
FILES
roIV639.mzxml
FILES
roIV640.mzxml
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 153 rows!
Added 153 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS460
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker compact: missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 44%|████▍     | 728/1662 [1:18:53<46:48,  3.01s/it]
 44%|████▍     | 729/1662 [1:18:54<36:26,  2.34s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 44%|████▍     | 730/1662 [1:18:58<44:48,  2.88s/it]
 44%|████▍     | 731/1662 [1:18:59<35:11,  2.27s/it]
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
C12A.mzML
FILES
C12B.mzML
FILES
C12C.mzML
FILES
C12D.mzML
FILES
C12E.mzML
FILES
C1A.mzML
FILES
C1B.mzML
FILES
C1C.mzML
FILES
C1D.mzML
FILES
C1E.mzML
FILES
C2A.mzML
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C2B.mzML
FILES
C2C.mzML
FILES
C2D.mzML
FILES
C2E.mzML
FILES
C3A.mzML
FILES
C3B.mzML
FILES
C3C.mzML
FILES
C3D.mzML
FILES
C3E.mzML
FILES
C6A.mzML
FILES
C6B.mzML
FILES
C6C.mzML
FILES
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I12A.mzML
FILES
I12B.mzML
FILES
I12C.mzML
FILES
I12D.mzML
FILES
I12E.mzML
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I1A.mzML
FILES
I1B.mzML
FILES
I1C.mzML
FILES
I1D.mzML
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I1E.mzML
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I2A.mzML
FILES
I2B.mzML
FILES
I2C.mzML
FILES
I2D.mzML
FILES
I2E.mzML
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I3A.mzML
FILES
I3B.mzML
FILES
I3C.mzML
FILES
I3D.mzML
FILES
I3E.mzML
FILES
I6A.mzML
FILES
I6B.mzML
FILES
I6C.mzML
FILES
I6D.mzML
FILES
I6E.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Inoculation
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4609
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS461
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
  Thermo Scientific TSQ Vantage: missing value
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mtab_grazing_tsq_74.raw
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Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS462
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS464
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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  Thermo Scientific Q Exactive: missing value
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IGNORED:  Assay_Column type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 44%|████▍     | 732/1662 [1:19:08<1:06:48,  4.31s/it]
 44%|████▍     | 733/1662 [1:19:09<50:43,  3.28s/it]  
Number of rows removed due to not enough metadata: 29
Returning 208 rows!
Added 208 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS465
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS467
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 168 rows!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 44%|████▍     | 734/1662 [1:19:16<1:08:30,  4.43s/it]
 44%|████▍     | 735/1662 [1:19:16<51:42,  3.35s/it]  
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4684
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS469
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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PR35_v1_female_arm1_baseline_neg.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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PR42_v3_male_arm2_baseline.mzXML
FILES
PR42_v3_male_arm2_baseline_neg.mzXML
FILES
PR42_v4_male_arm2_juice.mzXML
FILES
PR42_v4_male_arm2_juice_neg.mzXML
FILES
PR43_v1_female_arm1_baseline.mzXML
FILES
PR43_v1_female_arm1_baseline_neg.mzXML
FILES
PR43_v2_female_arm1_apple.mzXML
FILES
PR43_v2_female_arm1_apple_neg.mzXML
FILES
PR43_v3_female_arm2_baseline.mzXML
FILES
PR43_v3_female_arm2_baseline_neg.mzXML
FILES
PR43_v4_female_arm2_juice.mzXML
FILES
PR43_v4_female_arm2_juice_neg.mzXML
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IGNORED:  Samples_Term Source REF.8
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Number of rows removed due to not enough metadata: 0
Returning 640 rows!
Added 640 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS470
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS471
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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FILES
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Control_Aq_MSMS_1.raw
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Meta_Org.raw
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Meta_Org_MSMS.raw
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SG-Sealed_Aq.raw
FILES
SG-Sealed_Aq_MSMS.raw
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SG-Sealed_Org.raw
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SG-Sealed_Org_MSMS.raw
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Trich_Aq.raw
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Trich_Aq_1.raw
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Trich_Aq_MSMS_1.raw
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Trich_Aq_MSMS_2.raw
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Trich_Org.raw
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Trich_Org_1.raw
FILES
Trich_Org_MSMS_1.raw
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 44%|████▍     | 738/1662 [1:19:36<1:17:41,  5.04s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 44%|████▍     | 739/1662 [1:19:40<1:10:51,  4.61s/it]
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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Number of rows removed due to not enough metadata: 0
Returning 31 rows!
Added 31 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2421
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Thermo Scientific LTQ Orbitrap XL: missing value
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FILES
RAW_FILES
1.raw
FILES
RAW_FILES
10.raw
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53.raw
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55.raw
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56.raw
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57.raw
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Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS472
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Q-Tof Premier: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
K_1_48_#1_neg_112.raw
FILES
K_1_48_#1_pos_105.raw
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K_1_48_#2_neg_113.raw
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K_1_48_#2_pos_106.raw
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K_1_48_#3_neg_114.raw
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K_1_48_#5_neg_116.raw
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K_1_O_#4_neg_111.raw
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K_1_O_#4_pos_104.raw
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K_WT_48_#3_pos_116.raw
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K_WT_O_#4_neg_120.raw
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K_WT_O_#4_pos_113.raw
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IGNORED:  Samples_replicate/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 45%|████▍     | 740/1662 [1:19:43<1:05:31,  4.26s/it]
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS473
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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L_JU_T0_neg.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 45%|████▍     | 741/1662 [1:19:53<1:28:53,  5.79s/it]
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S_JU_T5_pos.mzXML
FILES
S_JU_T8_24_neg.mzXML
FILES
S_JU_T8_24_pos.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Chromatography Instrument
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Derivatization
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Time Point
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Person
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 472 rows!
Added 472 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS476
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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160701_UDS_39.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 236 rows!
Added 236 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS478
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS479
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 45%|████▍     | 744/1662 [1:20:06<1:17:24,  5.06s/it]
 45%|████▍     | 745/1662 [1:20:07<57:55,  3.79s/it]  
 45%|████▍     | 746/1662 [1:20:08<44:37,  2.92s/it]
 45%|████▍     | 747/1662 [1:20:09<34:48,  2.28s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 45%|████▌     | 748/1662 [1:20:12<38:55,  2.56s/it]
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HFS_vehicle_T0_1.raw
FILES
HFS_vehicle_T0_2.raw
FILES
HFS_vehicle_T0_3.raw
FILES
HFS_vehicle_T24_1.raw
FILES
HFS_vehicle_T24_2.raw
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HFS_vehicle_T4_1.raw
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HFS_vehicle_T4_3.raw
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WBE_conc1_PBST0_1.raw
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blank1.raw
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blank3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_concentration of willow bark extract
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_incubation time
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_treatment with human fecal suspension
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 9
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS48
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS481
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS482
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS483
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2-Si HDMS: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
070120_CM_neg_15min_SIN_I.mzML
FILES
070120_CM_neg_15min_SIN_II.mzML
FILES
070120_CM_neg_15min_SIN_III.mzML
FILES
070120_CM_neg_16h_SIN_I.mzML
FILES
070120_CM_neg_16h_SIN_II.mzML
FILES
070120_CM_neg_16h_SIN_III.mzML
FILES
070120_CM_neg_30min_SIN_I.mzML
FILES
070120_CM_neg_30min_SIN_II.mzML
FILES
070120_CM_neg_30min_SIN_III.mzML
FILES
070120_CM_neg_70min_SIN_I.mzML
FILES
070120_CM_neg_70min_SIN_II.mzML
FILES
070120_CM_neg_70min_SIN_III.mzML
FILES
070120_CM_neg_C16h_I.mzML
FILES
070120_CM_neg_C16h_II.mzML
FILES
070120_CM_neg_C16h_III.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Treatment time
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS484
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Bruker micrOTOF-Q III: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Amp1.mzXML
FILES
Amp2.mzXML
FILES
Amp3.mzXML
FILES
Amp4.mzXML
FILES
Amp5.mzXML
FILES
Blanknew.mzXML
FILES
Hook1.mzXML
FILES
Hook2.mzXML
FILES
Hook3.mzXML
FILES
Hook4.mzXML
FILES
Hook5.mzXML
FILES
Raff1.mzXML
FILES
Raff2.mzXML
FILES
Raff3.mzXML
FILES
Raff4.mzXML
FILES
Raff5.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 45%|████▌     | 749/1662 [1:20:17<51:21,  3.38s/it]
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Pitcher plant
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS487
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific MALDI LTQ Orbitrap XL: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
test_POS.raw
IGNORED:  Assay_Spectrum representation
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IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
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IGNORED:  Assay_Term Accession Number.22
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IGNORED:  Assay_Term Source REF.34
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IGNORED:  Assay_Term Accession Number.33
IGNORED:  Assay_Term Source REF.22
IGNORED:  Assay_Term Source REF.23
IGNORED:  Assay_Term Accession Number.28
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Term Accession Number.32
IGNORED:  Assay_Term Source REF.30
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Assay_Term Source REF.32
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Term Source REF.27
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.36
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Term Source REF.28
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Spatial resolution
IGNORED:  Assay_Term Accession Number.29
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.31
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Term Source REF.24
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.29
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Term Accession Number.36
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Term Source REF.21
IGNORED:  Assay_Term Source REF.17
IGNORED:  Assay_Term Accession Number.27
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Scan type
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Source REF.33
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Derived Spectral Data File.1
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Term Accession Number.24
IGNORED:  Assay_Term Source REF.26
IGNORED:  Assay_Target material
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Term Accession Number.30
IGNORED:  Assay_Term Accession Number.26
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Assay_Term Accession Number.34
IGNORED:  Assay_Term Accession Number.21
IGNORED:  filename_lower
IGNORED:  Assay_Term Accession Number.23
IGNORED:  Assay_Term Accession Number.25
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Term Source REF.31
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_tissue type
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Source REF.35
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Term Accession Number.35
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 45%|████▌     | 750/1662 [1:20:21<51:53,  3.41s/it]
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS488
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
141104s005_1.raw
FILES
141104s006_2.raw
FILES
141104s007_3.raw
FILES
141104s008_4.raw
FILES
141104s009_5.raw
FILES
141104s010_6.raw
FILES
141104s011_7.raw
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141104s012_8.raw
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141104s013_9.raw
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141104s014_10.raw
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141104s015_11.raw
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141104s016_12.raw
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141104s017_13.raw
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141104s018_14.raw
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141104s019_15.raw
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141104s020_16.raw
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141104s021_17.raw
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141104s022_18.raw
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141104s023_19.raw
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141104s025_21.raw
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141104s026_22.raw
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141104s056_41.raw
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141104s063_48.raw
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141104s082_66.raw
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141104s093_77.raw
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  extension
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IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_MS Assay Name
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IGNORED:  keep
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Number of rows removed due to not enough metadata: 0
Returning 700 rows!
Added 700 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4895
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
leishmaniasis
NEG
C10_2_neg.mzXML
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DERIVED_FILES
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NEG
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FILES
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NEG
C12_2_neg.mzXML
FILES
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NEG
C13_2_neg.mzXML
FILES
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leishmaniasis
NEG
C14_2_neg.mzXML
FILES
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NEG
C15_2_neg.mzXML
FILES
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leishmaniasis
NEG
C16_2_neg.mzXML
FILES
DERIVED_FILES
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NEG
C17_2_neg.mzXML
FILES
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NEG
C18_2_neg.mzXML
FILES
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NEG
C19_2_neg.mzXML
FILES
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NEG
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NEG
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FILES
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NEG
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FILES
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leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
C4_2_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
C5_2_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
C6_2_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
C7_2_neg.mzXML
FILES
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NEG
C8_2_neg.mzXML
FILES
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NEG
C9_2_neg.mzXML
FILES
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NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
VL13_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
VL16_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
VL17_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
VL18_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
VL19_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
VL1_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
VL3_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
VL4_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
VL6_r_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
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NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
matrix_blank_VL_1_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
matrix_blank_VL_5_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
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FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_11_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_12_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_13_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_14_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_15_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_16_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_17_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_18_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_19_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_20_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_21_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_22_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_23_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_24_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_25_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_26_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_7_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_8_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
NEG
pooled_VL_9_neg.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C10_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C11_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C12_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C13_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C14_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C15_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C16_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C17_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C18_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C19_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C1_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C20_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C2_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C3_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C4_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C5_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C6_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C7_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C8_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
C9_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
FRAG_VL_POS.mzML
FILES
DERIVED_FILES
leishmaniasis
POS
VL1.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL10.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL11.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL12.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL13.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL14.mzXML
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DERIVED_FILES
leishmaniasis
POS
VL15.mzXML
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DERIVED_FILES
leishmaniasis
POS
VL16.mzXML
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DERIVED_FILES
leishmaniasis
POS
VL17.mzXML
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DERIVED_FILES
leishmaniasis
POS
VL18.mzXML
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DERIVED_FILES
leishmaniasis
POS
VL19.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL3.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL4.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL5.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL6.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL6_r.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL6_r2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL7.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL8.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
VL9.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
matrix_blank_VL_1.mzXML
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DERIVED_FILES
leishmaniasis
POS
matrix_blank_VL_2.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
matrix_blank_VL_3.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
matrix_blank_VL_4.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
matrix_blank_VL_5.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
matrix_blank_VL_6.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_10.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_11.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_12.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_13.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_14.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_15.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_16.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_17.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_18.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_19.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_20.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_21.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_22.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_23.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_24.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_25.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_26.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_7.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_8.mzXML
FILES
DERIVED_FILES
leishmaniasis
POS
pooled_VL_9.mzXML
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DERIVED_FILES
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FRAG_Malaria_NEG.mzXML
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DERIVED_FILES
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NEG
KM_11_neg.mzXML
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NEG
KM_12_neg.mzXML
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DERIVED_FILES
malaria
NEG
KM_13_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
KM_14_neg.mzXML
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DERIVED_FILES
malaria
NEG
KM_15_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
KM_16_neg.mzXML
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DERIVED_FILES
malaria
NEG
KM_17_neg.mzXML
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DERIVED_FILES
malaria
NEG
KM_18_neg.mzXML
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DERIVED_FILES
malaria
NEG
KM_19_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
KM_1_neg.mzXML
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DERIVED_FILES
malaria
NEG
KM_20_neg.mzXML
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DERIVED_FILES
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NEG
KM_21_neg.mzXML
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DERIVED_FILES
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NEG
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FILES
DERIVED_FILES
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NEG
KM_3_neg.mzXML
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DERIVED_FILES
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NEG
KM_4_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
KM_5_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
KM_6_neg.mzXML
FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
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NEG
KM_9_neg.mzXML
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DERIVED_FILES
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matrix_blank_Malaria_1_neg.mzXML
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DERIVED_FILES
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NEG
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DERIVED_FILES
malaria
NEG
matrix_blank_Malaria_3_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
matrix_blank_Malaria_4_neg.mzXML
FILES
DERIVED_FILES
malaria
NEG
matrix_blank_Malaria_5_neg.mzXML
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DERIVED_FILES
malaria
NEG
matrix_blank_Malaria_6_neg.mzXML
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DERIVED_FILES
malaria
NEG
pooled_Malaria_10_neg.mzXML
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DERIVED_FILES
malaria
NEG
pooled_Malaria_11_neg.mzXML
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DERIVED_FILES
malaria
NEG
pooled_Malaria_12_neg.mzXML
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DERIVED_FILES
malaria
NEG
pooled_Malaria_13_neg.mzXML
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DERIVED_FILES
malaria
NEG
pooled_Malaria_7_neg.mzXML
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DERIVED_FILES
malaria
NEG
pooled_Malaria_8_neg.mzXML
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DERIVED_FILES
malaria
NEG
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DERIVED_FILES
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POS
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DERIVED_FILES
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POS
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DERIVED_FILES
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POS
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DERIVED_FILES
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POS
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POS
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POS
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POS
KM_14.mzXML
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POS
KM_15.mzXML
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POS
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POS
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POS
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DERIVED_FILES
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POS
KM_19.mzXML
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DERIVED_FILES
malaria
POS
KM_2.mzXML
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DERIVED_FILES
malaria
POS
KM_20.mzXML
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DERIVED_FILES
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POS
KM_21.mzXML
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malaria
POS
KM_3.mzXML
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DERIVED_FILES
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POS
KM_4.mzXML
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DERIVED_FILES
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POS
KM_5.mzXML
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malaria
POS
KM_6.mzXML
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malaria
POS
KM_7.mzXML
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POS
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POS
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POS
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DERIVED_FILES
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POS
matrix_blank_Malaria_4.mzXML
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POS
matrix_blank_Malaria_5.mzXML
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POS
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POS
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POS
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POS
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POS
pooled_Malaria_13.mzXML
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POS
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POS
pooled_Malaria_8.mzXML
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DERIVED_FILES
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POS
pooled_Malaria_9.mzXML
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NEG
C1_neg.mzXML
FILES
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NEG
C2_neg.mzXML
FILES
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NEG
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FILES
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NEG
C4_neg.mzXML
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NEG
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FILES
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NEG
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FILES
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NEG
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NEG
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FILES
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zika
NEG
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FILES
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zika
NEG
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FILES
DERIVED_FILES
zika
NEG
ZIK6_neg.mzXML
FILES
DERIVED_FILES
zika
NEG
ZIK7_neg.mzXML
FILES
DERIVED_FILES
zika
NEG
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NEG
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FILES
DERIVED_FILES
zika
NEG
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DERIVED_FILES
zika
NEG
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FILES
DERIVED_FILES
zika
NEG
matrix_blank_ZIKA_3_neg.mzXML
FILES
DERIVED_FILES
zika
NEG
matrix_blank_ZIKA_4_neg.mzXML
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NEG
matrix_blank_ZIKA_5_neg.mzXML
FILES
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zika
NEG
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FILES
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zika
NEG
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DERIVED_FILES
zika
NEG
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FILES
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zika
NEG
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NEG
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FILES
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POS
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POS
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POS
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FILES
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POS
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POS
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POS
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POS
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POS
C6_r.mzXML
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POS
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POS
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POS
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POS
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POS
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POS
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FILES
DERIVED_FILES
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POS
ZIK3.mzXML
FILES
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POS
ZIK4.mzXML
FILES
DERIVED_FILES
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POS
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FILES
DERIVED_FILES
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POS
ZIK6.mzXML
FILES
DERIVED_FILES
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POS
ZIK7.mzXML
FILES
DERIVED_FILES
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POS
ZIK8.mzXML
FILES
DERIVED_FILES
zika
POS
ZIK9.mzXML
FILES
DERIVED_FILES
zika
POS
matrix_blank_ZIKA_1.mzXML
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DERIVED_FILES
zika
POS
matrix_blank_ZIKA_2.mzXML
FILES
DERIVED_FILES
zika
POS
matrix_blank_ZIKA_3.mzXML
FILES
DERIVED_FILES
zika
POS
matrix_blank_ZIKA_4.mzXML
FILES
DERIVED_FILES
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POS
matrix_blank_ZIKA_5.mzXML
FILES
DERIVED_FILES
zika
POS
matrix_blank_ZIKA_6.mzXML
FILES
DERIVED_FILES
zika
POS
pooled_ZIKA_10.mzXML
FILES
DERIVED_FILES
zika
POS
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FILES
DERIVED_FILES
zika
POS
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FILES
DERIVED_FILES
zika
POS
pooled_ZIKA_8.mzXML
FILES
DERIVED_FILES
zika
POS
pooled_ZIKA_9.mzXML
FILES
RAW_FILES
leishmaniasis
Std1_1_06Mar18.raw
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RAW_FILES
leishmaniasis
Std1_2_06Mar18.raw
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RAW_FILES
leishmaniasis
Std2_1_06Mar18.raw
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RAW_FILES
leishmaniasis
Std2_2_06Mar18.raw
FILES
RAW_FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 45%|████▌     | 752/1662 [1:20:42<1:44:39,  6.90s/it]
 45%|████▌     | 753/1662 [1:20:43<1:16:50,  5.07s/it]
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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Number of rows removed due to not enough metadata: 18
Returning 270 rows!
Added 270 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS49
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS492
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
  Thermo Scientific Q Exactive: missing value
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150930_HILIC_TS_pos_7A_9h.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 200
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS493
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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ENVOEnvironmentBiome:
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IGNORED:  Assay_Term Accession Number.4
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Number of rows removed due to not enough metadata: 0/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 45%|████▌     | 755/1662 [1:20:53<1:15:32,  5.00s/it]
 45%|████▌     | 756/1662 [1:20:54<57:38,  3.82s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 46%|████▌     | 757/1662 [1:20:58<56:46,  3.76s/it]
 46%|████▌     | 758/1662 [1:20:58<43:28,  2.89s/it]
Returning 64 rows!
Added 64 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS494
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS495
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS496
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS497
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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qiita_sample_name: ADDED!
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SA_NB_15H_293817_1.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 46%|████▌     | 759/1662 [1:21:08<1:11:52,  4.78s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 46%|████▌     | 760/1662 [1:21:11<1:07:14,  4.47s/it]
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Number of rows removed due to not enough metadata: 12
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4980
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4982
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Instrumental QC_RP MM_4_neg.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 682 rows!
Added 682 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4987/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
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ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 6
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4988
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4994
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5028
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 104 rows!
Added 104 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1842
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.2
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Number of rows removed due to not enough metadata: 0
Returning 66 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5065
Request successful!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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Number of rows removed due to not enough metadata: 0
Returning 591 rows!
Added 591 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5138
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5148
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS516
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS517
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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VT_140610_020.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 1716 rows!
Added 1716 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS518
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 773/1662 [1:23:05<4:09:43, 16.85s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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 47%|████▋     | 775/1662 [1:23:11<2:24:30,  9.77s/it]
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Number of rows removed due to not enough metadata: 0
Returning 1968 rows!
Added 1968 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS519
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS52
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS520
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Samples_Term Source REF.12
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IGNORED:  Assay_Ion source/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
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IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Source REF.11
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IGNORED:  Samples_Term Source REF.14
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Samples_Term Accession Number.10
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IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Soil humidity
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Fresh weight
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_LCMS date
IGNORED:  Assay_Column model
IGNORED:  Samples_Plant development stage
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Light conditions
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Number of rows removed due to not enough metadata: 51
Returning 216 rows!
Added 216 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS522
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5228
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion Lumos Tribrid: missing value
UBERONBodyPartName:
  : missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 778/1662 [1:23:45<2:52:47, 11.73s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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Number of rows removed due to not enough metadata: 0
Returning 1992 rows!
Added 1021 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5229
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
mtab_Pro7_HILIC_030620_143.mzML
FILES
mtab_Pro7_HILIC_030620_144.mzML
FILES
mtab_Pro7_HILIC_030620_145.mzML
FILES
mtab_Pro7_HILIC_030620_146.mzML
FILES
mtab_Pro7_HILIC_030620_148.mzML
FILES
mtab_Pro7_HILIC_030620_150.mzML
FILES
mtab_Pro7_HILIC_030620_151.mzML
FILES
mtab_Pro7_HILIC_030620_152.mzML
FILES
mtab_Pro7_HILIC_030620_153.mzML
FILES
mtab_Pro7_HILIC_030620_154.mzML
FILES
mtab_Pro7_HILIC_030620_155.mzML
FILES
mtab_Pro7_HILIC_030620_157.mzML
FILES
mtab_Pro7_HILIC_030620_159.mzML
FILES
mtab_Pro7_HILIC_030620_160.mzML
FILES
mtab_Pro7_HILIC_030620_161.mzML
FILES
mtab_Pro7_HILIC_030620_162.mzML
FILES
mtab_Pro7_HILIC_030620_70.mzML
FILES
mtab_Pro7_HILIC_030620_71.mzML
FILES
mtab_Pro7_HILIC_030620_72.mzML
FILES
mtab_Pro7_HILIC_030620_73.mzML
FILES
mtab_Pro7_HILIC_030620_75.mzML
FILES
mtab_Pro7_HILIC_030620_77.mzML
FILES
mtab_Pro7_HILIC_030620_78.mzML
FILES
mtab_Pro7_HILIC_030620_79.mzML
FILES
mtab_Pro7_HILIC_030620_80.mzML
FILES
mtab_Pro7_HILIC_030620_81.mzML
FILES
mtab_Pro7_HILIC_030620_82.mzML
FILES
mtab_Pro7_HILIC_030620_84.mzML
FILES
mtab_Pro7_HILIC_030620_86.mzML
FILES
mtab_Pro7_HILIC_030620_87.mzML
FILES
mtab_Pro7_HILIC_030620_88.mzML
FILES
mtab_Pro7_HILIC_030620_89.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS523/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 780/1662 [1:23:52<1:51:33,  7.59s/it]
 47%|████▋     | 781/1662 [1:23:53<1:22:33,  5.62s/it]
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive Plus: missing value
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
170602_LE170213_A1_2dil.raw
FILES
170602_LE170213_A2_2dil.raw
FILES
170602_LE170213_A3_2dil.raw
FILES
170602_LE170213_B1_2dil.raw
FILES
170602_LE170213_B2_2dil.raw
FILES
170602_LE170213_B3_2dil.raw
FILES
170613_A_MS2_1.raw
FILES
170613_A_MS2_2.raw
FILES
170613_A_MS2_3.raw
FILES
170613_A_MS2_4.raw
FILES
170613_A_MS2_5.raw
FILES
170613_B_MS2_1.raw
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FILES
170613_B_MS2_2.raw
FILES
170613_B_MS2_3.raw
FILES
170613_B_MS2_4.raw
FILES
170613_B_MS2_5.raw
FILES
170615_A_MS2_6.raw
FILES
170615_a_MS2_1pos_StCE.raw
FILES
170619_A_LE_neg1.raw
FILES
170619_A_LE_neg2.raw
FILES
170619_A_LE_pos1.raw
FILES
170619_A_NL_pos.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Pla2g1b
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IGNORED:  filepath
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS524
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS525
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2 QTof: missing value
FILES
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XS-2015_08_7_015_R2_20_TECHREP1_ESIN01.CDF
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XS-2015_08_7_017_R3_20_TECHREP1_ESIN01.CDF
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XS-2015_08_7_026_R4_30_TECHREP1_ESIN01.CDF
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XS-2015_08_7_027_R1_20_TECHREP1_ESIN01.CDF
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XS-2015_08_7_028_QC07_ESIN01.CDF
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XS-2015_08_7_029_R1_NC_TECHREP1_ESIN01.CDF
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XS-2015_08_7_031_R1_30_TECHREP1_ESIN01.CDF
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XS-2015_08_7_032_R2_30_TECHREP1_ESIN01.CDF
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XS-2015_08_7_063_R1_30_TECHREP2_ESIN01.CDF
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XS-2015_08_7_064_R4_NC_TECHREP2_ESIN01.CDF
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XS-2015_08_7_065_R1_20_TECHREP2_ESIN01.CDF
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XS-2015_08_7_066_R2_35_TECHREP2_ESIN01.CDF
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XS-2015_08_7_067_R3_30_TECHREP2_ESIN01.CDF
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XS-2015_08_7_068_QC11_ESIN01.CDF
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XS-2015_08_7_069_QC_DILUTION_1-2_ESIN01.CDF
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XS-2015_08_7_070_QC_DILUTION_1-4_ESIN01.CDF
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XS-2015_08_7_071_QC_DILUTION_1-8_ESIN01.CDF
FILES
XS_5-25_HILIC_15-104.CDF
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XS_5-25_HILIC_15-204.CDF
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XS_5-25_HILIC_15-304.CDF
FILES
XS_5-25_HILIC_15-404.CDF
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XS_5-25_HILIC_20-104.CDF
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XS_5-25_HILIC_20-204.CDF
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XS_5-25_HILIC_20-304.CDF
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XS_5-25_HILIC_20-404.CDF
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XS_5-25_HILIC_25-104.CDF
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XS_5-25_HILIC_25-204.CDF
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XS_5-25_HILIC_25-304.CDF
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XS_5-25_HILIC_25-404.CDF
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XS_5-25_HILIC_30-104.CDF
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XS_5-25_HILIC_30-204.CDF
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XS_5-25_HILIC_30-404.CDF
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XS_5-25_HILIC_35-104.CDF
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XS_5-25_HILIC_35-204.CDF
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XS_5-25_HILIC_35-304.CDF
FILES
XS_5-25_HILIC_35-404.CDF
FILES
XS_5-25_HILIC_NC-104.CDF
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XS_5-25_HILIC_NC-204.CDF
FILES
XS_5-25_HILIC_NC-304.CDF
FILES
XS_5-25_HILIC_NC-404.CDF
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XS_5-31_HILIC_bactobolin_MSMS.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 782/1662 [1:23:58<1:20:40,  5.50s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 783/1662 [1:24:03<1:16:22,  5.21s/it]
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Sample Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 87
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS526
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
Lemna_27_CON_1_1.CDF
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Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS527
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Q-Tof Premier: missing value
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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LI-fecal-B11_1.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 784/1662 [1:24:08<1:14:53,  5.12s/it]
FILES
LI-fecal-B12_1.cdf
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LI-fecal-B1_1.cdf
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LI-fecal-B3_1.cdf
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LI-fecal-C6_1.cdf
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LI-fecal-C7_1.cdf
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LI-fecal-C8_1.cdf
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LI-fecal-C9_1.cdf
IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 71 rows!
Added 71 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS528
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ XL linear ion trap: missing value
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FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Samples_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 47%|████▋     | 785/1662 [1:24:15<1:22:33,  5.65s/it]
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 216 rows!
Added 216 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5288
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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  Agilent 6470 Triple Quadrupole: missing value
  Agilent 5977B MSD: missing value
ChromatographyAndPhase:
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UBERONBodyPartName:
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FILES
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010__20201215__CLIN013__MB__dil.mzML
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20220711_PFBBr_rawdatafiles
067__20210212__CLIN019__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
068__20210211__CLIN018__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
068__20210212__CLIN019__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
068__20210428__CLIN023__MICU_275_01__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
069__20201210__CLIN010__MICU_118_02__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
069__20210211__CLIN018__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
069__20210212__CLIN019__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
070__20201210__CLIN010__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
070__20210211__CLIN018__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
070__20210212__CLIN019__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
070__20210818__Clin029__MICU_383_02__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
071__20210211__CLIN018__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
071__20210212__CLIN019__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
072__20201218__CLIN016__MICU_172_01__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
072__20210211__CLIN018__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
072__20210212__CLIN019__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
073__20201214__CLIN012__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
073__20201215__CLIN013__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
073__20201218__CLIN016__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
073__20210211__CLIN018__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
073__20210212__CLIN019__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
073__20210217__CLIN021__MICU_266_01__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
074__20201216__CLIN014__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
074__20210211__CLIN018__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
074__20210212__CLIN019__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
074__20210215__CLIN020__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20201209__CLIN009__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210211__CLIN018__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210212__CLIN019__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210218__CLIN022__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210428__CLIN023__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210818__Clin029__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210922__Clin030__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20210922__Clin030__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20211007__Clin034__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20211007__Clin034__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20211013__Clin036__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
075__20211013__Clin036__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
077__20210217__CLIN021__MICU_268_01__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
078__20201217__CLIN015__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
078__20210429__CLIN024__MB__dil.mzML
FILES
20220711_PFBBr_rawdatafiles
079__20201210__CLIN010__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
080__20201210__CLIN010__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
081__20201210__CLIN010__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
081__20210212__CLIN019__MICU_189_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
082__20201210__CLIN010__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
082__20201214__CLIN012__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
082__20201215__CLIN013__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
082__20201218__CLIN016__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
082__20210211__CLIN018__MICU_177_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
083__20201210__CLIN010__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
083__20201214__CLIN012__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
083__20201215__CLIN013__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
083__20201216__CLIN014__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
083__20201218__CLIN016__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
084__20201209__CLIN009__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
084__20201210__CLIN010__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
084__20201214__CLIN012__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
084__20201215__CLIN013__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
084__20201216__CLIN014__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
084__20201218__CLIN016__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20201209__CLIN009__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20201210__CLIN010__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20201214__CLIN012__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20201215__CLIN013__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20201216__CLIN014__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20201218__CLIN016__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
085__20210215__CLIN020__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20201209__CLIN009__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20201210__CLIN010__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20201214__CLIN012__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20201215__CLIN013__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20201216__CLIN014__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20201218__CLIN016__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20210212__CLIN019__MICU_205_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20210215__CLIN020__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20210218__CLIN022__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
086__20210428__CLIN023__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201209__CLIN009__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201210__CLIN010__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201214__CLIN012__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201215__CLIN013__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201216__CLIN014__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201217__CLIN015__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20201218__CLIN016__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20210215__CLIN020__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20210218__CLIN022__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
087__20210428__CLIN023__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201209__CLIN009__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201210__CLIN010__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201214__CLIN012__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201215__CLIN013__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201216__CLIN014__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201217__CLIN015__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20201218__CLIN016__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20210212__CLIN019__MICU_214_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20210215__CLIN020__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20210218__CLIN022__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
088__20210428__CLIN023__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201209__CLIN009__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201210__CLIN010__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201214__CLIN012__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201215__CLIN013__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201216__CLIN014__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201217__CLIN015__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20201218__CLIN016__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20210215__CLIN020__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20210218__CLIN022__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
089__20210428__CLIN023__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201209__CLIN009__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201210__CLIN010__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201214__CLIN012__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201215__CLIN013__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201216__CLIN014__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201217__CLIN015__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20201218__CLIN016__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20210215__CLIN020__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20210217__CLIN021__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20210218__CLIN022__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
090__20210428__CLIN023__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20201209__CLIN009__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20201214__CLIN012__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20201215__CLIN013__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20201216__CLIN014__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20201217__CLIN015__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20201218__CLIN016__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20210215__CLIN020__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20210217__CLIN021__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20210218__CLIN022__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20210428__CLIN023__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
091__20210429__CLIN024__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20201209__CLIN009__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20201214__CLIN012__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20201215__CLIN013__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20201216__CLIN014__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20201217__CLIN015__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20201218__CLIN016__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20210212__CLIN019__MICU_204_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20210215__CLIN020__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20210217__CLIN021__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20210218__CLIN022__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20210428__CLIN023__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
092__20210429__CLIN024__CC1__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20201209__CLIN009__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20201214__CLIN012__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20201215__CLIN013__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20201216__CLIN014__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20201217__CLIN015__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20201218__CLIN016__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20210212__CLIN019__MICU_199_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20210215__CLIN020__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20210217__CLIN021__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20210218__CLIN022__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20210428__CLIN023__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
093__20210429__CLIN024__CC2__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20201209__CLIN009__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20201216__CLIN014__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20201217__CLIN015__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20210215__CLIN020__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20210217__CLIN021__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20210218__CLIN022__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20210428__CLIN023__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
094__20210429__CLIN024__CC3__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20201209__CLIN009__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20201217__CLIN015__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20210212__CLIN019__MICU_211_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20210215__CLIN020__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20210217__CLIN021__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20210218__CLIN022__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20210428__CLIN023__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
095__20210429__CLIN024__CC4__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
096__20201217__CLIN015__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
096__20210215__CLIN020__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
096__20210217__CLIN021__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
096__20210218__CLIN022__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
096__20210428__CLIN023__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
096__20210429__CLIN024__CC5__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
097__20201217__CLIN015__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
097__20210211__CLIN018__MICU_184_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
097__20210217__CLIN021__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
097__20210218__CLIN022__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
097__20210428__CLIN023__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
097__20210429__CLIN024__CC6__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
098__20210217__CLIN021__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
098__20210429__CLIN024__CC7__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
099__20210217__CLIN021__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
099__20210429__CLIN024__CC8__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
100__20201218__CLIN016__MICU_148_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
100__20210217__CLIN021__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
100__20210429__CLIN024__CC9__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
101__20210217__CLIN021__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
101__20210429__CLIN024__CC10__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
102__20210429__CLIN024__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
106__20201216__CLIN014__MICU_062_04__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
107__20210212__CLIN019__MICU_202_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
109__20201216__CLIN014__MICU_074_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
111__20201215__CLIN013__MICU_032_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
111__20201216__CLIN014__MICU_076_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
112__20210211__CLIN018__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
112__20210212__CLIN019__MB__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
114__20201217__CLIN015__MICU_132_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
115__20201216__CLIN014__MICU_063_03__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
115__20201218__CLIN016__MICU_158_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
115__20210215__CLIN020__MICU_225_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
115__20210218__CLIN022__MICU_183_02__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
116__20201210__CLIN010__MICU_115_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
117__20201215__CLIN013__MICU_028_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
118__20210215__CLIN020__MICU_230_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
119__20201210__CLIN010__MICU_123_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
120__20201218__CLIN016__MICU_161_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
122__20201209__CLIN009__MICU_098_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
122__20201217__CLIN015__MICU_138_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
123__20201209__CLIN009__MICU_088_02__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
123__20201218__CLIN016__MICU_167_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
126__20210428__CLIN023__MICU_272_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
126__20210429__CLIN024__MICU_288_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
128__20201209__CLIN009__MICU_100_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
129__20201209__CLIN009__MICU_101_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
129__20201210__CLIN010__MICU_124_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
130__20201218__CLIN016__MICU_169_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
132__20201215__CLIN013__MICU_043_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
134__20210215__CLIN020__MICU_239_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
135__20201214__CLIN012__MICU_017_01__conc.mzML
FILES
20220711_PFBBr_rawdatafiles
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Hospital admission
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_BMI
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Charlson
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_APACHE
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Ethnicity
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 557
Returning 549 rows!
Added 549 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5289
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS529
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Linear Ion Trap: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES
20121115_RG_OL-107.RAW
FILES
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FILES
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20121228_RG_OL-103.RAW
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20121228_RG_OL-105.RAW
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20121228_RG_OL-106.RAW
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20121228_RG_OL-107.RAW
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20121228_RG_OL-108.RAW
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20121228_RG_OL-109.RAW
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20121228_RG_OL-110.RAW
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20121228_RG_OL-111.RAW
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20121228_RG_OL-112.RAW
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20130111_RG_OL-027.RAW
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20130111_RG_OL-028.RAW
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20130111_RG_OL-029.RAW
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20130111_RG_OL-031.RAW
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20130111_RG_OL-032.RAW
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20130111_RG_OL-037.RAW
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_MFFGC accession no.
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 47%|████▋     | 788/1662 [1:27:18<12:51:47, 52.98s/it]
 47%|████▋     | 789/1662 [1:27:19<9:04:24, 37.42s/it] /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 48%|████▊     | 790/1662 [1:27:23<6:37:07, 27.33s/it]
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Country of origin
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 4038 rows!
Added 4038 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS530
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS531
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
ABA_1.wiff
FILES
RAW_FILES
ABA_2.wiff
FILES
RAW_FILES
ABA_3.wiff
FILES
RAW_FILES
ABA_4.wiff
FILES
RAW_FILES
ABA_ethylene_1.wiff
FILES
RAW_FILES
ABA_ethylene_2.wiff
FILES
RAW_FILES
ABA_ethylene_3.wiff
FILES
RAW_FILES
ABA_ethylene_4.wiff
FILES
RAW_FILES
control_1.wiff
FILES
RAW_FILES
control_2.wiff
FILES
RAW_FILES
control_3.wiff
FILES
RAW_FILES
control_4.wiff
FILES
RAW_FILES
ethylene_1.wiff
FILES
RAW_FILES
ethylene_2.wiff
FILES
RAW_FILES
ethylene_3.wiff
FILES
RAW_FILES
ethylene_4.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Hormone treatment
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS532
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (negative): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SAMP_B10_002.CDF
FILES
SAMP_B10_015.CDF
FILES
SAMP_B10_027.CDF
FILES
SAMP_B10_035.CDF
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SAMP_B10_049.CDF
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SAMP_B1_028.CDF
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FILES
SAMP_B2_086.CDF
FILES
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FILES
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FILES
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FILES
SAMP_B3_009.CDF
FILES
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FILES
SAMP_B3_030.CDF
FILES
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FILES
SAMP_B3_050.CDF
FILES
SAMP_B3_051.CDF
FILES
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FILES
SAMP_B3_083.CDF
FILES
SAMP_B3_094.CDF
FILES
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FILES
SAMP_B3_112.CDF
FILES
SAMP_B4_010.CDF
FILES
SAMP_B4_019.CDF
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FILES
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FILES
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FILES
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FILES
SAMP_B5_026.CDF
FILES
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FILES
SAMP_B5_047.CDF
FILES
SAMP_B5_059.CDF
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SAMP_B5_061.CDF
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SAMP_B5_073.CDF
FILES
SAMP_B5_082.CDF
FILES
SAMP_B5_092.CDF
FILES
SAMP_B5_110.CDF
FILES
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FILES
SAMP_B6_008.CDF
FILES
SAMP_B6_020.CDF
FILES
SAMP_B6_025.CDF
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SAMP_B6_036.CDF
FILES
SAMP_B6_045.CDF
FILES
SAMP_B6_056.CDF
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SAMP_B6_065.CDF
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SAMP_B7_014.CDF
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FILES
SAMP_B7_037.CDF
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SAMP_B9_119.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 48%|████▊     | 791/1662 [1:27:28<5:00:25, 20.70s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 48%|████▊     | 792/1662 [1:27:32<3:48:39, 15.77s/it]
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Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5335
Request successful!
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Country: ADDED!
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Returning 110 rows!
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lipidomic
Ace_lipid_D-T0-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T0-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T10-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T18-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_D-T24-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_blank2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_blank2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_ext_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_ext_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_media_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s1_media_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_blank2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_blank2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_ext_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_ext_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_media_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s2_media_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_blank2+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_blank2-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_ext_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_ext_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_media_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Ace_lipid_s3_media_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T0-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T10-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T18-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_A-T24-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T0-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T10-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T18-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-1_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-1_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-1_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-1_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-1_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-1_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-2_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-2_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-2_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-2_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-2_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-2_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-3_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-3_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-3_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-3_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-3_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-3_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-4_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-4_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-4_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-4_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-4_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-4_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-5_1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-5_1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-5_2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-5_2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-5_3+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_D-T24-5_3-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_blank2+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_blank2-.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_ext_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
Glu_lipid_ext_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T0-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T0-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T0-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T0-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T0-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T0-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T21-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T21-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T21-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T21-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T21-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T21-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T4-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T4-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T4-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T4-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T4-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T4-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T8-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T8-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T8-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T8-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T8-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_A-T8-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T0-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T0-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T0-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T0-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T0-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T0-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T21-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T21-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T21-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T21-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T21-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T21-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T4-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T4-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T4-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T4-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T4-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T4-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T8-1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T8-1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T8-2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T8-2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T8-3+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_D-T8-3-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_blank1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_blank1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_blank2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_blank2-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_ext1+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_ext1-.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_ext2+.mzML
FILES
DERIVED_FILES
lipidomic
SMM_lipid_ext2-.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-1_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-1_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-1_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-2_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-2_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-2_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-3_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-3_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-3_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-4_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-4_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-4_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-5_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-5_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T0-5_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-1_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-1_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-1_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-2_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-2_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-2_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-3_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-3_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-3_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-4_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-4_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-4_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-5_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-5_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T10-5_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-1_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-1_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-1_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-2_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-2_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-2_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-3_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-3_2.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-3_3.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-4_1.mzML
FILES
DERIVED_FILES
metabolomic
Ace_metab_A-T18-4_2.mzML
FILES
DERIVED_FILES
metabolomic
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DERIVED_FILES
metabolomic
SMM_metab_ext4.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Growth medium
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Substrate
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 48%|████▊     | 793/1662 [1:27:51<4:00:49, 16.63s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 48%|████▊     | 794/1662 [1:27:56<3:11:39, 13.25s/it]IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 850 rows!
Added 850 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS535
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6520 Q-TOF: missing value
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
MB1.mzML
FILES
MB2.mzML
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MB3.mzML
FILES
MB4.mzML
FILES
MB5.mzML
FILES
MB6.mzML
FILES
MB7.mzML
FILES
MB8.mzML
FILES
MG1.mzML
FILES
MG2.mzML
FILES
MG3.mzML
FILES
MG4.mzML
FILES
MG5.mzML
FILES
MG6.mzML
FILES
MG7.mzML
FILES
MG8.mzML
FILES
Mb-1_569-18053.CDF
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Mb-2_569-18055.CDF
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Mb-3_569-18057.CDF
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Mb-4_569-18059.CDF
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Mb-8_569-18067.CDF
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Mg-1_569-18054.CDF
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Mg-2_569-18056.CDF
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Mg-3_569-18058.CDF
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Mg-4_569-18060.CDF
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Mg-5_569-18062.CDF
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Mg-6_569-18064.CDF
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Mg-7_569-18066.CDF
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Mg-8_569-18068.CDF
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 32
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS536
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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VT_161210_M260_101.cdf
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VT_161210_M260_103.cdf
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VT_161210_M260_105.cdf
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VT_161210_M260_107.cdf
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VT_161210_M260_109.cdf
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VT_161210_M260_111.cdf
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VT_161210_M260_113.cdf
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VT_161210_M260_115.cdf
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VT_161210_M260_117.cdf
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Assay_Term Source REF.7
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Term Accession Number.7
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 48%|████▊     | 795/1662 [1:28:01<2:34:39, 10.70s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 48%|████▊     | 796/1662 [1:28:07<2:12:15,  9.16s/it]
 48%|████▊     | 797/1662 [1:28:08<1:36:04,  6.66s/it]
 48%|████▊     | 798/1662 [1:28:09<1:13:58,  5.14s/it]
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS538
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
100H_1.CDF
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100S_1.CDF
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Samples_Stable isotope
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Samples_Term Source REF.5
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IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Guard column
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IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 108 rows!
Added 108 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS54
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS540
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1846
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ-S: missing value
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
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Y18E08_P062Y18E07_STA01_T004_BLANK_103.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 40
Returning 90 rows!
Added 90 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS541
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS542
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific High Field Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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VT_150921_014.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 2340 rows!
Added 2340 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS543
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS544
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS545
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS546
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS547
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS548
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS549
Request successful!
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Volunteer1_blood_58h_POS.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS552
Request successful!
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IGNORED:  Is Fluid/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 49%|████▊     | 809/1662 [1:29:25<1:23:40,  5.89s/it]
IGNORED:  Assay_Chromatography Instrument
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Number of rows removed due to not enough metadata: 0
Returning 634 rows!
Added 634 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS553
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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  Thermo Scientific TSQ Quantum Access MAX: missing value
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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Fig-2b_QqTOF-Bruker_Arabidopsis_Green-leaves_FLAG-lkrsdh-He-3.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Green-leaves_FLAG-lkrsdh-He-4.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Green-leaves_FLAG-lkrsdh-Ho-1.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Green-leaves_FLAG-lkrsdh-Ho-2.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Green-leaves_FLAG-lkrsdh-Ho-3.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Green-leaves_FLAG-lkrsdh-Ho-4.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-He-1.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-He-2.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-He-3.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-He-4.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-Ho-1.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-Ho-2.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-Ho-3.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_FLAG-lkrsdh-Ho-4.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_Ws-1.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_Ws-2.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_Ws-3.mzML
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Fig-2b_QqTOF-Bruker_Arabidopsis_Senescent-leaves_Ws-4.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_0.025ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_0.25ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_1000ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_100ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_2.5ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_25ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-aminoadipate_500ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_0.025ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_0.25ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_1000ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_100ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_2.5ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_25ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standard_acetyl-tryptophan_500ng.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_1000pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_100pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_10pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_2000pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_500pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_50pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_Standards_acetyl-phosphinothricin_5pmoles.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_0mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_10mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_15mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_1mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_2.5mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_20mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_5mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Aminoadipate_8mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_0uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_1000uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_100uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_10uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_150uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_20uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_300uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_500uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_50uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Phosphinothricin_70uM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_0mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_10mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_15mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_1mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_2.5mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_20mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_5mM.mzML
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Fig-3-Fig-S16_QQQ-Thermo_Invitro-assay_WT-BAR-Tryptophan_8mM.mzML
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Fig-3_QQQ-Thermo_Invitro-assay_No-enzyme-control-Aminoadipate_20mM.mzML
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Fig-3_QQQ-Thermo_Invitro-assay_No-enzyme-control-Tryptophan_20mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88A-3_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_E88Q-3_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_F36A-3_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_K78A-3_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35S-3_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_N35T-3_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-1_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-1_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-2_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-2_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-2_Tryptophan_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-3_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_PAT-3_Phosphinothricin_0.2mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_R80A-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_S133A-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_T90A-1_Aminoadipate_1mM.mzML
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Fig-4e_QQQ-Thermo_Invitro-assay_T90V-1_Aminoadipate_1mM.mzML
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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Number of rows removed due to not enough metadata: 83
Returning 506 rows!
Added 506 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS554
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 160 rows!
Added 160 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS555
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis 4G UHR-ToF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10_tt4_Roo491_rep1.mzXML
FILES
11_tt4_Ecoli_rep1.mzXML
FILES
12_tt4_Root9_rep1.mzXML
FILES
13_Glucose_MgCl2_rep2.mzXML
FILES
14_Glucose_Root491_rep2.mzXML
FILES
15_Glucose_Ecoli_rep2.mzXML
FILES
16_Glucose_Root9_rep2.mzXML
FILES
17_Col0_MgCl2_rep2.mzXML
FILES
18_Col0_Root491_rep2.mzXML
FILES
19_Col0_Ecoli_rep2.mzXML
FILES
1_Glucose_MgCl2_rep1.mzXML
FILES
20_Col0_Roo9_rep2.mzXML
FILES
21_tt4_MgCl2_rep2.mzXML
FILES
22_tt4_Root491_rep2.mzXML
FILES
23_tt4_Ecoli_rep2.mzXML
FILES
24_tt4_Root9_rep2.mzXML
FILES
25_Glucose_MgCl2_rep3.mzXML
FILES
26_Glucose_Root491_rep3.mzXML
FILES
27_Glucose_Ecoli_rep3.mzXML
FILES
28_Glucose_Root9_rep3.mzXML
FILES
29_Col0_MgCl2_rep3.mzXML
FILES
2_Glucose_Root491_rep1.mzXML
FILES
30_Col0_Root491_rep3.mzXML
FILES
31_Col0_Ecoli_rep3.mzXML
FILES
32_Col0_Root9_rep3.mzXML
FILES
33_tt4_MgCl2_rep3.mzXML
FILES
34_tt4_Root491_rep3.mzXML
FILES
35_tt4_Ecoli_rep3.mzXML
FILES
36_tt4_Root9_rep3.mzXML
FILES
3_Glucose_Ecoli_rep1.mzXML
FILES
4_Glucose_Root9_rep1.mzXML
FILES
5_Col0_MgCl2_rep1.mzXML
FILES
6_Col0_Root491_rep1.mzXML
FILES
7_Col0_Ecoli_rep1.mzXML
FILES
8_Col0_Root9_rep1.mzXML
FILES
9_tt4_MgCl2_rep1.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Plant genotype
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS28
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Q-Tof Premier: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20080809_NIH_EWY_POS_0008.mzML
FILES
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FILES
20080809_NIH_EWY_POS_0010.mzML
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20080809_NIH_EWY_POS_0012.mzML
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20080809_NIH_EWY_POS_0013.mzML
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20080809_NIH_EWY_POS_0014.mzML
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20080809_NIH_EWY_POS_0022.mzML
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20080809_NIH_EWY_POS_0024.mzML
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20080809_NIH_EWY_POS_0025.mzML
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20080809_NIH_EWY_POS_0027.mzML
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20080809_NIH_EWY_POS_0028.mzML
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20080809_NIH_EWY_POS_0029.mzML
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20080809_NIH_EWY_POS_0030.mzML
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20080809_NIH_EWY_POS_0031.mzML
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20080809_NIH_EWY_POS_0032.mzML
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20080809_NIH_EWY_POS_0035.mzML
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20080809_NIH_EWY_POS_0036.mzML
FILES
20080809_NIH_EWY_POS_0037.mzML
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20080809_NIH_EWY_POS_0038.mzML
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20080809_NIH_EWY_POS_0039.mzML
FILES
20080809_NIH_EWY_POS_0040.mzML
FILES
20080809_NIH_EWY_POS_0042.mzML
FILES
20080809_NIH_EWY_POS_0043.mzML
FILES
20080809_NIH_EWY_POS_0044.mzML
FILES
20080809_NIH_EWY_POS_0046.mzML
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20080809_NIH_EWY_POS_0047.mzML
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20080809_NIH_EWY_POS_0048.mzML
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20080809_NIH_EWY_POS_0049.mzML
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20080809_NIH_EWY_POS_0050.mzML
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20080809_NIH_EWY_POS_0051.mzML
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20080809_NIH_EWY_POS_0053.mzML
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20080809_NIH_EWY_POS_0054.mzML
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20080809_NIH_EWY_POS_0056.mzML
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20080809_NIH_EWY_POS_0057.mzML
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20080809_NIH_EWY_POS_0058.mzML
FILES
20080809_NIH_EWY_POS_0060.mzML
FILES
20080809_NIH_EWY_POS_0061.mzML
FILES
20080809_NIH_EWY_POS_0062.mzML
FILES
20080809_NIH_EWY_POS_0063.mzML
FILES
20080809_NIH_EWY_POS_0064.mzML
FILES
20080809_NIH_EWY_POS_0065.mzML
FILES
20080809_NIH_EWY_POS_0067.mzML
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20080809_NIH_EWY_POS_0068.mzML
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20080809_NIH_EWY_POS_0069.mzML
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20080809_NIH_EWY_POS_0070.mzML
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20080809_NIH_EWY_POS_0071.mzML
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20080809_NIH_EWY_POS_0072.mzML
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20080809_NIH_EWY_POS_0078.mzML
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20080809_NIH_EWY_POS_0079.mzML
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20080809_NIH_EWY_POS_0081.mzML
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20080809_NIH_EWY_POS_0084.mzML
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20080809_NIH_EWY_POS_0086.mzML
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20080809_NIH_EWY_POS_0091.mzML
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20080809_NIH_EWY_POS_0092.mzML
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20080809_NIH_EWY_POS_0093.mzML
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20080809_NIH_EWY_POS_0094.mzML
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20080809_NIH_EWY_POS_0096.mzML
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20080809_NIH_EWY_POS_0098.mzML
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20080809_NIH_EWY_POS_0099.mzML
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20080809_NIH_EWY_POS_0100.mzML
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20080809_NIH_EWY_POS_0108.mzML
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20080809_NIH_EWY_POS_0112.mzML
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20080809_NIH_EWY_POS_0113.mzML
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20080809_NIH_EWY_POS_0126.mzML
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20080809_NIH_EWY_POS_0128.mzML
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20080809_NIH_EWY_POS_0133.mzML
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20080809_NIH_EWY_POS_0263.mzML
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20080809_NIH_EWY_POS_0282.mzML
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20080809_NIH_EWY_POS_0283.mzML
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20080809_NIH_EWY_POS_0287.mzML
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20080809_NIH_EWY_POS_0288.mzML
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20080809_NIH_EWY_POS_0290.mzML
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20080809_NIH_EWY_POS_0292.mzML
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20080809_NIH_EWY_POS_0312.mzML
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20080809_NIH_EWY_POS_0313.mzML
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20080809_NIH_EWY_POS_0314.mzML
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20080809_NIH_EWY_POS_0315.mzML
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20080809_NIH_EWY_POS_0316.mzML
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20080809_NIH_EWY_POS_0317.mzML
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20080809_NIH_EWY_POS_0319.mzML
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20080809_NIH_EWY_POS_0320.mzML
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20080809_NIH_EWY_POS_0321.mzML
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20080809_NIH_EWY_POS_0323.mzML
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 49%|████▉     | 813/1662 [1:30:26<3:33:51, 15.11s/it]
IGNORED:  Samples_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 2010 rows!
Added 2010 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS558
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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Blank_12_POS.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 325 rows!
Added 325 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5583
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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P1806130229_CSHC18_POS.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Infection
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5585
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
NEG_Dl29YKY_B2_3kd1.raw
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 12
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS559
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS56
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS560
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS562
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS563
Request successful!
 49%|████▉     | 821/1662 [1:30:50<31:58,  2.28s/it]
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS564
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5657
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Site
IGNORED:  Samples_gender
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 510 rows!
Added 510 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS566
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Rhodiola_crown.mzML
FILES
Rhodiola_root.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 2 rows!
Added 2 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS567
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|████▉     | 825/1662 [1:31:07<53:18,  3.82s/it]
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
mtab_chisholm_tsq_ProccR1_100.raw
FILES
mtab_chisholm_tsq_ProccR1_101.raw
FILES
mtab_chisholm_tsq_ProccR1_103.raw
FILES
mtab_chisholm_tsq_ProccR1_104.raw
FILES
mtab_chisholm_tsq_ProccR1_105.raw
FILES
mtab_chisholm_tsq_ProccR1_106.raw
FILES
mtab_chisholm_tsq_ProccR1_109.raw
FILES
mtab_chisholm_tsq_ProccR1_110.raw
FILES
mtab_chisholm_tsq_ProccR1_111.raw
FILES
mtab_chisholm_tsq_ProccR1_113.raw
FILES
mtab_chisholm_tsq_ProccR1_114.raw
FILES
mtab_chisholm_tsq_ProccR1_115.raw
FILES
mtab_chisholm_tsq_ProccR1_116.raw
FILES
mtab_chisholm_tsq_ProccR1_119.raw
FILES
mtab_chisholm_tsq_ProccR1_120.raw
FILES
mtab_chisholm_tsq_ProccR1_121.raw
FILES
mtab_chisholm_tsq_ProccR1_122.raw
FILES
mtab_chisholm_tsq_ProccR1_124.raw
FILES
mtab_chisholm_tsq_ProccR1_125.raw
FILES
mtab_chisholm_tsq_ProccR1_126.raw
FILES
mtab_chisholm_tsq_ProccR1_127.raw
FILES
mtab_chisholm_tsq_ProccR1_130.raw
FILES
mtab_chisholm_tsq_ProccR1_131.raw
FILES
mtab_chisholm_tsq_ProccR1_132.raw
FILES
mtab_chisholm_tsq_ProccR1_134.raw
FILES
mtab_chisholm_tsq_ProccR1_135.raw
FILES
mtab_chisholm_tsq_ProccR1_136.raw
FILES
mtab_chisholm_tsq_ProccR1_137.raw
FILES
mtab_chisholm_tsq_ProccR1_50.raw
FILES
mtab_chisholm_tsq_ProccR1_52.raw
FILES
mtab_chisholm_tsq_ProccR1_53.raw
FILES
mtab_chisholm_tsq_ProccR1_54.raw
FILES
mtab_chisholm_tsq_ProccR1_55.raw
FILES
mtab_chisholm_tsq_ProccR1_56.raw
FILES
mtab_chisholm_tsq_ProccR1_58.raw
FILES
mtab_chisholm_tsq_ProccR1_60.raw
FILES
mtab_chisholm_tsq_ProccR1_61.raw
FILES
mtab_chisholm_tsq_ProccR1_62.raw
FILES
mtab_chisholm_tsq_ProccR1_64.raw
FILES
mtab_chisholm_tsq_ProccR1_65.raw
FILES
mtab_chisholm_tsq_ProccR1_66.raw
FILES
mtab_chisholm_tsq_ProccR1_67.raw
FILES
mtab_chisholm_tsq_ProccR1_73.raw
FILES
mtab_chisholm_tsq_ProccR1_75.raw
FILES
mtab_chisholm_tsq_ProccR1_76.raw
FILES
mtab_chisholm_tsq_ProccR1_77.raw
FILES
mtab_chisholm_tsq_ProccR1_78.raw
FILES
mtab_chisholm_tsq_ProccR1_79.raw
FILES
mtab_chisholm_tsq_ProccR1_81.raw
FILES
mtab_chisholm_tsq_ProccR1_83.raw
FILES
mtab_chisholm_tsq_ProccR1_84.raw
FILES
mtab_chisholm_tsq_ProccR1_85.raw
FILES
mtab_chisholm_tsq_ProccR1_86.raw
FILES
mtab_chisholm_tsq_ProccR1_87.raw
FILES
mtab_chisholm_tsq_ProccR1_88.raw
FILES
mtab_chisholm_tsq_ProccR1_89.raw
FILES
mtab_chisholm_tsq_ProccR1_90.raw
FILES
mtab_chisholm_tsq_ProccR1_95.raw
FILES
mtab_chisholm_tsq_ProccR1_98.raw
FILES
mtab_chisholm_tsq_ProccR1_99.raw
FILES
mtab_chisholm_tsq_Procc_PL1_44.raw
FILES
mtab_chisholm_tsq_Procc_PL1_46.raw
FILES
mtab_chisholm_tsq_Procc_PL1_47.raw
FILES
mtab_chisholm_tsq_Procc_PL1_49.raw
FILES
mtab_chisholm_tsq_Procc_PL1_55.raw
FILES
mtab_chisholm_tsq_Procc_PL1_57.raw
FILES
mtab_chisholm_tsq_Procc_PL1_58.raw
FILES
mtab_chisholm_tsq_Procc_PL1_60.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Light
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS570
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
2BLANKneg.mzXML
FILES
2BLANKpos.mzXML
FILES
2LPS_1neg.mzXML
FILES
2LPS_1pos.mzXML
FILES
2LPS_2neg.mzXML
FILES
2LPS_2pos.mzXML
FILES
2LPS_3neg.mzXML
FILES
2LPS_3pos.mzXML
FILES
2LPS_4neg.mzXML
FILES
2LPS_4pos.mzXML
FILES
2M0_1neg.mzXML
FILES
2M0_1pos.mzXML
FILES
2M0_2neg.mzXML
FILES
2M0_2pos.mzXML
FILES
2M0_3neg.mzXML
FILES
2M0_3pos.mzXML
FILES
2M0_4neg.mzXML
FILES
2M0_4pos.mzXML
FILES
2OIC_1neg.mzXML
FILES
2OIC_1pos.mzXML
FILES
2OIC_2neg.mzXML
FILES
2OIC_2pos.mzXML
FILES
2OIC_3neg.mzXML
FILES
2OIC_3pos.mzXML
FILES
2OIC_4neg.mzXML
FILES
2OIC_4pos.mzXML
FILES
2OIC_LPS_1neg.mzXML
FILES
2OIC_LPS_1pos.mzXML
FILES
2OIC_LPS_2neg.mzXML
FILES
2OIC_LPS_2pos.mzXML
FILES
2OIC_LPS_3neg.mzXML
FILES
2OIC_LPS_3pos.mzXML
FILES
2OIC_LPS_4neg.mzXML
FILES
2OIC_LPS_4pos.mzXML
FILES
2Std_1.raw
FILES
2Std_2.raw
FILES
2Std_3.raw
FILES
BLANKneg.mzXML
FILES
BLANKpos.mzXML
FILES
Frag_neg.raw
FILES
Frag_pos.raw
FILES
IFN_1neg.mzXML
FILES
IFN_1pos.mzXML
FILES
IFN_2neg.mzXML
FILES
IFN_2pos.mzXML
FILES
IFN_3neg.mzXML
FILES
IFN_3pos.mzXML
FILES
IFN_4neg.mzXML
FILES
IFN_4pos.mzXML
FILES
IFN_LPS_1pos.mzXML
FILES
IFN_LPS_2pos.mzXML
FILES
IFN_LPS_3pos.mzXML
FILES
IFN_LPS_4pos.mzXML
FILES
LPS_1neg.mzXML
FILES
LPS_1pos.mzXML
FILES
LPS_2neg.mzXML
FILES
LPS_2pos.mzXML
FILES
LPS_3neg.mzXML
FILES
LPS_3pos.mzXML
FILES
LPS_4neg.mzXML
FILES
LPS_4pos.mzXML
FILES
M0_1neg.mzXML
FILES
M0_1pos.mzXML
FILES
M0_2neg.mzXML
FILES
M0_2pos.mzXML
FILES
M0_3neg.mzXML
FILES
M0_3pos.mzXML
FILES
M0_4neg.mzXML
FILES
M0_4pos.mzXML
FILES
Std_1.raw
FILES
Std_2.raw
FILES
Std_3.raw
FILES
pool_10neg.mzXML
FILES
pool_10pos.mzXML
FILES
pool_11neg.mzXML
FILES
pool_11pos.mzXML
FILES
pool_7neg.mzXML
FILES
pool_7pos.mzXML
FILES
pool_8neg.mzXML
FILES
pool_8pos.mzXML
FILES
pool_9neg.mzXML
FILES
pool_9pos.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|████▉     | 826/1662 [1:31:14<1:04:46,  4.65s/it]
 50%|████▉     | 827/1662 [1:31:15<50:45,  3.65s/it]  
 50%|████▉     | 828/1662 [1:31:16<38:53,  2.80s/it]
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Inflammation
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Dataset
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 6
Returning 76 rows!
Added 76 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS571
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS572
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS574
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2 QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Inga_acreana_T28_1359.mzXML
FILES
Inga_acreana_T28_1360.mzXML
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Inga_acreana_T28_1361.mzXML
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Inga_acreana_T28_1366.mzXML
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Inga_acreana_T56_1195.mzXML
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Inga_acreana_T56_1221.mzXML
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Inga_acreana_T56_1362.mzXML
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Inga_alba_M29_1388.mzXML
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Inga_alba_N5_1293.mzXML
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Inga_alba_N5_1294.mzXML
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Inga_alba_N5_1296.mzXML
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Inga_alba_N5_1557.mzXML
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Inga_alba_N5_1573.mzXML
FILES
Inga_alba_T58_1042.mzXML
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Inga_alba_T58_1043.mzXML
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Inga_alba_T58_1044.mzXML
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Inga_alba_T58_1267.mzXML
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Inga_alba_T58_1483.mzXML
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Inga_auristallae_LA8_1443.mzXML
FILES
Inga_auristallae_LA8_1739.mzXML
FILES
Inga_auristallae_LA8_644.mzXML
FILES
Inga_auristallae_LA8_645.mzXML
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Inga_auristallae_LA8_646.mzXML
FILES
Inga_auristallae_M36_1559.mzXML
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Inga_auristallae_M36_1572.mzXML
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Inga_auristallae_M36_763.mzXML
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Inga_auristallae_N6_1298.mzXML
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Inga_auristallae_N6_1300.mzXML
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Inga_auristallae_N6_1301.mzXML
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Inga_auristallae_N6_1302.mzXML
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Inga_auristallae_T59_984.mzXML
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Inga_auristallae_T59_985.mzXML
FILES
Inga_auristallae_T59_986.mzXML
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Inga_auristallae_T59_991.mzXML
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Inga_auristallae_T59_992.mzXML
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Inga_cf_brachystachys_LA32_1535.mzXML
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Inga_cf_brachystachys_LA32_1548.mzXML
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Inga_cf_brachystachys_LA32_659.mzXML
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Inga_cf_brachystachys_LA32_660.mzXML
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Inga_cf_brachystachys_LA32_661.mzXML
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Inga_chartacea_T18_1453.mzXML
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Inga_chartacea_T18_1454.mzXML
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Inga_chartacea_T18_1497.mzXML
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Inga_chartacea_T18_1498.mzXML
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Inga_coruscans_LA59_1577.mzXML
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Inga_coruscans_LA59_1588.mzXML
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Inga_coruscans_LA59_1601.mzXML
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Inga_coruscans_LA59_1640.mzXML
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Inga_coruscans_LA59_1816.mzXML
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Inga_coruscans_LA59_1852.mzXML
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Inga_coruscans_LA59_1868.mzXML
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Inga_coruscans_LA59_615.mzXML
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Inga_coruscans_LA59_617.mzXML
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Inga_coruscans_LA59_618.mzXML
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Inga_laurina_LA60_1554.mzXML
FILES
Inga_laurina_LA60_1578.mzXML
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Inga_laurina_LA60_1613.mzXML
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Inga_laurina_LA60_1639.mzXML
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Inga_laurina_LA60_616.mzXML
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Inga_laurina_LA60_619.mzXML
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Inga_laurina_LA60_620.mzXML
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Inga_leiocalycina_T65_1016.mzXML
FILES
Inga_leiocalycina_T65_1017.mzXML
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Inga_leiocalycina_T65_1018.mzXML
FILES
Inga_leiocalycina_T65_1019.mzXML
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Inga_leiocalycina_T65_1020.mzXML
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Inga_leiocalycina_T65_1084.mzXML
FILES
Inga_leiocalycina_T86_1026.mzXML
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Inga_leiocalycina_T86_1027.mzXML
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Inga_leiocalycina_T86_1028.mzXML
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Inga_leiocalycina_T86_1029.mzXML
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Inga_leiocalycina_T86_1030.mzXML
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Inga_marginata_IngM_1562.mzXML
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Inga_marginata_IngM_1563.mzXML
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Inga_marginata_IngM_1606.mzXML
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Inga_marginata_IngM_1609.mzXML
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Inga_marginata_IngM_1616.mzXML
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Inga_marginata_LA43_1054.mzXML
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Inga_marginata_LA43_1456.mzXML
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Inga_marginata_LA43_1467.mzXML
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Inga_marginata_LA43_1468.mzXML
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Inga_marginata_LA43_1477.mzXML
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Inga_marginata_N31_1290.mzXML
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Inga_marginata_N31_1332.mzXML
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Inga_marginata_N31_1333.mzXML
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Inga_marginata_N31_1334.mzXML
FILES
Inga_marginata_N31_1345.mzXML
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Inga_marginata_N31_1471.mzXML
FILES
Inga_marginata_T19_1227.mzXML
FILES
Inga_marginata_T19_1491.mzXML
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Inga_marginata_T19_1496.mzXML
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Inga_marginata_T19_963.mzXML
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Inga_marginata_T19_964.mzXML
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Inga_marginata_T19_965.mzXML
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Inga_microcoma_T72_939.mzXML
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Inga_obidensis_M4_1686.mzXML
FILES
Inga_obidensis_M4_1689.mzXML
FILES
Inga_obidensis_M4_732.mzXML
FILES
Inga_obidensis_M4_734.mzXML
FILES
Inga_obidensis_N8_1249.mzXML
FILES
Inga_obidensis_N8_1541.mzXML
FILES
Inga_obidensis_N8_1542.mzXML
FILES
Inga_obidensis_N8_1670.mzXML
FILES
Inga_pezizifera_IngP_1569.mzXML
FILES
Inga_pezizifera_IngP_1570.mzXML
FILES
Inga_pezizifera_IngP_1603.mzXML
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Inga_pezizifera_IngP_1604.mzXML
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Inga_pezizifera_IngP_1610.mzXML
FILES
Inga_pezizifera_M40_1487.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 50%|████▉     | 829/1662 [1:31:33<1:39:43,  7.18s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|████▉     | 830/1662 [1:31:37<1:24:20,  6.08s/it]
 50%|█████     | 831/1662 [1:31:38<1:02:21,  4.50s/it]
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FILES
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FILES
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FILES
Inga_pezizifera_M40_1892.mzXML
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Inga_pezizifera_M40_1898.mzXML
FILES
Inga_pezizifera_M40_764.mzXML
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Inga_pezizifera_M40_765.mzXML
FILES
Inga_pezizifera_M40_766.mzXML
FILES
Inga_pezizifera_N4_1455.mzXML
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Inga_pezizifera_N4_1472.mzXML
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Inga_pezizifera_N4_1576.mzXML
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Inga_umbellifera_T05_1253.mzXML
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Inga_umbellifera_T05_1259.mzXML
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Inga_umbellifera_T05_1474.mzXML
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Inga_umbellifera_T05_1480.mzXML
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Inga_umbellifera_T05_1494.mzXML
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Inga_umbellifera_T50_1261.mzXML
FILES
Inga_umbellifera_T50_940.mzXML
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Inga_umbellifera_T50_969.mzXML
FILES
Inga_umbellifera_T50_970.mzXML
FILES
Inga_umbellifera_T50_971.mzXML
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Inga_umbellifera_T50_972.mzXML
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Inga_umbellifera_T73_933.mzXML
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FILES
Inga_umbellifera_T73_935.mzXML
FILES
Inga_umbellifera_T73_936.mzXML
FILES
Inga_umbellifera_T73_937.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_phenotype ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_site
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 185 rows!
Added 185 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS575
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
PB130_co1_RA2_01_1174.cdf
FILES
PB130_co1_RA2_01_1189.cdf
FILES
PB130_co2_RA3_01_1175.cdf
FILES
PB130_co2_RA3_01_1190.cdf
FILES
PB130_co3_RA4_01_1176.cdf
FILES
PB130_co3_RA4_01_1191.cdf
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PB130_os1_RA8_01_1181.cdf
FILES
PB130_os1_RA8_01_1196.cdf
FILES
PB130_os2_RB1_01_1182.cdf
FILES
PB130_os2_RB1_01_1197.cdf
FILES
PB130_os3_RB2_01_1183.cdf
FILES
PB130_os3_RB2_01_1198.cdf
FILES
PB130_sesamia1_RB3_01_1184.cdf
FILES
PB130_sesamia1_RB3_01_1199.cdf
FILES
PB130_sesamia2_RB4_01_1185.cdf
FILES
PB130_sesamia2_RB4_01_1200.cdf
FILES
PB130_sesamia3_RB5_01_1186.cdf
FILES
PB130_sesamia3_RB5_01_1201.cdf
FILES
PB130_wound1_RA5_01_1177.cdf
FILES
PB130_wound1_RA5_01_1192.cdf
FILES
PB130_wound2_RA6_01_1178.cdf
FILES
PB130_wound2_RA6_01_1193.cdf
FILES
PB130_wound3_RA7_01_1179.cdf
FILES
PB130_wound3_RA7_01_1194.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Infestation
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Biological Replicate
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS287
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS576
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS577
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20141225_cwh43_G753R_-N_24h_NEG.mzML
FILES
20141225_cwh43_G753R_-N_24h_POS.mzML
FILES
20141225_cwh43_G753R_LG_24h_NEG.mzML
FILES
20141225_cwh43_G753R_LG_24h_POS.mzML
FILES
20141225_cwh43_G753R_VE_NEG.mzML
FILES
20141225_cwh43_G753R_VE_POS.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|█████     | 833/1662 [1:31:42<48:34,  3.52s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|█████     | 834/1662 [1:31:46<49:29,  3.59s/it]
 50%|█████     | 835/1662 [1:31:47<37:59,  2.76s/it]
FILES
20141225_cwh43_WT_-N_24h_NEG.mzML
FILES
20141225_cwh43_WT_-N_24h_POS.mzML
FILES
20141225_cwh43_WT_LG_24h_NEG.mzML
FILES
20141225_cwh43_WT_LG_24h_POS.mzML
FILES
20141225_cwh43_WT_VE_NEG.mzML
FILES
20141225_cwh43_WT_VE_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_treatment
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_genotype
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS578
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20151104_1_cwh43(WT)_26C_neg.mzML
FILES
20151104_1_cwh43(WT)_26C_pos.mzML
FILES
20151104_2_cwh43(WT)_26C_neg.mzML
FILES
20151104_2_cwh43(WT)_26C_pos.mzML
FILES
20151104_5_cwh43(G753R)_26C_neg.mzML
FILES
20151104_5_cwh43(G753R)_26C_pos.mzML
FILES
20151104_6_cwh43(G753R)_26C_neg.mzML
FILES
20151104_6_cwh43(G753R)_26C_pos.mzML
FILES
20151105_3_cwh43(WT)_26C_neg.mzML
FILES
20151105_3_cwh43(WT)_26C_pos.mzML
FILES
20151105_4_cwh43(WT)_26C_neg.mzML
FILES
20151105_4_cwh43(WT)_26C_pos.mzML
FILES
20151105_7_cwh43(G753R)_26C_neg.mzML
FILES
20151105_7_cwh43(G753R)_26C_pos.mzML
FILES
20151105_8_cwh43(G753R)_26C_neg.mzML
FILES
20151105_8_cwh43(G753R)_26C_pos.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_genotype
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS188
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS579
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus 4D: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
01_GB_1.cdf
FILES
02_GB_1.cdf
FILES
03_GB_1.cdf
FILES
04_GB_1.cdf
FILES
05_GB_1.cdf
FILES
06_GB_1.cdf
FILES
07_GB_1.cdf
FILES
08_GB_1.cdf
FILES
09_GB_1.cdf
FILES
10_GB_1.cdf
FILES
11_GB_1.cdf
FILES
12_GB_1.cdf
FILES
13_GB_1.cdf
FILES
14_GB_1.cdf
FILES
15_GB_1.cdf
FILES
16_GB_1.cdf
FILES
17_GB_1.cdf
FILES
18_GB_1.cdf
FILES
19_GB_1.cdf
FILES
20_GB_1.cdf
FILES
21_GB_1.cdf
FILES
22_GB_1.cdf
FILES
23_GB_1.cdf
FILES
24_GB_1.cdf
FILES
25_GB_1.cdf
FILES
26_GB_1.cdf
FILES
27_GB_1.cdf
FILES
28_GB_1.cdf
FILES
29_GB_1.cdf
FILES
30_GB_1.cdf
FILES
31_GB_1.cdf
FILES
32_GB_1.cdf
FILES
33_GB_1.cdf
FILES
34_GB_1.cdf
FILES
35_GB_1.cdf
FILES
36_GB_1.cdf
FILES
37_GB_1.cdf
FILES
QC10_GB_1.cdf
FILES
QC11_GB_1.cdf
FILES
QC1_GB_1.cdf
FILES
QC2_GB_1.cdf
FILES
QC3_GB_1.cdf
FILES
QC4_GB_1.cdf
FILES
QC5_GB_1.cdf
FILES
QC6_GB_1.cdf
FILES
QC7_GB_1.cdf
FILES
QC8_GB_1.cdf
FILES
QC9_GB_1.cdf
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.23
IGNORED:  Samples_Term Source REF.31
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Samples_Term Source REF.12
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Source REF.30
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Previous jaundice
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Alanine transaminase
IGNORED:  Samples_Term Accession Number.17
IGNORED:  Samples_Term Source REF.17
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|█████     | 836/1662 [1:31:52<49:51,  3.62s/it]
 50%|█████     | 837/1662 [1:31:53<38:14,  2.78s/it]
IGNORED:  Samples_Term Accession Number.26
IGNORED:  Samples_Right upper quadrand tenderness
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Gallbladder tissue thickness
IGNORED:  Samples_Term Source REF.29
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Total cell count
IGNORED:  Samples_Unit.8
IGNORED:  Samples_Term Accession Number.27
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column type 2
IGNORED:  Samples_Unit.1
IGNORED:  Samples_Term Source REF.28
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Samples_Term Source REF.16
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Source REF.26
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.18
IGNORED:  Samples_Term Accession Number.31
IGNORED:  Samples_Unit.9
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Samples_Gall stones
IGNORED:  Samples_Term Source REF.20
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.22
IGNORED:  Samples_Term Accession Number.28
IGNORED:  Samples_Term Accession Number.24
IGNORED:  Samples_Term Source REF.19
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Samples_Term Accession Number.21
IGNORED:  Samples_Eosiniphils
IGNORED:  Samples_Term Source REF.7
IGNORED:  Samples_Aspartate transaminase
IGNORED:  Samples_Diabetes
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Treatment with inj. Cefazoline
IGNORED:  Samples_Monocytes
IGNORED:  Samples_Fever
IGNORED:  Samples_Term Accession Number.32
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Samples_Alkaline phosphatase
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.7
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Term Source REF.18
IGNORED:  Samples_Lymphocytes
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Accession Number.23
IGNORED:  Assay_Column type 1
IGNORED:  Samples_Neutrophils
IGNORED:  Samples_Term Accession Number.20
IGNORED:  Samples_Term Source REF.24
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.19
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.25
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Term Source REF.21
IGNORED:  Samples_Term Accession Number.30
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Previous history of typhoid
IGNORED:  Assay_Column model 2
IGNORED:  Samples_Term Accession Number.16
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Pancreatitis
IGNORED:  Samples_Fever 5 days on entry
IGNORED:  Assay_Column model 1
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Antibiotics 15 days
IGNORED:  Samples_Term Source REF.10
IGNORED:  Samples_Unit.6
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Previous acute cholecystitis
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Term Source REF.32
IGNORED:  Samples_Previous hospital due to cholecystitis
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Jaundice at admission
IGNORED:  Samples_Conjugated bilirubin
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Unit.5
IGNORED:  Samples_Term Accession Number.25
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Unit.4
IGNORED:  Samples_Term Source REF.27
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Total bilirubin
IGNORED:  Samples_Right upper quadrant pain
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Carriage status
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Analytical run order
IGNORED:  Samples_Amylase
IGNORED:  Samples_Term Accession Number.22
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.29
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS58
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS580
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-QP2010 Ultra: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10_Ev1.mzXML
FILES
11_Ev1.mzXML
FILES
13_Ev1.mzXML
FILES
14_Ev1.mzXML
FILES
15_Ev1.mzXML
FILES
16_Ev1.mzXML
FILES
17_Ev1.mzXML
FILES
18_Ev1.mzXML
FILES
19_Ev1.mzXML
FILES
1_Ev1.mzXML
FILES
21_Ev1.mzXML
FILES
22_Ev1.mzXML
FILES
23_Ev1.mzXML
FILES
24_Ev1.mzXML
FILES
25_Ev1.mzXML
FILES
26_Ev1.mzXML
FILES
27_Ev1.mzXML
FILES
28_Ev1.mzXML
FILES
29_Ev1.mzXML
FILES
30_Ev1.mzXML
FILES
5_Ev1.mzXML
FILES
6_Ev1.mzXML
FILES
7_Ev1.mzXML
FILES
9_Ev1.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_mycotoxins treatment
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 50%|█████     | 838/1662 [1:31:57<42:54,  3.12s/it]
 50%|█████     | 839/1662 [1:31:58<33:22,  2.43s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████     | 840/1662 [1:32:01<35:30,  2.59s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████     | 841/1662 [1:32:04<39:02,  2.85s/it]
 51%|█████     | 842/1662 [1:32:05<30:40,  2.25s/it]
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS581
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS582
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Palm_ZL_01_Neg.raw
FILES
Palm_ZL_01_Pos.raw
FILES
Palm_ZL_02_Neg.raw
FILES
Palm_ZL_02_Pos.raw
FILES
Palm_ZL_03_Neg.raw
FILES
Palm_ZL_03_Pos.raw
FILES
WT_ZL_01_Neg.raw
FILES
WT_ZL_01_Pos.raw
FILES
WT_ZL_02_Neg.raw
FILES
WT_ZL_02_Pos.raw
FILES
WT_ZL_03_Neg.raw
FILES
WT_ZL_03_Pos.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_treatment
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  Assay_Protocol REF.1
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_replicate
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS583
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CKR1.CDF
FILES
CKR2.CDF
FILES
CKR3.CDF
FILES
CKR4.CDF
FILES
CKR5.CDF
FILES
CKR6.CDF
FILES
CKS1.CDF
FILES
CKS2.CDF
FILES
CKS3.CDF
FILES
CKS4.CDF
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS586
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5861
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Shimadzu LCMS-9030: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
OAD-Pos
C3_run3.mzML
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DERIVED_FILES
Standard
OAD-Pos
C3_run4.mzML
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Standard
OAD-Pos
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DERIVED_FILES
Standard
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Standard
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DERIVED_FILES
Standard
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C4_run3.mzML
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Standard
OAD-Pos
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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FILES
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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Standard
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FILES
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Standard
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Standard
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Standard
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FILES
DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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Standard
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Standard
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FILES
DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
OAD-Pos
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DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
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DERIVED_FILES
Standard
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DERIVED_FILES
Standard
OAD-Pos
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DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixA_5u_run2.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_100n_run2_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_100n_run3_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_100n_run4_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_100n_run5_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10n_run1_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10n_run2_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10n_run3_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10n_run4_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10n_run5_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10u_run1_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10u_run2_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10u_run3_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10u_run4_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_10u_run5_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
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Standard
OAD-Pos
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Standard
OAD-Pos
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DERIVED_FILES
Standard
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_30u_run4_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_30u_run5_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
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DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
STDMixB_500n_run3_1214.mzML
FILES
DERIVED_FILES
Standard
OAD-Pos
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DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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Standard
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DERIVED_FILES
Standard
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FILES
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Standard
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Standard
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FILES
DERIVED_FILES
Standard
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FILES
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Standard
OAD-Pos
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FILES
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Standard
OAD-Pos
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FILES
DERIVED_FILES
Standard
OAD-Pos
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FILES
DERIVED_FILES
mouse Tissue
CID-Neg
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DERIVED_FILES
mouse Tissue
CID-Neg
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DERIVED_FILES
mouse Tissue
CID-Neg
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FILES
DERIVED_FILES
mouse Tissue
CID-Neg
Eye3_NegCID.mzML
FILES
DERIVED_FILES
mouse Tissue
CID-Neg
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FILES
DERIVED_FILES
mouse Tissue
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mouse Tissue
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FILES
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mouse Tissue
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FILES
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mouse Tissue
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FILES
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mouse Tissue
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mouse Tissue
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mouse Tissue
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mouse Tissue
CID-Neg
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mouse Tissue
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mouse Tissue
CID-Neg
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DERIVED_FILES
mouse Tissue
CID-Neg
Liver3_NegCID.mzML
FILES
DERIVED_FILES
mouse Tissue
CID-Neg
LiverBlank_NegCID.mzML
FILES
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mouse Tissue
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FILES
DERIVED_FILES
mouse Tissue
CID-Neg
Skin2_NegCID.mzML
FILES
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mouse Tissue
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mouse Tissue
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mouse Tissue
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mouse Tissue
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mouse Tissue
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mouse Tissue
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mouse Tissue
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DERIVED_FILES
mouse Tissue
OAD-Pos
LiverBlank_PosOAD.mzML
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DERIVED_FILES
mouse Tissue
OAD-Pos
Skin1_PosOAD.mzML
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DERIVED_FILES
mouse Tissue
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DERIVED_FILES
mouse Tissue
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DERIVED_FILES
mouse Tissue
OAD-Pos
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mouse Tissue
OAD-Pos
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DERIVED_FILES
mouse Tissue
OAD-Pos
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DERIVED_FILES
mouse Tissue
OAD-Pos
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FILES
DERIVED_FILES
mouse Tissue
OAD-Pos
TestisBlank_PosOAD.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Source REF.3
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IGNORED:  Assay_Column type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 51%|█████     | 843/1662 [1:32:15<1:00:54,  4.46s/it]
 51%|█████     | 844/1662 [1:32:16<46:44,  3.43s/it]  
 51%|█████     | 845/1662 [1:32:17<36:20,  2.67s/it]
 51%|█████     | 846/1662 [1:32:18<28:47,  2.12s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████     | 847/1662 [1:32:27<58:52,  4.33s/it]
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Number of rows removed due to not enough metadata: 127
Returning 130 rows!
Added 130 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS587
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Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS588
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS589
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS59
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SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
apple_control_neg_001.CDF
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Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS591
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Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS593
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS596
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SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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MSMS_PestCar16-52.mzXML
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PestCar16-02.cdf
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PestCar16-16.cdf
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PestCar16-32.cdf
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PestCar16-38.cdf
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PestCar16-42.cdf
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PestCar16-43.cdf
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PestCar16-46.cdf
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PestCar16-47.cdf
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PestCar16-50.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Source REF.6/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████     | 851/1662 [1:32:35<39:03,  2.89s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_sex
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS597
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  : missing value
  Thermo Scientific Orbitrap Elite: missing value
IonizationSourceAndPolarity:
   (negative): missing value
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CID_MSMS_409.raw
FILES
CID_MSMS_437.raw
FILES
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CID_MSMS_748.raw
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CID_MSMS_776.raw
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CID_MSMS_792.raw
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CID_MSMS_806.raw
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CID_MSMS_810.raw
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CID_MSMS_826.raw
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CID_MSMS_844.raw
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CID_MSMS_PC_Lipids.raw
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CID_MSMS_Validation_1.raw
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CID_MSMS_Validation_10.raw
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CID_MSMS_Validation_11.raw
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CID_MSMS_Validation_2.raw
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CID_MSMS_Validation_3.raw
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CID_MSMS_Validation_4.raw
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CID_MSMS_Validation_5.raw
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CID_MSMS_Validation_6.raw
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CID_MSMS_Validation_7.raw
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CID_MSMS_Validation_8.raw
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CID_MSMS_Validation_9.raw
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PA 160 181_standardMSMS.raw
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PC 160 181_standardMSMS.raw
FILES
PE 160 181_standardMSMS1.raw
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PG 160 181standardMSMS.raw
FILES
PI 160_160_standardMSMS.raw
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PS 160 181_standardMSMS.raw
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intestine_neg1.raw
FILES
intestine_neg2.raw
FILES
intestine_neg3.raw
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intestine_pos1.raw
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intestine_pos2.raw
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intestine_pos3.raw
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neg_1.raw
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neg_2.raw
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neg_3.raw
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pos_1.raw
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pos_2.raw
FILES
pos_3.raw
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Term Accession Number.17
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IGNORED:  Assay_Term Accession Number.9
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IGNORED:  Assay_Term Source REF.25
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IGNORED:  Assay_Term Source REF.39
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IGNORED:  Assay_Term Accession Number.33
IGNORED:  Assay_Term Source REF.22
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IGNORED:  Assay_Term Accession Number.28
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Term Accession Number.32
IGNORED:  Assay_Term Source REF.30
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Assay_Term Source REF.32
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Assay_Term Accession Number.44
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Term Source REF.27
IGNORED:  Assay_Term Source REF.40
IGNORED:  Assay_Term Accession Number.42
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.36
IGNORED:  Assay_Term Source REF.47
IGNORED:  Assay_MALDI matrix
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Spatial resolution
IGNORED:  Assay_Term Accession Number.29
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Species
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Metabolite database other
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IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Pixel size y
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IGNORED:  Assay_Term Source REF.24
IGNORED:  Assay_Inlet type
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IGNORED:  Assay_Term Source REF.41
IGNORED:  Assay_Alpha-tester
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Assay_Metabolite database
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Sample stabilisation
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Assay_Term Source REF.16
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 51%|█████▏    | 852/1662 [1:32:41<53:53,  3.99s/it]
IGNORED:  Assay_Target material
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IGNORED:  Samples_Term Source REF.1
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Number of rows removed due to not enough metadata: 6
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS598
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████▏    | 853/1662 [1:33:16<2:56:42, 13.11s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████▏    | 854/1662 [1:33:20<2:21:13, 10.49s/it]
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1551 rows!
Added 1551 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS599
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
13-desmethylspirolide-C-50.mzXML
FILES
AZA-1,2,3-50.mzXML
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AZA-10-50.mzXML
FILES
AZA-26-50.mzXML
FILES
AZA-33-50.mzXML
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FILES
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FILES
AZA-8-50.mzXML
FILES
AZA-9-50.mzXML
FILES
Gambierone-50.mzXML
FILES
MTX-3-50.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 14 rows!
Added 14 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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FILES
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FILES
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FILES
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FILES
APC_BSTFA3_3.CDF
FILES
APC_BSTFA4_1.CDF
FILES
APC_BSTFA4_2.CDF
FILES
APC_BSTFA4_3.CDF
FILES
APC_BSTFA5_1.CDF
FILES
APC_BSTFA5_2.CDF
FILES
APC_BSTFA5_3.CDF
FILES
APC_BSTFA6_1.CDF
FILES
APC_BSTFA6_2.CDF
FILES
APC_BSTFA6_3.CDF
FILES
gc01_0812_066.cdf
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Skewing
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Threshold
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Window
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 51%|█████▏    | 855/1662 [1:33:25<1:57:33,  8.74s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 856/1662 [1:33:28<1:36:47,  7.21s/it]IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Min Number Ions
IGNORED:  Samples_Spike in volume
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Retention Time Modulation
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Sample type_1
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Relative Intensity
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Gap Penalty
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 1
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS600
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6520 Q-TOF: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
MAM03.mzML
FILES
MAM04.mzML
FILES
MAM07.mzML
FILES
MAM08.mzML
FILES
MAM11.mzML
FILES
MAM12.mzML
FILES
MAM15.mzML
FILES
MAM16.mzML
FILES
MAM19.mzML
FILES
MIT03.mzML
FILES
MIT04.mzML
FILES
MIT07.mzML
FILES
MIT08.mzML
FILES
MIT11.mzML
FILES
MIT12.mzML
FILES
MIT15.mzML
FILES
MIT16.mzML
FILES
MIT19.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Genotype Mfn2
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Column type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS601
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QC01.mzXML
FILES
QC02.mzXML
FILES
QC03.mzXML
FILES
QC04.mzXML
FILES
liver24_1.mzXML
FILES
liver24_10.mzXML
FILES
liver24_2.mzXML
FILES
liver24_3.mzXML
FILES
liver24_4.mzXML
FILES
liver24_5.mzXML
FILES
liver24_6.mzXML
FILES
liver24_7.mzXML
FILES
liver24_8.mzXML
FILES
liver24_9.mzXML
FILES
liver78_1.mzXML
FILES
liver78_10.mzXML
FILES
liver78_2.mzXML
FILES
liver78_3.mzXML
FILES
liver78_4.mzXML
FILES
liver78_5.mzXML
FILES
liver78_6.mzXML
FILES
liver78_7.mzXML
FILES
liver78_8.mzXML
FILES
liver78_9.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Sample type_1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 857/1662 [1:33:32<1:21:20,  6.06s/it]
 52%|█████▏    | 858/1662 [1:33:33<1:01:07,  4.56s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 859/1662 [1:33:36<57:31,  4.30s/it]  
 52%|█████▏    | 860/1662 [1:33:38<45:04,  3.37s/it]
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS602
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6032
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
Cs2XF1.raw
FILES
RAW_FILES
NEG
Cs2XF2.raw
FILES
RAW_FILES
NEG
Cs2XF3.raw
FILES
RAW_FILES
NEG
Cs2XF4.raw
FILES
RAW_FILES
NEG
Cs2XF5.raw
FILES
RAW_FILES
NEG
Cs2XF6.raw
FILES
RAW_FILES
NEG
Cs2XF7.raw
FILES
RAW_FILES
NEG
Cs2XF8.raw
FILES
RAW_FILES
NEG
Cs4XF1.raw
FILES
RAW_FILES
NEG
Cs4XF2.raw
FILES
RAW_FILES
NEG
Cs4XF3.raw
FILES
RAW_FILES
NEG
Cs4XF4.raw
FILES
RAW_FILES
NEG
Cs4XF5.raw
FILES
RAW_FILES
NEG
Cs4XF6.raw
FILES
RAW_FILES
NEG
Cs4XF7.raw
FILES
RAW_FILES
NEG
Cs4XF8.raw
FILES
RAW_FILES
NEG
QC1.raw
FILES
RAW_FILES
NEG
QC2.raw
FILES
RAW_FILES
NEG
QC3.raw
FILES
RAW_FILES
NEG
QC4.raw
FILES
RAW_FILES
NEG
QC5.raw
FILES
RAW_FILES
NEG
QC6.raw
FILES
RAW_FILES
POS
Cs2XF1.raw
FILES
RAW_FILES
POS
Cs2XF2.raw
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RAW_FILES
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Cs2XF3.raw
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Cs2XF4.raw
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Cs2XF5.raw
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Cs2XF6.raw
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Cs2XF7.raw
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Cs2XF8.raw
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RAW_FILES
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Cs4XF1.raw
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Cs4XF2.raw
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Cs4XF3.raw
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Cs4XF4.raw
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Cs4XF5.raw
FILES
RAW_FILES
POS
Cs4XF6.raw
FILES
RAW_FILES
POS
Cs4XF7.raw
FILES
RAW_FILES
POS
Cs4XF8.raw
FILES
RAW_FILES
POS
QC1.raw
FILES
RAW_FILES
POS
QC2.raw
FILES
RAW_FILES
POS
QC3.raw
FILES
RAW_FILES
POS
QC4.raw
FILES
RAW_FILES
POS
QC5.raw
FILES
RAW_FILES
POS
QC6.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Ploidy
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS189
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3056
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
10 d_neg_B1.mzXML
FILES
DERIVED_FILES
10 d_neg_B10.mzXML
FILES
DERIVED_FILES
10 d_neg_B11.mzXML
FILES
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10 d_neg_B12.mzXML
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10 d_neg_B2.mzXML
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10 d_neg_B3.mzXML
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10 d_neg_B4.mzXML
FILES
DERIVED_FILES
10 d_neg_B5.mzXML
FILES
DERIVED_FILES
10 d_neg_B6.mzXML
FILES
DERIVED_FILES
10 d_neg_B7.mzXML
FILES
DERIVED_FILES
10 d_neg_B8.mzXML
FILES
DERIVED_FILES
10 d_neg_B9.mzXML
FILES
DERIVED_FILES
10 d_pos_B1.mzXML
FILES
DERIVED_FILES
10 d_pos_B10.mzXML
FILES
DERIVED_FILES
10 d_pos_B11.mzXML
FILES
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10 d_pos_B12.mzXML
FILES
DERIVED_FILES
10 d_pos_B2.mzXML
FILES
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10 d_pos_B3.mzXML
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10 d_pos_B4.mzXML
FILES
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10 d_pos_B5.mzXML
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10 d_pos_B6.mzXML
FILES
DERIVED_FILES
10 d_pos_B7.mzXML
FILES
DERIVED_FILES
10 d_pos_B8.mzXML
FILES
DERIVED_FILES
10 d_pos_B9.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 861/1662 [1:33:41<46:38,  3.49s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 862/1662 [1:33:46<52:04,  3.91s/it]
 52%|█████▏    | 863/1662 [1:33:47<40:25,  3.04s/it]
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS606
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1898
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3075
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 864/1662 [1:33:54<55:31,  4.17s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 865/1662 [1:33:58<55:57,  4.21s/it]
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 64 rows!
Added 64 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6073
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 120: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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NEG
NEG-HO1_1.mzXML
FILES
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NEG
NEG-HO2_1.mzXML
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POS-NO6_1.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Column type
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IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 33 rows!
Added 33 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3107
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2-Si HDMS: missing value
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FILES
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200523-Sample6-Pos02.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 84 rows!
Added 84 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3109
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 867/1662 [1:34:10<1:08:15,  5.15s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 868/1662 [1:34:14<1:02:53,  4.75s/it]
IGNORED:  Samples_Sample Name
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Number of rows removed due to not enough metadata: 0
Returning 259 rows!
Added 259 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3111
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6230 Accurate-Mass TOF: missing value
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Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3112
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 869/1662 [1:34:24<1:24:48,  6.42s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 870/1662 [1:34:28<1:14:13,  5.62s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 52%|█████▏    | 871/1662 [1:34:33<1:10:45,  5.37s/it]
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 13
Returning 71 rows!
Added 71 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6075
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 4500: missing value
  Bruker timsTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
DS1-1.mzML
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DS1-2.mzML
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DS1-3.mzML
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DS1-4.mzML
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DS2-1.mzML
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DS2-2.mzML
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DS2-3.mzML
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DS2-4.mzML
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DS2-5.mzML
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DS3-1.mzML
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DS3-10.mzML
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DS3-11.mzML
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DS3-12.mzML
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DS3-5.mzML
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DS3-6.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Column type
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Derivatization
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Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6076
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
16.mzML
FILES
DERIVED_FILES
17.mzML
FILES
DERIVED_FILES
18.mzML
FILES
DERIVED_FILES
19.mzML
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DERIVED_FILES
20.mzML
FILES
DERIVED_FILES
21.mzML
FILES
DERIVED_FILES
22.mzML
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DERIVED_FILES
23.mzML
FILES
DERIVED_FILES
Blank_1.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
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IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Derivatization
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Number of rows removed due to not enough metadata: 0
Returning 9 rows!
Added 9 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3146
Request successful!
Added 0 samples.
 52%|█████▏    | 872/1662 [1:34:33<52:39,  4.00s/it]  
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS608
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 5975C MSD: missing value
  Agilent 6460 Triple Quadrupole: missing value
IonizationSourceAndPolarity:
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ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
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FILES
DERIVED_FILES
IMCD_CP1_e.mzML
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IMCD_CP2_e.mzML
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IMCD_CP3_e.mzML
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IMCD_NT_2.CDF
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IMCD_NT_2_e.mzML
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IMCD_NT_3.CDF
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IMCD_NT_3_e.mzML
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Kidney_1.CDF
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Kidney_2.CDF
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MEF_CP_1.CDF
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M_IMCD_CP1_e.mzML
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M_IMCD_CP2_e.mzML
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M_IMCD_CP3_e.mzML
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M_IMCD_CP_1.CDF
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DERIVED_FILES
M_IMCD_CP_2.CDF
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M_IMCD_CP_3.CDF
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M_IMCD_NT_1.CDF
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M_IMCD_NT_1_e.mzML
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DERIVED_FILES
M_IMCD_NT_2.CDF
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DERIVED_FILES
M_IMCD_NT_2_e.mzML
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DERIVED_FILES
M_IMCD_NT_3.CDF
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DERIVED_FILES
M_IMCD_NT_3_e.mzML
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M_iREC_NT_3.CDF
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M_iREC_NT_3_e.mzML
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Pool_1_e.mzML
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Pool_2_e.mzML
FILES
DERIVED_FILES
Pool_3_e.mzML
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Pool_CP_1.CDF
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Pool_CP_2.CDF
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Pool_diff_1.CDF
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Pool_diff_2.CDF
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Pool_diff_3.CDF
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a_IMCD_CP1.mzML
FILES
DERIVED_FILES
a_IMCD_CP2.mzML
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DERIVED_FILES
a_IMCD_CP3.mzML
FILES
DERIVED_FILES
a_IMCD_NT_1.mzML
FILES
DERIVED_FILES
a_IMCD_NT_2.mzML
FILES
DERIVED_FILES
a_IMCD_NT_3.mzML
FILES
DERIVED_FILES
a_MEF_CP1.mzML
FILES
DERIVED_FILES
a_MEF_CP2.mzML
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DERIVED_FILES
a_MEF_CP3.mzML
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a_MEF_NT_1.mzML
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DERIVED_FILES
a_MEF_NT_3.mzML
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a_Pool_2.mzML
FILES
DERIVED_FILES
a_Pool_3.mzML
FILES
DERIVED_FILES
a_blank1.mzML
FILES
DERIVED_FILES
a_blank2.mzML
FILES
DERIVED_FILES
a_blank3.mzML
FILES
DERIVED_FILES
a_iREC_CP1.mzML
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DERIVED_FILES
a_iREC_CP2.mzML
FILES
DERIVED_FILES
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a_iREC_NT_1.mzML
FILES
DERIVED_FILES
a_iREC_NT_2.mzML
FILES
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a_iREC_NT_3.mzML
FILES
DERIVED_FILES
blank1_e.mzML
FILES
DERIVED_FILES
blank2_e.mzML
FILES
DERIVED_FILES
blank3_e.mzML
FILES
DERIVED_FILES
blank_1.CDF
FILES
DERIVED_FILES
blank_2.CDF
FILES
DERIVED_FILES
blank_3.CDF
FILES
DERIVED_FILES
iREC_CP1_e.mzML
FILES
DERIVED_FILES
iREC_CP2_e.mzML
FILES
DERIVED_FILES
iREC_CP3_e.mzML
FILES
DERIVED_FILES
iREC_CP_1.CDF
FILES
DERIVED_FILES
iREC_CP_2.CDF
FILES
DERIVED_FILES
iREC_CP_3.CDF
FILES
DERIVED_FILES
iREC_NT_1.CDF
FILES
DERIVED_FILES
iREC_NT_1_e.mzML
FILES
DERIVED_FILES
iREC_NT_2.CDF
FILES
DERIVED_FILES
iREC_NT_2_e.mzML
FILES
DERIVED_FILES
iREC_NT_3.CDF
FILES
DERIVED_FILES
iREC_NT_3_e.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 53%|█████▎    | 873/1662 [1:34:41<1:07:29,  5.13s/it]
 53%|█████▎    | 874/1662 [1:34:42<50:53,  3.88s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 53%|█████▎    | 875/1662 [1:34:46<49:04,  3.74s/it]
 53%|█████▎    | 876/1662 [1:34:46<37:49,  2.89s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 53%|█████▎    | 877/1662 [1:34:51<45:25,  3.47s/it]
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Instrumentation
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Metabolome
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 156 rows!
Added 156 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3154
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS32
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 4000: missing value
FILES
100609fluexpSET1.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3233
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3251
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Derived_data
Positive
1C.mzXML
FILES
Derived_data
Positive
1S.mzXML
FILES
Derived_data
Positive
2C.mzXML
FILES
Derived_data
Positive
2S.mzXML
FILES
Derived_data
Positive
3C.mzXML
FILES
Derived_data
Positive
3S.mzXML
FILES
Derived_data
Positive
4C.mzXML
FILES
Derived_data
Positive
4S.mzXML
FILES
Derived_data
Positive
5S.mzXML
FILES
Derived_data
Positive
6C.mzXML
FILES
Derived_data
Positive
6S.mzXML
FILES
Derived_data
Positive
7C.mzXML
FILES
Derived_data
Positive
7S.mzXML
FILES
Derived_data
Positive
8C.mzXML
FILES
Derived_data
Positive
8S.mzXML
FILES
Derived_data
Positive
matrix_blank1.mzXML
FILES
Derived_data
Positive
matrix_blank2.mzXML
FILES
Derived_data
Positive
matrix_blank3.mzXML
FILES
Derived_data
Positive
matrix_blank4.mzXML
FILES
Derived_data
Positive
matrix_blank5.mzXML
FILES
Derived_data
Positive
matrix_blank6.mzXML
FILES
Derived_data
Positive
pooled_07.mzXML
FILES
Derived_data
Positive
pooled_08.mzXML
FILES
Derived_data
Positive
pooled_09.mzXML
FILES
Derived_data
Positive
pooled_10.mzXML
FILES
Derived_data
Positive
pooled_11.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Label
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Derived Spectral Data File.1
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_RU treatment
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 26 rows!
Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS33
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 4000: missing value
FILES
022310fluexpSET1.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 53%|█████▎    | 878/1662 [1:34:54<43:53,  3.36s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 53%|█████▎    | 879/1662 [1:34:58<46:14,  3.54s/it]
 53%|█████▎    | 880/1662 [1:34:59<35:29,  2.72s/it]
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS612
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
W03.01.mzXML
FILES
W03.02.mzXML
FILES
W03.03.mzXML
FILES
W03.04.mzXML
FILES
W03.05.mzXML
FILES
W03.06.mzXML
FILES
W03.07.mzXML
FILES
W03.08.mzXML
FILES
W03.09.mzXML
FILES
W03.10.mzXML
FILES
W30.01.mzXML
FILES
W30.02.mzXML
FILES
W30.03.mzXML
FILES
W30.04.mzXML
FILES
W30.05.mzXML
FILES
W30.06.mzXML
FILES
W30.07.mzXML
FILES
W30.08.mzXML
FILES
W30.09.mzXML
FILES
W30.10.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS613
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3315
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_03.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_04.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_05.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_06.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_07.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_08.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_10.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_11.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_12.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_13.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_14.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_15.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_16.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_17.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_19.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_20.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_21.mzML
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Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_22.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_23.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_24.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_25.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_27.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_28.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_29.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_30.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN1_32.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_03.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_04.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_05.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_06.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_07.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_08.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_10.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_11.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_12.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_13.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_14.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_15.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_17.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_18.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_19.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_20.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_21.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_23.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_24.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_25.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_26.mzML
FILES
Method 1
QXA07POSEAR20200626_KARO0220VW_HUMAN_SKIN2_28.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_03.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_04.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_05.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_06.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_07.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_08.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_10.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_11.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_12.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_13.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_14.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_15.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_16.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_17.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_19.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_20.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_21.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_22.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_23.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_24.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_25.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_27.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_28.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_29.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_30.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN1_32.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_03.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_04.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_05.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_06.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_07.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_08.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_10.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_11.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_12.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_13.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_14.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_15.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_17.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_18.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_19.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_20.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_21.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_23.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_24.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_25.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_26.mzML
FILES
Method 2
QXA07POSLAT20200626_KARO0220VW_HUMAN_SKIN2_28.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_03.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_04.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_05.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_06.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_07.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_08.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_10.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_11.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_12.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_13.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_14.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_15.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_16.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_17.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_19.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_20.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_21.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_22.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_23.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_24.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_25.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_27.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_28.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_29.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_30.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN1_32.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_03.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_04.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_05.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_06.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_07.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_08.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_10.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_11.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_12.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_13.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_14.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_15.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_17.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_18.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_19.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_20.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_21.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_23.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_24.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_25.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_26.mzML
FILES
Method 3
QXA05NEG20200626_KARO0220VW_HUMAN_SKIN2_28.mzML
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
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IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Wound stage
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Is Organ
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IGNORED:  base
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IGNORED:  Assay_Derivatization
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IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Samples_Time after injury
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3316
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA10POSLAT20190522_DFCI0119VW_MOUSE_SERUM_03.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 53%|█████▎    | 882/1662 [1:35:17<1:16:54,  5.92s/it]
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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
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IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Organism part
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IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS193
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Origin
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 25/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 53%|█████▎    | 883/1662 [1:35:30<1:42:14,  7.88s/it]
 53%|█████▎    | 884/1662 [1:35:31<1:14:40,  5.76s/it]
Returning 286 rows!
Added 286 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3332
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3345
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Method 2 23436
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FILES
23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_17.mzML
FILES
23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_18.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_19.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_21.mzML
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23436 SSID Data MZML
Method 2 23436
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23436 SSID Data MZML
Method 2 23436
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FILES
23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_24.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_25.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_26.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_27.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_29.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_30.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_31.mzML
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23436 SSID Data MZML
Method 2 23436
QXA10POSLAT20210707_UNMO0220VW_MOUSE_SERUM1_32.mzML
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23436 SSID Data MZML
Method 2 23436
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23436 SSID Data MZML
Method 2 23436
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23436 SSID Data MZML
Method 2 23436
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23436 SSID Data MZML
Method 2 23436
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23436 SSID Data MZML
Method 2 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 3 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23436 SSID Data MZML
Method 4 23436
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 1 23437
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23437 SSID Data MZML
Method 2 23437
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Method 2 23437
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Method 2 23437
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Method 2 23437
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Method 2 23437
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Method 2 23437
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Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 2 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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23437 SSID Data MZML
Method 3 23437
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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
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IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
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IGNORED:  Assay_Term Source REF.20
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IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
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IGNORED:  Assay_Protocol REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 53%|█████▎    | 885/1662 [1:35:42<1:35:39,  7.39s/it]
 53%|█████▎    | 886/1662 [1:35:43<1:10:38,  5.46s/it]
IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 236 rows!
Added 236 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS194
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3388
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP NEG
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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RP POS
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csf
RP POS
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RP POS
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csf
RP POS
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csf
RP POS
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RP POS
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RP POS
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RP POS
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csf
RP POS
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RP POS
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RP POS
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FILES
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csf
RP POS
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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RP Neg
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serum
RP Neg
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FILES
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serum
RP Neg
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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serum
RP Neg
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serum
RP Neg
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RP Neg
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FILES
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serum
RP Neg
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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serum
RP Neg
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serum
RP Neg
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serum
RP Neg
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serum
RP Neg
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_24.raw
FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_25.raw
FILES
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RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_26.raw
FILES
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serum
RP Neg
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FILES
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RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_28.raw
FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_29.raw
FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_31.raw
FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_32.raw
FILES
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serum
RP Neg
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FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_34.raw
FILES
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serum
RP Neg
raghurao_sand0449_20181005_17059_rp_NEG_Sample_35.raw
FILES
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serum
RP Neg
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FILES
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serum
RP Neg
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FILES
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RP Neg
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FILES
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RP Neg
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FILES
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RP Neg
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FILES
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RP Neg
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FILES
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RP Neg
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RP Neg
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FILES
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RP Neg
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FILES
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RP Neg
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FILES
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serum
RP Neg
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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RP Pos
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RP Pos
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FILES
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serum
RP Pos
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
raghurao_sand0449_20181003_17059_rp_POS_Sample_1.raw
FILES
RAW_FILES
serum
RP Pos
raghurao_sand0449_20181003_17059_rp_POS_Sample_10.raw
FILES
RAW_FILES
serum
RP Pos
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FILES
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serum
RP Pos
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FILES
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serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
raghurao_sand0449_20181003_17059_rp_POS_Sample_15.raw
FILES
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serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
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FILES
RAW_FILES
serum
RP Pos
raghurao_sand0449_20181003_17059_rp_POS_Sample_21.raw
FILES
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IGNORED:  extension
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Data Transformation Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 53%|█████▎    | 887/1662 [1:35:53<1:29:16,  6.91s/it]
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Accession Number.7
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
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IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Assay_Term Source REF.9
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IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 0
Returning 264 rows!
Added 264 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3415
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 3
Returning 212 rows!
Added 212 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3450
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
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NU1932_3.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Date
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Samples_LC Method
IGNORED:  Samples_Location
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 1859 rows!
Added 1859 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS614
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Elite: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 54%|█████▎    | 892/1662 [1:36:49<1:39:38,  7.76s/it]
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3485
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3487
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 0
Returning 74 rows!
Added 74 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS615
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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FILES
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IGNORED:  Samples_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 54%|█████▎    | 893/1662 [1:36:52<1:22:41,  6.45s/it]
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS353
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
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QXA01PDNEG20190118_UDTD0118MDSS7000000133_GRAPE_LEAVES1_28.mzML
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QXA03PDPOL20190124_UDTD0118MDSS7000000133LEAVES_GRAPE_LEAF1_11.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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QXA03PDPOL20190124_UDTD0118MDSS7000000133LEAVES_GRAPE_LEAF1_30.mzML
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Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3533
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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Number of rows removed due to not enough metadata: 0
Returning 3 rows!
Added 3 samples./app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 54%|█████▍    | 895/1662 [1:37:02<1:10:53,  5.55s/it]
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3540
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Samples_Term Source REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 152 rows!
Added 152 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3558
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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LC-MS/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 54
Returning 127 rows!
Added 127 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS616
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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Returning 118 rows!
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Request successful!
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Country: ADDED!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 168 rows!
Added 168 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS618
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1960
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Discovery: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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Number of rows removed due to not enough metadata: 0
Returning 319 rows!
Added 319 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3637
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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HFX3_CP2_FZTM191633666-1A.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS619
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3672
Request successful!
SampleCollectionMethod: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS62
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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20130430_VP+ve_019.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_MFFGC accession no.
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Country of origin
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 4067 rows!
Added 4067 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS37
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus 4D: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.7
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Column model 2
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IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
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IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Column type 1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS620
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1978
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3725
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
ChromatographyAndPhase:
   (C18): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS198
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
JALI002_DietC_V1.mzXML
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JALI242_DietA_V4.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Time
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 508 rows!
Added 508 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3750
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
IP1-Sample005negtive.mzML
FILES
DERIVED_FILES
NEG
IP10-Sample015negtive.mzML
FILES
DERIVED_FILES
NEG
IP11-Sample016negtive.mzML
FILES
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NEG
IP12-Sample017negtive.mzML
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NEG
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FILES
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NEG
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FILES
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FILES
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FILES
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IP18-Sample025negtive.mzML
FILES
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NEG
IP19-Sample027negtive.mzML
FILES
DERIVED_FILES
NEG
IP2-Sample006negtive.mzML
FILES
DERIVED_FILES
NEG
IP20-Sample028negtive.mzML
FILES
DERIVED_FILES
NEG
IP21-Sample029negtive.mzML
FILES
DERIVED_FILES
NEG
IP22-Sample030negtive.mzML
FILES
DERIVED_FILES
NEG
IP23-Sample031negtive.mzML
FILES
DERIVED_FILES
NEG
IP24-Sample032negtive.mzML
FILES
DERIVED_FILES
NEG
IP25-Sample035negtive.mzML
FILES
DERIVED_FILES
NEG
IP26-Sample036negtive.mzML
FILES
DERIVED_FILES
NEG
IP27-Sample037negtive.mzML
FILES
DERIVED_FILES
NEG
IP28-Sample038negtive.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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IP29-Sample039negtive.mzML
FILES
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NEG
IP3-Sample007negtive.mzML
FILES
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NEG
IP30-Sample040negtive.mzML
FILES
DERIVED_FILES
NEG
IP4-Sample008negtive.mzML
FILES
DERIVED_FILES
NEG
IP5-Sample009negtive.mzML
FILES
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NEG
IP6-Sample010negtive.mzML
FILES
DERIVED_FILES
NEG
IP7-Sample012negtive.mzML
FILES
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NEG
IP8-Sample013negtive.mzML
FILES
DERIVED_FILES
NEG
IP9-Sample014negtive.mzML
FILES
DERIVED_FILES
NEG
QC1-Sample002negtive.mzML
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DERIVED_FILES
NEG
QC2-Sample003negtive.mzML
FILES
DERIVED_FILES
NEG
QC3-Sample018negtive.mzML
FILES
DERIVED_FILES
NEG
QC4-Sample033negtive.mzML
FILES
DERIVED_FILES
NEG
QC5-Sample048negtive.mzML
FILES
DERIVED_FILES
NEG
QC6-Sample056negtive.mzML
FILES
DERIVED_FILES
NEG
QC7-Sample057negtive.mzML
FILES
DERIVED_FILES
POS
IP1-Sample062positive.mzML
FILES
DERIVED_FILES
POS
IP10-Sample072positive.mzML
FILES
DERIVED_FILES
POS
IP11-Sample073positive.mzML
FILES
DERIVED_FILES
POS
IP12-Sample074positive.mzML
FILES
DERIVED_FILES
POS
IP13-Sample077positive.mzML
FILES
DERIVED_FILES
POS
IP14-Sample078positive.mzML
FILES
DERIVED_FILES
POS
IP15-Sample079positive.mzML
FILES
DERIVED_FILES
POS
IP16-Sample080positive.mzML
FILES
DERIVED_FILES
POS
IP17-Sample081positive.mzML
FILES
DERIVED_FILES
POS
IP18-Sample082positive.mzML
FILES
DERIVED_FILES
POS
IP19-Sample084positive.mzML
FILES
DERIVED_FILES
POS
IP2-Sample063positive.mzML
FILES
DERIVED_FILES
POS
IP20-Sample085positive.mzML
FILES
DERIVED_FILES
POS
IP21-Sample086positive.mzML
FILES
DERIVED_FILES
POS
IP22-Sample087positive.mzML
FILES
DERIVED_FILES
POS
IP23-Sample088positive.mzML
FILES
DERIVED_FILES
POS
IP24-Sample089positive.mzML
FILES
DERIVED_FILES
POS
IP25-Sample092positive.mzML
FILES
DERIVED_FILES
POS
IP26-Sample093positive.mzML
FILES
DERIVED_FILES
POS
IP27-Sample094positive.mzML
FILES
DERIVED_FILES
POS
IP28-Sample095positive.mzML
FILES
DERIVED_FILES
POS
IP29-Sample096positive.mzML
FILES
DERIVED_FILES
POS
IP3-Sample064positive.mzML
FILES
DERIVED_FILES
POS
IP30-Sample097positive.mzML
FILES
DERIVED_FILES
POS
IP4-Sample065positive.mzML
FILES
DERIVED_FILES
POS
IP5-Sample066positive.mzML
FILES
DERIVED_FILES
POS
IP6-Sample067positive.mzML
FILES
DERIVED_FILES
POS
IP7-Sample069positive.mzML
FILES
DERIVED_FILES
POS
IP8-Sample070positive.mzML
FILES
DERIVED_FILES
POS
IP9-Sample071positive.mzML
FILES
DERIVED_FILES
POS
QC1-Sample059positive.mzML
FILES
DERIVED_FILES
POS
QC2-Sample060positive.mzML
FILES
DERIVED_FILES
POS
QC3-Sample075positive.mzML
FILES
DERIVED_FILES
POS
QC4-Sample090positive.mzML
FILES
DERIVED_FILES
POS
QC5-Sample105positive.mzML
FILES
DERIVED_FILES
POS
QC6-Sample113positive.mzML
FILES
DERIVED_FILES
POS
QC7-Sample114positive.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 74 rows!
Added 74 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS622
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1980
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 5975 MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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PBQC5.mzXML
FILES
DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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PBQC5_S.mzXML
FILES
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PBQC6.mzXML
FILES
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PBQC6_S.mzXML
FILES
DERIVED_FILES
PBQC7.mzXML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 33
Returning 88 rows!
Added 88 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3786
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_03.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_04.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_05.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_06.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_07.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_08.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_10.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_11.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_12.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_13.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_14.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_15.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_17.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_18.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_19.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_20.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_21.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_23.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_24.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_25.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_26.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN1_28.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN2_03.mzML
FILES
Method 1
QXA07POSEAR20160629_UNMI0216VW_MOUSE_BRAIN2_04.mzML
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IGNORED:  Assay_Spectrum representation
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IGNORED:  Is Fluid
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IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 172 rows!
Added 172 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS382
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3838
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Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3839
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3840
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
B1-1.mzML
FILES
DERIVED_FILES
B1-2.mzML
FILES
DERIVED_FILES
B2-1.mzML
FILES
DERIVED_FILES
B2-2.mzML
FILES
DERIVED_FILES
B3-1.mzML
FILES
DERIVED_FILES
B3-2.mzML
FILES
DERIVED_FILES
B4-1.mzML
FILES
DERIVED_FILES
B4-2.mzML
FILES
DERIVED_FILES
B5-1.mzML
FILES
DERIVED_FILES
B5-2.mzML
FILES
DERIVED_FILES
G1-1.mzML
FILES
DERIVED_FILES
G1-2.mzML
FILES
DERIVED_FILES
G2-1.mzML
FILES
DERIVED_FILES
G2-2.mzML
FILES
DERIVED_FILES
G3-1.mzML
FILES
DERIVED_FILES
G3-2.mzML
FILES
DERIVED_FILES
G4-1.mzML
FILES
DERIVED_FILES
G4-2.mzML
FILES
DERIVED_FILES
G5-1.mzML
FILES
DERIVED_FILES
G5-2.mzML
FILES
DERIVED_FILES
G6-1.mzML
FILES
DERIVED_FILES
G6-2.mzML
FILES
DERIVED_FILES
H1-1.mzML
FILES
DERIVED_FILES
H1-2.mzML
FILES
DERIVED_FILES
H2-1.mzML
FILES
DERIVED_FILES
H2-2.mzML
FILES
DERIVED_FILES
H3-1.mzML
FILES
DERIVED_FILES
H3-2.mzML
FILES
DERIVED_FILES
H4-1.mzML
FILES
DERIVED_FILES
H4-2.mzML
FILES
DERIVED_FILES
H5-1.mzML
FILES
DERIVED_FILES
H5-2.mzML
FILES
DERIVED_FILES
mixstandard-1.mzML
FILES
DERIVED_FILES
mixstandard-2.mzML
FILES
DERIVED_FILES
mixstandard-3.mzML
FILES
DERIVED_FILES
mixstandard-4.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Technical Replicate
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Biological Replicate
IGNORED:  Samples_Fruit Wine
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS20
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 55%|█████▌    | 919/1662 [1:41:42<1:13:03,  5.90s/it]
 55%|█████▌    | 920/1662 [1:41:43<54:37,  4.42s/it]  
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Discovery: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
1003_L-Norleucine_POS.mzML
FILES
1007_2,2-Dimethylglutaric_acid_NEG.mzML
FILES
1008_3,3-Dimethylglutaric_acid_NEG.mzML
FILES
1010_3-Methyladipic_acid_NEG.mzML
FILES
1014_1,7-Dimethyluric_acid_NEG.mzML
FILES
1014_1,7-Dimethyluric_acid_POS.mzML
FILES
1022_alpha-Hydroxyhippuric_acid_NEG.mzML
FILES
1024_1,3-Dimethyluric_acid_NEG.mzML
FILES
1024_1,3-Dimethyluric_acid_POS.mzML
FILES
1031_3-Hydroxyphenyl_acetate_NEG.mzML
FILES
1044_N2-Methylguanosine_NEG.mzML
FILES
1044_N2-Methylguanosine_POS.mzML
FILES
1050_L-Threo-3-Phenylserine__FIA_POS.mzML
FILES
1052_Cinnamoylglycine_FIA_NEG.RAW
FILES
1052_Cinnamoylglycine_FIA_POS.mzML
FILES
1056_Decanoylcarnitine_FIA_POS.mzML
FILES
1057_N4-Acetylcytidine_FIA_NEG.mzML
FILES
1057_N4-Acetylcytidine_FIA_POS.mzML
FILES
1091_3-Methoxysalicylic_acid_FIA_NEG.mzML
FILES
1109_Gly-Pro_FIA_POS.mzML
FILES
1110_Stachydrine_FIA_POS.mzML
FILES
1111_N-ISOVALEROYLGLYCINE__FIA_POS.mzML
FILES
1118_Octanoylcarnitine_FIA_POS.mzML
FILES
1121_N-Acetyl-L-carnosine_FIA_NEG.mzML
FILES
1121_N-Acetyl-L-carnosine_FIA_POS.mzML
FILES
1122_a_Phenylacetyl-L-glutamine_FIA_NEG.mzML
FILES
1122_a_Phenylacetyl-L-glutamine_FIA_POS.mzML
FILES
1131_trans-3-Hydroxy_cotinine_FIA_POS.mzML
FILES
1134_-Butyryl_carnitine__FIA_POS.mzML
FILES
1136_N-Tiglylglycine_FIA_NEG.mzML
FILES
1136_N-Tiglylglycine_FIA_POS.mzML
FILES
1137_3-Methylcrotonyl_glycine_FIA_NEG.mzML
FILES
1137_3-Methylcrotonyl_glycine_FIA_POS.mzML
FILES
1141_Hexanoyl_glycine_FIA_NEG.mzML
FILES
1141_Hexanoyl_glycine_FIA_POS.mzML
FILES
391_3-Hydroxy-4-methoxycinnamic_acid_NEG.mzML
FILES
422_a-Ketoglutaric_acid_NEG.mzML
FILES
439033-1_NEG.mzML
FILES
439033-1_POS.mzML
FILES
439033-2_NEG.mzML
FILES
439033-2_POS.mzML
FILES
439033-3_NEG.mzML
FILES
439033-3_POS.mzML
FILES
439033-4_NEG.mzML
FILES
439033-4_POS.mzML
FILES
439033-5_NEG.mzML
FILES
439033-5_POS.mzML
FILES
439033-6_NEG.mzML
FILES
439033-6_POS.mzML
FILES
673_2-Hydroxyphenylacetic_acid_NEG.mzML
FILES
737_p-Anisic_acid_NEG.mzML
FILES
884_Caffeine_POS.mzML
FILES
973_Acetaminophen_glucuronide_NEG.mzML
FILES
996_Pimelic_acid_NEG.mzML
FILES
997_Creatinine_POS.mzML
FILES
Blanc01_neg.mzML
FILES
Blanc01_pos.mzML
FILES
Blanc07_neg.mzML
FILES
Blanc29_pos.mzML
FILES
Blanc_NEG_2.mzML
FILES
Blanc_NEG_9.mzML
FILES
Blanc_POS_1.mzML
FILES
Blanc_POS_7.mzML
FILES
HU_neg_011.mzML
FILES
HU_neg_024.mzML
FILES
HU_neg_025.mzML
FILES
HU_neg_026.mzML
FILES
HU_neg_029.mzML
FILES
HU_neg_030.mzML
FILES
HU_neg_031.mzML
FILES
HU_neg_033.mzML
FILES
HU_neg_035.mzML
FILES
HU_neg_036.mzML
FILES
HU_neg_038.mzML
FILES
HU_neg_039.mzML
FILES
HU_neg_040.mzML
FILES
HU_neg_042.mzML
FILES
HU_neg_045.mzML
FILES
HU_neg_046.mzML
FILES
HU_neg_053.mzML
FILES
HU_neg_081.mzML
FILES
HU_neg_106.mzML
FILES
HU_neg_114.mzML
FILES
HU_neg_117.mzML
FILES
HU_neg_135.mzML
FILES
HU_neg_145.mzML
FILES
HU_neg_162.mzML
FILES
HU_neg_195.mzML
FILES
HU_neg_222.mzML
FILES
HU_pos_001.mzML
FILES
HU_pos_007.mzML
FILES
HU_pos_013.mzML
FILES
HU_pos_022.mzML
FILES
HU_pos_040.mzML
FILES
HU_pos_050.mzML
FILES
HU_pos_060.mzML
FILES
HU_pos_081.mzML
FILES
HU_pos_086.mzML
FILES
HU_pos_116.mzML
FILES
HU_pos_124.mzML
FILES
HU_pos_140.mzML
FILES
HU_pos_145.mzML
FILES
HU_pos_162.mzML
FILES
HU_pos_183.mzML
FILES
HU_pos_188_090524115209.mzML
FILES
HU_pos_189.mzML
FILES
HU_pos_189_090524121159.mzML
FILES
HU_pos_192_090524131131.mzML
FILES
HU_pos_193_090524133124.mzML
FILES
HU_pos_204_090524190940.mzML
FILES
HU_pos_205_090524192931.mzML
FILES
HU_pos_213.mzML
FILES
HU_pos_214.mzML
FILES
N117_Hippuric_acid_fia_neg.mzML
FILES
N117_Hippuric_acid_fia_pos.mzML
FILES
N12_Fumaric_acid_fia_neg.mzML
FILES
N14_Citric_acid_fia_neg.mzML
FILES
N14_Citric_acid_fia_pos.mzML
FILES
N164_Phenyllactic_acid_fia_neg.mzML
FILES
N169_Tryptamine_fia_pos.mzML
FILES
N183_dUMP_fia_neg.mzML
FILES
N224-Methylimidazolacetic acid-pos.mzML
FILES
N229_4-Hydroxymandelic_acid_neg.mzML
FILES
N229_p-Hydroxymandelic_acid_fiaMSn_pos.mzML
FILES
N230_p-Hydroxyphenylacetic_acid_fiaMSn_neg.mzML
FILES
N239_5-Hydroxyindoleacetic_acid_neg.mzML
FILES
N239_5-Hydroxyindoleacetic_acid_pos.mzML
FILES
N23_Lysine_fia_pos.mzML
FILES
N24_Glutamine_fia_neg.mzML
FILES
N24_Glutamine_fia_pos.mzML
FILES
N265_Kynurenic_acid_fiaMSn_neg.mzML
FILES
N265_Kynurenic_acid_pos.mzML
FILES
N275_Xanthosine_fiaMSn_pos.mzML
FILES
N27_L-Phenylalanine_fia_neg.mzML
FILES
N27_L-Phenylalanine_fia_pos.mzML
FILES
N315_mono-Methyl-adipate_neg.mzML
FILES
N315_mono-Methyl-adipate_pos.mzML
FILES
N34_Leucine_fia_neg.mzML
FILES
N34_Leucine_fia_pos-2.mzML
FILES
N388_3-4-Dihydroxyphenylacetic_acid_neg.mzML
FILES
N58_Pantothenic_acid_fia_neg-2.mzML
FILES
N58_Pantothenic_acid_fia_pos.mzML
FILES
N73_ascorbic_acid_fia_neg_2.mzML
FILES
N83_spermidine_fia_pos.mzML
FILES
N86_Acetyl-L-carnitin_fia_pos.mzML
FILES
N92_Carnitine_fia_pos.mzML
FILES
QC1_005_pos.mzML
FILES
QC1_011_neg.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Material sample
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 76
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3860
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS200
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters GCT Premier: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 55%|█████▌    | 921/1662 [1:41:48<57:11,  4.63s/it]ENVOEnvironmentMaterial:
  nan: missing value
FILES
OMAIR_012811_01.CDF
FILES
OMAIR_012811_02.CDF
FILES
OMAIR_012811_03.CDF
FILES
OMAIR_012811_04.CDF
FILES
OMAIR_012811_05_DIL5.CDF
FILES
OMAIR_012811_06.CDF
FILES
OMAIR_012811_07.CDF
FILES
OMAIR_012811_08.CDF
FILES
OMAIR_012811_09.CDF
FILES
OMAIR_012811_10.CDF
FILES
OMAIR_012811_11.CDF
FILES
OMAIR_012811_12.CDF
FILES
OMAIR_012811_13.CDF
FILES
OMAIR_012811_14.CDF
FILES
OMAIR_012811_15.CDF
FILES
OMAIR_012811_16.CDF
FILES
OMAIR_012811_17.CDF
FILES
OMAIR_012811_18.CDF
FILES
OMAIR_012811_19.CDF
FILES
OMAIR_012811_20.CDF
FILES
OMAIR_012811_21.CDF
FILES
OMAIR_012811_22.CDF
FILES
OMAIR_012811_23.CDF
FILES
OMAIR_012811_24.CDF
FILES
OMAIR_012811_25.CDF
FILES
OMAIR_012811_26.CDF
FILES
OMAIR_012811_27.CDF
FILES
OMAIR_012811_28.CDF
FILES
OMAIR_012811_29.CDF
FILES
OMAIR_012811_30.CDF
FILES
OMAIR_102010_DIL_01.CDF
FILES
OMAIR_102010_DIL_02.CDF
FILES
OMAIR_102010_DIL_03.CDF
FILES
OMAIR_102010_DIL_04.CDF
FILES
OMAIR_102010_DIL_05.CDF
FILES
OMAIR_102010_DIL_06.CDF
FILES
OMAIR_102010_DIL_07.CDF
FILES
OMAIR_102010_DIL_08.CDF
FILES
OMAIR_102010_DIL_09.CDF
FILES
OMAIR_102010_DIL_10.CDF
FILES
OMAIR_102010_DIL_11.CDF
FILES
OMAIR_102010_DIL_12.CDF
FILES
OMAIR_102010_DIL_13.CDF
FILES
OMAIR_102010_DIL_14.CDF
FILES
OMAIR_102010_DIL_15.CDF
FILES
OMAIR_102010_DIL_16.CDF
FILES
OMAIR_102010_DIL_17.CDF
FILES
OMAIR_102010_DIL_18.CDF
FILES
OMAIR_102010_DIL_19.CDF
FILES
OMAIR_102010_DIL_20.CDF
FILES
OMAIR_102010_DIL_21.CDF
FILES
OMAIR_102010_DIL_22.CDF
FILES
OMAIR_102010_DIL_23.CDF
FILES
OMAIR_102010_DIL_24.CDF
FILES
OMAIR_102010_DIL_25.CDF
FILES
OMAIR_102010_DIL_26.CDF
FILES
OMAIR_102010_DIL_27.CDF
FILES
OMAIR_102010_DIL_28.CDF
FILES
OMAIR_102010_DIL_29.CDF
FILES
OMAIR_102010_DIL_30.CDF
FILES
OMAIR_102010_DIL_31.CDF
FILES
OMAIR_102010_DIL_32.CDF
FILES
OMAIR_102010_DIL_33.CDF
FILES
OMAIR_102010_DIL_34.CDF
FILES
OMAIR_102010_DIL_35.CDF
FILES
OMAIR_102010_DIL_36.CDF
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Dis-free survival
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Samples_Staging
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Dis. Prog
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Samples_Overall survival
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_CA Type
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Outcome
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 66 rows!
Added 66 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3886
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
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IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 55%|█████▌    | 922/1662 [1:41:52<57:28,  4.66s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 923/1662 [1:42:00<1:06:48,  5.42s/it]
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 46 rows!
Added 46 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3887
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Quantum Ultra: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
Glucose 1 to Glucose t1259.raw
FILES
RAW_FILES
Glucose 1 to Glucose t1315.raw
FILES
RAW_FILES
Glucose 1 to Glucose t1344.raw
FILES
RAW_FILES
Glucose 1 to Malate t1016.raw
FILES
RAW_FILES
Glucose 1 to Malate t1063.raw
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RAW_FILES
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RAW_FILES
Glucose 2 to Glucose t1311.raw
FILES
RAW_FILES
Glucose 2 to Glucose t1339.raw
FILES
RAW_FILES
Glucose 2 to Glucose t1374.raw
FILES
RAW_FILES
Glucose 2 to Malate t1019.raw
FILES
RAW_FILES
Glucose 2 to Malate t1066.raw
FILES
RAW_FILES
Glucose 3 to Glucose t1271.raw
FILES
RAW_FILES
Glucose 3 to Glucose t1306.raw
FILES
RAW_FILES
Glucose 3 to Glucose t1334.raw
FILES
RAW_FILES
Malate 1 to Glucose t1021.raw
FILES
RAW_FILES
Malate 1 to Glucose t1048.raw
FILES
RAW_FILES
Malate 1 to Glucose t1077.raw
FILES
RAW_FILES
Malate 1 to Glucose t1108.raw
FILES
RAW_FILES
Malate 1 to Glucose t1141.raw
FILES
RAW_FILES
Malate 1 to Glucose t1161.raw
FILES
RAW_FILES
Malate 1 to Glucose t1190.raw
FILES
RAW_FILES
Malate 1 to Glucose t1210.raw
FILES
RAW_FILES
Malate 1 to Glucose t1252.raw
FILES
RAW_FILES
Malate 1 to Glucose t1278.raw
FILES
RAW_FILES
Malate 1 to Glucose t1329.raw
FILES
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Malate 1 to Glucose t1378.raw
FILES
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Malate 1 to Glucose t1408.raw
FILES
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Malate 1 to Glucose t1450.raw
FILES
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Malate 1 to Glucose t1470.raw
FILES
RAW_FILES
Malate 1 to Glucose t730.raw
FILES
RAW_FILES
Malate 1 to Glucose t748.raw
FILES
RAW_FILES
Malate 1 to Glucose t795.raw
FILES
RAW_FILES
Malate 1 to Glucose t826.raw
FILES
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Malate 1 to Glucose t847.raw
FILES
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Malate 1 to Glucose t890.raw
FILES
RAW_FILES
Malate 1 to Glucose t932.raw
FILES
RAW_FILES
Malate 1 to Glucose t967.raw
FILES
RAW_FILES
Malate 2 to Glucose t1023.raw
FILES
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Malate 2 to Glucose t1050.raw
FILES
RAW_FILES
Malate 2 to Glucose t1079.raw
FILES
RAW_FILES
Malate 2 to Glucose t1110.raw
FILES
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Malate 2 to Glucose t1145.raw
FILES
RAW_FILES
Malate 2 to Glucose t1193.raw
FILES
RAW_FILES
Malate 2 to Glucose t1213.raw
FILES
RAW_FILES
Malate 2 to Glucose t1255.raw
FILES
RAW_FILES
Malate 2 to Glucose t1282.raw
FILES
RAW_FILES
Malate 2 to Glucose t1324.raw
FILES
RAW_FILES
Malate 2 to Glucose t1373.raw
FILES
RAW_FILES
Malate 2 to Glucose t1401.raw
FILES
RAW_FILES
Malate 2 to Glucose t1441.raw
FILES
RAW_FILES
Malate 2 to Glucose t736.raw
FILES
RAW_FILES
Malate 2 to Glucose t798.raw
FILES
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Malate 2 to Glucose t828.raw
FILES
RAW_FILES
Malate 2 to Glucose t851.raw
FILES
RAW_FILES
Malate 2 to Glucose t892.raw
FILES
RAW_FILES
Malate 2 to Glucose t935.raw
FILES
RAW_FILES
Malate 2 to Glucose t969.raw
FILES
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Malate 2 to Glucose t974.raw
FILES
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Malate 3 to Glucose t1026.raw
FILES
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RAW_FILES
Malate 3 to Glucose t1113.raw
FILES
RAW_FILES
Malate 3 to Glucose t1147.raw
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RAW_FILES
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FILES
RAW_FILES
Malate 3 to Glucose t1216.raw
FILES
RAW_FILES
Malate 3 to Glucose t1258.raw
FILES
RAW_FILES
Malate 3 to Glucose t1288.raw
FILES
RAW_FILES
Malate 3 to Glucose t1319.raw
FILES
RAW_FILES
Malate 3 to Glucose t1366.raw
FILES
RAW_FILES
Malate 3 to Glucose t1393.raw
FILES
RAW_FILES
Malate 3 to Glucose t739.raw
FILES
RAW_FILES
Malate 3 to Glucose t801.raw
FILES
RAW_FILES
Malate 3 to Glucose t830.raw
FILES
RAW_FILES
Malate 3 to Glucose t854.raw
FILES
RAW_FILES
Malate 3 to Glucose t895.raw
FILES
RAW_FILES
Malate 3 to Glucose t937.raw
FILES
RAW_FILES
Malate 3 to Glucose t972.raw
FILES
RAW_FILES
lead MM 1.raw
FILES
RAW_FILES
lead MM 2.raw
FILES
RAW_FILES
lead MM 3.raw
FILES
RAW_FILES
lead MM 4.raw
FILES
RAW_FILES
lead MM 5.raw
FILES
RAW_FILES
lead MM 6.raw
FILES
RAW_FILES
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FILES
RAW_FILES
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FILES
RAW_FILES
tail MM 1.raw
FILES
RAW_FILES
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FILES
RAW_FILES
tail MM 3.raw
FILES
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FILES
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tail MM 5.raw
FILES
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tail MM 6.raw
FILES
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tail MM 7.raw
FILES
RAW_FILES
tail MM 8.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Samples_Optical Density
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Culture Volume
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Unit.3
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 16
Returning 78 rows!
Added 78 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS39
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 924/1662 [1:42:05<1:04:39,  5.26s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 925/1662 [1:42:10<1:04:01,  5.21s/it]
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker Esquire 6000: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
AM063A.cdf
FILES
AM063B.cdf
FILES
AM063C.cdf
FILES
AM073A.cdf
FILES
AM073B.cdf
FILES
AM073C.cdf
FILES
AM083A.cdf
FILES
AM083B.cdf
FILES
AM083C.cdf
FILES
CS063A.cdf
FILES
CS063B.cdf
FILES
CS063C.cdf
FILES
CS073A.cdf
FILES
CS073B.cdf
FILES
CS073C.cdf
FILES
CS083A.cdf
FILES
CS083B.cdf
FILES
CS083C.cdf
FILES
MN063A.cdf
FILES
MN063B.cdf
FILES
MN063C.cdf
FILES
MN073A.cdf
FILES
MN073B.cdf
FILES
MN073C.cdf
FILES
MN083A.cdf
FILES
MN083B.cdf
FILES
MN083C.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Vineyard
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Year of Harvesting
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3923
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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Country: ADDED!
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MassSpectrometer:
  Agilent 5977A MSD: missing value
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  electron ionization (positive): missing value
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 21 rows!
Added 21 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3935
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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20200407Sample_1_38-A_PP02_3.mzXML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 103 rows!
Added 103 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3943
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3956
Request successful!
SampleCollectionMethod: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Thr-5.mzML
FILES
DERIVED_FILES
Thr-6.mzML
FILES
DERIVED_FILES
Trp-1.mzML
FILES
DERIVED_FILES
Trp-2.mzML
FILES
DERIVED_FILES
Trp-3.mzML
FILES
DERIVED_FILES
Trp-4.mzML
FILES
DERIVED_FILES
Trp-5.mzML
FILES
DERIVED_FILES
Trp-6.mzML
FILES
DERIVED_FILES
Val-1.mzML
FILES
DERIVED_FILES
Val-2.mzML
FILES
DERIVED_FILES
Val-3.mzML
FILES
DERIVED_FILES
Val-4.mzML
FILES
DERIVED_FILES
Val-5.mzML
FILES
DERIVED_FILES
Val-6.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Amino acid supplementation
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3973
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6210 TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
P1_neg.d
FILES
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NEG
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PT4_pos.d
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Assay_CE Instrument
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Label
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Column type
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Stromal co-culture
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 32 rows!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 929/1662 [1:42:31<1:02:13,  5.09s/it]
 56%|█████▌    | 930/1662 [1:42:31<46:51,  3.84s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 931/1662 [1:42:35<46:15,  3.80s/it]
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3977
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3997
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
negative_Gcp1.raw
FILES
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NEG
negative_Gcp10.raw
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negative_Gcp11.raw
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negative_Gcp2.raw
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negative_Gcp3.raw
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FILES
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FILES
RAW_FILES
POS
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FILES
RAW_FILES
POS
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FILES
RAW_FILES
POS
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FILES
RAW_FILES
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FILES
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FILES
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FILES
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positive_mcp9.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS40
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
L_01_1.cdf
FILES
L_02_1.cdf
FILES
L_03_1.cdf
FILES
L_04_1.cdf
FILES
L_05_1.cdf
FILES
L_06_1.cdf
FILES
L_08_1.cdf
FILES
L_09_1.cdf
FILES
L_10_1.cdf
FILES
L_11_1.cdf
FILES
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L_13_1.cdf
FILES
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L_18_1.cdf
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FILES
L_20_1.cdf
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FILES
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L_24_1.cdf
FILES
L_25_1.cdf
FILES
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FILES
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L_39_1.cdf
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L_42_1.cdf
FILES
L_44_1.cdf
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L_45_1.cdf
FILES
L_46_1.cdf
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L_47_1.cdf
FILES
L_48_1.cdf
FILES
L_50_1.cdf
FILES
L_51_1.cdf
FILES
L_52_1.cdf
FILES
L_53_1.cdf
FILES
L_54_1.cdf
FILES
L_57_1.cdf
FILES
L_60_1.cdf
FILES
alkane_1.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 932/1662 [1:42:40<49:54,  4.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 933/1662 [1:42:44<50:03,  4.12s/it]
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4012
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HFX: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
neg_QC01.mzXML
FILES
DERIVED_FILES
NEG
neg_QC02.mzXML
FILES
DERIVED_FILES
NEG
neg_QC03.mzXML
FILES
DERIVED_FILES
NEG
neg_S1_1.mzXML
FILES
DERIVED_FILES
NEG
neg_S1_2.mzXML
FILES
DERIVED_FILES
NEG
neg_S1_3.mzXML
FILES
DERIVED_FILES
NEG
neg_S1_4.mzXML
FILES
DERIVED_FILES
NEG
neg_S1_5.mzXML
FILES
DERIVED_FILES
NEG
neg_S1_6.mzXML
FILES
DERIVED_FILES
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4013
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Samples-WT_5.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▌    | 934/1662 [1:42:50<55:11,  4.55s/it]
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4015
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 56%|█████▋    | 935/1662 [1:42:54<55:38,  4.59s/it]
 56%|█████▋    | 936/1662 [1:42:55<42:43,  3.53s/it]QC_CSHC18_POS_18.raw
FILES
RAW_FILES
POS
QC_CSHC18_POS_19.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
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Number of rows removed due to not enough metadata: 0
Returning 116 rows!
Added 116 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS623
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS624
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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UBERONBodyPartName:
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FILES
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FILES
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blank2_pro_neg.mzXML
FILES
blank2_pro_pos.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 56%|█████▋    | 937/1662 [1:43:03<56:43,  4.69s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 56%|█████▋    | 938/1662 [1:43:06<52:25,  4.35s/it]
 56%|█████▋    | 939/1662 [1:43:07<39:35,  3.29s/it]
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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 29
Returning 110 rows!
Added 110 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4099
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SCC-1-NEG.raw
FILES
SCC-1-POS.raw
FILES
SCC-2-NEG.raw
FILES
SCC-2-POS.raw
FILES
SCC-3-NEG.raw
FILES
SCC-3-POS.raw
FILES
WCC-1-NEG.raw
FILES
WCC-1-POS.raw
FILES
WCC-2-NEG.raw
FILES
WCC-2-POS.raw
FILES
WCC-3-NEG.raw
FILES
WCC-3-POS.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
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IGNORED:  Assay_Term Source REF
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IGNORED:  extension
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS626
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6267
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS628
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS204
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_03.mzML
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QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_04.mzML
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FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_33.mzML
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_34.mzML
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_35.mzML
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_36.mzML
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA1_38.mzML
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA2_03.mzML
FILES
QXA05NEG20160216_HSLO010115VWBL_HUMAN_PLASMA2_04.mzML
FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 344 rows!
Added 344 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4128
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Cadmium concentration
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 90 rows!
Added 90 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS205
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Spectrum representation
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IGNORED:  Assay_Ion source/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Unit.1
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Number of rows removed due to not enough metadata: 0
Returning 448 rows!
Added 448 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4137
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4161
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Samples_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Sample Name
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Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS206
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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QXA15POSEAR20191001_JHOP0519VW_MOUSE_LENS_29.mzML
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FILES
QXA15POSEAR20191001_JHOP0519VW_MOUSE_LENS_31.mzML
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QXA15POSEAR20191001_JHOP0519VW_MOUSE_LENS_32.mzML
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QXA15POSEAR20191001_JHOP0519VW_MOUSE_LENS_34.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_03.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_12.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_13.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_15.mzML
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FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_17.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_18.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_19.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_21.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_22.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_23.mzML
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QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_24.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_25.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_26.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_27.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_29.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_30.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_31.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_32.mzML
FILES
QXA15POSLAT20191001_JHOP0519VW_MOUSE_LENS_34.mzML
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IGNORED:  Samples_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 57%|█████▋    | 947/1662 [1:44:00<1:20:13,  6.73s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 57%|█████▋    | 948/1662 [1:44:07<1:19:23,  6.67s/it]
 57%|█████▋    | 949/1662 [1:44:08<58:31,  4.93s/it]  
IGNORED:  Samples_Term Accession Number.3
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Number of rows removed due to not enough metadata: 0
Returning 112 rows!
Added 112 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4176
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
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Country: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Returning 10 rows!
Added 10 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS629
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4206
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Assay_Term Accession Number.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 57%|█████▋    | 950/1662 [1:44:14<1:02:33,  5.27s/it]
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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Number of rows removed due to not enough metadata: 0
Returning 208 rows!
Added 208 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS63
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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20130430_VP-ve_002.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 57%|█████▋    | 951/1662 [1:47:13<11:20:55, 57.46s/it]
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_MFFGC accession no.
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Country of origin
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 4047 rows!
Added 4047 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS630
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Presence of polymyxin/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 57%|█████▋    | 952/1662 [1:47:18<8:13:03, 41.67s/it] 
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 57%|█████▋    | 954/1662 [1:47:24<4:20:11, 22.05s/it]
IGNORED:  Samples_Unit
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Term Accession Number.7
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Samples_Time elapsed
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Organism part
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS631
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2080
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Mutation
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Number of rows removed due to not enough metadata: 0
Returning 86 rows!
Added 86 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4286
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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pos_20210505_82_Bel_per_Old_Roots_RB7_1_7483.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 35
Returning 175 rows!
Added 175 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS633
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SampleCollectionMethod: ADDED!
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QJZ-21-10-28-Kaitlyn-Hormone-posQJZ-21-10-28-Kaitlyn-Hormone-pos-AA10-3.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2088
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS634
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS209
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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  Waters SYNAPT HDMS System: missing value
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FILES
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F147_KBBp2_RP_neg.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 58%|█████▊    | 961/1662 [1:48:13<1:32:37,  7.93s/it]
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Number of rows removed due to not enough metadata: 0
Returning 458 rows!
Added 458 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4365
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4366
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Thermo Scientific Q Exactive Plus: missing value
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FILES
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IGNORED:  Assay_Post Extraction/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 963/1662 [1:48:18<1:01:56,  5.32s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
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Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4381
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
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Country: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 964/1662 [1:48:26<1:13:58,  6.36s/it]
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Number of rows removed due to not enough metadata: 0
Returning 213 rows!
Added 213 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4382
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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IGNORED:  Samples_Unit/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Sampling time
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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Number of rows removed due to not enough metadata: 0
Returning 124 rows!
Added 124 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS440
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4415
Request successful!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 967/1662 [1:48:46<1:12:19,  6.24s/it]
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Pyruvate kinase mutation
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4431
 58%|█████▊    | 968/1662 [1:48:47<54:01,  4.67s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 969/1662 [1:48:52<56:11,  4.87s/it]
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS210
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 0
Returning 33 rows!
Added 33 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS636
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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RAW_Val_week1_1.raw
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RAW_Val_week1_2.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 970/1662 [1:49:06<1:27:31,  7.59s/it]
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 13
Returning 226 rows!
Added 226 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4497
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  LECO Pegasus 4D: missing value
  Thermo Scientific Orbitrap Elite: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.8
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IGNORED:  Samples_Organism part
IGNORED:  Samples_Split rate
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Sample preparation
IGNORED:  Assay_Column model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 971/1662 [1:49:13<1:26:54,  7.55s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 58%|█████▊    | 972/1662 [1:49:19<1:18:58,  6.87s/it]
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 5
Returning 46 rows!
Added 46 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS45
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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R_03_1.cdf
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R_04_1.cdf
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R_05_1.cdf
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R_07_1.cdf
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R_09_1.cdf
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R_20_1.cdf
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R_21_1.cdf
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R_22_1.cdf
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R_23_1.cdf
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R_24_1.cdf
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R_25_1.cdf
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R_26_1.cdf
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R_38_1.cdf
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R_48_1.cdf
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R_50_1.cdf
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R_51_1.cdf
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R_52_1.cdf
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R_53_1.cdf
FILES
R_55_1.cdf
FILES
R_56_1.cdf
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R_57_1.cdf
FILES
R_58_1.cdf
FILES
alkane_1.cdf
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
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IGNORED:  Samples_Sample type
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 53 rows!
Added 53 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS638
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker impact II UHR-TOF: missing value
ChromatographyAndPhase:
   (Phenyl-Hexyl): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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HM 06 Vi 1.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 13
Returning 156 rows!
Added 156 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4568
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4569
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX Triple Quad 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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HILIC
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FILES
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FILES
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HILIC
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FILES
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HILIC
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FILES
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HILIC
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FILES
DERIVED_FILES
HILIC
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FILES
DERIVED_FILES
HILIC
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FILES
DERIVED_FILES
HILIC
920A_Hilic.mzML
FILES
DERIVED_FILES
HILIC
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FILES
DERIVED_FILES
HILIC
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FILES
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HILIC
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FILES
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HILIC
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FILES
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HILIC
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HILIC
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HILIC
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DERIVED_FILES
HILIC
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FILES
DERIVED_FILES
HILIC
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FILES
DERIVED_FILES
RPLC
694A_T3.mzML
FILES
DERIVED_FILES
RPLC
695A_T3.mzML
FILES
DERIVED_FILES
RPLC
696A_T3.mzML
FILES
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RPLC
697A_T3.mzML
FILES
DERIVED_FILES
RPLC
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FILES
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699A_T3.mzML
FILES
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700A_T3.mzML
FILES
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701A_T3.mzML
FILES
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702A_T3.mzML
FILES
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703A_T3.mzML
FILES
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704A_T3.mzML
FILES
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705A_T3.mzML
FILES
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706A_T3.mzML
FILES
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707A_T3.mzML
FILES
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708A_T3.mzML
FILES
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709A_T3.mzML
FILES
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710A_T3.mzML
FILES
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711A_T3.mzML
FILES
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712A_T3.mzML
FILES
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713A_T3.mzML
FILES
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714A_T3.mzML
FILES
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715A_T3.mzML
FILES
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716A_T3.mzML
FILES
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717A_T3.mzML
FILES
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718A_T3.mzML
FILES
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719A_T3.mzML
FILES
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720A_T3.mzML
FILES
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722A_T3.mzML
FILES
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724A_T3.mzML
FILES
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725A_T3.mzML
FILES
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726A_T3.mzML
FILES
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727A_T3.mzML
FILES
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728A_T3.mzML
FILES
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729A_T3.mzML
FILES
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730A_T3.mzML
FILES
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732A_T3.mzML
FILES
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733A_T3.mzML
FILES
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734A_T3.mzML
FILES
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735A_T3.mzML
FILES
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736A_T3.mzML
FILES
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738A_T3.mzML
FILES
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739A_T3.mzML
FILES
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740A_T3.mzML
FILES
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741A_T3.mzML
FILES
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742A_T3.mzML
FILES
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743A_T3.mzML
FILES
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744A_T3.mzML
FILES
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745A_T3.mzML
FILES
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746A_T3.mzML
FILES
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748A_T3.mzML
FILES
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749A_T3.mzML
FILES
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750A_T3.mzML
FILES
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751A_T3.mzML
FILES
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752A_T3.mzML
FILES
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753A_T3.mzML
FILES
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754A_T3.mzML
FILES
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755A_T3.mzML
FILES
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756A_T3.mzML
FILES
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757A_T3.mzML
FILES
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758A_T3.mzML
FILES
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759A_T3.mzML
FILES
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760A_T3.mzML
FILES
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761A_T3.mzML
FILES
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FILES
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763A_T3.mzML
FILES
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764A_T3.mzML
FILES
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765A_T3.mzML
FILES
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766A_T3.mzML
FILES
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767A_T3.mzML
FILES
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768A_T3.mzML
FILES
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769A_T3.mzML
FILES
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770A_T3.mzML
FILES
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771A_T3.mzML
FILES
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772A_T3.mzML
FILES
DERIVED_FILES
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773A_T3.mzML
FILES
DERIVED_FILES
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774A_T3.mzML
FILES
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775A_T3.mzML
FILES
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776A_T3.mzML
FILES
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RPLC
777A_T3.mzML
FILES
DERIVED_FILES
RPLC
778A_T3.mzML
FILES
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RPLC
780A_T3.mzML
FILES
DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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781A_T3.mzML
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783A_T3.mzML
FILES
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784A_T3.mzML
FILES
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786A_T3.mzML
FILES
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RPLC
787A_T3.mzML
FILES
DERIVED_FILES
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788A_T3.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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833A_T3.mzML
FILES
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834A_T3.mzML
FILES
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835A_T3.mzML
FILES
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836A_T3.mzML
FILES
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837A_T3.mzML
FILES
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838A_T3.mzML
FILES
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FILES
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FILES
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FILES
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843A_T3.mzML
FILES
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844A_T3.mzML
FILES
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845A_T3.mzML
FILES
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846A_T3.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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858A_T3.mzML
FILES
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859A_T3.mzML
FILES
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860A_T3.mzML
FILES
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861A_T3.mzML
FILES
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FILES
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FILES
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864A_T3.mzML
FILES
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865A_T3.mzML
FILES
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866A_T3.mzML
FILES
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FILES
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868A_T3.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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905A_T3.mzML
FILES
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906A_T3.mzML
FILES
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907A_T3.mzML
FILES
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909A_T3.mzML
FILES
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910A_T3.mzML
FILES
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911A_T3.mzML
FILES
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912A_T3.mzML
FILES
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916A_T3.mzML
FILES
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FILES
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FILES
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919A_T3.mzML
FILES
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920A_T3.mzML
FILES
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921A_T3.mzML
FILES
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922A_T3.mzML
FILES
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924A_T3.mzML
FILES
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925A_T3.mzML
FILES
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926A_T3.mzML
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929A_T3.mzML
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931A_T3.mzML
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932A_T3.mzML
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933A_T3.mzML
FILES
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934A_T3.mzML
FILES
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936A_T3.mzML
FILES
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937A_T3.mzML
FILES
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939A_T3.mzML
FILES
DERIVED_FILES
RPLC
941A_T3.mzML
IGNORED:  Is Fluid
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IGNORED:  row_id
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IGNORED:  Samples_Mothers education
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Fathers education
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Samples_Fluoride toothpaste
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
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IGNORED:  Assay_Derivatization
IGNORED:  filepath
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Tooth brushing frequency
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
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IGNORED:  filename_lower
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
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IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Term Source REF.8
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Number of rows removed due to not enough metadata: 0
Returning 400 rows!
Added 400 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4579
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 14 rows!
Added 14 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4590
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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UBERONBodyPartName:
  : missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Influenza A virus infection
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IGNORED:  Assay_Column model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 59%|█████▉    | 977/1662 [1:49:49<1:11:22,  6.25s/it]
 59%|█████▉    | 978/1662 [1:49:50<53:37,  4.70s/it]  
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 73 rows!
Added 73 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4591
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS46
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS639
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS64
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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20130528_SNP+ve_115.raw
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_MFFGC accession no.
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Country of origin
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 4135 rows!
Added 4135 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS640
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS641
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600+: missing value
FILES
Curva_HQC-1.wiff
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Curva_Ponto_3-7.wiff
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Curva_Ponto_3-8.wiff
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Curva_Ponto_3-9.wiff
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Curva_Ponto_4-1.wiff
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Curva_Ponto_4-2.wiff
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Curva_Ponto_4-3.wiff
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Curva_Ponto_4-4.wiff
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Curva_Ponto_4-5.wiff
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Curva_Ponto_4-6.wiff
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Curva_Ponto_4-7.wiff
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Curva_Ponto_4-8.wiff
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Curva_Ponto_5-1.wiff
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Curva_Ponto_5-7.wiff
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Curva_Ponto_5-8.wiff
FILES
Curva_Ponto_5-9.wiff
FILES
Curva_Ponto_6-1.wiff
FILES
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FILES
Curva_Ponto_6-2.wiff
FILES
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Curva_Ponto_6-4.wiff
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Curva_Ponto_7-1.wiff
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Curva_Ponto_7-10.wiff/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 59%|█████▉    | 983/1662 [1:53:12<5:54:15, 31.30s/it]
FILES
Curva_Ponto_7-2.wiff
FILES
Curva_Ponto_7-3.wiff
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 121
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS642
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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FILES
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IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 59%|█████▉    | 984/1662 [1:53:18<4:28:08, 23.73s/it]
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
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Number of rows removed due to not enough metadata: 0
Returning 165 rows!
Added 165 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS47
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 59%|█████▉    | 985/1662 [1:53:32<3:55:03, 20.83s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 59%|█████▉    | 986/1662 [1:53:36<2:56:47, 15.69s/it]
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IGNORED:  Assay_Term Accession Number.5
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Returning 658 rows!
Added 658 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4717
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4766
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS644
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4820
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 60%|█████▉    | 989/1662 [1:53:43<1:21:46,  7.29s/it]IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
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Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4823
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 60%|█████▉    | 990/1662 [1:53:58<1:46:23,  9.50s/it]
 60%|█████▉    | 991/1662 [1:53:58<1:17:08,  6.90s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 60%|█████▉    | 992/1662 [1:54:02<1:05:36,  5.88s/it]
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Wounding
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 45
Returning 421 rows!
Added 421 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4854
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4856
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6230 Accurate-Mass TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Group
IGNORED:  Assay_CE Instrument
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Temperature
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4861
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 783 rows!
Added 783 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS648
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS215
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS65
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 60%|█████▉    | 996/1662 [1:57:25<10:52:35, 58.79s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 60%|█████▉    | 997/1662 [1:57:30<7:54:53, 42.85s/it] 
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IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 4136 rows!
Added 4136 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS650
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SC_20160405_KO_01.raw
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SC_20160405_KO_01_neg.raw
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SC_20160405_KO_02_neg.raw
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SC_20160405_KO_03.raw
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SC_20160405_KO_03_neg.raw
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SC_20160405_QCSM_Neg_25ug_HILIC_01.raw
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SC_20160405_WTKO_DDA_QC_01_neg.raw
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SC_20160405_WTKO_FMS_QC_02.raw
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SC_20160405_WTKO_FMS_QC_03.raw
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SC_20160405_WTKO_FMS_QC_neg_04.raw
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SC_20160405_WTKO_PRMn_QC_03.raw
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SC_20160405_WTKO_PRMp_QC_01.raw
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SC_20160405_WTKO_PRMp_QC_02.raw
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SC_20160405_WTKO_PRMp_QC_03.raw
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SC_20160405_WT_01_neg.raw
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SC_20160405_WT_03.raw
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SC_20160411_QCSM_Pos_25ug_HILIC_01.raw
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SC_20160411_QCSM_Pos_25ug_HILIC_02.raw
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SC_20171206_HILICp_FMS_QCRM_03.raw
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SC_20171208_HILICp_DDA2_CSv_QC_01.raw
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SC_20171208_HILICp_DDA2_CSv_QC_03.raw
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SC_20171208_HILICp_DDA2_CSv_QC_05.raw
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SC_20171208_HILICp_DDA2_CSv_QC_07.raw
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SC_20171208_HILICp_FMS_CSv_QC_04.raw
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SC_20171208_HILICp_FMS_CSv_QC_06.raw
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SC_20171208_HILICp_FMS_CSv_QC_08.raw
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SC_20171208_HILICp_FMS_QCRM_01.raw
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SC_20171208_HILICp_FMS_QCRM_02.raw
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SC_20171208_HILICp_PRM_KO1_T1.raw
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SC_20171208_HILICp_PRM_KO1_T2.raw
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SC_20171208_HILICp_PRM_KO2_T1.raw
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SC_20171208_HILICp_PRM_KO2_T2.raw
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SC_20171208_HILICp_PRM_KO3_T1.raw
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SC_20171208_HILICp_PRM_KO3_T2.raw
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SC_20171208_HILICp_PRM_KO4_T1.raw
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SC_20171208_HILICp_PRM_KO4_T2.raw
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SC_20171208_HILICp_PRM_WT1_T1.raw
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SC_20171208_HILICp_PRM_WT1_T2.raw
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SC_20171208_HILICp_PRM_WT2_T1.raw
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SC_20171208_HILICp_PRM_WT2_T2.raw
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SC_20171208_HILICp_PRM_WT3_T1.raw
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SC_20171208_HILICp_PRM_WT3_T2.raw
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SC_20171208_HILICp_PRM_WT4_T1.raw
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SC_20171208_HILICp_PRM_WT4_T2.raw
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SC_20171209_HILICn_DDA2_CSv_QC_01.raw
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SC_20171209_HILICn_DDA2_CSv_QC_02.raw
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SC_20171209_HILICn_DDA2_CSv_QC_03.raw
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SC_20171209_HILICn_DDA2_CSv_QC_05.raw
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SC_20171209_HILICn_DDA2_CSv_QC_07.raw
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SC_20171209_HILICn_FMS_CSv_QC_04.raw
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SC_20171209_HILICn_FMS_CSv_QC_06.raw
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SC_20171209_HILICn_FMS_CSv_QC_08.raw
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SC_20171209_HILICn_FMS_QCRM_01.raw
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SC_20171209_HILICn_FMS_QCRM_02.raw
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SC_20171209_HILICn_FMS_QCRM_03.raw
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SC_20171209_HILICn_FMS_QCRM_04.raw
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SC_20171209_HILICn_PRM_KO1_T1.raw
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SC_20171209_HILICn_PRM_KO1_T2.raw
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SC_20171209_HILICn_PRM_KO2_T1.raw
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SC_20171209_HILICn_PRM_KO2_T2.raw
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SC_20171209_HILICn_PRM_KO3_T1.raw
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SC_20171209_HILICn_PRM_KO3_T2.raw
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SC_20171209_HILICn_PRM_KO4_T1.raw
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SC_20171209_HILICn_PRM_KO4_T2.raw
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SC_20171209_HILICn_PRM_WT1_T1.raw
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SC_20171209_HILICn_PRM_WT1_T2.raw
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SC_20171209_HILICn_PRM_WT2_T1.raw
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SC_20171209_HILICn_PRM_WT2_T2.raw
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SC_20171209_HILICn_PRM_WT3_T1.raw
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SC_20171209_HILICn_PRM_WT3_T2.raw
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SC_20171209_HILICn_PRM_WT4_T1.raw
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SC_20171209_HILICn_PRM_WT4_T2.raw
IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 86 rows!
Added 86 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4932
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4933
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4967
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 60%|██████    | 1000/1662 [1:57:37<3:01:34, 16.46s/it]
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Number of rows removed due to not enough metadata: 0
Returning 114 rows!
Added 114 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS652
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
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ENVOEnvironmentMaterial:
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FILES
Infected_02122018_PJ_A.raw
FILES
Infected_02122018_PJ_B.raw
FILES
MRCF5_Mock_A_020718_lipid.raw
FILES
MRCF5_Mock_B_020718_lipid.raw
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MRCF5_Mock_C_020718_lipid.raw
FILES
NC1_HCMV_1.raw
FILES
NC1_HCMV_2.raw
FILES
NC1_HCMV_3.raw
FILES
NC1_Mock_1.raw
FILES
NC1_Mock_2.raw
FILES
NC1_Mock_3.raw
FILES
PEX11-2_HCMV_1.raw
FILES
PEX11-2_HCMV_2.raw
FILES
PEX11-2_HCMV_3.raw
FILES
PEX11-2_Mock_2.raw
FILES
PEX11-2_Mock_3.raw
FILES
PEX11_Mock_1.raw
FILES
PEX3-3_HCMV_1.raw
FILES
PEX3-3_HCMV_2.raw
FILES
PEX3-3_HCMV_3.raw
FILES
PEX3-3_Mock_1.raw
FILES
PEX3-3_Mock_2.raw
FILES
PEX3-3_Mock_3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Is Descendant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 60%|██████    | 1001/1662 [1:57:41<2:20:07, 12.72s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Infection
IGNORED:  Samples_Gene knockout
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS653
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert XL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
PARIS_TMS_S15J0.mzML
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PARIS_TMS_S15S6.mzML
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PARIS_TMS_S17J0.mzML
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PARIS_TMS_S17S6.mzML
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PARIS_TMS_S1S6.mzML
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PARIS_TMS_S22J0.mzML
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PARIS_TMS_S22S6.mzML
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PARIS_TMS_S24J0.mzML
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PARIS_TMS_S24S6.mzML
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PARIS_TMS_S25J0.mzML
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PARIS_TMS_S27J0.mzML
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PARIS_TMS_S31J0.mzML
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PARIS_TMS_S31S6.mzML
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PARIS_TMS_S32J0.mzML
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PARIS_TMS_S32S6.mzML
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PARIS_TMS_S33J0.mzML
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PARIS_TMS_S33S6.mzML
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PARIS_TMS_S35J0.mzML
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PARIS_TMS_S35S6.mzML
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PARIS_TMS_S36J0.mzML
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PARIS_TMS_S36S6.mzML
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PARIS_TMS_S38J0.mzML
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PARIS_TMS_S38S6.mzML
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PARIS_TMS_S3J0.mzML
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PARIS_TMS_S3S6.mzML
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PARIS_TMS_S41J0.mzML
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PARIS_TMS_S41S6.mzML
FILES
PARIS_TMS_S42J0.mzML
FILES
PARIS_TMS_S42S6.mzML
FILES
PARIS_TMS_S44J0.mzML
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PARIS_TMS_S44S6.mzML
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PARIS_TMS_S49J0.mzML
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PARIS_TMS_S49S6.mzML
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PARIS_TMS_S4J0.mzML
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PARIS_TMS_S51J0.mzML
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PARIS_TMS_S51S6.mzML
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PARIS_TMS_S52J0.mzML
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PARIS_TMS_S52S6.mzML
FILES
PARIS_TMS_S53J0.mzML
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PARIS_TMS_S6J0.mzML
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PARIS_TMS_S6S6.mzML
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PARIS_TMS_S7J0.mzML
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PARIS_TMS_S7S6.mzML
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PARIS_TMS_S9J0.mzML
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PARIS_TMS_S9S6.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 53 rows!
Added 53 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS654
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS656
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6578
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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  Thermo Scientific TSQ Altis: missing value
  Thermo Scientific TSQ Quantiva: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20210309_ID_SW_RP_S12_P2_KO2_Knaus_65.raw
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20210309_ID_SW_RP_S20_E_KO2_Knaus_66.raw
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20210309_ID_SW_RP_S4_P40_KO2_Knaus_64.raw
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20210309_QC_ALL_R01_FMS_SW_RP_Knaus_21.raw
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20210309_QC_P40_T03_ID_SW_RP_Knaus_58.raw
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20210309_blank_R01_FMS_SW_RP_Knaus_20.raw
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20210309_blank_R02_FMS_SW_RP_Knaus_26.raw
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20210309_blank_R03_FMS_SW_RP_Knaus_32.raw
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20210309_blank_R04_FMS_SW_RP_Knaus_38.raw
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20210309_blank_R05_FMS_SW_RP_Knaus_44.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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20210309_sample_FMS_SW_RP_S10_P2_KO1_Knaus_22.raw
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20210309_sample_FMS_SW_RP_S11_P2_WT2_Knaus_25.raw
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20210309_sample_FMS_SW_RP_S12_P2_KO2_Knaus_31.raw
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20210309_sample_FMS_SW_RP_S13_P2_WT3_Knaus_46.raw
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20210309_sample_FMS_SW_RP_S14_P2_KO3_Knaus_36.raw
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20210309_sample_FMS_SW_RP_S1_P40_WT1_Knaus_28.raw
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20210309_sample_FMS_SW_RP_S21_E_WT3_Knaus_53.raw
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20210309_sample_FMS_SW_RP_S23_E_WT4_Knaus_35.raw
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20210309_sample_FMS_SW_RP_S24_E_KO4_Knaus_30.raw
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20210309_sample_FMS_SW_RP_S2_P40_KO1_Knaus_55.raw
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20210309_sample_FMS_SW_RP_S3_P40_WT2_Knaus_34.raw
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20210309_sample_FMS_SW_RP_S4_P40_KO2_Knaus_48.raw
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20210309_sample_FMS_SW_RP_S5_P40_WT3_Knaus_49.raw
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20210309_sample_FMS_SW_RP_S7_P40_WT4_Knaus_37.raw
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20210311_QC_ALL_T05_ID_SW_HILIC_Knaus_18.raw
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20210311_QC_ALL_T07_CD_pos_HILIC_Knaus_62.raw
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20210311_QC_E_T01_ID_SW_HILIC_Knaus_10.raw
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20210311_QC_E_T02_ID_SW_HILIC_Knaus_13.raw
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20210311_QC_P2_T01_ID_SW_HILIC_Knaus_09.raw
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20210311_QC_P40_T01_ID_SW_HILIC_Knaus_08.raw
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20210311_blank_R03_FMS_SW_HILIC_Knaus_31.raw
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20210311_sample_FMS_SW_HILIC_S16_P2_KO4_Knaus_48.raw
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20210311_sample_FMS_SW_HILIC_S20_E_KO2_Knaus_52.raw
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WT4x2409_targeted_cell_Hilic.raw
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WT5_2409_targeted_met_cell_RP.raw
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WT5x2409_targeted_cell_Hilic.raw
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WT7_2409_targeted_met_cell_RP.raw
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WT7x2409_targeted_cell_Hilic.raw
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Number of rows removed due to not enough metadata: 0
Returning 141 rows!
Added 141 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS658
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6580
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 394 rows!
Added 394 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS217
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS66
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_MFFGC accession no
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 61%|██████    | 1009/1662 [2:01:17<10:55:16, 60.21s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████    | 1010/1662 [2:01:24<8:01:38, 44.32s/it] 
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Country of origin
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 3950 rows!
Added 3950 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS661
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Returning 126 rows!
Added 126 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5071
Request successful!
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POS_Ei11QXZ_control6.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
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Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5072
Request successful!
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Returning 7 rows!
Added 7 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS662
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS664
Request successful!
SampleCollectionMethod: ADDED!
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VT_150413_227.cdf/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 16
Returning 1005 rows!
Added 1005 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5152
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6410 Triple Quadrupole: missing value
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C1027.mzML
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IGNORED:  Assay_MS Assay Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████    | 1015/1662 [2:02:02<2:38:53, 14.74s/it]
 61%|██████    | 1016/1662 [2:02:03<1:53:34, 10.55s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████    | 1017/1662 [2:02:07<1:33:47,  8.73s/it]
IGNORED:  Assay_Guard column
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Number of rows removed due to not enough metadata: 0
Returning 4 rows!
Added 4 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5155
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5185
Request successful!
SampleCollectionMethod: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5204
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Samples_Organism part
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IGNORED:  Assay_Protocol REF.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████▏   | 1018/1662 [2:02:11<1:18:24,  7.31s/it]
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 39 rows!
Added 39 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5208
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6546 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 100 rows!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████▏   | 1019/1662 [2:02:21<1:27:34,  8.17s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████▏   | 1020/1662 [2:02:29<1:23:54,  7.84s/it]
 61%|██████▏   | 1021/1662 [2:02:29<1:01:27,  5.75s/it]
Added 100 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS219
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10FKO.cdf
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_sex
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5267
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS665
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  filepath
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Source REF.8
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Is Multicellular
IGNORED:  Assay_Label
IGNORED:  Assay_Run order
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Batch run order
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Is Organ
IGNORED:  Samples_Previous Malaria Infection
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Labeled Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 61%|██████▏   | 1022/1662 [2:02:43<1:25:42,  8.04s/it]
 62%|██████▏   | 1023/1662 [2:02:44<1:02:28,  5.87s/it]
 62%|██████▏   | 1024/1662 [2:02:44<46:23,  4.36s/it]  
 62%|██████▏   | 1025/1662 [2:02:45<34:51,  3.28s/it]
 62%|██████▏   | 1026/1662 [2:02:46<27:00,  2.55s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 62%|██████▏   | 1027/1662 [2:02:52<36:52,  3.48s/it]
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Previous Malaria Infection
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 396 rows!
Added 396 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS666
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS667
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS669
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS670
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2205
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6470 Triple Quadrupole: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 20
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5368
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Samples_Term Accession Number.6/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Source REF.4
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Number of rows removed due to not enough metadata: 25
Returning 107 rows!
Added 107 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5381
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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NEG/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 62%|██████▏   | 1029/1662 [2:03:10<1:07:15,  6.38s/it]
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Number of rows removed due to not enough metadata: 0
Returning 353 rows!
Added 353 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS671
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
  micrOTOF-Q: missing value
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neg-SN92_2-D,1_01_185.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_run order
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Data Transformation Name.2
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.21
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Site
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Assay_Term Accession Number.21
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Fresh weight
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Harvest Date
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 164
Returning 466 rows!
Added 466 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5543
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 428 rows!
Added 428 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS673
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-XS QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6742
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
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IGNORED:  Is Descendant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5615
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Isotopic labelling
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 297 rows!
Added 297 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS675
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6768
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Protocol REF12
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Protocol REF13
IGNORED:  Assay_Term Source REF6
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Identification
IGNORED:  Assay_Term Accession Number4
IGNORED:  Assay_Protocol REF2
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Label
IGNORED:  Assay_Term Accession Number11
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Elapsed time
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF10
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Experiment type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Source REF8
IGNORED:  Samples_Disease
IGNORED:  Assay_Term Accession Number7
IGNORED:  Assay_Term Accession Number9
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF2
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Study group
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF5
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 736 rows!
Added 736 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS677
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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_I_SiASNS3.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 62%|██████▏   | 1037/1662 [2:04:33<1:31:51,  8.82s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 62%|██████▏   | 1038/1662 [2:04:36<1:15:57,  7.30s/it]
 63%|██████▎   | 1039/1662 [2:04:37<55:57,  5.39s/it]  
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Request successful!
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Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS679
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IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 596 rows!
Added 596 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5772
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
Blank001.mzML
FILES
DERIVED_FILES
Tt01-1.mzML
FILES
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Tt01-2.mzML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Body length
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Tissue location
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 29 rows!
Added 29 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5785
Request successful!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1042/1662 [2:05:20<1:33:28,  9.05s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1043/1662 [2:05:24<1:16:40,  7.43s/it]
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
Raw Data LC HRMS Citrus sinensis.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5808
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5828
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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FILES
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
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IGNORED:  keep
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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Number of rows removed due to not enough metadata: 0
Returning 156 rows!
Added 156 samples./app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1044/1662 [2:05:29<1:09:03,  6.70s/it]
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS68
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES
20130729_NP-ve_003.raw
FILES
20130729_NP-ve_004.raw
FILES
20130729_NP-ve_005.raw
FILES
20130729_NP-ve_006.raw
FILES
20130729_NP-ve_007.raw
FILES
20130729_NP-ve_008.raw
FILES
20130729_NP-ve_009.raw
FILES
20130729_NP-ve_010.raw
FILES
20130729_NP-ve_011.raw
FILES
20130729_NP-ve_012.raw
FILES
20130729_NP-ve_013.raw
FILES
20130729_NP-ve_014.raw
FILES
20130729_NP-ve_015.raw
FILES
20130729_NP-ve_016.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 63%|██████▎   | 1045/1662 [2:08:23<9:44:34, 56.85s/it]
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Population ID
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_MFFGC accession no.
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Country of origin
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Type
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 3936 rows!
Added 3936 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5841
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
  Waters SYNAPT G2-S: missing value
IonizationSourceAndPolarity:
  atmospheric pressure chemical ionization (alternating): missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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PaenibacillusM_2.1.RAW
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AD87M_HylemonellaInter_TSB_d6 Lockmass corrected.raw
FILES
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Hylemonella Mono day 5 Lockmass corrected.raw
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Interactions 1 Lockmass corrected.raw
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FILES
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test Lockmass corrected.raw
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1046/1662 [2:08:33<7:18:16, 42.69s/it]
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Is Organ
IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Scan type
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Label
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Max count of pixel x
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Target material
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 24
Returning 37 rows!
Added 37 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS680
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientic TSQ Quantiva: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CCWB_aqueous_longstudy_230215_167.raw
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FILES
CCWB_oxidativestress_180315_66.raw
FILES
CCWB_oxidativestress_180315_67.raw
FILES
CCWB_oxidativestress_180315_68.raw
FILES
CCWB_oxidativestress_180315_69.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Drug Treatment
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Post-Extraction
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1047/1662 [2:08:37<5:19:05, 31.13s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 63%|██████▎   | 1048/1662 [2:08:41<3:55:34, 23.02s/it]
 63%|██████▎   | 1049/1662 [2:08:42<2:48:05, 16.45s/it]
Number of rows removed due to not enough metadata: 0
Returning 77 rows!
Added 77 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS682
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
F150507_04_QE1_jbwills_M_PF_PosNeg_21-Gio-HELA-DMSO-2h-posneg-C1-RC1.raw
FILES
F150507_19_QE1_jbwills_M_PF_PosNeg_3-Gio-HCT1116-DMSO-2h-posneg-A3-RA3.raw
FILES
F150507_21_QE1_jbwills_M_PF_PosNeg_1-Gio-HCT1116-DMSO-2h-posneg-A1-RA1.raw
FILES
F150507_23_QE1_jbwills_M_PF_PosNeg_12-Gio-RPE1-DMSO-2h-posneg-B2-RB2.raw
FILES
F150507_24_QE1_jbwills_M_PF_PosNeg_27-Gio-HELA-HCTx-2h-posneg-C5-RC6.raw
FILES
F150507_26_QE1_jbwills_M_PF_PosNeg_2-Gio-HCT1116-DMSO-2h-posneg-A2-RA2.raw
FILES
F150507_27_QE1_jbwills_M_PF_PosNeg_18-Gio-RPE1-HCTx-2h-posneg-B6-RB7.raw
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F150507_30_QE1_jbwills_M_PF_PosNeg_26-Gio-HELA-HCTx-2h-posneg-C4-RC5.raw
FILES
F150507_32_QE1_jbwills_M_PF_PosNeg_13-Gio-RPE1-DMSO-2h-posneg-B3-RB3.raw
FILES
F150507_34_QE1_jbwills_M_PF_PosNeg_23-Gio-HELA-DMSO-2h-posneg-C3-RC3.raw
FILES
F150507_35_QE1_jbwills_M_PF_PosNeg_8-Gio-HCT1116-HCTx-2h-posneg-A6-RA7.raw
FILES
F150507_38_QE1_jbwills_M_PF_PosNeg_11-Gio-RPE1-DMSO-2h-posneg-B1-RB1.raw
FILES
F150507_39_QE1_jbwills_M_PF_PosNeg_28-Gio-HELA-HCTx-2h-posneg-C6-RC7.raw
FILES
F150507_42_QE1_jbwills_M_PF_PosNeg_7-Gio-HCT1116-HCTx-2h-posneg-A5-RA6.raw
FILES
F150507_56_QE1_jbwills_M_PF_PosNeg_16-Gio-RPE1-HCTx-2h-posneg-B4-RB5.raw
FILES
F150507_59_QE1_jbwills_M_PF_PosNeg_22-Gio-HELA-DMSO-2h-posneg-C2-RC2.raw
FILES
F150507_60_QE1_jbwills_M_PF_PosNeg_6-Gio-HCT1116-HCTx-2h-posneg-A4-RA5.raw
FILES
F150507_63_QE1_jbwills_M_PF_PosNeg_17-Gio-RPE1-HCTx-2h-posneg-B5-RB6.raw
FILES
F150629_04_QE1_grodrigu_M_PF_Sample_100b.raw
FILES
F150629_05_QE1_grodrigu_M_PF_DMSO_3.raw
FILES
F150629_06_QE1_grodrigu_M_PF_Sample_500b.raw
FILES
F150629_07_QE1_grodrigu_M_PF_Sample_50b.raw
FILES
F150629_08_QE1_grodrigu_M_PF_Sample_5b.raw
FILES
F150629_09_QE1_grodrigu_M_PF_Sample_250c.raw
FILES
F150629_10_QE1_grodrigu_M_PF_DMSO_5.raw
FILES
F150629_11_QE1_grodrigu_M_PF_Sample_25b.raw
FILES
F150629_12_QE1_grodrigu_M_PF_Sample_100a.raw
FILES
F150629_13_QE1_grodrigu_M_PF_Sample_250a.raw
FILES
F150629_14_QE1_grodrigu_M_PF_Sample_500a.raw
FILES
F150629_15_QE1_grodrigu_M_PF_DMSO_1.raw
FILES
F150629_19_QE1_grodrigu_M_PF_DMSO_2.raw
FILES
F150629_20_QE1_grodrigu_M_PF_Sample_5c.raw
FILES
F150629_21_QE1_grodrigu_M_PF_Sample_500c.raw
FILES
F150629_22_QE1_grodrigu_M_PF_DMSO_4.raw
FILES
F150629_23_QE1_grodrigu_M_PF_Sample_50a.raw
FILES
F150629_24_QE1_grodrigu_M_PF_Sample_25a.raw
FILES
F150629_25_QE1_grodrigu_M_PF_DMSO_6.raw
FILES
F150629_26_QE1_grodrigu_M_PF_Sample_5a.raw
FILES
F150629_27_QE1_grodrigu_M_PF_Sample_50c.raw
FILES
F150629_28_QE1_grodrigu_M_PF_Sample_250b.raw
FILES
F150629_29_QE1_grodrigu_M_PF_Sample_100c.raw
FILES
F150629_30_QE1_grodrigu_M_PF_Sample_25c.raw
FILES
HCT116_DMSO_1.raw
FILES
HCT116_DMSO_2.raw
FILES
HCT116_DMSO_3.raw
FILES
HCT116_HCTx_1.raw
FILES
HCT116_HCTx_2.raw
FILES
HCT116_HCTx_3.raw
FILES
HCT116_aza_1.raw
FILES
HCT116_aza_2.raw
FILES
HCT116_aza_3.raw
FILES
HCT116_aza_DMSO_1.raw
FILES
HCT116_aza_DMSO_2.raw
FILES
HCT116_aza_DMSO_3.raw
FILES
HeLa_DMSO_1.raw
FILES
HeLa_DMSO_2.raw
FILES
HeLa_DMSO_3.raw
FILES
HeLa_HCTx_1.raw
FILES
HeLa_HCTx_2.raw
FILES
HeLa_HCTx_3.raw
FILES
RPE1_DMSO_1.raw
FILES
RPE1_DMSO_2.raw
FILES
RPE1_DMSO_3.raw
FILES
RPE1_HCTx_1.raw
FILES
RPE1_HCTx_2.raw
FILES
RPE1_HCTx_3.raw
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Drug
IGNORED:  Samples_Cell line
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
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IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Concentration
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Time
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 66 rows!
Added 66 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS683
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5971
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
DNA-PK KO UUO1.raw
FILES
RAW_FILES
NEG
DNA-PK KO UUO2.raw
FILES
RAW_FILES
NEG
DNA-PK KO UUO3.raw
FILES
RAW_FILES
NEG
DNA-PK KO UUO4.raw
FILES
RAW_FILES
NEG
DNA-PK KO1.raw
FILES
RAW_FILES
NEG
DNA-PK KO2.raw
FILES
RAW_FILES
NEG
DNA-PK KO3.raw
FILES
RAW_FILES
NEG
DNA-PK KO4.raw
FILES
RAW_FILES
NEG
QC1.raw
FILES
RAW_FILES
NEG
QC2.raw
FILES
RAW_FILES
NEG
QC3.raw
FILES
RAW_FILES
NEG
QC4.raw
FILES
RAW_FILES
NEG
QC5.raw
FILES
RAW_FILES
NEG
WT UUO1.raw
FILES
RAW_FILES
NEG
WT UUO2.raw
FILES
RAW_FILES
NEG
WT UUO3.raw
FILES
RAW_FILES
NEG
WT UUO4.raw
FILES
RAW_FILES
NEG
WT1.raw
FILES
RAW_FILES
NEG
WT2.raw
FILES
RAW_FILES
NEG
WT3.raw
FILES
RAW_FILES
NEG
WT4.raw
FILES
RAW_FILES
POS
DNA-PK KO UUO pos1.raw
FILES
RAW_FILES
POS
DNA-PK KO UUO pos2.raw
FILES
RAW_FILES
POS
DNA-PK KO UUO pos3.raw
FILES
RAW_FILES
POS
DNA-PK KO UUO pos4.raw
FILES
RAW_FILES
POS
DNA-PK KO pos1.raw
FILES
RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1050/1662 [2:08:46<2:08:26, 12.59s/it]
 63%|██████▎   | 1051/1662 [2:08:46<1:32:19,  9.07s/it]
POS
DNA-PK KO pos2.raw
FILES
RAW_FILES
POS
DNA-PK KO pos3.raw
FILES
RAW_FILES
POS
DNA-PK KO pos4.raw
FILES
RAW_FILES
POS
QC1.raw
FILES
RAW_FILES
POS
QC2.raw
FILES
RAW_FILES
POS
QC3.raw
FILES
RAW_FILES
POS
QC4.raw
FILES
RAW_FILES
POS
QC5.raw
FILES
RAW_FILES
POS
WT UUO pos1.raw
FILES
RAW_FILES
POS
WT UUO pos2.raw
FILES
RAW_FILES
POS
WT UUO pos3.raw
FILES
RAW_FILES
POS
WT UUO pos4.raw
FILES
RAW_FILES
POS
WT pos1.raw
FILES
RAW_FILES
POS
WT pos2.raw
FILES
RAW_FILES
POS
WT pos3.raw
FILES
RAW_FILES
POS
WT pos4.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS685
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6863
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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00_STD_20t5_S01.wiff/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 50
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS687
Request successful!
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20151026-14SN521.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 63%|██████▎   | 1053/1662 [2:09:07<1:43:28, 10.19s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS689
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Returning 111 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS691
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▎   | 1056/1662 [2:09:23<1:14:57,  7.42s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▎   | 1057/1662 [2:09:28<1:05:33,  6.50s/it]
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Returning 111 rows!
Added 111 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS692
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Returning 53 rows!
Added 53 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6927
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
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HFX3_CN1_FZTM190600523-1A.raw
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▎   | 1058/1662 [2:09:31<56:02,  5.57s/it]  
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Skin color
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS693
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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M82_R6_fruit_2001.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 64%|██████▎   | 1059/1662 [2:09:51<1:39:12,  9.87s/it]
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Column type
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_genotype
IGNORED:  Samples_tissue
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_season
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 999 rows!
Added 999 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS694
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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PipelineTesting_RPOS_ToF10_B1SRD92.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Dilution
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 12
Returning 201 rows!
Added 201 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS696
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_AOAA_1.raw
FILES
180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_AOAA_2.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_Control_1.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_Control_2.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_Control_3.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_HP_1.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_HP_2.raw
FILES
180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_HP_3.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_HPplusAOAA_1.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_HPplusAOAA_2.raw
FILES
180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp1_HPplusAOAA_3.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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FILES
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_AOAA_3.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_Control_1.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_Control_2.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_Control_3.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_HP_1.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_HP_2.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_HP_3.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_HPplusAOAA_2.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Exp2_HPplusAOAA_3.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Pool_Inj2.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Pool_inj16.raw
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180126_ESR_Wilson_AlainRepeat_MurineCellPellet_Pool_inj9.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Technical Replicate
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Treated
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Biological Replicate
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Infected
Number of rows removed due to not enough metadata: 0
Returning 26 rows!
Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS697
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Method 2
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Method 2
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▍   | 1062/1662 [2:10:09<1:14:40,  7.47s/it]
 64%|██████▍   | 1063/1662 [2:10:10<55:08,  5.52s/it]  
 64%|██████▍   | 1064/1662 [2:10:11<40:54,  4.10s/it]
 64%|██████▍   | 1065/1662 [2:10:12<30:58,  3.11s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▍   | 1066/1662 [2:10:19<42:49,  4.31s/it]
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Number of rows removed due to not enough metadata: 0
Returning 156 rows!
Added 156 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6212
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS698
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6982
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS699
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus IV: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Added 143 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6249
Request successful!
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C11.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_ESRD status
IGNORED:  Samples_Dialysis frequency
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▍   | 1069/1662 [2:10:48<1:28:41,  8.97s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▍   | 1070/1662 [2:10:52<1:15:15,  7.63s/it]
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_BMI
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_eGFR
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Urea
IGNORED:  Samples_Term Source REF.3
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IGNORED:  Samples_Term Accession Number.10
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
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IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Creatinine
Number of rows removed due to not enough metadata: 0
Returning 865 rows!
Added 865 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6279
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
RAW_FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Phenotype
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 78 rows!
Added 78 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS701
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 64%|██████▍   | 1071/1662 [2:10:57<1:06:43,  6.77s/it]
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
150702_PMA_SZ_BM_ddMS2_neg.mzXML
FILES
150702_PMA_SZ_B_ddMS2_neg.mzXML
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Is Descendant
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IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_A9
IGNORED:  Samples_B2
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Samples_Chemotype
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Samples_Origin
IGNORED:  Samples_B5
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Variety
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 1
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS702
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_06.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_08.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_10.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_17.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_19.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_20.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_21.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_26.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_28.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_29.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_30.mzML
FILES
Method 1
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FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA1_36.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_05.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_06.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_10.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_12.mzML
FILES
Method 1
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FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_18.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_19.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_21.mzML
FILES
Method 1
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FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_25.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_26.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_29.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_31.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_33.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_35.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA2_36.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_04.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_06.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_12.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_16.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_17.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_23.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_24.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_28.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_29.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_34.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_35.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_36.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA3_40.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_04.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_05.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_07.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_10.mzML
FILES
Method 1
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FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_17.mzML
FILES
Method 1
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FILES
Method 1
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FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_20.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_24.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_25.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_27.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_30.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_31.mzML
FILES
Method 1
QXA07POSEAR20200331_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA4_33.mzML
FILES
Method 1
QXA07POSEAR20200401_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA5_07.mzML
FILES
Method 1
QXA07POSEAR20200401_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA5_10.mzML
FILES
Method 1
QXA07POSEAR20200401_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA5_12.mzML
FILES
Method 1
QXA07POSEAR20200401_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA5_14.mzML
FILES
Method 1
QXA07POSEAR20200401_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA5_15.mzML
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Method 4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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QXA06POL20200401_UNPA0420PHML_HUMAN_MUCOSAL_EPITHELIA8_40.mzML
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_PTB
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
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IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
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IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Race
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 500 rows!
Added 500 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6331
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS703
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Cobalamin
IGNORED:  Samples_Light
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS705
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS706
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_carbon source
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_gentotype
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Sample Name
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IGNORED:  Samples_Organism part
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 6
Returning 26 rows!
Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS707
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Mass analyzer/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 65%|██████▍   | 1077/1662 [2:11:40<1:13:13,  7.51s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▍   | 1078/1662 [2:11:45<1:06:50,  6.87s/it]
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Site
IGNORED:  Samples_Habitat
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 397 rows!
Added 397 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS708
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
161024_Smp_LB12HL_AB_neg.mzXML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Ion source
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IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6511
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Orbitrap ID-X Tribrid: missing value
UBERONBodyPartName:
  : missing value
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  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_GolgiTAG status
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Biospecimen
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
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IGNORED:  Samples_SLC35A2 Gene status
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 133 rows!
Added 133 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6516
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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B01_P.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS709
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  micrOTOF-Q: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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pos_27_spring_Marpol_27_1-D,3_01_17306.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1081/1662 [2:12:10<1:20:43,  8.34s/it]
FILES
pos_27_summer_Marpol_27_1-D,3_01_17202.mzML
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Samples_Sexual reproduction frequency
IGNORED:  Samples_Ellenberg Continentality index
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Samples_Term Accession Number.22
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 42
Returning 84 rows!
Added 84 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS71
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
ConstantVolume_NT_1_1.CDF
FILES
ConstantVolume_NT_1_2.CDF
FILES
ConstantVolume_NT_1_3.CDF
FILES
ConstantVolume_NT_2_1.CDF
FILES
ConstantVolume_NT_2_2.CDF
FILES
ConstantVolume_NT_2_3.CDF
FILES
ConstantVolume_NT_3_1.CDF
FILES
ConstantVolume_NT_3_2.CDF
FILES
ConstantVolume_NT_3_3.CDF
FILES
ConstantVolume_NT_4_1.CDF
FILES
ConstantVolume_NT_4_2.CDF
FILES
ConstantVolume_NT_4_3.CDF
FILES
ConstantVolume_NT_5_1.CDF
FILES
ConstantVolume_NT_5_2.CDF
FILES
ConstantVolume_NT_5_3.CDF
FILES
ConstantVolume_UT_1_1.CDF
FILES
ConstantVolume_UT_1_2.CDF
FILES
ConstantVolume_UT_1_3.CDF
FILES
ConstantVolume_UT_2_1.CDF
FILES
ConstantVolume_UT_2_2.CDF
FILES
ConstantVolume_UT_2_3.CDF
FILES
ConstantVolume_UT_3_1.CDF
FILES
ConstantVolume_UT_3_2.CDF
FILES
ConstantVolume_UT_3_3.CDF
FILES
ConstantVolume_UT_4_1.CDF
FILES
ConstantVolume_UT_4_2.CDF
FILES
ConstantVolume_UT_4_3.CDF
FILES
ConstantVolume_UT_5_1.CDF
FILES
ConstantVolume_UT_5_2.CDF
FILES
ConstantVolume_UT_5_3.CDF
FILES
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FILES
ConstantVolume_WT_1_2.CDF
FILES
ConstantVolume_WT_1_3.CDF
FILES
ConstantVolume_WT_2_1.CDF
FILES
ConstantVolume_WT_2_2.CDF
FILES
ConstantVolume_WT_2_3.CDF
FILES
ConstantVolume_WT_3_1.CDF
FILES
ConstantVolume_WT_3_2.CDF
FILES
ConstantVolume_WT_3_3.CDF
FILES
ConstantVolume_WT_4_1.CDF
FILES
ConstantVolume_WT_4_2.CDF
FILES
ConstantVolume_WT_4_3.CDF
FILES
ConstantVolume_WT_5_1.CDF
FILES
ConstantVolume_WT_5_2.CDF
FILES
ConstantVolume_WT_5_3.CDF
FILES
MaleVsFemale_NT_Female_Asian_23_BRH600227_A.CDF
FILES
MaleVsFemale_NT_Female_Asian_23_BRH600227_B.CDF
FILES
MaleVsFemale_NT_Female_Asian_24_BRH600219_C.CDF
FILES
MaleVsFemale_NT_Female_Asian_24_BRH600219_D.CDF
FILES
MaleVsFemale_NT_Female_Black_24_BRH600216_A.CDF
FILES
MaleVsFemale_NT_Female_Black_24_BRH600216_B.CDF
FILES
MaleVsFemale_NT_Female_Black_24_BRH600226_C.CDF
FILES
MaleVsFemale_NT_Female_Black_24_BRH600226_D.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_22_BRH600221_C.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_22_BRH600221_D.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600213_C.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600213_D.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600214_A.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600214_B.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600218_A.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600218_B.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600224_C.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600224_D.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600225_C.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600225_D.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600228_A.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_23_BRH600228_B.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_24_BRH600211_A.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_24_BRH600211_B.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_24_BRH600215_C.CDF
FILES
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FILES
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FILES
MaleVsFemale_NT_Female_Caucasian_24_BRH600217_D.CDF
FILES
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FILES
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FILES
MaleVsFemale_NT_Female_Caucasian_24_BRH600229_A.CDF
FILES
MaleVsFemale_NT_Female_Caucasian_24_BRH600229_B.CDF
FILES
MaleVsFemale_NT_Female_Hispanic_23_BRH600210_A.CDF
FILES
MaleVsFemale_NT_Female_Hispanic_23_BRH600210_B.CDF
FILES
MaleVsFemale_NT_Female_Hispanic_23_BRH600212_C.CDF
FILES
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FILES
MaleVsFemale_NT_Female_Hispanic_24_BRH600220_A.CDF
FILES
MaleVsFemale_NT_Female_Hispanic_24_BRH600220_B.CDF
FILES
MaleVsFemale_NT_Female_Hispanic_24_BRH600222_C.CDF
FILES
MaleVsFemale_NT_Female_Hispanic_24_BRH600222_D.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_20_BRH600193_A.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_20_BRH600193_B.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_20_BRH600196_A.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_20_BRH600196_B.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600192_A.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600192_B.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600197_C.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600197_D.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600201_A.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600201_B.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600202_C.CDF
FILES
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FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600204_C.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_21_BRH600204_D.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600190_A.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600190_B.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600194_C.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600194_D.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600198_A.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600198_B.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600199_C.CDF
FILES
MaleVsFemale_NT_Male_Caucasian_22_BRH600199_D.CDF
FILES
MaleVsFemale_NT_Male_Hispanic_20_BRH600206_C.CDF
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MaleVsFemale_NT_Male_Hispanic_20_BRH600206_D.CDF
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MaleVsFemale_NT_Male_Hispanic_20_BRH600207_C.CDF
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MaleVsFemale_NT_Male_Hispanic_20_BRH600207_D.CDF
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MaleVsFemale_NT_Male_Hispanic_20_BRH600208_C.CDF
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MaleVsFemale_NT_Male_Hispanic_20_BRH600208_D.CDF
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MaleVsFemale_NT_Male_Hispanic_21_BRH600191_A.CDF
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MaleVsFemale_NT_Male_Hispanic_21_BRH600205_B.CDF
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MaleVsFemale_NT_Male_Hispanic_21_BRH600209_C.CDF
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MaleVsFemale_NT_Male_Hispanic_21_BRH600209_D.CDF
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MaleVsFemale_NT_Male_Hispanic_22_BRH600195_C.CDF
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MaleVsFemale_NT_Male_Hispanic_22_BRH600195_D.CDF
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MaleVsFemale_NT_Male_Hispanic_22_BRH600200_A.CDF
FILES
MaleVsFemale_NT_Male_Hispanic_22_BRH600200_B.CDF
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MaleVsFemale_NT_Male_Hispanic_22_BRH600203_A.CDF
FILES
MaleVsFemale_NT_Male_Hispanic_22_BRH600203_B.CDF
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MaleVsFemale_UT_Female_Asian_23_BRH600227_A.CDF
FILES
MaleVsFemale_UT_Female_Asian_23_BRH600227_B.CDF
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MaleVsFemale_UT_Female_Asian_24_BRH600219_C.CDF
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MaleVsFemale_UT_Female_Asian_24_BRH600219_D.CDF
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MaleVsFemale_UT_Female_Black_24_BRH600216_A.CDF
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MaleVsFemale_UT_Female_Black_24_BRH600216_B.CDF
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MaleVsFemale_UT_Female_Black_24_BRH600226_C.CDF
FILES
MaleVsFemale_UT_Female_Black_24_BRH600226_D.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_22_BRH600221_C.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_22_BRH600221_D.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600213_C.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600213_D.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600214_A.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600214_B.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600218_A.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600218_B.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600224_C.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600224_D.CDF
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MaleVsFemale_UT_Female_Caucasian_23_BRH600225_C.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600225_D.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600228_A.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_23_BRH600228_B.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_24_BRH600211_A.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_24_BRH600211_B.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_24_BRH600215_C.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_24_BRH600215_D.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_24_BRH600217_C.CDF
FILES
MaleVsFemale_UT_Female_Caucasian_24_BRH600217_D.CDF
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MaleVsFemale_UT_Female_Caucasian_24_BRH600223_A.CDF
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MaleVsFemale_UT_Female_Caucasian_24_BRH600223_B.CDF
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MaleVsFemale_UT_Female_Caucasian_24_BRH600229_A.CDF
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MaleVsFemale_UT_Female_Caucasian_24_BRH600229_B.CDF
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MaleVsFemale_UT_Female_Hispanic_23_BRH600210_A.CDF
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MaleVsFemale_UT_Female_Hispanic_23_BRH600210_B.CDF
FILES
MaleVsFemale_UT_Female_Hispanic_23_BRH600212_C.CDF
FILES
MaleVsFemale_UT_Female_Hispanic_23_BRH600212_D.CDF
FILES
MaleVsFemale_UT_Female_Hispanic_24_BRH600220_A.CDF
FILES
MaleVsFemale_UT_Female_Hispanic_24_BRH600220_B.CDF
FILES
MaleVsFemale_UT_Female_Hispanic_24_BRH600222_C.CDF
FILES
MaleVsFemale_UT_Female_Hispanic_24_BRH600222_D.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_20_BRH600193_A.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_20_BRH600193_B.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_20_BRH600196_A.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_20_BRH600196_B.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600192_A.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600192_B.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600197_C.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600197_D.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600201_A.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600201_B.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600202_C.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600202_D.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600204_C.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_21_BRH600204_D.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600190_A.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600190_B.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600194_C.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600194_D.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600198_A.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600198_B.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600199_C.CDF
FILES
MaleVsFemale_UT_Male_Caucasian_22_BRH600199_D.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_20_BRH600206_C.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_20_BRH600206_D.CDF
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MaleVsFemale_UT_Male_Hispanic_20_BRH600207_C.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_20_BRH600207_D.CDF
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MaleVsFemale_UT_Male_Hispanic_20_BRH600208_C.CDF
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MaleVsFemale_UT_Male_Hispanic_20_BRH600208_D.CDF
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MaleVsFemale_UT_Male_Hispanic_21_BRH600191_A.CDF
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MaleVsFemale_UT_Male_Hispanic_21_BRH600191_B.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_21_BRH600205_A.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1082/1662 [2:12:17<1:17:19,  8.00s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1083/1662 [2:12:22<1:08:23,  7.09s/it]
FILES
MaleVsFemale_UT_Male_Hispanic_21_BRH600205_B.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_21_BRH600209_C.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_21_BRH600209_D.CDF
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MaleVsFemale_UT_Male_Hispanic_22_BRH600195_C.CDF
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MaleVsFemale_UT_Male_Hispanic_22_BRH600195_D.CDF
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MaleVsFemale_UT_Male_Hispanic_22_BRH600200_A.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_22_BRH600200_B.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_22_BRH600203_A.CDF
FILES
MaleVsFemale_UT_Male_Hispanic_22_BRH600203_B.CDF
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VaryingVolume_NT_100uL_1.CDF
FILES
VaryingVolume_NT_100uL_2.CDF
FILES
VaryingVolume_NT_100uL_3.CDF
FILES
VaryingVolume_NT_10uL_1.CDF
FILES
VaryingVolume_NT_10uL_2.CDF
FILES
VaryingVolume_NT_10uL_3.CDF
FILES
VaryingVolume_NT_25uL_1.CDF
FILES
VaryingVolume_NT_25uL_2.CDF
FILES
VaryingVolume_NT_25uL_3.CDF
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VaryingVolume_NT_50uL_1.CDF
FILES
VaryingVolume_NT_50uL_2.CDF
FILES
VaryingVolume_NT_50uL_3.CDF
FILES
VaryingVolume_NT_5uL_1.CDF
FILES
VaryingVolume_NT_5uL_2.CDF
FILES
VaryingVolume_NT_5uL_3.CDF
FILES
VaryingVolume_UT_100uL_1.CDF
FILES
VaryingVolume_UT_100uL_2.CDF
FILES
VaryingVolume_UT_100uL_3.CDF
FILES
VaryingVolume_UT_10uL_1.CDF
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VaryingVolume_UT_10uL_2.CDF
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VaryingVolume_UT_25uL_1.CDF
FILES
VaryingVolume_UT_25uL_2.CDF
FILES
VaryingVolume_UT_25uL_3.CDF
FILES
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FILES
VaryingVolume_UT_50uL_2.CDF
FILES
VaryingVolume_UT_50uL_3.CDF
FILES
VaryingVolume_UT_5uL_1.CDF
FILES
VaryingVolume_UT_5uL_2.CDF
FILES
VaryingVolume_UT_5uL_3.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_sample treatment protocol
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 235 rows!
Added 235 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS710
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QE1_REP_34_QC1_02.raw
FILES
QE1_REP_34_QC1_14.raw
FILES
QE1_REP_34_QC1_26.raw
FILES
QE1_REP_34_QC1_28.raw
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QE1_REP_34_QC2_47.raw
FILES
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FILES
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FILES
QE1_REP_34_QC3_01.raw
FILES
QE1_REP_34_QC3_01b.raw
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QE1_REP_34_QC3_30.raw
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QE1_REP_34_QC3_34.raw
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QE1_REP_34_QC3_49.raw
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FILES
QE1_REP_34_blank_01.raw
FILES
QE1_REP_34_blank_01c.raw
FILES
QE1_REP_34_blank_13.raw
FILES
QE1_REP_34_blank_25.raw
FILES
QE1_REP_34_blank_31.raw
FILES
QE1_REP_34_blank_50.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Sample
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7127
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  LECO Pegasus 4D: missing value
  Thermo Scientific Orbitrap Elite: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
GCMS
B1_S5.mzML
FILES
DERIVED_FILES
GCMS
B2_S5.mzML
FILES
DERIVED_FILES
GCMS
Ctrl_1_S5.mzML
FILES
DERIVED_FILES
GCMS
Ctrl_2_S5.mzML
FILES
DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1084/1662 [2:12:27<1:01:37,  6.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1085/1662 [2:12:31<55:27,  5.77s/it]  
GCMS
Ctrl_3_S5.mzML
FILES
DERIVED_FILES
GCMS
Ctrl_4_S5.mzML
FILES
DERIVED_FILES
GCMS
LPSNbn_1_S5.mzML
FILES
DERIVED_FILES
GCMS
LPSNbn_2_S5.mzML
FILES
DERIVED_FILES
GCMS
LPSNbn_3_S5.mzML
FILES
DERIVED_FILES
GCMS
LPSNbn_4_S5.mzML
FILES
DERIVED_FILES
GCMS
LPS_1_S5.mzML
FILES
DERIVED_FILES
GCMS
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FILES
DERIVED_FILES
GCMS
LPS_3_S5.mzML
FILES
DERIVED_FILES
GCMS
LPS_4_S5.mzML
FILES
DERIVED_FILES
GCMS
QC10_S5.mzML
FILES
DERIVED_FILES
GCMS
QC20_S5.mzML
FILES
RAW_FILES
LCMS
Ctrl01.raw
FILES
RAW_FILES
LCMS
Ctrl02.raw
FILES
RAW_FILES
LCMS
Ctrl03.raw
FILES
RAW_FILES
LCMS
Ctrl04.raw
FILES
RAW_FILES
LCMS
LPS01.raw
FILES
RAW_FILES
LCMS
LPS02.raw
FILES
RAW_FILES
LCMS
LPS03.raw
FILES
RAW_FILES
LCMS
LPS04.raw
FILES
RAW_FILES
LCMS
LPSNbn01.raw
FILES
RAW_FILES
LCMS
LPSNbn02.raw
FILES
RAW_FILES
LCMS
LPSNbn03.raw
FILES
RAW_FILES
LCMS
LPSNbn04.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Split rate
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6603
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
5E1.mzXML
FILES
DERIVED_FILES
NEG
5E2.mzXML
FILES
DERIVED_FILES
NEG
5E3.mzXML
FILES
DERIVED_FILES
NEG
5E4.mzXML
FILES
DERIVED_FILES
NEG
5E5.mzXML
FILES
DERIVED_FILES
NEG
5E6.mzXML
FILES
DERIVED_FILES
NEG
5S1.mzXML
FILES
DERIVED_FILES
NEG
5S2.mzXML
FILES
DERIVED_FILES
NEG
5S3.mzXML
FILES
DERIVED_FILES
NEG
5S4.mzXML
FILES
DERIVED_FILES
NEG
5S5.mzXML
FILES
DERIVED_FILES
NEG
5S6.mzXML
FILES
DERIVED_FILES
NEG
9E1.mzXML
FILES
DERIVED_FILES
NEG
9E2.mzXML
FILES
DERIVED_FILES
NEG
9E3.mzXML
FILES
DERIVED_FILES
NEG
9E4.mzXML
FILES
DERIVED_FILES
NEG
9E5.mzXML
FILES
DERIVED_FILES
NEG
9E6.mzXML
FILES
DERIVED_FILES
NEG
9S1.mzXML
FILES
DERIVED_FILES
NEG
9S2.mzXML
FILES
DERIVED_FILES
NEG
9S3.mzXML
FILES
DERIVED_FILES
NEG
9S4.mzXML
FILES
DERIVED_FILES
NEG
9S5.mzXML
FILES
DERIVED_FILES
NEG
9S6.mzXML
FILES
DERIVED_FILES
NEG
QC01.mzXML
FILES
DERIVED_FILES
NEG
QC02.mzXML
FILES
DERIVED_FILES
NEG
QC03.mzXML
FILES
DERIVED_FILES
NEG
QC04.mzXML
FILES
DERIVED_FILES
POS
5E1.mzXML
FILES
DERIVED_FILES
POS
5E2.mzXML
FILES
DERIVED_FILES
POS
5E3.mzXML
FILES
DERIVED_FILES
POS
5E4.mzXML
FILES
DERIVED_FILES
POS
5E5.mzXML
FILES
DERIVED_FILES
POS
5E6.mzXML
FILES
DERIVED_FILES
POS
5S1.mzXML
FILES
DERIVED_FILES
POS
5S2.mzXML
FILES
DERIVED_FILES
POS
5S3.mzXML
FILES
DERIVED_FILES
POS
5S4.mzXML
FILES
DERIVED_FILES
POS
5S5.mzXML
FILES
DERIVED_FILES
POS
5S6.mzXML
FILES
DERIVED_FILES
POS
9E1.mzXML
FILES
DERIVED_FILES
POS
9E2.mzXML
FILES
DERIVED_FILES
POS
9E3.mzXML
FILES
DERIVED_FILES
POS
9E4.mzXML
FILES
DERIVED_FILES
POS
9E5.mzXML
FILES
DERIVED_FILES
POS
9E6.mzXML
FILES
DERIVED_FILES
POS
9S1.mzXML
FILES
DERIVED_FILES
POS
9S2.mzXML
FILES
DERIVED_FILES
POS
9S3.mzXML
FILES
DERIVED_FILES
POS
9S4.mzXML
FILES
DERIVED_FILES
POS
9S5.mzXML
FILES
DERIVED_FILES
POS
9S6.mzXML
FILES
DERIVED_FILES
POS
QC01.mzXML
FILES
DERIVED_FILES
POS
QC02.mzXML
FILES
DERIVED_FILES
POS
QC03.mzXML
FILES
DERIVED_FILES
POS
QC04.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Collection timepoint
Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6667
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
Negative
B11_10_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_10_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_12_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_12_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_14_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_14_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_15_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_15_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_16_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_16_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_1_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_1_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_2_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_2_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_3_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_3_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_4_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_4_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_6_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_6_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_7_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_7_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_8_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_8_cells.mzXML
FILES
DERIVED_FILES
Negative
B11_9_SN.mzXML
FILES
DERIVED_FILES
Negative
B11_9_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_11_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_11_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_13_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_13_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_14_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_14_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_15_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_15_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_1_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_1_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_2_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_2_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_3_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_3_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_4_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_4_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_5_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_5_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_6_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_6_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_7_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_7_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_8_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_8_cells.mzXML
FILES
DERIVED_FILES
Negative
B12_9_SN.mzXML
FILES
DERIVED_FILES
Negative
B12_9_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_11_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_11_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_12_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_12_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_13_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_13_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_14_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_14_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_1_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_1_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_2_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_2_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_3_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_3_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_4_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_4_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_5_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_5_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_6_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_6_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_7_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_7_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_8_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_8_cells.mzXML
FILES
DERIVED_FILES
Negative
B13_9_SN.mzXML
FILES
DERIVED_FILES
Negative
B13_9_cells.mzXML
FILES
DERIVED_FILES
Negative
QCA1_20MAY19.mzXML
FILES
DERIVED_FILES
Negative
QCA2_20MAY19.mzXML
FILES
DERIVED_FILES
Negative
QCB1_20MAY19.mzXML
FILES
DERIVED_FILES
Negative
QCB2_20MAY19.mzXML
FILES
DERIVED_FILES
Negative
blank1.mzXML
FILES
DERIVED_FILES
Negative
blank2.mzXML
FILES
DERIVED_FILES
Negative
blank3.mzXML
FILES
DERIVED_FILES
Negative
blank4.mzXML
FILES
DERIVED_FILES
Negative
blank5.mzXML
FILES
DERIVED_FILES
Negative
blank6.mzXML
FILES
DERIVED_FILES
Negative
blank7.mzXML
FILES
DERIVED_FILES
Negative
matrix_blank1.mzXML
FILES
DERIVED_FILES
Negative
matrix_blank2.mzXML
FILES
DERIVED_FILES
Negative
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DERIVED_FILES
Negative
matrix_blank6.mzXML
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DERIVED_FILES
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pooled_1.mzXML
FILES
DERIVED_FILES
Negative
pooled_10.mzXML
FILES
DERIVED_FILES
Negative
pooled_11.mzXML
FILES
DERIVED_FILES
Negative
pooled_12.mzXML
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DERIVED_FILES
Negative
pooled_13.mzXML
FILES
DERIVED_FILES
Negative
pooled_14.mzXML
FILES
DERIVED_FILES
Negative
pooled_15.mzXML
FILES
DERIVED_FILES
Negative
pooled_16.mzXML
FILES
DERIVED_FILES
Negative
pooled_17.mzXML
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DERIVED_FILES
Negative
pooled_18.mzXML
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DERIVED_FILES
Negative
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DERIVED_FILES
Negative
pooled_2.mzXML
FILES
DERIVED_FILES
Negative
pooled_20.mzXML
FILES
DERIVED_FILES
Negative
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DERIVED_FILES
Negative
pooled_22.mzXML
FILES
DERIVED_FILES
Negative
pooled_23.mzXML
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DERIVED_FILES
Negative
pooled_24.mzXML
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DERIVED_FILES
Negative
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DERIVED_FILES
Negative
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DERIVED_FILES
Negative
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DERIVED_FILES
Negative
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DERIVED_FILES
Negative
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DERIVED_FILES
Negative
pooled_4.mzXML
FILES
DERIVED_FILES
Negative
pooled_5.mzXML
FILES
DERIVED_FILES
Negative
pooled_6.mzXML
FILES
DERIVED_FILES
Negative
pooled_7.mzXML
FILES
DERIVED_FILES
Negative
pooled_8.mzXML
FILES
DERIVED_FILES
Negative
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DERIVED_FILES
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DERIVED_FILES
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1086/1662 [2:12:38<57:11,  5.96s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 65%|██████▌   | 1087/1662 [2:12:41<50:32,  5.27s/it]
 65%|██████▌   | 1088/1662 [2:12:43<39:33,  4.13s/it]
 66%|██████▌   | 1089/1662 [2:12:44<29:58,  3.14s/it]
 66%|██████▌   | 1090/1662 [2:12:45<23:32,  2.47s/it]
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Number of rows removed due to not enough metadata: 0
Returning 125 rows!
Added 125 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS67
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS716
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6732
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6739
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7181
Request successful!
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 428 rows!
Added 428 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6758
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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HFX3_497960_CN_QC_ddMS2-114-610.mzML
FILES
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HFX5_CN1_FZTM200025990-1A.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 66%|██████▌   | 1092/1662 [2:12:58<43:06,  4.54s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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HFX3_497960_CP_QC1.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 49 rows!
Added 49 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6760
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
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  nan: missing value
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FILES
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20210902_08_Pos_EBC.raw
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20220108_02_Pos_Glutamine10000x.raw
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20220108_12_Pos_AspAcid100x.raw
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IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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Number of rows removed due to not enough metadata: 6
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6767
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
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  nan: missing value
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NEGCHP1.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 174 rows!
Added 174 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS719
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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ALZ_RPOS_ToF04_U8W82.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 66%|██████▌   | 1095/1662 [2:14:04<3:05:16, 19.61s/it]
 66%|██████▌   | 1096/1662 [2:14:06<2:13:47, 14.18s/it]
 66%|██████▌   | 1097/1662 [2:14:06<1:35:41, 10.16s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 66%|██████▌   | 1098/1662 [2:14:11<1:20:20,  8.55s/it]
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS72
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS720
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS721
Request successful!
SampleCollectionMethod: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 49 rows!
Added 49 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS722
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 66%|██████▌   | 1099/1662 [2:14:41<2:19:14, 14.84s/it]
MassSpectrometer:
  Thermo Scientific Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 59 rows!
Added 59 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6844
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX Triple Quad 5500+ QTRAP Ready: missing value
UBERONBodyPartName:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 14
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6847
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS686
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
Method 1
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IGNORED:  Assay_Metabolite Assignment File/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 66%|██████▋   | 1102/1662 [2:14:57<1:19:23,  8.51s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS723
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6890
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS724
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6900
Request successful!
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 79 rows!
Added 79 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6965
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6968
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Protocol REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1108/1662 [2:15:13<33:09,  3.59s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1109/1662 [2:15:17<34:50,  3.78s/it]
IGNORED:  Assay_Column type
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Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS726
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 67 rows!
Added 67 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6988
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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QC_ID_9.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1110/1662 [2:15:23<42:17,  4.60s/it]
FILES
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Number of rows removed due to not enough metadata: 0
Returning 81 rows!
Added 81 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7006
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Mass analyzer/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1111/1662 [2:15:28<41:29,  4.52s/it]
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IGNORED:  Is Descendant
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Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS727
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS729
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS73
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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qiita_sample_name: ADDED!
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ENVOEnvironmentMaterial:
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1114/1662 [2:15:41<49:21,  5.40s/it]
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Cultivars
IGNORED:  Assay_Column model
IGNORED:  Assay_Acquisition date
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Sample Time
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 25
Returning 354 rows!
Added 354 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS730
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_04.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_07.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_10.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_12.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_15.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_16.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_17.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_18.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_19.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_20.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_21.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_25.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_27.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_31.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_32.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_36.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_37.mzML
FILES
Method 1
QXA23POSEAR20201117_SRSI0120MD_MOUSE_TUMOR_42.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_04.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_07.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_10.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_12.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_15.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_16.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_17.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_18.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_19.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_20.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_21.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_25.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_27.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_31.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_32.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_36.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_37.mzML
FILES
Method 2
QXA23POSLAT20201117_SRSI0120MD_MOUSE_TUMOR_42.mzML
FILES
Method 3
QXA22NEG20201117_SRSI0120MD_MOUSE_TUMOR_04.mzML
FILES
Method 3
QXA22NEG20201117_SRSI0120MD_MOUSE_TUMOR_07.mzML
FILES
Method 3
QXA22NEG20201117_SRSI0120MD_MOUSE_TUMOR_10.mzML
FILES
Method 3
QXA22NEG20201117_SRSI0120MD_MOUSE_TUMOR_12.mzML
FILES
Method 3
QXA22NEG20201117_SRSI0120MD_MOUSE_TUMOR_15.mzML
FILES
Method 3
QXA22NEG20201117_SRSI0120MD_MOUSE_TUMOR_16.mzML
FILES
Method 3
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1115/1662 [2:15:48<51:46,  5.68s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1116/1662 [2:15:51<46:46,  5.14s/it]
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Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7328
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS733
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1117/1662 [2:15:55<41:48,  4.60s/it]
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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SB2.raw
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SB4.raw
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Number of rows removed due to not enough metadata: 0
Returning 10 rows!
Added 10 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7337
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
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MassSpectrometer:
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ChromatographyAndPhase:
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FILES
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FILES
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FILES
RAW_FILES
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FILES
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IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_Term Accession Number.26
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Term Source REF.29
IGNORED:  Samples_Night Sweats
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Term Accession Number.27
IGNORED:  Samples_Other
IGNORED:  Assay_Ion source
IGNORED:  Samples_Change in taste
IGNORED:  Samples_Unit.1
IGNORED:  Samples_Tachycardia
IGNORED:  Samples_Term Source REF.28
IGNORED:  Samples_Fatigue
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Samples_Term Source REF.16
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Source REF.35
IGNORED:  Samples_Term Source REF.26
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.18
IGNORED:  Samples_age
IGNORED:  Samples_All Gastrointestinal
IGNORED:  Samples_Term Accession Number.31
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Total SF-Yes2
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Disease severity
IGNORED:  Samples_Term Source REF.13
IGNORED:  Samples_Term Source REF.20
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.22
IGNORED:  Samples_Term Accession Number.28
IGNORED:  Samples_Term Accession Number.24
IGNORED:  Samples_Term Source REF.19
IGNORED:  Samples_Term Source REF.9
IGNORED:  Samples_All Cardiopulmonary
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Depression
IGNORED:  Samples_Term Accession Number.21
IGNORED:  Samples_Disease Staging
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Term Source REF.36
IGNORED:  Samples_Term Accession Number.32
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.34
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Term Source REF.18
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Accession Number.23
IGNORED:  Samples_Nausea
IGNORED:  Samples_Term Accession Number.20
IGNORED:  Samples_Term Source REF.24
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.19
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.25
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_All Neurological
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_EQ-VAS
IGNORED:  Samples_Term Source REF.34
IGNORED:  Samples_Term Accession Number.29
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Term Source REF.21
IGNORED:  Samples_Term Accession Number.30
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Cognitive dysfunction
IGNORED:  Samples_Systemic Symptoms
IGNORED:  Samples_Term Accession Number.16
IGNORED:  Samples_Outcome
IGNORED:  Samples_Palpitation
IGNORED:  Samples_Term Accession Number.35
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Accession Number.36
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Dry Cough
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.32
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.25
IGNORED:  Assay_Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 67%|██████▋   | 1118/1662 [2:16:00<43:52,  4.84s/it]
IGNORED:  Samples_Weakness
IGNORED:  Samples_Term Source REF.27
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.33
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Chills/Temperature Lability
IGNORED:  Samples_Change in smell
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Term Accession Number.33
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Samples_Diarrhea
IGNORED:  Assay_Sample Name
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Column model
IGNORED:  Samples_Ethnicity
IGNORED:  Samples_Runny nose
IGNORED:  Samples_Term Accession Number.22
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Abdominal Pain
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Insomnia
Number of rows removed due to not enough metadata: 0
Returning 17 rows!
Added 17 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS735
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G1 HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 486 rows!
Added 486 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS736
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 67%|██████▋   | 1120/1662 [2:16:15<51:26,  5.69s/it]  
 67%|██████▋   | 1121/1662 [2:16:16<38:41,  4.29s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
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Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS737
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS738
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker maXis impact UHR-QTOF: missing value
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FILES
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Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS739
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
GV_24092015_218_rep1.mzML
FILES
GV_24092015_219_rep1.mzML
FILES
GV_24092015_233_rep1.mzML
FILES
GV_25092015_204_rep1.mzML
FILES
GV_25092015_225_rep1.mzML
FILES
GV_26092015_217_rep1.mzML
FILES
GV_26092015_220_rep1.mzML
FILES
GV_26092015_222_rep1.mzML
FILES
GV_29092015_226_rep1.mzML
FILES
GV_29092015_227_rep1.mzML
FILES
GV_29092015_236_rep1.mzML
FILES
GV_30092015_205_rep1.mzML
FILES
GV_30092015_221_rep1.mzML
FILES
GV_30092015_228_rep1.mzML
FILES
GV_30092015_229_rep1.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 68%|██████▊   | 1123/1662 [2:16:23<35:57,  4.00s/it]
 68%|██████▊   | 1124/1662 [2:16:24<27:20,  3.05s/it]
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Shear stress
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7236
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7248
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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1-BM-glu-blank1_neg.mzML
FILES
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NEG
10-BM-glu-spentLr-iso3_neg.mzML
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11-BM-glu-Lr1_neg.mzML
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12-BM-glu-Lr2_neg.mzML
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14-BM-glu-spentiso-blank1_neg.mzML
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15-BM-glu-spentiso-blank2_neg.mzML
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16-BM-glu-spentiso-Lr1_neg.mzML
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17-BM-glu-spentiso-Lr2_neg.mzML
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18-BM-glu-spentiso-Lr3_neg.mzML
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2-BM-glu-blank2_neg.mzML
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20-Lr_spent2_neg.mzML
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22-iso_spent1_neg.mzML
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25-coc1_neg.mzML
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26-coc2_neg.mzML
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NEG
27-coc3_neg.mzML
FILES
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NEG
28-coc1-rep_neg.mzML
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NEG
29-coc2-rep_neg.mzML
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NEG
3-BM-glu-iso1_neg.mzML
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NEG
30-coc3-rep_neg.mzML
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NEG
31-coc3-rep_neg.mzML
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6-BM-glu-spentLr-blank1_neg.mzML
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7-BM-glu-spentLr-blank2_neg.mzML
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8-BM-glu-spentLr-iso1_neg.mzML
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9-BM-glu-spentLr-iso2_neg.mzML
FILES
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NEG
QC1-Top5_neg.mzML
FILES
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1-BM-glu-blank1_pos.mzML
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10-BM-glu-spentLr-iso3_pos.mzML
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POS
11-BM-glu-Lr1_pos.mzML
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12-BM-glu-Lr2_pos.mzML
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14-BM-glu-spentiso-blank1_pos.mzML
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15-BM-glu-spentiso-blank2_pos.mzML
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16-BM-glu-spentiso-Lr1_pos.mzML
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17-BM-glu-spentiso-Lr2_pos.mzML
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18-BM-glu-spentiso-Lr3_pos.mzML
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19-Lr_spent1_pos.mzML
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20-Lr_spent2_pos.mzML
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21-Lr_spent3_pos.mzML
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22-iso_spent1_pos.mzML
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23-iso_spent2_pos.mzML
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POS
24-iso_spent3_pos.mzML
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POS
25-coc1_pos.mzML
FILES
DERIVED_FILES
POS
26-coc2_pos.mzML
FILES
DERIVED_FILES
POS
27-coc3_pos.mzML
FILES
DERIVED_FILES
POS
28-coc1-rep_pos.mzML
FILES
DERIVED_FILES
POS
29-coc2-rep_pos.mzML
FILES
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POS
3-BM-glu-iso1_pos.mzML
FILES
DERIVED_FILES
POS
30-coc3-rep_pos.mzML
FILES
DERIVED_FILES
POS
31-coc3-rep_pos.mzML
FILES
DERIVED_FILES
POS
4-BM-glu-iso2_pos.mzML
FILES
DERIVED_FILES
POS
5-BM-glu-iso3_pos.mzML
FILES
DERIVED_FILES
POS
6-BM-glu-spentLr-blank1_pos.mzML
FILES
DERIVED_FILES
POS
7-BM-glu-spentLr-blank2_pos.mzML
FILES
DERIVED_FILES
POS
8-BM-glu-spentLr-iso1_pos.mzML
FILES
DERIVED_FILES
POS
9-BM-glu-spentLr-iso2_pos.mzML
FILES
DERIVED_FILES
POS
QC1-Top5_pos.mzML
FILES
DERIVED_FILES
POS
QC1_pos.mzML
FILES
DERIVED_FILES
POS
QC2-Top5_pos.mzML
FILES
DERIVED_FILES
POS
QC2_pos.mzML
FILES
DERIVED_FILES
POS
QC3-Top5_pos.mzML
FILES
DERIVED_FILES
POS
QC3_pos.mzML
FILES
DERIVED_FILES
POS
QC4_pos.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Condition
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 68%|██████▊   | 1125/1662 [2:16:31<37:57,  4.24s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 68%|██████▊   | 1126/1662 [2:16:34<35:32,  3.98s/it]
Number of rows removed due to not enough metadata: 50
Returning 26 rows!
Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7251
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6230 Accurate-Mass TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_05_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_06_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_11_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_12_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_17_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_18_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_23_d1.mzML
FILES
DERIVED_FILES
Anion
KEIO-2020-0085_Anion_24_d1.mzML
FILES
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Cation
KEIO-2020-0085_Cation_05.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_06.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_11.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_12.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_17.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_18.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_23.mzML
FILES
DERIVED_FILES
Cation
KEIO-2020-0085_Cation_24.mzML
IGNORED:  Samples_NAMPTi treatment
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Assay_CE Instrument
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Label
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Column type
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Cell line
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7252
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6230 Accurate-Mass TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
Anion
KEIO-2021-0080_Anion_01_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0080_Anion_03_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0080_Anion_23_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0080_Anion_24_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0080_Anion_26_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0080_Anion_27_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_01_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_02_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_03_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_04_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_05_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_06_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_07_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_08_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_09_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_10_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_11_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_12_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_13_d2.mzML
FILES
DERIVED_FILES
Anion
KEIO-2021-0121_Anion_14_d2.mzML
FILES
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
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See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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Number of rows removed due to not enough metadata: 0
Returning 102 rows!
Added 102 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS742
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS743
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7394
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SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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S_14_C18MSe_1.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 68%|██████▊   | 1133/1662 [2:16:59<34:53,  3.96s/it]
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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7429
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
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BQC_C6_03.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 68%|██████▊   | 1134/1662 [2:17:10<54:36,  6.20s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
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IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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IGNORED:  Samples_Term Source REF.9
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IGNORED:  keep
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IGNORED:  Samples_Term Source REF.3
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Number of rows removed due to not enough metadata: 4
Returning 211 rows!
Added 211 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS744
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
IonizationSourceAndPolarity:
   (positive): missing value
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 68%|██████▊   | 1135/1662 [2:17:14<48:10,  5.49s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 68%|██████▊   | 1136/1662 [2:17:18<43:28,  4.96s/it]
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IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Sample stabilisation
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Is Organ
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  Assay_MALDI matrix other
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Scan type
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_MALDI matrix application
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Target material
IGNORED:  Assay_Sample stabilisation other
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_MALDI matrix application other
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Sample Growth Conditions
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Sample Growth Conditions Other
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Tissue modification other
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Samples_Pipeline stage
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 2 rows!
Added 2 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS745
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
MB231_Arg-24h_TCA_AA_004.raw
FILES
MB231_Arg-24h_TCA_AA_005.raw
FILES
MB231_Arg-24h_TCA_AA_006.raw
FILES
MB231_Arg-48h_TCA_AA_007.raw
FILES
MB231_Arg-48h_TCA_AA_008.raw
FILES
MB231_Arg-48h_TCA_AA_009.raw
FILES
MB231_Ctrl_TCA_AA_001.raw
FILES
MB231_Ctrl_TCA_AA_002.raw
FILES
MB231_Ctrl_TCA_AA_003.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Duration
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 9 rows!
Added 9 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS746
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
MS18_15_11.mzML
FILES
MS18_19_13.mzML
FILES
MS18_31_10.mzML
FILES
MS18_41_05.mzML
FILES
MS18_54_11.mzML
FILES
MS18_60_22.mzML
FILES
MS18_61_11.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 68%|██████▊   | 1137/1662 [2:17:30<1:02:41,  7.16s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 68%|██████▊   | 1138/1662 [2:17:34<54:46,  6.27s/it]  
FILES
MS18_62_12.mzML
FILES
MS18_66_06.mzML
FILES
MS18_69_18.mzML
FILES
MS18_75_03.mzML
FILES
MS18_77_23.mzML
FILES
MS18_85_04.mzML
FILES
MS18_blank_2_02.mzML
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Depth
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Longitude
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Species
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Sampling site
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Cruise
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Undersea feature
IGNORED:  Assay_Column model
IGNORED:  Samples_Latitude
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 1
Returning 13 rows!
Added 13 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS748
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-QP2010 Ultra: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Kidney 10_10_023.CDF
FILES
Kidney 11_12_019.CDF
FILES
Kidney 12_13_009.CDF
FILES
Kidney 13_14_021.CDF
FILES
Kidney 14_15_028.CDF
FILES
Kidney 15_16_008.CDF
FILES
Kidney 16_17_018.CDF
FILES
Kidney 17_18_029.CDF
FILES
Kidney 18_19_014.CDF
FILES
Kidney 19_20_015.CDF
FILES
Kidney 1_1_005.CDF
FILES
Kidney 20_21_025.CDF
FILES
Kidney 21_22_024.CDF
FILES
Kidney 2_2_013.CDF
FILES
Kidney 3_3_006.CDF
FILES
Kidney 4_4_011.CDF
FILES
Kidney 5_5_004.CDF
FILES
Kidney 6_6_010.CDF
FILES
Kidney 7_7_026.CDF
FILES
Kidney 8_8_030.CDF
FILES
Kidney 9_9_020.CDF
FILES
Liver 10_9_015.CDF
FILES
Liver 11_11_016.CDF
FILES
Liver 12_17_019.CDF
FILES
Liver 13_3_020.CDF
FILES
Liver 14_19_021.CDF
FILES
Liver 15_5_023.CDF
FILES
Liver 16_20_024.CDF
FILES
Liver 17_4_025.CDF
FILES
Liver 18_12_026.CDF
FILES
Liver 19_14_028.CDF
FILES
Liver 1_15_004.CDF
FILES
Liver 20_1_029.CDF
FILES
Liver 21_18_030.CDF
FILES
Liver 2_6_005.CDF
FILES
Liver 3_21_006.CDF
FILES
Liver 4_2_008.CDF
FILES
Liver 5_10_009.CDF
FILES
Liver 6_8_010.CDF
FILES
Liver 7_13_011.CDF
FILES
Liver 8_7_013.CDF
FILES
Liver 9_16_014.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Biosample
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS749
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10_Rep1_NEG.mzML
FILES
10_Rep1_POS.mzML
FILES
10_Rep2_NEG.mzML
FILES
10_Rep2_POS.mzML
FILES
11_Rep1_NEG.mzML
FILES
11_Rep1_POS.mzML
FILES
11_Rep2_NEG.mzML
FILES
11_Rep2_POS.mzML
FILES
12_Rep1_NEG.mzML
FILES
12_Rep1_POS.mzML
FILES
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Blank_20_NEG.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Replicate
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Extract Name
IGNORED:  Assay_MS format
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Phenotype
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_MS format
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Phenotype
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 494 rows!
Added 494 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS750
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
IN-12052017-pHILIC-Muscle-360-WT-1.raw
FILES
IN-12052017-pHILIC-Muscle-361-WT-2.raw
FILES
IN-12052017-pHILIC-Muscle-364-KO-3.raw
FILES
IN-12052017-pHILIC-Muscle-365-KO-4.raw
FILES
IN-12052017-pHILIC-Muscle-366-KO-5.raw
FILES
IN-12052017-pHILIC-Muscle-381-KO-6.raw
FILES
IN-12052017-pHILIC-Muscle-382-WT-7.raw
FILES
IN-12052017-pHILIC-Muscle-383-KO-8.raw
FILES
IN-12052017-pHILIC-Muscle-384-KO-9.raw
FILES
IN-12052017-pHILIC-Muscle-385-KO-10.raw
FILES
IN-12052017-pHILIC-Muscle-386-WT-11.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▊   | 1140/1662 [2:17:50<58:23,  6.71s/it]  
 69%|██████▊   | 1141/1662 [2:17:51<43:01,  4.95s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▊   | 1142/1662 [2:17:57<45:44,  5.28s/it]
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 11 rows!
Added 11 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7508
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS751
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q-Exactive Orbitrap mass spectrometer (Thermo Fisher): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
P6-1-0.raw
FILES
P6-1-1-C.raw
FILES
P6-1-1-P.raw
FILES
P6-1-24-C.raw
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P6-1-24-P.raw
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P6-2-1-P.raw
FILES
P6-2-24-C.raw
FILES
P6-2-24-P.raw
FILES
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FILES
P6-2-4-P.raw
FILES
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P6-3-1-C.raw
FILES
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FILES
P6-3-24-C.raw
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
P6-4-1-P.raw
FILES
P6-4-24-C.raw
FILES
P6-4-24-P.raw
FILES
P6-4-4-C.raw
FILES
P6-4-4-P.raw
FILES
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FILES
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P6-5-1-P.raw
FILES
P6-5-24-C.raw
FILES
P6-5-24-P.raw
FILES
P6-5-4-C.raw
FILES
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FILES
P6_Control_1h_1.raw
FILES
P6_Control_1h_2.raw
FILES
P6_Control_1h_3.raw
FILES
P6_Control_1h_4.raw
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P6_PMB8_1h_1.raw
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P6_PMB8_1h_2.raw
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P6_PMB8_1h_3.raw
FILES
P6_PMB8_1h_4.raw
FILES
PAK-1-0.raw
FILES
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FILES
PAK-1-1-P.raw
FILES
PAK-1-24-C.raw
FILES
PAK-1-24-P.raw
FILES
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FILES
PAK-1-4-P.raw
FILES
PAK-2-0.raw
FILES
PAK-2-1-C.raw
FILES
PAK-2-1-P.raw
FILES
PAK-2-24-C.raw
FILES
PAK-2-24-P.raw
FILES
PAK-2-4-C.raw
FILES
PAK-2-4-P.raw
FILES
PAK-3-0.raw
FILES
PAK-3-1-C.raw
FILES
PAK-3-1-P.raw
FILES
PAK-3-24-C.raw
FILES
PAK-3-24-P.raw
FILES
PAK-3-4-C.raw
FILES
PAK-3-4-P.raw
FILES
PAK-4-0.raw
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FILES
PAK-4-1-P.raw
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PAK-4-24-C.raw
FILES
PAK-4-24-P.raw
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PAK-5-24-C.raw
FILES
PAK-5-24-P.raw
FILES
PAK-5-4-C.raw
FILES
PAK-5-4-P.raw
FILES
PAK_Control_1h_1.raw
FILES
PAK_Control_1h_2.raw
FILES
PAK_Control_1h_3.raw
FILES
PAK_Control_1h_4.raw
FILES
PAK_PMB8_1h_1.raw
FILES
PAK_PMB8_1h_2.raw
FILES
PAK_PMB8_1h_3.raw
FILES
PAK_PMB8_1h_4.raw
FILES
QC1.raw
FILES
QC2.raw
FILES
QC3.raw
FILES
QC4.raw
FILES
QC5.raw
FILES
QC6.raw
FILES
QC7.raw
FILES
QC8.raw
FILES
Standard_1.raw
FILES
Standard_2.raw
FILES
Standard_3.raw
FILES
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FILES
Standard_5.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Organism part
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 5
Returning 94 rows!
Added 94 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS752
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters Xevo G2-S Tof: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Study1_NEG_Blank10.mzXML
FILES
Study1_NEG_Blank11.mzXML
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Study1_NEG_Blank12.mzXML
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Study1_NEG_Blank13.mzXML
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Study1_NEG_Blank16.mzXML
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Study1_NEG_QC05.mzXML
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Study1_NEG_Sample01n01.mzXML
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Study1_NEG_Sample01n03.mzXML
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Study1_NEG_Sample02n01.mzXML
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Study1_NEG_Sample02n02.mzXML
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Study1_NEG_Sample03n01.mzXML
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Study1_NEG_Sample03n02.mzXML
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Study1_NEG_Sample04n01.mzXML
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Study1_NEG_Sample04n02.mzXML
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Study1_NEG_Sample05n01.mzXML
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Study1_NEG_Sample05n02.mzXML
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Study1_NEG_Sample06n03.mzXML
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Study1_NEG_Sample07n01.mzXML
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Study1_NEG_Sample07n02.mzXML
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Study1_NEG_Sample07n03.mzXML
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Study1_NEG_Sample08n01.mzXML
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Study1_NEG_Sample08n02.mzXML
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Study1_NEG_Sample11n02.mzXML
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FILES
Study1_POS_Sample04n01.mzXML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1143/1662 [2:18:03<48:17,  5.58s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1144/1662 [2:18:07<44:13,  5.12s/it]
Study1_POS_Sample04n02.mzXML
FILES
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Study1_POS_Sample06n01.mzXML
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Study1_POS_Sample06n02.mzXML
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Study1_POS_Sample07n02.mzXML
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Study1_POS_Sample08n02.mzXML
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Study1_POS_Sample09n01.mzXML
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Study1_POS_Sample09n02.mzXML
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Study1_POS_Sample09n03.mzXML
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Study1_POS_Sample10n02.mzXML
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Study1_POS_Sample12n01.mzXML
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FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Spiking mix
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Assay_Injection order
Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS753
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
GFCand1_a.raw
FILES
GFCand1_b.raw
FILES
GFCand2_a.raw
FILES
GFCand2_b.raw
FILES
GFCand3_a.raw
FILES
GFCand3_b.raw
FILES
GFCand4_a.raw
FILES
GFCand4_b.raw
FILES
GFCand5_a.raw
FILES
GFCand5_b.raw
FILES
GFCand6_a.raw
FILES
GFCand6_b.raw
FILES
GFSal1_a.raw
FILES
GFSal1_b.raw
FILES
GFSal2_a.raw
FILES
GFSal2_b.raw
FILES
GFSal3_a.raw
FILES
GFSal3_b.raw
FILES
GFSal7_a.raw
FILES
GFSal7_b.raw
FILES
GFSal8_a.raw
FILES
GFSal8_b.raw
FILES
GFSal9_a.raw
FILES
GFSal9_b.raw
FILES
HumCand1_MSMS.raw
FILES
HumCand1_a.raw
FILES
HumCand1_b.raw
FILES
HumCand2_a.raw
FILES
HumCand2_b.raw
FILES
HumCand3_a.raw
FILES
HumCand3_b.raw
FILES
HumCand4_a.raw
FILES
HumCand4_b.raw
FILES
HumCand5_a.raw
FILES
HumCand5_b.raw
FILES
HumCand6_a.raw
FILES
HumCand6_b.raw
FILES
HumNo1_a.raw
FILES
HumNo1_b.raw
FILES
HumNo2_a.raw
FILES
HumNo2_b.raw
FILES
HumNo3_a.raw
FILES
HumNo3_b.raw
FILES
HumNo4_a.raw
FILES
HumNo4_b.raw
FILES
HumNo5_a.raw
FILES
HumNo5_b.raw
FILES
HumNo6_a.raw
FILES
HumNo6_b.raw
FILES
HumSal1_MSMS.raw
FILES
HumSal1_a.raw
FILES
HumSal1_b.raw
FILES
HumSal2_a.raw
FILES
HumSal2_b.raw
FILES
HumSal3_a.raw
FILES
HumSal3_b.raw
FILES
HumSal4_a.raw
FILES
HumSal4_b.raw
FILES
HumSal5_a.raw
FILES
HumSal5_b.raw
FILES
HumSal6_a.raw
FILES
HumSal6_b.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 62 rows!
Added 62 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS754
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters Xevo G2-S Tof: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Study2_NEG_Blank11.mzXML
FILES
Study2_NEG_Blank12.mzXML
FILES
Study2_NEG_Blank13.mzXML
FILES
Study2_NEG_Blank14.mzXML
FILES
Study2_NEG_Blank15.mzXML
FILES
Study2_NEG_QC01.mzXML
FILES
Study2_NEG_QC02.mzXML
FILES
Study2_NEG_QC03.mzXML
FILES
Study2_NEG_QC04.mzXML
FILES
Study2_NEG_QC05.mzXML
FILES
Study2_NEG_QC06.mzXML
FILES
Study2_NEG_Sample01n01.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1145/1662 [2:18:14<48:17,  5.60s/it]
FILES
Study2_NEG_Sample01n02.mzXML
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Study2_NEG_Sample01n03.mzXML
FILES
Study2_NEG_Sample01n04.mzXML
FILES
Study2_NEG_Sample02n01.mzXML
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Study2_NEG_Sample02n02.mzXML
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Study2_NEG_Sample02n03.mzXML
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Study2_NEG_Sample02n04.mzXML
FILES
Study2_NEG_Sample03n01.mzXML
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Study2_NEG_Sample03n02.mzXML
FILES
Study2_NEG_Sample03n03.mzXML
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Study2_NEG_Sample03n04.mzXML
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Study2_NEG_Sample04n01.mzXML
FILES
Study2_NEG_Sample04n02.mzXML
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Study2_NEG_Sample04n03.mzXML
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Study2_NEG_Sample05n03.mzXML
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Study2_NEG_Sample06n01.mzXML
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Study2_NEG_Sample06n02.mzXML
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Study2_NEG_Sample06n03.mzXML
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Study2_NEG_Sample06n04.mzXML
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Study2_NEG_Sample07n01.mzXML
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Study2_NEG_Sample07n02.mzXML
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Study2_NEG_Sample07n03.mzXML
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Study2_NEG_Sample07n04.mzXML
FILES
Study2_NEG_Sample08n01.mzXML
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Study2_NEG_Sample08n02.mzXML
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Study2_NEG_Sample08n03.mzXML
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Study2_NEG_Sample08n04.mzXML
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Study2_NEG_Sample09n01.mzXML
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Study2_NEG_Sample09n02.mzXML
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Study2_NEG_Sample09n03.mzXML
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Study2_NEG_Sample09n04.mzXML
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Study2_NEG_Sample10n01.mzXML
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Study2_NEG_Sample10n02.mzXML
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Study2_NEG_Sample10n03.mzXML
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Study2_NEG_Sample10n04.mzXML
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Study2_NEG_Sample11n01.mzXML
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Study2_NEG_Sample11n02.mzXML
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Study2_NEG_Sample11n03.mzXML
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Study2_NEG_Sample11n04.mzXML
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Study2_NEG_Sample12n01.mzXML
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Study2_NEG_Sample12n02.mzXML
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Study2_NEG_Sample12n03.mzXML
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Study2_NEG_Sample12n04.mzXML
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Study2_POS_Blank11.mzXML
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Study2_POS_Blank12.mzXML
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Study2_POS_Blank13.mzXML
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Study2_POS_Blank14.mzXML
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Study2_POS_Blank15.mzXML
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Study2_POS_QC01.mzXML
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Study2_POS_QC02.mzXML
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Study2_POS_QC03.mzXML
FILES
Study2_POS_QC04.mzXML
FILES
Study2_POS_QC05.mzXML
FILES
Study2_POS_QC06.mzXML
FILES
Study2_POS_Sample01n01.mzXML
FILES
Study2_POS_Sample01n02.mzXML
FILES
Study2_POS_Sample01n03.mzXML
FILES
Study2_POS_Sample01n04.mzXML
FILES
Study2_POS_Sample02n01.mzXML
FILES
Study2_POS_Sample02n02.mzXML
FILES
Study2_POS_Sample03n01.mzXML
FILES
Study2_POS_Sample03n02.mzXML
FILES
Study2_POS_Sample03n03.mzXML
FILES
Study2_POS_Sample03n04.mzXML
FILES
Study2_POS_Sample04n01.mzXML
FILES
Study2_POS_Sample04n02.mzXML
FILES
Study2_POS_Sample04n03.mzXML
FILES
Study2_POS_Sample04n04.mzXML
FILES
Study2_POS_Sample05n01.mzXML
FILES
Study2_POS_Sample05n02.mzXML
FILES
Study2_POS_Sample05n03.mzXML
FILES
Study2_POS_Sample05n04.mzXML
FILES
Study2_POS_Sample06n01.mzXML
FILES
Study2_POS_Sample06n02.mzXML
FILES
Study2_POS_Sample06n03.mzXML
FILES
Study2_POS_Sample06n04.mzXML
FILES
Study2_POS_Sample07n01.mzXML
FILES
Study2_POS_Sample07n02.mzXML
FILES
Study2_POS_Sample07n03.mzXML
FILES
Study2_POS_Sample07n04.mzXML
FILES
Study2_POS_Sample08n01.mzXML
FILES
Study2_POS_Sample08n02.mzXML
FILES
Study2_POS_Sample08n03.mzXML
FILES
Study2_POS_Sample08n04.mzXML
FILES
Study2_POS_Sample09n01.mzXML
FILES
Study2_POS_Sample09n02.mzXML
FILES
Study2_POS_Sample09n03.mzXML
FILES
Study2_POS_Sample09n04.mzXML
FILES
Study2_POS_Sample10n01.mzXML
FILES
Study2_POS_Sample10n02.mzXML
FILES
Study2_POS_Sample10n03.mzXML
FILES
Study2_POS_Sample10n04.mzXML
FILES
Study2_POS_Sample11n01.mzXML
FILES
Study2_POS_Sample11n02.mzXML
FILES
Study2_POS_Sample11n03.mzXML
FILES
Study2_POS_Sample11n04.mzXML
FILES
Study2_POS_Sample12n01.mzXML
FILES
Study2_POS_Sample12n02.mzXML
FILES
Study2_POS_Sample12n03.mzXML
FILES
Study2_POS_Sample12n04.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Samples_Brand
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Geographical origin
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Spiking level
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Spiking mix
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Assay_Injection order
Number of rows removed due to not enough metadata: 0
Returning 116 rows!
Added 116 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS755
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20180220_HILIC_250ul_APLEUCO.mzML
FILES
20180220_HILIC_250ul_BMOOJI.mzML
FILES
20180220_HILIC_250ul_BMULTI.mzML
FILES
20180220_HILIC_250ul_CCERASTES.mzML
FILES
20180220_HILIC_250ul_CTERRIFICUS.mzML
FILES
20180220_HILIC_250ul_CVIVIRIDI.mzML
FILES
20180220_HILIC_250ul_DPOLY.mzML
FILES
20180220_HILIC_250ul_DSIAMENS.mzML
FILES
20180220_HILIC_250ul_MSPIXI.mzML
FILES
20180220_HILIC_250ul_MSURINAM_1.mzML
FILES
20180220_HILIC_250ul_MSURINAM_2.mzML
FILES
20180220_HILIC_250ul_MSURINAM_3.mzML
FILES
20180220_HILIC_250ul_NAJA.mzML
FILES
20180220_HILIC_250ul_OHANNAH.mzML
FILES
20180220_HILIC_250ul_OKINAMENSIS.mzML
FILES
20180220_HILIC_250ul_PELEGANS.mzML
FILES
20180220_HILIC_250ul_PFLAVO.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Snake family
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1146/1662 [2:18:24<1:01:01,  7.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1147/1662 [2:18:30<55:53,  6.51s/it]  
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Snake species
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 17 rows!
Added 17 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS756
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters LCT Premier: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
FD002.CDF
FILES
FD003.CDF
FILES
FD004.CDF
FILES
FD005.CDF
FILES
FD006.CDF
FILES
FD007.CDF
FILES
FD008.CDF
FILES
FD009.CDF
FILES
FD010.CDF
FILES
FD011.CDF
FILES
FD012.CDF
FILES
FD013.CDF
FILES
FD015.CDF
FILES
FD017.CDF
FILES
FD018.CDF
FILES
FD019.CDF
FILES
FD020.CDF
FILES
FD021.CDF
FILES
FD022.CDF
FILES
FD023.CDF
FILES
FD024.CDF
FILES
FD025.CDF
FILES
FD026.CDF
FILES
FD027.CDF
FILES
FD028.CDF
FILES
FD029.CDF
FILES
FD030.CDF
FILES
FD031.CDF
FILES
FD032.CDF
FILES
FD033.CDF
FILES
FD034.CDF
FILES
FD035.CDF
FILES
FD036.CDF
FILES
FD037.CDF
FILES
FD038.CDF
FILES
FD039.CDF
FILES
FD049.CDF
FILES
FD052.CDF
FILES
FD053.CDF
FILES
FD054.CDF
FILES
FD055.CDF
FILES
FD056.CDF
FILES
FD057.CDF
FILES
FD058.CDF
FILES
FD059.CDF
FILES
FD060.CDF
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_variety
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_location
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 100 rows!
Added 100 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7560
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
  Thermo Scientific TSQ Vantage: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Sample pairs
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 23
Returning 773 rows!
Added 773 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS757
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
FFA_AA#10.mzML
FILES
FFA_AA#11.mzML
FILES
FFA_AA#12.mzML
FILES
FFA_BSA#1.mzML
FILES
FFA_BSA#2.mzML
FILES
FFA_BSA#3.mzML
FILES
FFA_LA#7.mzML
FILES
FFA_LA#8.mzML
FILES
FFA_LA#9.mzML
FILES
FFA_PA#4.mzML
FILES
FFA_PA#5.mzML
FILES
FFA_PA#6.mzML
FILES
FLUIDITY_AA#4.mzML
FILES
FLUIDITY_AA#5.mzML
FILES
FLUIDITY_AA#6.mzML
FILES
FLUIDITY_CON#1.mzML
FILES
FLUIDITY_CON#2.mzML
FILES
FLUIDITY_CON#3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1149/1662 [2:18:52<1:09:46,  8.16s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1150/1662 [2:18:56<58:51,  6.90s/it]  
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_incubation
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7576
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
NEG_Fi07LWL_CQL1.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_CQL2.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_CQL3.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_CQL5.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_CQL6.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_CQL7.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_FQL1.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_FQL2.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_FQL3.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_FQL5.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_FQL6.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_FQL7.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_QC01.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_QC02.raw
FILES
RAW_FILES
NEG
NEG_Fi07LWL_QC03.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_CQL1.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_CQL2.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_CQL3.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_CQL5.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_CQL6.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_CQL7.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_FQL1.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_FQL2.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_FQL3.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_FQL5.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_FQL6.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_FQL7.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_QC01.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_QC02.raw
FILES
RAW_FILES
POS
POS_Fi07LWL_QC03.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS758
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific ISQ LT: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
CK_150429_Growth_100.cdf
FILES
CK_150429_Growth_101.cdf
FILES
CK_150429_Growth_104.cdf
FILES
CK_150429_Growth_106.cdf
FILES
CK_150429_Growth_107.cdf
FILES
CK_150429_Growth_109.cdf
FILES
CK_150429_Growth_110.cdf
FILES
CK_150429_Growth_111.cdf
FILES
CK_150429_Growth_112.cdf
FILES
CK_150429_Growth_113.cdf
FILES
CK_150429_Growth_114.cdf
FILES
CK_150429_Growth_93.cdf
FILES
CK_150429_Growth_95.cdf
FILES
CK_150429_Growth_97.cdf
FILES
CK_150429_Growth_98.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Growth phase
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1151/1662 [2:18:59<50:37,  5.94s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 69%|██████▉   | 1152/1662 [2:19:04<46:17,  5.45s/it]
 69%|██████▉   | 1153/1662 [2:19:05<34:32,  4.07s/it]
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS760
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HCS _01.CDF
FILES
HCS _02.CDF
FILES
HCS_03.CDF
FILES
HCS_04.CDF
FILES
HCS_05.CDF
FILES
HCS_06_A.CDF
FILES
HCS_06_B.CDF
FILES
HCS_07.CDF
FILES
HCS_08.CDF
FILES
HCS_09_A.CDF
FILES
HCS_09_B.CDF
FILES
HCS_10_A.CDF
FILES
HCS_10_B.CDF
FILES
HCS_11.CDF
FILES
HCS_12_A.CDF
FILES
HCS_12_B.CDF
FILES
HCS_13_A.CDF
FILES
HCS_13_B.CDF
FILES
HCS_14.CDF
FILES
HCS_15.CDF
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HCS_16.CDF
FILES
HCS_17.CDF
FILES
HCS_18.CDF
FILES
HCS_19.CDF
FILES
HCS_20_A.CDF
FILES
HCS_20_B.CDF
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HCS_21.CDF
FILES
HCS_22_A.CDF
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HCS_23_A.CDF
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HCS_24_A.CDF
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HCS_25_A.CDF
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HCS_26_A.CDF
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HCS_27_A.CDF
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HNC_01_A.CDF
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HNC_03_B.CDF
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HNC_06.CDF
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FILES
HNC_08_A.CDF
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HNC_09_A.CDF
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HNC_09_B.CDF
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HNC_10.CDF
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HNC_11.CDF
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HNC_12.CDF
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HNC_13_A.CDF
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HNC_14_A.CDF
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HNC_15_A.CDF
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HNC_16.CDF
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HNC_17.CDF
FILES
HNC_18_A.CDF
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FILES
HNC_19_A.CDF
FILES
HNC_19_B.CDF
FILES
HNC_20_A.CDF
FILES
HNC_20_B.CDF
FILES
HNC_21.CDF
FILES
HNC_22.CDF
FILES
HNC_23_A.CDF
FILES
HNC_23_B.CDF
FILES
HNC_24.CDF
FILES
HNC_25.CDF
FILES
HNC_26_A.CDF
FILES
HNC_26_B.CDF
FILES
HNC_27_A.CDF
FILES
HNC_27_B.CDF
FILES
HNC_28_A.CDF
FILES
HNC_29_A.CDF
FILES
HNC_29_B.CDF
FILES
HNC_30_A.CDF
FILES
HNC_30_B.CDF
FILES
HNC_31_A.CDF
FILES
HNC_31_B.CDF
FILES
HNC_32_A.CDF
FILES
HNC_32_B.CDF
FILES
HNc_28_B.CDF
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 92 rows!
Added 92 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS761
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7612
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Colon Region
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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Returning 218 rows!
Added 218 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS762
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS763
Request successful!
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TT_F5-2_ESI+.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|██████▉   | 1156/1662 [2:19:21<40:12,  4.77s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|██████▉   | 1157/1662 [2:19:24<36:24,  4.33s/it]
FILES
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Number of rows removed due to not enough metadata: 0
Returning 159 rows!
Added 159 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7649
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Number of rows removed due to not enough metadata: 0
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS767
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
Guy_FA_C14_10ug_1.cdf
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Guy_Frac2_1.cdf
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Guy_Frac4_1.cdf
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IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|██████▉   | 1158/1662 [2:19:27<33:57,  4.04s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|██████▉   | 1159/1662 [2:19:31<33:54,  4.04s/it]
IGNORED:  Assay_Protocol REF.3
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Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7676
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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B56.1_041.cdf
FILES
RAW_FILES
B56.2_042.cdf
FILES
RAW_FILES
B56.3_043.cdf
FILES
RAW_FILES
B56.4_044.cdf
FILES
RAW_FILES
B812.1_057.cdf
FILES
RAW_FILES
B812.2_058.cdf
FILES
RAW_FILES
B812.3_059.cdf
FILES
RAW_FILES
B812.4_060.cdf
FILES
RAW_FILES
B824.1_009.cdf
FILES
RAW_FILES
B824.2_010.cdf
FILES
RAW_FILES
B824.3_011.cdf
FILES
RAW_FILES
B824.4_012.cdf
FILES
RAW_FILES
B86.1_045.cdf
FILES
RAW_FILES
B86.2_046.cdf
FILES
RAW_FILES
B86.3_047.cdf
FILES
RAW_FILES
B86.4_048.cdf
FILES
RAW_FILES
BH12.1_049.cdf
FILES
RAW_FILES
BH12.2_050.cdf
FILES
RAW_FILES
BH12.3_051.cdf
FILES
RAW_FILES
BH12.4_052.cdf
FILES
RAW_FILES
BH24.1_001.cdf
FILES
RAW_FILES
BH24.2_002.cdf
FILES
RAW_FILES
BH24.3_003.cdf
FILES
RAW_FILES
BH24.4_004.cdf
FILES
RAW_FILES
BH6.1_037.cdf
FILES
RAW_FILES
BH6.2_038.cdf
FILES
RAW_FILES
BH6.3_039.cdf
FILES
RAW_FILES
BH6.4_040.cdf
FILES
RAW_FILES
Pool_1.cdf
FILES
RAW_FILES
Pool_2.cdf
FILES
RAW_FILES
pool.cdf
FILES
RAW_FILES
pool1.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Autosamplermodel
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Sample type_1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Sample type_2
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Time Point
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Biological Replicate
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS768
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Shimadzu GCMS-QP2020: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HL to HL 0 1.CDF
FILES
HL to HL 0 2.CDF
FILES
HL to HL 0 3.CDF
FILES
HL to HL 21 1.CDF
FILES
HL to HL 21 2.CDF
FILES
HL to HL 21 3.CDF
FILES
HL to HL 7 1.CDF
FILES
HL to HL 7 2.CDF
FILES
HL to HL 7 3.CDF
FILES
HL to LL 21 1.CDF
FILES
HL to LL 21 2.CDF
FILES
HL to LL 21 3.CDF
FILES
HL to LL 7 1.CDF
FILES
HL to LL 7 2.CDF
FILES
HL to LL 7 3.CDF
FILES
LL to HL 21 1.CDF
FILES
LL to HL 21 2.CDF
FILES
LL to HL 21 3.CDF
FILES
LL to HL 7 1.CDF
FILES
LL to HL 7 2.CDF
FILES
LL to HL 7 3.CDF
FILES
LL to LL 0 1.CDF
FILES
LL to LL 0 2.CDF
FILES
LL to LL 0 3.CDF
FILES
LL to LL 21 1.CDF
FILES
LL to LL 21 2.CDF
FILES
LL to LL 21 3.CDF
FILES
LL to LL 7 1.CDF
FILES
LL to LL 7 2.CDF
FILES
LL to LL 7 3.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Light
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Light exposure
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|██████▉   | 1160/1662 [2:19:35<32:51,  3.93s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|██████▉   | 1161/1662 [2:19:38<30:55,  3.70s/it]
 70%|██████▉   | 1162/1662 [2:19:39<23:34,  2.83s/it]
 70%|██████▉   | 1163/1662 [2:19:40<18:49,  2.26s/it]IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS769
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
GS_160910_40_160905_Ctrl_5d_ATM_TFA_dry_filter_MS2_125-1100_incl.RAW
FILES
GS_160910_45_160831_Inf1_10d_ATM_TFA_dry_filter_125-1100_160910210805.RAW
FILES
GS_160911_53_160907_Inf_5d_ATM_TFA_dry_filter_MS2_125-1100_wo_others.RAW
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Samples_Medium
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Assay_Term Source REF.16
IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Scan type
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Target material
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Sample Type
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Samples_Infection
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 3 rows!
Added 3 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS77
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS770
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7711
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
POS
QC-1_POS.mzML
FILES
DERIVED_FILES
POS
QC-2_POS.mzML
FILES
DERIVED_FILES
POS
QC-3_POS.mzML
FILES
DERIVED_FILES
POS
QC-4_POS.mzML
FILES
DERIVED_FILES
POS
SAR-R-1-POS.mzML
FILES
DERIVED_FILES
POS
SAR-R-2-POS.mzML
FILES
DERIVED_FILES
POS
SAR-R-3-POS.mzML
FILES
DERIVED_FILES
POS
SAR-R-4-POS.mzML
FILES
DERIVED_FILES
POS
SAR-R-5-POS.mzML
FILES
DERIVED_FILES
POS
SAR-R-6-POS.mzML
FILES
DERIVED_FILES
POS
SAR-S-1-POS.mzML
FILES
DERIVED_FILES
POS
SAR-S-2-POS.mzML
FILES
DERIVED_FILES
POS
SAR-S-3-POS.mzML
FILES
DERIVED_FILES
POS
SAR-S-4-POS.mzML
FILES
DERIVED_FILES
POS
SAR-S-5-POS.mzML
FILES
DERIVED_FILES
POS
SAR-S-6-POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1164/1662 [2:19:43<22:02,  2.66s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1165/1662 [2:19:47<24:15,  2.93s/it]
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7713
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
QC-1_NEG.mzML
FILES
DERIVED_FILES
NEG
QC-2_NEG.mzML
FILES
DERIVED_FILES
NEG
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS772
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Waters Xevo G2-S Tof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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NEG_ToF_BlackTea_S15n01.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1166/1662 [2:19:54<33:05,  4.00s/it]
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Geographical origin
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Label
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Spiking level
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IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Assay_Injection order
Number of rows removed due to not enough metadata: 24
Returning 125 rows!
Added 125 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7870
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1167/1662 [2:19:57<31:54,  3.87s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS773
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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UBERONBodyPartName:
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Try using .loc[row_indexer,col_indexer] = value instead

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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1168/1662 [2:20:04<38:10,  4.64s/it]
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
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Number of rows removed due to not enough metadata: 0
Returning 118 rows!
Added 118 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS774
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Drug 1
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Drug 2
IGNORED:  Samples_Category
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Cell line
IGNORED:  Assay_Ion source
IGNORED:  Samples_Drug 1 concentration
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 70%|███████   | 1169/1662 [2:20:16<57:04,  6.95s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1170/1662 [2:20:22<55:49,  6.81s/it]
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Animal model
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_replicate
IGNORED:  Samples_Drug 2_1
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 17
Returning 196 rows!
Added 196 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS775
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20171130_ma_f2.raw
FILES
20171204_ma_3-10a.raw
FILES
20171204_ma_3-10b.raw
FILES
20171204_ma_3-11a.raw
FILES
20171204_ma_3-11b.raw
FILES
20171204_ma_3-12a.raw
FILES
20171204_ma_3-12b.raw
FILES
20171204_ma_3-1a.raw
FILES
20171204_ma_3-1b.raw
FILES
20171204_ma_3-2a.raw
FILES
20171204_ma_3-2b.raw
FILES
20171204_ma_3-3a.raw
FILES
20171204_ma_3-3b.raw
FILES
20171204_ma_3-4a.raw
FILES
20171204_ma_3-4b.raw
FILES
20171204_ma_3-5a.raw
FILES
20171204_ma_3-5b.raw
FILES
20171204_ma_3-6a.raw
FILES
20171204_ma_3-6b.raw
FILES
20171204_ma_3-7a.raw
FILES
20171204_ma_3-7b.raw
FILES
20171204_ma_3-8a.raw
FILES
20171204_ma_3-8b.raw
FILES
20171204_ma_3-9a.raw
FILES
20171204_ma_3-9b.raw
FILES
20180226_MA_3-9b_infected_list1-217.0968.raw
FILES
20180226_MA_3-9b_infected_list1-268.1036.raw
FILES
20180226_MA_3-9b_infected_list1-338.1820.raw
FILES
20180226_MA_3-9b_infected_list1-581.3987.raw
FILES
20180226_MA_3-9b_infected_list2-223.2055.raw
FILES
20180226_MA_3-9b_infected_list2-232.raw
FILES
20180226_MA_3-9b_infected_list2-274.18.raw
FILES
20180226_MA_3-9b_infected_list2-286.2009.raw
FILES
20180226_MA_3-9b_infected_list2-322.18.raw
FILES
20180226_MA_3-9b_infected_list2-468.3088.raw
FILES
20180226_MA_3-9b_infected_list2-494.3238.raw
FILES
20180226_MA_3-9b_infected_list2-520.3394.raw
FILES
20180226_MA_3-9b_infected_list2-542.3221.raw
FILES
20180226_MA_3-9b_infected_list2-544.3400.raw
FILES
20180226_MA_3-9b_infected_list2-568.3392.raw
FILES
20180226_MA_3-9b_infected_list2-570.3547.raw
FILES
20180322_linoleamide-280.2633-nce15.raw
FILES
20180322_norharman-169.0759.raw
FILES
20180322_trans-trans-farnesol-223.2056-nceAverage.raw
FILES
20180323_MA3_9B-169.0757.raw
FILES
20180323_MA3_9B-280.2632.raw
FILES
20180328_MA3_9B-260.1850.raw
FILES
Lysophosphatidylcholine_pos.raw
FILES
StandardsMix-b-carbolin_4-CTC_10ng-ml_1.raw
FILES
qc_1.raw
FILES
qc_2.raw
FILES
qc_3.raw
FILES
qc_4.raw
FILES
qc_5.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Parasite
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Samples_Health status
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 31
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7759
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
Neg-BP20230009-K252a-MSCs-Sur-1.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-K252a-MSCs-Sur-2.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-K252a-MSCs-Sur-3.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-K252a-MSCs-Sur-4.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-MSCs-Sur-1.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-MSCs-Sur-2.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-MSCs-Sur-3.raw
FILES
RAW_FILES
NEG
Neg-BP20230009-MSCs-Sur-4.raw
FILES
RAW_FILES
POS
Pos-BP20230009-K252a-MSCs-Sur-1.raw
FILES
RAW_FILES
POS
Pos-BP20230009-K252a-MSCs-Sur-2.raw
FILES
RAW_FILES
POS
Pos-BP20230009-K252a-MSCs-Sur-3.raw
FILES
RAW_FILES
POS
Pos-BP20230009-K252a-MSCs-Sur-4.raw
FILES
RAW_FILES
POS
Pos-BP20230009-MSCs-Sur-1.raw
FILES
RAW_FILES
POS
Pos-BP20230009-MSCs-Sur-2.raw
FILES
RAW_FILES
POS
Pos-BP20230009-MSCs-Sur-3.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 70%|███████   | 1171/1662 [2:20:26<47:29,  5.80s/it]
FILES
RAW_FILES
POS
Pos-BP20230009-MSCs-Sur-4.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7760
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 5977B MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_03.D
FILES
RAW_FILES
HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_04.D
FILES
RAW_FILES
HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_05.D
FILES
RAW_FILES
HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_06.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_10.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_11.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_12.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_13.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_14.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_17.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_18.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_19.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_20.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_21.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_23.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_28.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_29.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_30.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_31.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_32.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_35.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_36.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_37.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_38.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_39.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_40.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_44.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_45.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_46.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_47.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_48.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_52.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_53.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_54.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_55.D
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HepG2_Rescue_Cell_MOX-TMS_14062022_56.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_57.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_58.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_59.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_62.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_63.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_64.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_65.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_66.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_67.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_68.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_69.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_72.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_73.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_74.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_75.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_76.D
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HepG2_Rescue_Cell_MOX-TMS_14062022_77.D
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HepG2_Rescue_Cell_MOX-TMS_14062022_78.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_79.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_80.D
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HepG2_Rescue_Cell_MOX-TMS_14062022_81.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_84.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_85.D
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HepG2_Rescue experiment_72hr
HepG2_Rescue_Cell_MOX-TMS_14062022_86.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_02.D
FILES
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_03.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_04.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_05.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_06.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_07.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_08.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_09.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_10.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_11.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_12.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_13.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_14.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_16.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_17.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_18.D
FILES
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_19.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_20.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_21.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_22.D
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HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_23.D
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RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_24.D
FILES
RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_26.D
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RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_27.D
FILES
RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_28.D
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RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_29.D
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RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_30.D
FILES
RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_31.D
FILES
RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_32.D
FILES
RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_33.D
FILES
RAW_FILES
HepG2_Time series experiment
A_3hr treatment
HepG2_A_Cell_MOX-TMS_02062022_35.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_02.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_03.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_04.D
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HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_05.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_06.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_07.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_08.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_09.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_10.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_11.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_13.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_14.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_15.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_16.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_17.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_18.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_19.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_20.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_21.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_22.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_23.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_24.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_25.D
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RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_26.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_27.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_28.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_29.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_30.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_31.D
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RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_34.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_35.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_36.D
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RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_37.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_38.D
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RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_39.D
FILES
RAW_FILES
HepG2_Time series experiment
B_6hr treatment
HepG2_B_Cell_MOX-TMS_10062022_41.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_02.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_05.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_06.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_07.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_08.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_09.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_10.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_11.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_14.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_15.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_16.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_17.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_18.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_19.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_21.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_22.D
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HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_23.D
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RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_24.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_25.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_26.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_27.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_28.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_29.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_30.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_31.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_32.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_33.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_34.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_35.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_36.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_37.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_38.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_39.D
FILES
RAW_FILES
HepG2_Time series experiment
C_12hr treatment
HepG2_C_Cell_MOX-TMS_08062022_40.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_02.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_05.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_06.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_07.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_08.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_09.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_10.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_11.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_14.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_15.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_16.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_17.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_18.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_19.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_20.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_22.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_23.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
HepG2_D_Cell_MOX-TMS_04062022_24.D
FILES
RAW_FILES
HepG2_Time series experiment
D_24hr treatment
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████   | 1172/1662 [2:20:34<53:35,  6.56s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████   | 1173/1662 [2:20:38<46:40,  5.73s/it]
IGNORED:  Samples_Treatment_1
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Treatment_2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Experiment
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 229 rows!
Added 229 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7766
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  5977B: missing value
  Agilent 5975C MSD: missing value
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  : missing value
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 37 rows!
Added 37 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS777
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
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   (Phenyl-Hexyl): missing value
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  nan: missing value
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FILES
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Cali11.mzML
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Cali12.mzML
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Cali13.mzML
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Cali15.mzML
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Cali16.mzML
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Cali17.mzML
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Cali19.mzML
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Cali2.mzML
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Cali24.mzML
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Cali8.mzML
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Cali9.mzML
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Gra10.mzML
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Gra13.mzML
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Gra17.mzML
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Gra18.mzML
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Gra19.mzML
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Gra2.mzML
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Gra22.mzML
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Gra8.mzML
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Gra9.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████   | 1174/1662 [2:20:50<1:02:31,  7.69s/it]
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Coral species
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 4
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7776
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
  Agilent 6530 Accurate-Mass Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Biorec001_MX437720_negCSH_prePetrick001.mzML
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DERIVED_FILES
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DERIVED_FILES
NEG
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DERIVED_FILES
NEG
Biorec007_MX437720_negCSH_postPetrick060.mzML
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DERIVED_FILES
NEG
Biorec008_MX437720_negCSH_postPetrick070.mzML
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DERIVED_FILES
NEG
Biorec009_MX437720_negCSH_postPetrick080.mzML
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DERIVED_FILES
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Biorec010_MX437720_negCSH_postPetrick090.mzML
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DERIVED_FILES
NEG
Biorec011_MX437720_negCSH_postPetrick100.mzML
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DERIVED_FILES
NEG
Biorec012_MX437720_negCSH_postPetrick110.mzML
FILES
DERIVED_FILES
NEG
Biorec013_MX437720_negCSH_postPetrick120.mzML
FILES
DERIVED_FILES
NEG
Biorec014_MX437720_negCSH_postPetrick130.mzML
FILES
DERIVED_FILES
NEG
Biorec015_MX437720_negCSH_postPetrick140.mzML
FILES
DERIVED_FILES
NEG
Biorec016_MX437720_negCSH_postPetrick150.mzML
FILES
DERIVED_FILES
NEG
Biorec017_MX437720_negCSH_postPetrick160.mzML
FILES
DERIVED_FILES
NEG
Biorec018_MX437720_negCSH_postPetrick170.mzML
FILES
DERIVED_FILES
NEG
Biorec019_MX437720_negCSH_postPetrick180.mzML
FILES
DERIVED_FILES
NEG
Biorec020_MX437720_negCSH_postPetrick190.mzML
FILES
DERIVED_FILES
NEG
Biorec021_MX437720_negCSH_postPetrick200.mzML
FILES
DERIVED_FILES
NEG
Biorec022_MX437720_negCSH_postPetrick210.mzML
FILES
DERIVED_FILES
NEG
Biorec023_MX437720_negCSH_postPetrick220.mzML
FILES
DERIVED_FILES
NEG
Biorec024_MX437720_negCSH_postPetrick230.mzML
FILES
DERIVED_FILES
NEG
Biorec025_MX437720_negCSH_postPetrick240.mzML
FILES
DERIVED_FILES
NEG
Biorec026_MX437720_negCSH_postPetrick250.mzML
FILES
DERIVED_FILES
NEG
Biorec027_MX437720_negCSH_postPetrick260.mzML
FILES
DERIVED_FILES
NEG
Biorec028_MX437720_negCSH_postPetrick270.mzML
FILES
DERIVED_FILES
NEG
Biorec029_MX437720_negCSH_postPetrick280.mzML
FILES
DERIVED_FILES
NEG
Biorec030_MX437720_negCSH_postPetrick290.mzML
FILES
DERIVED_FILES
NEG
Biorec031_MX437720_negCSH_postPetrick300.mzML
FILES
DERIVED_FILES
NEG
Biorec032_MX437720_negCSH_postPetrick310.mzML
FILES
DERIVED_FILES
NEG
Biorec033_MX437720_negCSH_postPetrick320.mzML
FILES
DERIVED_FILES
NEG
Biorec034_MX437720_negCSH_postPetrick330.mzML
FILES
DERIVED_FILES
NEG
Biorec035_MX437720_negCSH_postPetrick340.mzML
FILES
DERIVED_FILES
NEG
Biorec036_MX437720_negCSH_postPetrick350.mzML
FILES
DERIVED_FILES
NEG
Biorec037_MX437720_negCSH_postPetrick360.mzML
FILES
DERIVED_FILES
NEG
Biorec038_MX437720_negCSH_postPetrick370.mzML
FILES
DERIVED_FILES
NEG
Biorec039_MX437720_negCSH_postPetrick380.mzML
FILES
DERIVED_FILES
NEG
Biorec040_MX437720_negCSH_postPetrick390.mzML
FILES
DERIVED_FILES
NEG
Biorec041_MX437720_negCSH_postPetrick400.mzML
FILES
DERIVED_FILES
NEG
Biorec042_MX437720_negCSH_postPetrick410.mzML
FILES
DERIVED_FILES
NEG
Biorec043_MX437720_negCSH_postPetrick420.mzML
FILES
DERIVED_FILES
NEG
Biorec044_MX437720_negCSH_postPetrick430.mzML
FILES
DERIVED_FILES
NEG
Biorec045_MX437720_negCSH_postPetrick440.mzML
FILES
DERIVED_FILES
NEG
Biorec046_MX437720_negCSH_postPetrick450.mzML
FILES
DERIVED_FILES
NEG
Biorec047_MX437720_negCSH_postPetrick460.mzML
FILES
DERIVED_FILES
NEG
Biorec048_MX437720_negCSH_postPetrick470.mzML
FILES
DERIVED_FILES
NEG
Biorec049_MX437720_negCSH_postPetrick480.mzML
FILES
DERIVED_FILES
NEG
MtdBlank001_MX437720_negCSH_prePetrick001.mzML
FILES
DERIVED_FILES
NEG
MtdBlank002_MX437720_negCSH_postPetrick010.mzML
FILES
DERIVED_FILES
NEG
MtdBlank003_MX437720_negCSH_postPetrick020.mzML
FILES
DERIVED_FILES
NEG
MtdBlank004_MX437720_negCSH_postPetrick030.mzML
FILES
DERIVED_FILES
NEG
MtdBlank005_MX437720_negCSH_postPetrick040.mzML
FILES
DERIVED_FILES
NEG
MtdBlank006_MX437720_negCSH_postPetrick050.mzML
FILES
DERIVED_FILES
NEG
MtdBlank007_MX437720_negCSH_postPetrick060.mzML
FILES
DERIVED_FILES
NEG
MtdBlank008_MX437720_negCSH_postPetrick070.mzML
FILES
DERIVED_FILES
NEG
MtdBlank009_MX437720_negCSH_postPetrick080.mzML
FILES
DERIVED_FILES
NEG
MtdBlank010_MX437720_negCSH_postPetrick090.mzML
FILES
DERIVED_FILES
NEG
MtdBlank011_MX437720_negCSH_postPetrick100.mzML
FILES
DERIVED_FILES
NEG
MtdBlank012_MX437720_negCSH_postPetrick110.mzML
FILES
DERIVED_FILES
NEG
MtdBlank013_MX437720_negCSH_postPetrick120.mzML
FILES
DERIVED_FILES
NEG
MtdBlank014_MX437720_negCSH_postPetrick130.mzML
FILES
DERIVED_FILES
NEG
MtdBlank015_MX437720_negCSH_postPetrick140.mzML
FILES
DERIVED_FILES
NEG
MtdBlank016_MX437720_negCSH_postPetrick150.mzML
FILES
DERIVED_FILES
NEG
MtdBlank017_MX437720_negCSH_postPetrick160.mzML
FILES
DERIVED_FILES
NEG
MtdBlank018_MX437720_negCSH_postPetrick170.mzML
FILES
DERIVED_FILES
NEG
MtdBlank019_MX437720_negCSH_postPetrick180.mzML
FILES
DERIVED_FILES
NEG
MtdBlank020_MX437720_negCSH_postPetrick190.mzML
FILES
DERIVED_FILES
NEG
MtdBlank021_MX437720_negCSH_postPetrick200.mzML
FILES
DERIVED_FILES
NEG
MtdBlank022_MX437720_negCSH_postPetrick210.mzML
FILES
DERIVED_FILES
NEG
MtdBlank023_MX437720_negCSH_postPetrick220.mzML
FILES
DERIVED_FILES
NEG
MtdBlank024_MX437720_negCSH_postPetrick230.mzML
FILES
DERIVED_FILES
NEG
MtdBlank025_MX437720_negCSH_postPetrick240.mzML
FILES
DERIVED_FILES
NEG
MtdBlank026_MX437720_negCSH_postPetrick250.mzML
FILES
DERIVED_FILES
NEG
MtdBlank027_MX437720_negCSH_postPetrick260.mzML
FILES
DERIVED_FILES
NEG
MtdBlank028_MX437720_negCSH_postPetrick270.mzML
FILES
DERIVED_FILES
NEG
MtdBlank029_MX437720_negCSH_postPetrick280.mzML
FILES
DERIVED_FILES
NEG
MtdBlank030_MX437720_negCSH_postPetrick290.mzML
FILES
DERIVED_FILES
NEG
MtdBlank031_MX437720_negCSH_postPetrick300.mzML
FILES
DERIVED_FILES
NEG
MtdBlank032_MX437720_negCSH_postPetrick310.mzML
FILES
DERIVED_FILES
NEG
MtdBlank033_MX437720_negCSH_postPetrick320.mzML
FILES
DERIVED_FILES
NEG
MtdBlank034_MX437720_negCSH_postPetrick330.mzML
FILES
DERIVED_FILES
NEG
MtdBlank035_MX437720_negCSH_postPetrick340.mzML
FILES
DERIVED_FILES
NEG
MtdBlank036_MX437720_negCSH_postPetrick350.mzML
FILES
DERIVED_FILES
NEG
MtdBlank037_MX437720_negCSH_postPetrick360.mzML
FILES
DERIVED_FILES
NEG
MtdBlank038_MX437720_negCSH_postPetrick370.mzML
FILES
DERIVED_FILES
NEG
MtdBlank039_MX437720_negCSH_postPetrick380.mzML
FILES
DERIVED_FILES
NEG
MtdBlank040_MX437720_negCSH_postPetrick390.mzML
FILES
DERIVED_FILES
NEG
MtdBlank041_MX437720_negCSH_postPetrick400.mzML
FILES
DERIVED_FILES
NEG
MtdBlank042_MX437720_negCSH_postPetrick410.mzML
FILES
DERIVED_FILES
NEG
MtdBlank043_MX437720_negCSH_postPetrick420.mzML
FILES
DERIVED_FILES
NEG
MtdBlank046_MX437720_negCSH_postPetrick450.mzML
FILES
DERIVED_FILES
NEG
MtdBlank047_MX437720_negCSH_postPetrick460.mzML
FILES
DERIVED_FILES
NEG
MtdBlank048_MX437720_negCSH_postPetrick470.mzML
FILES
DERIVED_FILES
NEG
MtdBlank049_MX437720_negCSH_postPetrick480.mzML
FILES
DERIVED_FILES
NEG
NIST001_MX437720_negCSH_prePetrick001.mzML
FILES
DERIVED_FILES
NEG
NIST002_MX437720_negCSH_postPetrick100.mzML
FILES
DERIVED_FILES
NEG
NIST003_MX437720_negCSH_postPetrick200.mzML
FILES
DERIVED_FILES
NEG
NIST004_MX437720_negCSH_postPetrick300.mzML
FILES
DERIVED_FILES
NEG
NIST005_MX437720_negCSH_postPetrick400.mzML
FILES
DERIVED_FILES
NEG
Petrick001_MX437720_negCSH_BPL1415-0491-001.mzML
FILES
DERIVED_FILES
NEG
Petrick002_MX437720_negCSH_BPL1415-0492-002.mzML
FILES
DERIVED_FILES
NEG
Petrick003_MX437720_negCSH_BPL1415-0493-003.mzML
FILES
DERIVED_FILES
NEG
Petrick004_MX437720_negCSH_BPL1415-0494-004.mzML
FILES
DERIVED_FILES
NEG
Petrick006_MX437720_negCSH_BPL1415-0496-006.mzML
FILES
DERIVED_FILES
NEG
Petrick007_MX437720_negCSH_BPL1415-0497-007.mzML
FILES
DERIVED_FILES
NEG
Petrick008_MX437720_negCSH_BPL1415-0498-008.mzML
FILES
DERIVED_FILES
NEG
Petrick009_MX437720_negCSH_BPL1415-0499-009.mzML
FILES
DERIVED_FILES
NEG
Petrick010_MX437720_negCSH_BPL1415-0500-010.mzML
FILES
DERIVED_FILES
NEG
Petrick011_MX437720_negCSH_BPL1415-0501-011.mzML
FILES
DERIVED_FILES
NEG
Petrick012_MX437720_negCSH_BPL1415-0502-012.mzML
FILES
DERIVED_FILES
NEG
Petrick013_MX437720_negCSH_BPL1415-0503-013.mzML
FILES
DERIVED_FILES
NEG
Petrick014_MX437720_negCSH_BPL1415-0504-014.mzML
FILES
DERIVED_FILES
NEG
Petrick015_MX437720_negCSH_BPL1415-0505-015.mzML
FILES
DERIVED_FILES
NEG
Petrick017_MX437720_negCSH_BPL1415-0507-017.mzML
FILES
DERIVED_FILES
NEG
Petrick018_MX437720_negCSH_BPL1415-0508-018.mzML
FILES
DERIVED_FILES
NEG
Petrick019_MX437720_negCSH_BPL1415-0509-019.mzML
FILES
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NEG
Petrick020_MX437720_negCSH_BPL1415-0510-020.mzML
FILES
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NEG
Petrick021_MX437720_negCSH_BPL1415-0511-021.mzML
FILES
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NEG
Petrick022_MX437720_negCSH_BPL1415-0512-022.mzML
FILES
DERIVED_FILES
NEG
Petrick023_MX437720_negCSH_BPL1415-0513-023.mzML
FILES
DERIVED_FILES
NEG
Petrick024_MX437720_negCSH_BPL1415-0514-024.mzML
FILES
DERIVED_FILES
NEG
Petrick026_MX437720_negCSH_BPL1415-0516-026.mzML
FILES
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NEG
Petrick027_MX437720_negCSH_BPL1415-0517-027.mzML
FILES
DERIVED_FILES
NEG
Petrick028_MX437720_negCSH_BPL1415-0518-028.mzML
FILES
DERIVED_FILES
NEG
Petrick029_MX437720_negCSH_BPL1415-0519-029.mzML
FILES
DERIVED_FILES
NEG
Petrick030_MX437720_negCSH_BPL1415-0520-030.mzML
FILES
DERIVED_FILES
NEG
Petrick031_MX437720_negCSH_BPL1415-0521-031.mzML
FILES
DERIVED_FILES
NEG
Petrick032_MX437720_negCSH_BPL1415-0522-032.mzML
FILES
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NEG
Petrick033_MX437720_negCSH_BPL1415-0523-033.mzML
FILES
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NEG
Petrick034_MX437720_negCSH_BPL1415-0524-034.mzML
FILES
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NEG
Petrick035_MX437720_negCSH_BPL1415-0525-035.mzML
FILES
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NEG
Petrick036_MX437720_negCSH_BPL1415-0526-036.mzML
FILES
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NEG
Petrick037_MX437720_negCSH_BPL1415-0527-037.mzML
FILES
DERIVED_FILES
NEG
Petrick038_MX437720_negCSH_BPL1415-0528-038.mzML
FILES
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NEG
Petrick039_MX437720_negCSH_BPL1415-0529-039.mzML
FILES
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NEG
Petrick040_MX437720_negCSH_BPL1415-0530-040.mzML
FILES
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NEG
Petrick041_MX437720_negCSH_BPL1415-0531-041.mzML
FILES
DERIVED_FILES
NEG
Petrick043_MX437720_negCSH_BPL1415-0533-043.mzML
FILES
DERIVED_FILES
NEG
Petrick044_MX437720_negCSH_BPL1415-0534-044.mzML
FILES
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NEG
Petrick045_MX437720_negCSH_BPL1415-0535-045.mzML
FILES
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NEG
Petrick046_MX437720_negCSH_BPL1415-0536-046.mzML
FILES
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NEG
Petrick047_MX437720_negCSH_BPL1415-0537-047.mzML
FILES
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NEG
Petrick048_MX437720_negCSH_BPL1415-0538-048.mzML
FILES
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NEG
Petrick049_MX437720_negCSH_BPL1415-0539-049.mzML
FILES
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NEG
Petrick050_MX437720_negCSH_BPL1415-0540-050.mzML
FILES
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NEG
Petrick051_MX437720_negCSH_BPL1415-0541-051.mzML
FILES
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NEG
Petrick052_MX437720_negCSH_BPL1415-0542-052.mzML
FILES
DERIVED_FILES
NEG
Petrick053_MX437720_negCSH_BPL1415-0543-053.mzML
FILES
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NEG
Petrick054_MX437720_negCSH_BPL1415-0544-054.mzML
FILES
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NEG
Petrick056_MX437720_negCSH_BPL1415-0546-056.mzML
FILES
DERIVED_FILES
NEG
Petrick057_MX437720_negCSH_BPL1415-0547-057.mzML
FILES
DERIVED_FILES
NEG
Petrick058_MX437720_negCSH_BPL1415-0548-058.mzML
FILES
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NEG
Petrick059_MX437720_negCSH_BPL1415-0549-059.mzML
FILES
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NEG
Petrick061_MX437720_negCSH_BPL1415-0551-061.mzML
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NEG
Petrick062_MX437720_negCSH_BPL1415-0552-062.mzML
FILES
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NEG
Petrick063_MX437720_negCSH_BPL1415-0553-063.mzML
FILES
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NEG
Petrick064_MX437720_negCSH_BPL1415-0554-064.mzML
FILES
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NEG
Petrick065_MX437720_negCSH_BPL1415-0555-065.mzML
FILES
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NEG
Petrick066_MX437720_negCSH_BPL1415-0556-066.mzML
FILES
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NEG
Petrick067_MX437720_negCSH_BPL1415-0557-067.mzML
FILES
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NEG
Petrick068_MX437720_negCSH_BPL1415-0558-068.mzML
FILES
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NEG
Petrick069_MX437720_negCSH_BPL1415-0559-069.mzML
FILES
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NEG
Petrick070_MX437720_negCSH_BPL1415-0560-070.mzML
FILES
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NEG
Petrick072_MX437720_negCSH_BPL1415-0562-072.mzML
FILES
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NEG
Petrick073_MX437720_negCSH_BPL1415-0563-073.mzML
FILES
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NEG
Petrick074_MX437720_negCSH_BPL1415-0564-074.mzML
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NEG
Petrick075_MX437720_negCSH_BPL1415-0565-075.mzML
FILES
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NEG
Petrick076_MX437720_negCSH_BPL1415-0566-076.mzML
FILES
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NEG
Petrick077_MX437720_negCSH_BPL1415-0567-077.mzML
FILES
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NEG
Petrick078_MX437720_negCSH_BPL1415-0568-078.mzML
FILES
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NEG
Petrick079_MX437720_negCSH_BPL1415-0569-079.mzML
FILES
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NEG
Petrick080_MX437720_negCSH_BPL1415-0570-080.mzML
FILES
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NEG
Petrick081_MX437720_negCSH_BPL1415-0571-081.mzML
FILES
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NEG
Petrick082_MX437720_negCSH_BPL1415-0572-082.mzML
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NEG
Petrick083_MX437720_negCSH_BPL1415-0573-083.mzML
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NEG
Petrick084_MX437720_negCSH_BPL1415-0574-084.mzML
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NEG
Petrick085_MX437720_negCSH_BPL1415-0575-085.mzML
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NEG
Petrick086_MX437720_negCSH_BPL1415-0576-086.mzML
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NEG
Petrick087_MX437720_negCSH_BPL1415-0577-087.mzML
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NEG
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NEG
Petrick089_MX437720_negCSH_BPL1415-0579-089.mzML
FILES
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NEG
Petrick090_MX437720_negCSH_BPL1415-0580-090.mzML
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NEG
Petrick091_MX437720_negCSH_BPL1415-0581-091.mzML
FILES
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NEG
Petrick093_MX437720_negCSH_BPL1415-0583-093.mzML
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NEG
Petrick094_MX437720_negCSH_BPL1415-0584-094.mzML
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NEG
Petrick095_MX437720_negCSH_BPL1415-0585-095.mzML
FILES
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NEG
Petrick096_MX437720_negCSH_BPL1415-0586-096.mzML
FILES
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NEG
Petrick098_MX437720_negCSH_BPL1415-0588-098.mzML
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NEG
Petrick099_MX437720_negCSH_BPL1415-0589-099.mzML
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NEG
Petrick100_MX437720_negCSH_BPL1415-0590-100.mzML
FILES
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NEG
Petrick101_MX437720_negCSH_BPL1415-0591-101.mzML
FILES
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NEG
Petrick102_MX437720_negCSH_BPL1415-0592-102.mzML
FILES
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NEG
Petrick103_MX437720_negCSH_BPL1415-0593-103.mzML
FILES
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NEG
Petrick104_MX437720_negCSH_BPL1415-0594-104.mzML
FILES
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NEG
Petrick105_MX437720_negCSH_BPL1415-0595-105.mzML
FILES
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NEG
Petrick106_MX437720_negCSH_BPL1415-0596-106.mzML
FILES
DERIVED_FILES
NEG
Petrick107_MX437720_negCSH_BPL1415-0597-107.mzML
FILES
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NEG
Petrick108_MX437720_negCSH_BPL1415-0598-108.mzML
FILES
DERIVED_FILES
NEG
Petrick109_MX437720_negCSH_BPL1415-0599-109.mzML
FILES
DERIVED_FILES
NEG
Petrick111_MX437720_negCSH_BPL1415-0601-111.mzML
FILES
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NEG
Petrick112_MX437720_negCSH_BPL1415-0602-112.mzML
FILES
DERIVED_FILES
NEG
Petrick113_MX437720_negCSH_BPL1415-0603-113.mzML
FILES
DERIVED_FILES
NEG
Petrick114_MX437720_negCSH_BPL1415-0604-114.mzML
FILES
DERIVED_FILES
NEG
Petrick115_MX437720_negCSH_BPL1415-0605-115.mzML
FILES
DERIVED_FILES
NEG
Petrick116_MX437720_negCSH_BPL1415-0606-116.mzML
FILES
DERIVED_FILES
NEG
Petrick117_MX437720_negCSH_BPL1415-0607-117.mzML
FILES
DERIVED_FILES
NEG
Petrick118_MX437720_negCSH_BPL1415-0608-118.mzML
FILES
DERIVED_FILES
NEG
Petrick119_MX437720_negCSH_BPL1415-0609-119.mzML
FILES
DERIVED_FILES
NEG
Petrick120_MX437720_negCSH_BPL1415-0610-120.mzML
FILES
DERIVED_FILES
NEG
Petrick121_MX437720_negCSH_BPL1415-0611-121.mzML
FILES
DERIVED_FILES
NEG
Petrick122_MX437720_negCSH_BPL1415-0612-122_2.mzML
FILES
DERIVED_FILES
NEG
Petrick123_MX437720_negCSH_BPL1415-0613-123_2.mzML
FILES
DERIVED_FILES
NEG
Petrick124_MX437720_negCSH_BPL1415-0614-124_2.mzML
FILES
DERIVED_FILES
NEG
Petrick126_MX437720_negCSH_BPL1415-0616-126.mzML
FILES
DERIVED_FILES
NEG
Petrick127_MX437720_negCSH_BPL1415-0617-127.mzML
FILES
DERIVED_FILES
NEG
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DERIVED_FILES
NEG
Petrick129_MX437720_negCSH_BPL1415-0619-129.mzML
FILES
DERIVED_FILES
NEG
Petrick130_MX437720_negCSH_BPL1415-0620-130.mzML
FILES
DERIVED_FILES
NEG
Petrick131_MX437720_negCSH_BPL1415-0621-131.mzML
FILES
DERIVED_FILES
NEG
Petrick132_MX437720_negCSH_BPL1415-0622-132.mzML
FILES
DERIVED_FILES
NEG
Petrick133_MX437720_negCSH_BPL1415-0623-133.mzML
FILES
DERIVED_FILES
NEG
Petrick135_MX437720_negCSH_BPL1415-0625-135.mzML
FILES
DERIVED_FILES
NEG
Petrick136_MX437720_negCSH_BPL1415-0626-136.mzML
FILES
DERIVED_FILES
NEG
Petrick137_MX437720_negCSH_BPL1415-0627-137.mzML
FILES
DERIVED_FILES
NEG
Petrick138_MX437720_negCSH_BPL1415-0628-138.mzML
FILES
DERIVED_FILES
NEG
Petrick139_MX437720_negCSH_BPL1415-0629-139.mzML
FILES
DERIVED_FILES
NEG
Petrick140_MX437720_negCSH_BPL1415-0630-140.mzML
FILES
DERIVED_FILES
NEG
Petrick141_MX437720_negCSH_BPL1415-0631-141.mzML
FILES
DERIVED_FILES
NEG
Petrick142_MX437720_negCSH_BPL1415-0632-142.mzML
FILES
DERIVED_FILES
NEG
Petrick143_MX437720_negCSH_BPL1415-0633-143.mzML
FILES
DERIVED_FILES
NEG
Petrick144_MX437720_negCSH_BPL1415-0634-144.mzML
FILES
DERIVED_FILES
NEG
Petrick145_MX437720_negCSH_BPL1415-0635-145.mzML
FILES
DERIVED_FILES
NEG
Petrick146_MX437720_negCSH_BPL1415-0636-146.mzML
FILES
DERIVED_FILES
NEG
Petrick148_MX437720_negCSH_BPL1415-0638-148.mzML
FILES
DERIVED_FILES
NEG
Petrick149_MX437720_negCSH_BPL1415-0639-149.mzML
FILES
DERIVED_FILES
NEG
Petrick150_MX437720_negCSH_BPL1415-0640-150.mzML
FILES
DERIVED_FILES
NEG
Petrick151_MX437720_negCSH_BPL1415-0641-151.mzML
FILES
DERIVED_FILES
NEG
Petrick152_MX437720_negCSH_BPL1415-0642-152.mzML
FILES
DERIVED_FILES
NEG
Petrick153_MX437720_negCSH_BPL1415-0643-153.mzML
FILES
DERIVED_FILES
NEG
Petrick154_MX437720_negCSH_BPL1415-0644-154.mzML
FILES
DERIVED_FILES
NEG
Petrick155_MX437720_negCSH_BPL1415-0645-155.mzML
FILES
DERIVED_FILES
NEG
Petrick156_MX437720_negCSH_BPL1415-0646-156.mzML
FILES
DERIVED_FILES
NEG
Petrick157_MX437720_negCSH_BPL1415-0647-157.mzML
FILES
DERIVED_FILES
NEG
Petrick158_MX437720_negCSH_BPL1415-0648-158.mzML
FILES
DERIVED_FILES
NEG
Petrick159_MX437720_negCSH_BPL1415-0649-159.mzML
FILES
DERIVED_FILES
NEG
Petrick161_MX437720_negCSH_BPL1415-0651-161.mzML
FILES
DERIVED_FILES
NEG
Petrick162_MX437720_negCSH_BPL1415-0652-162.mzML
FILES
DERIVED_FILES
NEG
Petrick163_MX437720_negCSH_BPL1415-0653-163.mzML
FILES
DERIVED_FILES
NEG
Petrick164_MX437720_negCSH_BPL1415-0654-164.mzML
FILES
DERIVED_FILES
NEG
Petrick166_MX437720_negCSH_BPL1415-0656-166.mzML
FILES
DERIVED_FILES
NEG
Petrick167_MX437720_negCSH_BPL1415-0657-167.mzML
FILES
DERIVED_FILES
NEG
Petrick168_MX437720_negCSH_BPL1415-0658-168.mzML
FILES
DERIVED_FILES
NEG
Petrick169_MX437720_negCSH_BPL1415-0659-169.mzML
FILES
DERIVED_FILES
NEG
Petrick170_MX437720_negCSH_BPL1415-0660-170.mzML
FILES
DERIVED_FILES
NEG
Petrick171_MX437720_negCSH_BPL1415-0661-171.mzML
FILES
DERIVED_FILES
NEG
Petrick172_MX437720_negCSH_BPL1415-0662-172.mzML
FILES
DERIVED_FILES
NEG
Petrick173_MX437720_negCSH_BPL1415-0663-173.mzML
FILES
DERIVED_FILES
NEG
Petrick174_MX437720_negCSH_BPL1415-0664-174.mzML
FILES
DERIVED_FILES
NEG
Petrick175_MX437720_negCSH_BPL1415-0665-175.mzML
FILES
DERIVED_FILES
NEG
Petrick176_MX437720_negCSH_BPL1415-0666-176.mzML
FILES
DERIVED_FILES
NEG
Petrick177_MX437720_negCSH_BPL1415-0667-177.mzML
FILES
DERIVED_FILES
NEG
Petrick178_MX437720_negCSH_BPL1415-0668-178.mzML
FILES
DERIVED_FILES
NEG
Petrick179_MX437720_negCSH_BPL1415-0669-179.mzML
FILES
DERIVED_FILES
NEG
Petrick180_MX437720_negCSH_BPL1415-0670-180.mzML
FILES
DERIVED_FILES
NEG
Petrick181_MX437720_negCSH_BPL1415-0671-181.mzML
FILES
DERIVED_FILES
NEG
Petrick182_MX437720_negCSH_BPL1415-0672-182.mzML
FILES
DERIVED_FILES
NEG
Petrick183_MX437720_negCSH_BPL1415-0673-183.mzML
FILES
DERIVED_FILES
NEG
Petrick185_MX437720_negCSH_BPL1415-0675-185.mzML
FILES
DERIVED_FILES
NEG
Petrick186_MX437720_negCSH_BPL1415-0676-186.mzML
FILES
DERIVED_FILES
NEG
Petrick187_MX437720_negCSH_BPL1415-0677-187.mzML
FILES
DERIVED_FILES
NEG
Petrick188_MX437720_negCSH_BPL1415-0678-188.mzML
FILES
DERIVED_FILES
NEG
Petrick189_MX437720_negCSH_BPL1415-0679-189.mzML
FILES
DERIVED_FILES
NEG
Petrick190_MX437720_negCSH_BPL1415-0680-190.mzML
FILES
DERIVED_FILES
NEG
Petrick192_MX437720_negCSH_BPL1415-0682-192.mzML
FILES
DERIVED_FILES
NEG
Petrick193_MX437720_negCSH_BPL1415-0683-193.mzML
FILES
DERIVED_FILES
NEG
Petrick194_MX437720_negCSH_BPL1415-0684-194.mzML
FILES
DERIVED_FILES
NEG
Petrick195_MX437720_negCSH_BPL1415-0685-195.mzML
FILES
DERIVED_FILES
NEG
Petrick196_MX437720_negCSH_BPL1415-0686-196.mzML
FILES
DERIVED_FILES
NEG
Petrick197_MX437720_negCSH_BPL1415-0687-197.mzML
FILES
DERIVED_FILES
NEG
Petrick198_MX437720_negCSH_BPL1415-0688-198.mzML
FILES
DERIVED_FILES
NEG
Petrick199_MX437720_negCSH_BPL1415-0689-199.mzML
FILES
DERIVED_FILES
NEG
Petrick200_MX437720_negCSH_BPL1415-0690-200.mzML
FILES
DERIVED_FILES
NEG
Petrick201_MX437720_negCSH_BPL1415-0691-201.mzML
FILES
DERIVED_FILES
NEG
Petrick203_MX437720_negCSH_BPL1415-0693-203.mzML
FILES
DERIVED_FILES
NEG
Petrick204_MX437720_negCSH_BPL1415-0694-204.mzML
FILES
DERIVED_FILES
NEG
Petrick205_MX437720_negCSH_BPL1415-0695-205.mzML
FILES
DERIVED_FILES
NEG
Petrick206_MX437720_negCSH_BPL1415-0696-206.mzML
FILES
DERIVED_FILES
NEG
Petrick207_MX437720_negCSH_BPL1415-0697-207.mzML
FILES
DERIVED_FILES
NEG
Petrick208_MX437720_negCSH_BPL1415-0698-208.mzML
FILES
DERIVED_FILES
NEG
Petrick209_MX437720_negCSH_BPL1415-0699-209.mzML
FILES
DERIVED_FILES
NEG
Petrick210_MX437720_negCSH_BPL1415-0700-210.mzML
FILES
DERIVED_FILES
NEG
Petrick211_MX437720_negCSH_BPL1415-0701-211.mzML
FILES
DERIVED_FILES
NEG
Petrick212_MX437720_negCSH_BPL1415-0702-212.mzML
FILES
DERIVED_FILES
NEG
Petrick214_MX437720_negCSH_BPL1415-0704-214.mzML
FILES
DERIVED_FILES
NEG
Petrick215_MX437720_negCSH_BPL1415-0705-215.mzML
FILES
DERIVED_FILES
NEG
Petrick216_MX437720_negCSH_BPL1415-0706-216.mzML
FILES
DERIVED_FILES
NEG
Petrick217_MX437720_negCSH_BPL1415-0707-217.mzML
FILES
DERIVED_FILES
NEG
Petrick218_MX437720_negCSH_BPL1415-0708-218.mzML
FILES
DERIVED_FILES
NEG
Petrick219_MX437720_negCSH_BPL1415-0709-219.mzML
FILES
DERIVED_FILES
NEG
Petrick220_MX437720_negCSH_BPL1415-0710-220.mzML
FILES
DERIVED_FILES
NEG
Petrick221_MX437720_negCSH_BPL1415-0711-221.mzML
FILES
DERIVED_FILES
NEG
Petrick222_MX437720_negCSH_BPL1415-0712-222.mzML
FILES
DERIVED_FILES
NEG
Petrick223_MX437720_negCSH_BPL1415-0713-223.mzML
FILES
DERIVED_FILES
NEG
Petrick224_MX437720_negCSH_BPL1415-0714-224.mzML
FILES
DERIVED_FILES
NEG
Petrick225_MX437720_negCSH_BPL1415-0715-225.mzML
FILES
DERIVED_FILES
NEG
Petrick227_MX437720_negCSH_BPL1415-0717-227.mzML
FILES
DERIVED_FILES
NEG
Petrick228_MX437720_negCSH_BPL1415-0718-228.mzML
FILES
DERIVED_FILES
NEG
Petrick229_MX437720_negCSH_BPL1415-0719-229.mzML
FILES
DERIVED_FILES
NEG
Petrick230_MX437720_negCSH_BPL1415-0720-230.mzML
FILES
DERIVED_FILES
NEG
Petrick231_MX437720_negCSH_BPL1415-0721-231.mzML
FILES
DERIVED_FILES
NEG
Petrick232_MX437720_negCSH_BPL1415-0722-232.mzML
FILES
DERIVED_FILES
NEG
Petrick233_MX437720_negCSH_BPL1415-0723-233.mzML
FILES
DERIVED_FILES
NEG
Petrick234_MX437720_negCSH_BPL1415-0724-234.mzML
FILES
DERIVED_FILES
NEG
Petrick236_MX437720_negCSH_BPL1415-0726-236.mzML
FILES
DERIVED_FILES
NEG
Petrick237_MX437720_negCSH_BPL1415-0727-237.mzML
FILES
DERIVED_FILES
NEG
Petrick238_MX437720_negCSH_BPL1415-0728-238.mzML
FILES
DERIVED_FILES
NEG
Petrick239_MX437720_negCSH_BPL1415-0729-239.mzML
FILES
DERIVED_FILES
NEG
Petrick240_MX437720_negCSH_BPL1415-0730-240.mzML
FILES
DERIVED_FILES
NEG
Petrick241_MX437720_negCSH_BPL1415-0731-241.mzML
FILES
DERIVED_FILES
NEG
Petrick242_MX437720_negCSH_BPL1415-0732-242.mzML
FILES
DERIVED_FILES
NEG
Petrick243_MX437720_negCSH_BPL1415-0733-243.mzML
FILES
DERIVED_FILES
NEG
Petrick244_MX437720_negCSH_BPL1415-0734-244.mzML
FILES
DERIVED_FILES
NEG
Petrick245_MX437720_negCSH_BPL1415-0735-245.mzML
FILES
DERIVED_FILES
NEG
Petrick246_MX437720_negCSH_BPL1415-0736-246.mzML
FILES
DERIVED_FILES
NEG
Petrick247_MX437720_negCSH_BPL1415-0737-247.mzML
FILES
DERIVED_FILES
NEG
Petrick248_MX437720_negCSH_BPL1415-0738-248.mzML
FILES
DERIVED_FILES
NEG
Petrick249_MX437720_negCSH_BPL1415-0739-249.mzML
FILES
DERIVED_FILES
NEG
Petrick250_MX437720_negCSH_BPL1415-0740-250.mzML
FILES
DERIVED_FILES
NEG
Petrick251_MX437720_negCSH_BPL1415-0741-251.mzML
FILES
DERIVED_FILES
NEG
Petrick252_MX437720_negCSH_BPL1415-0742-252.mzML
FILES
DERIVED_FILES
NEG
Petrick253_MX437720_negCSH_BPL1415-0743-253.mzML
FILES
DERIVED_FILES
NEG
Petrick255_MX437720_negCSH_BPL1415-0745-255.mzML
FILES
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NEG
Petrick256_MX437720_negCSH_BPL1415-0746-256.mzML
FILES
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NEG
Petrick257_MX437720_negCSH_BPL1415-0747-257.mzML
FILES
DERIVED_FILES
NEG
Petrick258_MX437720_negCSH_BPL1415-0748-258.mzML
FILES
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NEG
Petrick259_MX437720_negCSH_BPL1415-0749-259.mzML
FILES
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NEG
Petrick260_MX437720_negCSH_BPL1415-0750-260.mzML
FILES
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NEG
Petrick261_MX437720_negCSH_BPL1415-0751-261.mzML
FILES
DERIVED_FILES
NEG
Petrick262_MX437720_negCSH_BPL1415-0752-262.mzML
FILES
DERIVED_FILES
NEG
Petrick264_MX437720_negCSH_BPL1415-0754-264.mzML
FILES
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NEG
Petrick265_MX437720_negCSH_BPL1415-0755-265.mzML
FILES
DERIVED_FILES
NEG
Petrick266_MX437720_negCSH_BPL1415-0756-266.mzML
FILES
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NEG
Petrick267_MX437720_negCSH_BPL1415-0757-267.mzML
FILES
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NEG
Petrick268_MX437720_negCSH_BPL1415-0758-268.mzML
FILES
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NEG
Petrick269_MX437720_negCSH_BPL1415-0759-269.mzML
FILES
DERIVED_FILES
NEG
Petrick270_MX437720_negCSH_BPL1415-0760-270.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick272_MX437720_negCSH_BPL1415-0762-272.mzML
FILES
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NEG
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FILES
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NEG
Petrick275_MX437720_negCSH_BPL1415-0765-275.mzML
FILES
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NEG
Petrick276_MX437720_negCSH_BPL1415-0766-276.mzML
FILES
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NEG
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FILES
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NEG
Petrick278_MX437720_negCSH_BPL1415-0768-278.mzML
FILES
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NEG
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FILES
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NEG
Petrick280_MX437720_negCSH_BPL1415-0770-280.mzML
FILES
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NEG
Petrick281_MX437720_negCSH_BPL1415-0771-281.mzML
FILES
DERIVED_FILES
NEG
Petrick282_MX437720_negCSH_BPL1415-0772-282.mzML
FILES
DERIVED_FILES
NEG
Petrick283_MX437720_negCSH_BPL1415-0773-283.mzML
FILES
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NEG
Petrick284_MX437720_negCSH_BPL1415-0774-284.mzML
FILES
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NEG
Petrick286_MX437720_negCSH_BPL1415-0776-286.mzML
FILES
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NEG
Petrick287_MX437720_negCSH_BPL1415-0777-287.mzML
FILES
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NEG
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FILES
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NEG
Petrick289_MX437720_negCSH_BPL1415-0779-289.mzML
FILES
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NEG
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FILES
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NEG
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FILES
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NEG
Petrick292_MX437720_negCSH_BPL1415-0782-292.mzML
FILES
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NEG
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FILES
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NEG
Petrick294_MX437720_negCSH_BPL1415-0784-294.mzML
FILES
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NEG
Petrick295_MX437720_negCSH_BPL1415-0785-295.mzML
FILES
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NEG
Petrick297_MX437720_negCSH_BPL1415-0787-297.mzML
FILES
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NEG
Petrick298_MX437720_negCSH_BPL1415-0788-298.mzML
FILES
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NEG
Petrick299_MX437720_negCSH_BPL1415-0789-299.mzML
FILES
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NEG
Petrick300_MX437720_negCSH_BPL1415-0790-300.mzML
FILES
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Petrick301_MX437720_negCSH_BPL1415-0791-301.mzML
FILES
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Petrick302_MX437720_negCSH_BPL1415-0792-302.mzML
FILES
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NEG
Petrick303_MX437720_negCSH_BPL1415-0793-303.mzML
FILES
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NEG
Petrick304_MX437720_negCSH_BPL1415-0794-304.mzML
FILES
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NEG
Petrick305_MX437720_negCSH_BPL1415-0795-305.mzML
FILES
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NEG
Petrick306_MX437720_negCSH_BPL1415-0796-306.mzML
FILES
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NEG
Petrick307_MX437720_negCSH_BPL1415-0797-307.mzML
FILES
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NEG
Petrick308_MX437720_negCSH_BPL1415-0798-308.mzML
FILES
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NEG
Petrick309_MX437720_negCSH_BPL1415-0799-309.mzML
FILES
DERIVED_FILES
NEG
Petrick310_MX437720_negCSH_BPL1415-0800-310.mzML
FILES
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NEG
Petrick311_MX437720_negCSH_BPL1415-0801-311.mzML
FILES
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NEG
Petrick312_MX437720_negCSH_BPL1415-0802-312.mzML
FILES
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NEG
Petrick313_MX437720_negCSH_BPL1415-0803-313.mzML
FILES
DERIVED_FILES
NEG
Petrick314_MX437720_negCSH_BPL1415-0804-314.mzML
FILES
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NEG
Petrick316_MX437720_negCSH_BPL1415-0806-316.mzML
FILES
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NEG
Petrick317_MX437720_negCSH_BPL1415-0807-317.mzML
FILES
DERIVED_FILES
NEG
Petrick318_MX437720_negCSH_BPL1415-0808-318.mzML
FILES
DERIVED_FILES
NEG
Petrick319_MX437720_negCSH_BPL1415-0809-319.mzML
FILES
DERIVED_FILES
NEG
Petrick320_MX437720_negCSH_BPL1415-0810-320.mzML
FILES
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NEG
Petrick321_MX437720_negCSH_BPL1415-0811-321.mzML
FILES
DERIVED_FILES
NEG
Petrick323_MX437720_negCSH_BPL1415-0813-323.mzML
FILES
DERIVED_FILES
NEG
Petrick324_MX437720_negCSH_BPL1415-0814-324.mzML
FILES
DERIVED_FILES
NEG
Petrick325_MX437720_negCSH_BPL1415-0815-325.mzML
FILES
DERIVED_FILES
NEG
Petrick326_MX437720_negCSH_BPL1415-0816-326.mzML
FILES
DERIVED_FILES
NEG
Petrick327_MX437720_negCSH_BPL1415-0817-327.mzML
FILES
DERIVED_FILES
NEG
Petrick328_MX437720_negCSH_BPL1415-0818-328.mzML
FILES
DERIVED_FILES
NEG
Petrick329_MX437720_negCSH_BPL1415-0819-329.mzML
FILES
DERIVED_FILES
NEG
Petrick330_MX437720_negCSH_BPL1415-0820-330.mzML
FILES
DERIVED_FILES
NEG
Petrick332_MX437720_negCSH_BPL1415-0822-332.mzML
FILES
DERIVED_FILES
NEG
Petrick333_MX437720_negCSH_BPL1415-0823-333.mzML
FILES
DERIVED_FILES
NEG
Petrick334_MX437720_negCSH_BPL1415-0824-334.mzML
FILES
DERIVED_FILES
NEG
Petrick335_MX437720_negCSH_BPL1415-0825-335.mzML
FILES
DERIVED_FILES
NEG
Petrick336_MX437720_negCSH_BPL1415-0826-336.mzML
FILES
DERIVED_FILES
NEG
Petrick337_MX437720_negCSH_BPL1415-0827-337.mzML
FILES
DERIVED_FILES
NEG
Petrick338_MX437720_negCSH_BPL1415-0828-338.mzML
FILES
DERIVED_FILES
NEG
Petrick339_MX437720_negCSH_BPL1415-0829-339.mzML
FILES
DERIVED_FILES
NEG
Petrick340_MX437720_negCSH_BPL1415-0830-340.mzML
FILES
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NEG
Petrick341_MX437720_negCSH_BPL1415-0831-341.mzML
FILES
DERIVED_FILES
NEG
Petrick343_MX437720_negCSH_BPL1415-0833-343.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick346_MX437720_negCSH_BPL1415-0836-346.mzML
FILES
DERIVED_FILES
NEG
Petrick347_MX437720_negCSH_BPL1415-0837-347.mzML
FILES
DERIVED_FILES
NEG
Petrick348_MX437720_negCSH_BPL1415-0838-348.mzML
FILES
DERIVED_FILES
NEG
Petrick349_MX437720_negCSH_BPL1415-0839-349.mzML
FILES
DERIVED_FILES
NEG
Petrick350_MX437720_negCSH_BPL1415-0840-350.mzML
FILES
DERIVED_FILES
NEG
Petrick351_MX437720_negCSH_BPL1415-0841-351.mzML
FILES
DERIVED_FILES
NEG
Petrick352_MX437720_negCSH_BPL1415-0842-352.mzML
FILES
DERIVED_FILES
NEG
Petrick353_MX437720_negCSH_BPL1415-0843-353.mzML
FILES
DERIVED_FILES
NEG
Petrick354_MX437720_negCSH_BPL1415-0844-354.mzML
FILES
DERIVED_FILES
NEG
Petrick355_MX437720_negCSH_BPL1415-0845-355.mzML
FILES
DERIVED_FILES
NEG
Petrick356_MX437720_negCSH_BPL1415-0846-356.mzML
FILES
DERIVED_FILES
NEG
Petrick357_MX437720_negCSH_BPL1415-0847-357.mzML
FILES
DERIVED_FILES
NEG
Petrick358_MX437720_negCSH_BPL1415-0848-358.mzML
FILES
DERIVED_FILES
NEG
Petrick359_MX437720_negCSH_BPL1415-0849-359.mzML
FILES
DERIVED_FILES
NEG
Petrick360_MX437720_negCSH_BPL1415-0850-360.mzML
FILES
DERIVED_FILES
NEG
Petrick362_MX437720_negCSH_BPL1415-0852-362.mzML
FILES
DERIVED_FILES
NEG
Petrick363_MX437720_negCSH_BPL1415-0853-363.mzML
FILES
DERIVED_FILES
NEG
Petrick364_MX437720_negCSH_BPL1415-0854-364.mzML
FILES
DERIVED_FILES
NEG
Petrick365_MX437720_negCSH_BPL1415-0855-365.mzML
FILES
DERIVED_FILES
NEG
Petrick366_MX437720_negCSH_BPL1415-0856-366.mzML
FILES
DERIVED_FILES
NEG
Petrick367_MX437720_negCSH_BPL1415-0857-367.mzML
FILES
DERIVED_FILES
NEG
Petrick369_MX437720_negCSH_BPL1415-0859-369.mzML
FILES
DERIVED_FILES
NEG
Petrick370_MX437720_negCSH_BPL1415-0860-370.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick372_MX437720_negCSH_BPL1415-0862-372.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick374_MX437720_negCSH_BPL1415-0864-374.mzML
FILES
DERIVED_FILES
NEG
Petrick375_MX437720_negCSH_BPL1415-0865-375.mzML
FILES
DERIVED_FILES
NEG
Petrick376_MX437720_negCSH_BPL1415-0866-376.mzML
FILES
DERIVED_FILES
NEG
Petrick377_MX437720_negCSH_BPL1415-0867-377.mzML
FILES
DERIVED_FILES
NEG
Petrick378_MX437720_negCSH_BPL1415-0868-378.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick381_MX437720_negCSH_BPL1415-0871-381.mzML
FILES
DERIVED_FILES
NEG
Petrick382_MX437720_negCSH_BPL1415-0872-382.mzML
FILES
DERIVED_FILES
NEG
Petrick383_MX437720_negCSH_BPL1415-0873-383.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick385_MX437720_negCSH_BPL1415-0875-385.mzML
FILES
DERIVED_FILES
NEG
Petrick386_MX437720_negCSH_BPL1415-0876-386.mzML
FILES
DERIVED_FILES
NEG
Petrick387_MX437720_negCSH_BPL1415-0877-387.mzML
FILES
DERIVED_FILES
NEG
Petrick388_MX437720_negCSH_BPL1415-0878-388.mzML
FILES
DERIVED_FILES
NEG
Petrick389_MX437720_negCSH_BPL1415-0879-389.mzML
FILES
DERIVED_FILES
NEG
Petrick390_MX437720_negCSH_BPL1415-0880-390.mzML
FILES
DERIVED_FILES
NEG
Petrick391_MX437720_negCSH_BPL1415-0881-391.mzML
FILES
DERIVED_FILES
NEG
Petrick393_MX437720_negCSH_BPL1415-0883-393.mzML
FILES
DERIVED_FILES
NEG
Petrick394_MX437720_negCSH_BPL1415-0884-394.mzML
FILES
DERIVED_FILES
NEG
Petrick395_MX437720_negCSH_BPL1415-0885-395.mzML
FILES
DERIVED_FILES
NEG
Petrick396_MX437720_negCSH_BPL1415-0886-396.mzML
FILES
DERIVED_FILES
NEG
Petrick397_MX437720_negCSH_BPL1415-0887-397.mzML
FILES
DERIVED_FILES
NEG
Petrick398_MX437720_negCSH_BPL1415-0888-398.mzML
FILES
DERIVED_FILES
NEG
Petrick399_MX437720_negCSH_BPL1415-0889-399.mzML
FILES
DERIVED_FILES
NEG
Petrick400_MX437720_negCSH_BPL1415-0890-400.mzML
FILES
DERIVED_FILES
NEG
Petrick401_MX437720_negCSH_BPL1415-0891-401.mzML
FILES
DERIVED_FILES
NEG
Petrick402_MX437720_negCSH_BPL1415-0892-402.mzML
FILES
DERIVED_FILES
NEG
Petrick404_MX437720_negCSH_BPL1415-0894-404.mzML
FILES
DERIVED_FILES
NEG
Petrick405_MX437720_negCSH_BPL1415-0895-405.mzML
FILES
DERIVED_FILES
NEG
Petrick406_MX437720_negCSH_BPL1415-0896-406.mzML
FILES
DERIVED_FILES
NEG
Petrick407_MX437720_negCSH_BPL1415-0897-407.mzML
FILES
DERIVED_FILES
NEG
Petrick408_MX437720_negCSH_BPL1415-0898-408.mzML
FILES
DERIVED_FILES
NEG
Petrick409_MX437720_negCSH_BPL1415-0899-409.mzML
FILES
DERIVED_FILES
NEG
Petrick410_MX437720_negCSH_BPL1415-0900-410.mzML
FILES
DERIVED_FILES
NEG
Petrick411_MX437720_negCSH_BPL1415-0901-411.mzML
FILES
DERIVED_FILES
NEG
Petrick412_MX437720_negCSH_BPL1415-0902-412.mzML
FILES
DERIVED_FILES
NEG
Petrick413_MX437720_negCSH_BPL1415-0903-413.mzML
FILES
DERIVED_FILES
NEG
Petrick414_MX437720_negCSH_BPL1415-0904-414.mzML
FILES
DERIVED_FILES
NEG
Petrick415_MX437720_negCSH_BPL1415-0905-415.mzML
FILES
DERIVED_FILES
NEG
Petrick417_MX437720_negCSH_BPL1415-0907-417.mzML
FILES
DERIVED_FILES
NEG
Petrick418_MX437720_negCSH_BPL1415-0908-418.mzML
FILES
DERIVED_FILES
NEG
Petrick419_MX437720_negCSH_BPL1415-0909-419.mzML
FILES
DERIVED_FILES
NEG
Petrick420_MX437720_negCSH_BPL1415-0910-420.mzML
FILES
DERIVED_FILES
NEG
Petrick421_MX437720_negCSH_BPL1415-0911-421.mzML
FILES
DERIVED_FILES
NEG
Petrick422_MX437720_negCSH_BPL1415-0912-422.mzML
FILES
DERIVED_FILES
NEG
Petrick424_MX437720_negCSH_BPL1415-0914-424.mzML
FILES
DERIVED_FILES
NEG
Petrick425_MX437720_negCSH_BPL1415-0915-425.mzML
FILES
DERIVED_FILES
NEG
Petrick426_MX437720_negCSH_BPL1415-0916-426.mzML
FILES
DERIVED_FILES
NEG
Petrick427_MX437720_negCSH_BPL1415-0917-427.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick429_MX437720_negCSH_BPL1415-0919-429.mzML
FILES
DERIVED_FILES
NEG
Petrick430_MX437720_negCSH_BPL1415-0920-430.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
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DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick435_MX437720_negCSH_BPL1415-0925-435.mzML
FILES
DERIVED_FILES
NEG
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FILES
DERIVED_FILES
NEG
Petrick437_MX437720_negCSH_BPL1415-0927-437.mzML
FILES
DERIVED_FILES
NEG
Petrick438_MX437720_negCSH_BPL1415-0928-438.mzML
FILES
DERIVED_FILES
NEG
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DERIVED_FILES
NEG
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DERIVED_FILES
NEG
Petrick441_MX437720_negCSH_BPL1415-0931-441.mzML
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DERIVED_FILES
NEG
Petrick442_MX437720_negCSH_BPL1415-0932-442.mzML
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DERIVED_FILES
NEG
Petrick443_MX437720_negCSH_BPL1415-0933-443.mzML
FILES
DERIVED_FILES
NEG
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NEG
Petrick446_MX437720_negCSH_BPL1415-0936-446.mzML
FILES
DERIVED_FILES
NEG
Petrick447_MX437720_negCSH_BPL1415-0937-447.mzML
FILES
DERIVED_FILES
NEG
Petrick448_MX437720_negCSH_BPL1415-0938-448.mzML
FILES
DERIVED_FILES
NEG
Petrick449_MX437720_negCSH_BPL1415-0939-449.mzML
FILES
DERIVED_FILES
NEG
Petrick450_MX437720_negCSH_BPL1415-0940-450.mzML
FILES
DERIVED_FILES
NEG
Petrick451_MX437720_negCSH_BPL1415-0941-451.mzML
FILES
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NEG
Petrick453_MX437720_negCSH_BPL1415-0943-453.mzML
FILES
DERIVED_FILES
NEG
Petrick454_MX437720_negCSH_BPL1415-0944-454.mzML
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DERIVED_FILES
NEG
Petrick455_MX437720_negCSH_BPL1415-0945-455.mzML
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DERIVED_FILES
NEG
Petrick456_MX437720_negCSH_BPL1415-0946-456.mzML
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DERIVED_FILES
NEG
Petrick457_MX437720_negCSH_BPL1415-0947-457.mzML
FILES
DERIVED_FILES
NEG
Petrick458_MX437720_negCSH_BPL1415-0948-458.mzML
FILES
DERIVED_FILES
NEG
Petrick459_MX437720_negCSH_BPL1415-0949-459.mzML
FILES
DERIVED_FILES
NEG
Petrick460_MX437720_negCSH_BPL1415-0950-460.mzML
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NEG
Petrick461_MX437720_negCSH_BPL1415-0951-461.mzML
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DERIVED_FILES
NEG
Petrick462_MX437720_negCSH_BPL1415-0952-462.mzML
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NEG
Petrick464_MX437720_negCSH_BPL1415-0954-464.mzML
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DERIVED_FILES
NEG
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NEG
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NEG
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NEG
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NEG
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NEG
Petrick470_MX437720_negCSH_BPL1415-0960-470.mzML
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NEG
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FILES
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NEG
Petrick472_MX437720_negCSH_BPL1415-0962-472.mzML
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NEG
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NEG
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FILES
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NEG
Petrick475_MX437720_negCSH_BPL1415-0965-475.mzML
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NEG
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NEG
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NEG
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FILES
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NEG
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NEG
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NEG
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NEG
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NEG
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NEG
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NEG
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NEG
PoolQC011_MX437720_negCSH_postPetrick100.mzML
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NEG
PoolQC012_MX437720_negCSH_postPetrick110.mzML
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NEG
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NEG
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NEG
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FILES
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POS
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FILES
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POS
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FILES
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POS
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Petrick441_MX437720_posCSH_BPL1415-0931-441.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Diagnosis
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1176 rows!
Added 1176 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7789
Request successful!
SampleCollectionMethod: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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 71%|███████   | 1177/1662 [2:21:19<59:11,  7.32s/it]  
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 480: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Amino acid supplementation
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS779
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS78
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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LCMS_Co-culture
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LCMS_Co-culture
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LCMS_Co-culture
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LCMS_Co-culture
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LCMS_Hepatocytes
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LCMS_Hepatocytes
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LCMS_Hepatocytes
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LCMS_Hepatocytes
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LCMS_Hepatocytes
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LCMS_Hepatocytes
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LCMS_Hepatocytes
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
Negative_mode
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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Blank-1.raw
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LCMS_Mouse_Liver
Positive_mode
Blank-2.raw
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LCMS_Mouse_Liver
Positive_mode
Blank-3.raw
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LCMS_Mouse_Liver
Positive_mode
Blank-4.raw
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
Positive_mode
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
Positive_mode
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
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LCMS_Mouse_Liver
Positive_mode
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FILES
LCMS_Mouse_Liver
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FILES
LCMS_Mouse_Liver
Positive_mode
WD_mouse2_replicate1.raw
FILES
LCMS_Mouse_Liver
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FILES
LCMS_Mouse_Liver
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FILES
LCMS_Mouse_Liver
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FILES
LCMS_Mouse_Liver
Positive_mode
WD_mouse3_replicate2.raw
FILES
LCMS_Mouse_Liver
Positive_mode
WD_mouse3_replicate3.raw
FILES
MSImaging
F1
Input
MALDI
20171107_F1_DHBpos_p70_s50.RAW
FILES
MSImaging
F2
Input
MALDI
20171107_F2_DHBpos_p70_s50.RAW
FILES
MSImaging
F3
Input
MALDI
20171107_F3_DHBpos_p70_s50.RAW
FILES
MSImaging
F4
Input
MALDI
20171107_F4_DHBpos_p70_s50.RAW
FILES
MSImaging
FI1
Input
MALDI
20171107_FI1_DHBpos_p70_s50.RAW
FILES
MSImaging
FI2
Input
MALDI
20171107_FI2_DHBpos_p70_s50.RAW/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/Metabolights2REDU.py:173: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df_study['row_id'] = range(1, len(df_study) + 1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 71%|███████   | 1178/1662 [2:21:32<1:12:34,  9.00s/it]
FILES
MSImaging
FI3
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20171107_FI3_DHBpos_p70_s50.RAW
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MSImaging
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20171107_FIT4_DHBpos_p70_s50.RAW
FILES
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14052018_coculture_HeLa_NIH3T3_H3_Neg.RAW
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MALDI
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MALDI
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MALDI
20171107_U4_DHBpos_p70_s50.RAW
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Input
MALDI
14052018_coculture_HeLa_NIH3T3_C2_Neg.RAW
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14052018_coculture_HeLa_NIH3T3_C4_Neg.RAW
IGNORED:  Assay_Spectrum representation
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Spatial resolution
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IGNORED:  filepath
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Source REF.4
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Number of rows removed due to not enough metadata: 31
Returning 170 rows!
Added 170 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS780
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975 MSD: missing value
IonizationSourceAndPolarity:
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ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  filepath
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
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IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  extension
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
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Number of rows removed due to not enough metadata: 0
Returning 862 rows!
Added 862 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS781
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7832
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS784
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
  Synapt HDMS QTOF MS (Waters, Manchester, UK): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████   | 1182/1662 [2:21:58<52:50,  6.60s/it]
IGNORED:  Samples_Term Source REF.3
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Number of rows removed due to not enough metadata: 3
Returning 219 rows!
Added 219 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7859
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Samples_Term Accession Number/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████   | 1183/1662 [2:22:06<54:37,  6.84s/it]
 71%|███████   | 1184/1662 [2:22:07<40:12,  5.05s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████▏  | 1185/1662 [2:22:12<41:58,  5.28s/it]
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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Number of rows removed due to not enough metadata: 129
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS787
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7872
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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18-MeOH-MU-A-C-R-pos.mzML
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20-MeOH-MU-B-C-LPS-pos.mzML
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22-MeOH-MU-B-C-LPS-pos.mzML
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7-MeOH-MS-B-C-LPS-pos.mzML
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8-MeOH-EV-B-C-LPS-pos.mzML
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28-MeOH-B-C-BCK1-neg.d
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Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7878
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
neg_C1.raw
FILES
RAW_FILES
NEG/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 71%|███████▏  | 1186/1662 [2:22:17<40:22,  5.09s/it]
neg_C10.raw
FILES
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Number of rows removed due to not enough metadata: 0
Returning 66 rows!
Added 66 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS788
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Thermo Scientific Exactive: missing value
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FILES
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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Number of rows removed due to not enough metadata: 0
Returning 210 rows!
Added 210 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS789
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Sample type
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Number of rows removed due to not enough metadata: 0
Returning 25 rows!
Added 25 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS79
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS790
Request successful!
SampleCollectionMethod: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 152 rows!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1190/1662 [2:22:37<39:43,  5.05s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 72%|███████▏  | 1191/1662 [2:22:48<52:32,  6.69s/it]
 72%|███████▏  | 1192/1662 [2:22:48<38:39,  4.94s/it]
Added 152 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7919
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
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TMIC00WV
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FILES
TMIC00WV
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TMIC00WV
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TMIC00WV
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FILES
TMIC00WV
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TMIC00WV
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FILES
TMIC00WV
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FILES
TMIC00WV
TMIC00WV_PLATE 4_Panel B.wiff
FILES
TMIC00WV
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FILES
TMIC00WV
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FILES
TMIC00WV
TMIC00WV_PLATE 6_Panel A.wiff
FILES
TMIC00WV
TMIC00WV_PLATE 6_Panel B.wiff
FILES
TMIC00WV
TMIC00WV_PLATE 7_Panel A.wiff
FILES
TMIC00WV
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FILES
TMIC00WV
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FILES
TMIC00WV
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FILES
TMIC00WV
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FILES
TMIC00WV
TMIC00WV_PLATE 9_Panel B.wiff
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IGNORED:  Samples_Term Accession Number...3
IGNORED:  Assay_Guard column
IGNORED:  Samples_NMR Batch
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 52 rows!
Added 52 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS794
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7943
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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pd neg 1.wiff
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1193/1662 [2:22:52<35:04,  4.49s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1194/1662 [2:22:57<37:21,  4.79s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1195/1662 [2:23:02<36:41,  4.71s/it]
 72%|███████▏  | 1196/1662 [2:23:05<32:15,  4.15s/it]
IGNORED:  Samples_Organism part
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Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS797
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
Dotsha01.mzML
FILES
Dotsha02.mzML
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Dotsha03.mzML
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Dotsha06.mzML
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Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7978
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX Triple Quad 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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Fh1_N.mzML
FILES
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Fh2_N.mzML
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Fh3_N.mzML
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS798
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7996/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1197/1662 [2:23:09<33:10,  4.28s/it]
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TRACE DSQ II: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
20120522-zhxl-A1-1.raw
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RAW_FILES
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Number of rows removed due to not enough metadata: 0
Returning 92 rows!
Added 92 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7999
Request successful!
SampleCollectionMethod: ADDED!
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XS3_2021_8_24_RS_059.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 102 rows!
Added 102 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS801
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1199/1662 [2:24:18<2:52:25, 22.34s/it]
IGNORED:  Is Fluid
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Number of rows removed due to not enough metadata: 191
Returning 2663 rows!
Added 2663 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8012
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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DOIDCommonName: ADDED!
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IGNORED:  Assay_Column type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1200/1662 [2:24:25<2:16:09, 17.68s/it]
 72%|███████▏  | 1201/1662 [2:24:26<1:37:57, 12.75s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1202/1662 [2:24:32<1:20:48, 10.54s/it]
Number of rows removed due to not enough metadata: 3
Returning 99 rows!
Added 99 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS802
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS803
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  filepath
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_age
IGNORED:  Assay_Term Source REF.5
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Derivatization1
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
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IGNORED:  extension
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Location
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Derivatization2
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 141 rows!
Added 141 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8034
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6460 Triple Quadrupole: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
Blank-r001.mzML
FILES
DERIVED_FILES
Blank-r002.mzML
FILES
DERIVED_FILES
Blank-r003.mzML
FILES
DERIVED_FILES
Cal-01.mzML
FILES
DERIVED_FILES
Cal-02.mzML
FILES
DERIVED_FILES
Cal-03.mzML
FILES
DERIVED_FILES
Cal-04.mzML
FILES
DERIVED_FILES
Cal-05.mzML
FILES
DERIVED_FILES
Cal-06.mzML
FILES
DERIVED_FILES
Cal-07.mzML
FILES
DERIVED_FILES
Cal-08.mzML
FILES
DERIVED_FILES
Cal-09.mzML
FILES
DERIVED_FILES
Cal-10.mzML
FILES
DERIVED_FILES
Cal-11.mzML
FILES
DERIVED_FILES
Cal-12.mzML
FILES
DERIVED_FILES
Cal-13.mzML
FILES
DERIVED_FILES
Cal-14.mzML
FILES
DERIVED_FILES
Cal-15.mzML
FILES
DERIVED_FILES
QcA-r001.mzML
FILES
DERIVED_FILES
QcA-r002.mzML
FILES
DERIVED_FILES
QcA-r003.mzML
FILES
DERIVED_FILES
QcA-r004.mzML
FILES
DERIVED_FILES
QcA-r005.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1203/1662 [2:24:38<1:10:23,  9.20s/it]
FILES
DERIVED_FILES
QcB-r001.mzML
FILES
DERIVED_FILES
QcB-r002.mzML
FILES
DERIVED_FILES
QcB-r003.mzML
FILES
DERIVED_FILES
QcB-r004.mzML
FILES
DERIVED_FILES
QcB-r005.mzML
FILES
DERIVED_FILES
Sample-710X2-1.mzML
FILES
DERIVED_FILES
Sample-721C-2.mzML
FILES
DERIVED_FILES
Sample-77C-1.mzML
FILES
DERIVED_FILES
Sample-831H-1.mzML
FILES
DERIVED_FILES
Sample-831H-2.mzML
FILES
DERIVED_FILES
Sample-831SN-1.mzML
FILES
DERIVED_FILES
Sample-831SN-2.mzML
FILES
DERIVED_FILES
Sample-831X1-1.mzML
FILES
DERIVED_FILES
Sample-831X2-1.mzML
FILES
DERIVED_FILES
Sample-910H-1.mzML
FILES
DERIVED_FILES
Sample-93S-1.mzML
FILES
DERIVED_FILES
Sample-93X1-1.mzML
FILES
DERIVED_FILES
Sample-97H-1.mzML
FILES
DERIVED_FILES
Sample-97X1-5-1.mzML
FILES
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Sample-97X2-1.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 25
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS805
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20160816_DHB_pos_MALDI_Hopanoid_562.48_70_CE_100-600_A25.mzML
FILES
20160920_DHB_pos_B.puteoserpentis_cryo_MSMS_869.537_40eV_A31.mzML
FILES
20161012_Bathy_puteoserpentis_cryo_DHB_pos_FullMS_loop1_MSMS_20eV_scan_scenario_01_350-1400_5um_300x240_A33.mzML
FILES
20161028_DHB_pos_B._put_MSMS_813.46_50eV_A31.mzML
FILES
20161028_DHB_pos_B._put_MSMS_843.52_50eV_A31.mzML
FILES
MS9_20170212_DHB_pos_100-900_10um_10x10_A30_B.put_732_15eV_2.mzML
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Is Fluid
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Assay_Term Source REF.8
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_MALDI matrix
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Metabolite database other
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Assay_Alpha-tester
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Assay_Metabolite database
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Sample stabilisation
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Is Organ
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  Assay_MALDI matrix other
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Scan type
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_MALDI matrix application
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Target material
IGNORED:  Assay_Sample stabilisation other
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_MALDI matrix application other
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Sample Growth Conditions
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Sample Growth Conditions Other
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Tissue modification other
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 72%|███████▏  | 1204/1662 [2:24:41<57:10,  7.49s/it]  
 73%|███████▎  | 1205/1662 [2:24:42<41:51,  5.50s/it]
 73%|███████▎  | 1206/1662 [2:24:43<31:11,  4.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1207/1662 [2:24:47<30:37,  4.04s/it]
IGNORED:  Assay_Term Source REF.11
IGNORED:  Samples_Pipeline stage
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS807
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS809
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS81
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20100412_PL-46.RAW
FILES
20100412_PL-47.RAW
FILES
20100412_PL-48.RAW
FILES
20100412_PL-49.RAW
FILES
20100412_PL-50.RAW
FILES
20100412_PL-51.RAW
FILES
20100412_PL-52.RAW
FILES
20100412_PL-53.RAW
FILES
20100412_PL-54.RAW
FILES
20100412_PL-55.RAW
FILES
20100412_PL-56.RAW
FILES
20100412_PL-57.RAW
FILES
20100412_TAG-46.RAW
FILES
20100412_TAG-47.RAW
FILES
20100412_TAG-48.RAW
FILES
20100412_TAG-49.RAW
FILES
20100412_TAG-50.RAW
FILES
20100412_TAG-51.RAW
FILES
20100412_TAG-52.RAW
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8105
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  LECO Pegasus BT TOFMS: missing value
  Agilent 6546 Q-TOF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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Number of rows removed due to not enough metadata: 0
Returning 253 rows!
Added 253 samples./app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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 73%|███████▎  | 1209/1662 [2:24:56<29:43,  3.94s/it]
 73%|███████▎  | 1210/1662 [2:24:57<22:41,  3.01s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1211/1662 [2:25:01<24:50,  3.31s/it]
 73%|███████▎  | 1212/1662 [2:25:02<19:41,  2.63s/it]
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS811
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS812
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS814
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX API 4000: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
F10-1.mzML
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F8-3.mzML
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F9-1.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Olive fruit maturation
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS816
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8183
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
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IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Cohort
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1213/1662 [2:25:06<24:06,  3.22s/it]
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 108 rows!
Added 108 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS821
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
  AB SCIEX QTRAP 5501: missing value
  AB SCIEX QTRAP 5502: missing value
  AB SCIEX QTRAP 5503: missing value
  AB SCIEX QTRAP 5504: missing value
  AB SCIEX QTRAP 5505: missing value
  AB SCIEX QTRAP 5506: missing value
  AB SCIEX QTRAP 5507: missing value
  AB SCIEX QTRAP 5508: missing value
  AB SCIEX QTRAP 5509: missing value
  AB SCIEX QTRAP 5510: missing value
  AB SCIEX QTRAP 5511: missing value
  AB SCIEX QTRAP 5512: missing value
  AB SCIEX QTRAP 5513: missing value
  AB SCIEX QTRAP 5514: missing value
  AB SCIEX QTRAP 5515: missing value
  AB SCIEX QTRAP 5516: missing value
  AB SCIEX QTRAP 5517: missing value
  AB SCIEX QTRAP 5518: missing value
  AB SCIEX QTRAP 5519: missing value
  AB SCIEX QTRAP 5520: missing value
  AB SCIEX QTRAP 5521: missing value
  AB SCIEX QTRAP 5522: missing value
  AB SCIEX QTRAP 5523: missing value
  AB SCIEX QTRAP 5524: missing value
  AB SCIEX QTRAP 5525: missing value
  AB SCIEX QTRAP 5526: missing value
  AB SCIEX QTRAP 5527: missing value
  AB SCIEX QTRAP 5528: missing value
  AB SCIEX QTRAP 5529: missing value
  AB SCIEX QTRAP 5530: missing value
  AB SCIEX QTRAP 5531: missing value
  AB SCIEX QTRAP 5532: missing value
  AB SCIEX QTRAP 5533: missing value
  AB SCIEX QTRAP 5534: missing value
  AB SCIEX QTRAP 5535: missing value
  AB SCIEX QTRAP 5536: missing value
  AB SCIEX QTRAP 5537: missing value
  AB SCIEX QTRAP 5538: missing value
  AB SCIEX QTRAP 5539: missing value
  AB SCIEX QTRAP 5540: missing value
  AB SCIEX QTRAP 5541: missing value
  AB SCIEX QTRAP 5542: missing value
  AB SCIEX QTRAP 5543: missing value
  AB SCIEX QTRAP 5544: missing value
  AB SCIEX QTRAP 5545: missing value
  AB SCIEX QTRAP 5546: missing value
  AB SCIEX QTRAP 5547: missing value
  AB SCIEX QTRAP 5548: missing value
  AB SCIEX QTRAP 5549: missing value
  AB SCIEX QTRAP 5550: missing value
  AB SCIEX QTRAP 5551: missing value
  AB SCIEX QTRAP 5552: missing value
  AB SCIEX QTRAP 5553: missing value
  AB SCIEX QTRAP 5554: missing value
  AB SCIEX QTRAP 5555: missing value
  AB SCIEX QTRAP 5556: missing value
  AB SCIEX QTRAP 5557: missing value
  AB SCIEX QTRAP 5558: missing value
  AB SCIEX QTRAP 5559: missing value
  AB SCIEX QTRAP 5560: missing value
  AB SCIEX QTRAP 5561: missing value
  AB SCIEX QTRAP 5562: missing value
  AB SCIEX QTRAP 5563: missing value
  AB SCIEX QTRAP 5564: missing value
  AB SCIEX QTRAP 5565: missing value
  AB SCIEX QTRAP 5566: missing value
  AB SCIEX QTRAP 5567: missing value
  AB SCIEX QTRAP 5568: missing value
  AB SCIEX QTRAP 5569: missing value
  AB SCIEX QTRAP 5570: missing value
  AB SCIEX QTRAP 5571: missing value
  AB SCIEX QTRAP 5572: missing value
  AB SCIEX QTRAP 5573: missing value
  AB SCIEX QTRAP 5574: missing value
  AB SCIEX QTRAP 5575: missing value
  AB SCIEX QTRAP 5576: missing value
  AB SCIEX QTRAP 5577: missing value
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  AB SCIEX QTRAP 5579: missing value
  AB SCIEX QTRAP 5580: missing value
  AB SCIEX QTRAP 5581: missing value
  AB SCIEX QTRAP 5582: missing value
  AB SCIEX QTRAP 5583: missing value
  AB SCIEX QTRAP 5584: missing value
  AB SCIEX QTRAP 5585: missing value
  AB SCIEX QTRAP 5586: missing value
  AB SCIEX QTRAP 5587: missing value
  AB SCIEX QTRAP 5588: missing value
  AB SCIEX QTRAP 5589: missing value
  AB SCIEX QTRAP 5590: missing value
  AB SCIEX QTRAP 5591: missing value
  AB SCIEX QTRAP 5592: missing value
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  AB SCIEX QTRAP 5604: missing value
  AB SCIEX QTRAP 5605: missing value
  AB SCIEX QTRAP 5606: missing value
ChromatographyAndPhase:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 231 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8216
Request successful!
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CN_FZTM190000960.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS822
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KIT3-0-5504_1020806801_94_0_1_1_00_1020806539.wiff/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1216/1662 [2:25:36<58:15,  7.84s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1217/1662 [2:25:41<51:49,  6.99s/it]
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Number of rows removed due to not enough metadata: 32
Returning 339 rows!
Added 339 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8236
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS824
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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KIT3-0-5504_1020806801_46_1_1_1_00_1020806316.wiff
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KIT3-0-5504_1020806801_58_0_1_1_00_1020806229.wiff
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KIT3-0-5504_1020806801_64_0_1_1_00_1020806097.wiff
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KIT3-0-5504_1020806801_71_1_1_1_00_1020806403.wiff
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KIT3-0-5504_1020806801_72_1_1_1_00_1020806127.wiff
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KIT3-0-5504_1020806801_74_1_1_1_00_1020806146.wiff
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KIT3-0-5504_1020806801_75_1_1_1_00_1020806321.wiff
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KIT3-0-5504_1020806801_76_1_1_1_00_1020806170.wiff
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KIT3-0-5504_1020806801_78_0_1_1_00_1020806248.wiff
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KIT3-0-5504_1020806801_78_1_1_1_00_1020806248.wiff
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KIT3-0-5504_1020806801_79_0_1_1_00_1020806108.wiff
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KIT3-0-5504_1020806801_79_1_1_1_00_1020806108.wiff
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KIT3-0-5504_1020806801_81_0_1_1_00_1020806291.wiff
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KIT3-0-5504_1020806801_81_1_1_1_00_1020806291.wiff
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KIT3-0-5504_1020806801_84_0_1_1_00_1020806422.wiff
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KIT3-0-5504_1020806801_84_1_1_1_00_1020806422.wiff
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KIT3-0-5504_1020806801_86_0_1_1_00_1020806461.wiff
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KIT3-0-5504_1020806801_86_1_1_1_00_1020806461.wiff
FILES
KIT3-0-5504_1020806801_87_0_1_1_00_1020806199.wiff
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KIT3-0-5504_1020806801_87_1_1_1_00_1020806199.wiff
FILES
KIT3-0-5504_1020806801_88_0_1_1_00_1020806271.wiff
FILES
KIT3-0-5504_1020806801_88_1_1_1_00_1020806271.wiff
FILES
KIT3-0-5504_1020806801_89_0_1_1_00_1020806214.wiff
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KIT3-0-5504_1020806801_89_1_1_1_00_1020806214.wiff
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KIT3-0-5504_1020806801_90_0_1_1_00_1020806388.wiff
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KIT3-0-5504_1020806801_90_1_1_1_00_1020806388.wiff
FILES
KIT3-0-5504_1020806801_92_0_1_1_00_1020806165.wiff/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1218/1662 [2:25:51<59:19,  8.02s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1219/1662 [2:25:55<49:17,  6.68s/it]
FILES
KIT3-0-5504_1020806801_92_1_1_1_00_1020806165.wiff
FILES
KIT3-0-5504_1020806801_93_0_1_1_00_1020806456.wiff
FILES
KIT3-0-5504_1020806801_93_1_1_1_00_1020806456.wiff
FILES
KIT3-0-5504_1020806801_96_0_1_1_00_1020806441.wiff
FILES
KIT3-0-5504_1020806801_96_1_1_1_00_1020806441.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Well Position
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 16
Returning 159 rows!
Added 159 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS825
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion Lumos Tribrid: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
MEC007_LIPID01_100520_20180418_PC.raw
FILES
MEC007_LIPID01_100520_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100521_20180418_PC.raw
FILES
MEC007_LIPID01_100521_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100522_20180418_PC.raw
FILES
MEC007_LIPID01_100522_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100526_20180418_PC.raw
FILES
MEC007_LIPID01_100526_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100527_20180418_PC.raw
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MEC007_LIPID01_100527_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100528_20180418_PC.raw
FILES
MEC007_LIPID01_100528_2_20180822_Cer_CerPE.raw
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MEC007_LIPID01_100529_20180418_PC.raw
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MEC007_LIPID01_100529_2_20180822_Cer_CerPE.raw
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MEC007_LIPID01_100530_20180418_PC.raw
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MEC007_LIPID01_100530_2_20180822_Cer_CerPE.raw
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MEC007_LIPID01_100531_20180418_PC.raw
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MEC007_LIPID01_100531_2_20180822_Cer_CerPE.raw
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MEC007_LIPID01_100532_20180418_PC.raw
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MEC007_LIPID01_100532_2_20180822_Cer_CerPE.raw
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MEC007_LIPID01_100533_20180418_PC.raw
FILES
MEC007_LIPID01_100533_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100534_20180418_PC.raw
FILES
MEC007_LIPID01_100534_2_20180822_Cer_CerPE.raw
FILES
MEC007_LIPID01_100535_20180418_PC.raw
FILES
MEC007_LIPID01_100535_20181015_Cer_CerPE.raw
FILES
MEC007_LIPID01_100536_20180419_PC.raw
FILES
MEC007_LIPID01_100536_20181015_Cer_CerPE.raw
FILES
MEC007_LIPID01_100537_20180419_PC.raw
FILES
MEC007_LIPID01_100537_20181015_Cer_CerPE.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_genotype
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS826
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
SP_20181012_003.mzXML
FILES
SP_20181012_004.mzXML
FILES
SP_20181012_005.mzXML
FILES
SP_20181012_006.mzXML
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SP_20181012_008.mzXML
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SP_20181012_030.mzXML
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SP_20181012_039.mzXML
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SP_20181012_040.mzXML
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SP_20181012_041.mzXML
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SP_20181012_045.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1220/1662 [2:26:00<45:45,  6.21s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 73%|███████▎  | 1221/1662 [2:26:05<43:20,  5.90s/it]
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Step modification
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8272
Request successful!
SampleCollectionMethod: ADDED!
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Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8278
Request successful!
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IGNORED:  Assay_Data Transformation Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 74%|███████▎  | 1222/1662 [2:26:09<38:32,  5.26s/it]
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Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8280
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
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See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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Returning 172 rows!
Added 172 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8281
Request successful!
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Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS832
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS836
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8370
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS839
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8390
Request successful!
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Returning 73 rows!
Added 73 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8391
Request successful!
SampleCollectionMethod: ADDED!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 74%|███████▍  | 1230/1662 [2:26:46<38:05,  5.29s/it]
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Number of rows removed due to not enough metadata: 6
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS840
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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LatitudeandLongitude: ADDED!
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IGNORED:  Samples_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 74%|███████▍  | 1231/1662 [2:26:50<36:04,  5.02s/it]
 74%|███████▍  | 1232/1662 [2:26:51<26:55,  3.76s/it]
IGNORED:  Assay_Term Accession Number.3
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Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS841
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS842
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
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IGNORED:  Assay_Exhalion file
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 74%|███████▍  | 1233/1662 [2:26:56<28:19,  3.96s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 74%|███████▍  | 1234/1662 [2:27:00<28:04,  3.94s/it]
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 104 rows!
Added 104 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS843
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 0
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8433
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 779 rows!
Added 779 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8439
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8944
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
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MassSpectrometer:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 90 rows!
Added 90 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS844
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
MS16_20170713_039_0714.mzXML
FILES
MS16_20170713_039_0714.mzXML
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MS16_20170713_040.mzXML
FILES
MS16_20170713_040.mzXML
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MS16_20170713_055.mzXML
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MS16_20170713_057.mzXML
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MS16_20170713_057.mzXML
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MS16_20170713_064.mzXML
FILES
MS16_20170713_064.mzXML
FILES
MS16_20170713_067.mzXML
FILES
MS16_20170713_067.mzXML
FILES
MS16_20170717_038.mzXML
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MS16_20170717_038.mzXML
FILES
MS16_20170717_039.mzXML
FILES
MS16_20170717_039.mzXML
FILES
MS16_20170717_045.mzXML
FILES
MS16_20170717_045.mzXML
FILES
MS16_20170717_049.mzXML
FILES
MS16_20170717_049.mzXML
FILES
MS16_20170717_054.mzXML
FILES
MS16_20170717_054.mzXML
FILES
MS16_20170717_055.mzXML
FILES
MS16_20170717_055.mzXML
FILES
MS16_20170717_058.mzXML
FILES
MS16_20170717_058.mzXML
FILES
MS16_20170717_059.mzXML
FILES
MS16_20170717_059.mzXML
FILES
MS16_20170721_004.mzXML
FILES
MS16_20170721_004.mzXML
FILES
MS16_20170721_006.mzXML
FILES
MS16_20170721_006.mzXML
FILES
MS16_20170721_016.mzXML
FILES
MS16_20170721_016.mzXML
FILES
MS16_20170721_019.mzXML
FILES
MS16_20170721_019.mzXML
FILES
MS16_20170721_031.mzXML
FILES
MS16_20170721_031.mzXML
FILES
MS16_20170724_037.mzXML
FILES
MS16_20170724_037.mzXML
FILES
MS16_20170725_008.mzXML
FILES
MS16_20170725_008.mzXML
FILES
MS16_20170726_037.mzXML
FILES
MS16_20170726_037.mzXML
FILES
MS16_20170726_048.mzXML
FILES
MS16_20170726_048.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Habitat
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 74%|███████▍  | 1238/1662 [2:27:24<34:27,  4.88s/it]
 75%|███████▍  | 1239/1662 [2:27:25<25:44,  3.65s/it]
 75%|███████▍  | 1240/1662 [2:27:26<19:45,  2.81s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 75%|███████▍  | 1241/1662 [2:27:31<25:18,  3.61s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Sediment Depth
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS846
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS847
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS848
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
20180220_001.mzXML
FILES
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20180220_003.mzXML
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20180220_004.mzXML
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20180220_006.mzXML
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20180220_011.mzXML
FILES
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FILES
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FILES
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20180220_021.mzXML
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20180220_024.mzXML
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20180220_026.mzXML
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20180220_027.mzXML
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20180220_028.mzXML
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20180220_029.mzXML
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20180221_33.mzXML
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20180222_71.mzXML
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20180222_76.mzXML
FILES
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FILES
20180222_79.mzXML
FILES
20180226_003.mzXML
FILES
20180226_004.mzXML
FILES
20180226_005.mzXML
FILES
20180226_006.mzXML
FILES
20180226_008.mzXML
FILES
20180226_009.mzXML
FILES
20180226_010.mzXML
FILES
20180226_011.mzXML
FILES
20180226_013.mzXML
FILES
20180226_017.mzXML
FILES
20180226_018.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Matrix
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 71 rows!
Added 71 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS849
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
20181026_003.mzXML
FILES
20181026_004.mzXML
FILES
20181026_005.mzXML
FILES
20181026_006.mzXML
FILES
20181026_008.mzXML
FILES
20181026_009.mzXML
FILES
20181026_010.mzXML
FILES
20181026_012.mzXML
FILES
20181026_013.mzXML
FILES
20181026_014.mzXML
FILES
20181026_015.mzXML
FILES
20181026_017.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 75%|███████▍  | 1242/1662 [2:27:37<28:45,  4.11s/it]
 75%|███████▍  | 1243/1662 [2:27:37<21:44,  3.11s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS85
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS850
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive Plus: missing value
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA10_06.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA10_30.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA10_44.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA7_32.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA8_33.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA9_05.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210129_CHHB0220DSML_HUMAN_PLASMA9_20.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA11_28.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA11_41.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA12_30.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA12_35.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA13_06.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA13_14.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA13_41.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210201_CHHB0220DSML_HUMAN_PLASMA14_39.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210210_CHHB0220DSML_HUMAN_PLASMA1_09.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210210_CHHB0220DSML_HUMAN_PLASMA1_19.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210210_CHHB0220DSML_HUMAN_PLASMA2_09.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210210_CHHB0220DSML_HUMAN_PLASMA3_27.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210210_CHHB0220DSML_HUMAN_PLASMA4_31.mzML
FILES
22859
22859 Method 1
QXA15POSEAR20210210_CHHB0220DSML_HUMAN_PLASMA4_39.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA10_06.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA10_30.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA10_44.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA7_32.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA8_33.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA9_05.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210129_CHHB0220DSML_HUMAN_PLASMA9_20.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA11_28.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA11_41.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA12_30.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA12_35.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA13_06.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA13_14.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA13_41.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210201_CHHB0220DSML_HUMAN_PLASMA14_39.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210210_CHHB0220DSML_HUMAN_PLASMA2_09.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210210_CHHB0220DSML_HUMAN_PLASMA3_27.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210210_CHHB0220DSML_HUMAN_PLASMA4_31.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210210_CHHB0220DSML_HUMAN_PLASMA4_39.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210222_CHHB0220DSML_HUMAN_PLASMA1_09.mzML
FILES
22859
22859 Method 2
QXA15POSLAT20210222_CHHB0220DSML_HUMAN_PLASMA1_19.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA10_06.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA10_30.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA10_44.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA7_32.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA8_33.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA9_05.mzML
FILES
22859
22859 Method 3
QXA20NEG20210129_CHHB0220DSML_HUMAN_PLASMA9_20.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA11_28.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA11_41.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA12_30.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA12_35.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA13_06.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA13_14.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA13_41.mzML
FILES
22859
22859 Method 3
QXA20NEG20210201_CHHB0220DSML_HUMAN_PLASMA14_39.mzML
FILES
22859
22859 Method 3
QXA20NEG20210210_CHHB0220DSML_HUMAN_PLASMA1_09.mzML
FILES
22859
22859 Method 3
QXA20NEG20210210_CHHB0220DSML_HUMAN_PLASMA1_19.mzML
FILES
22859
22859 Method 3
QXA20NEG20210210_CHHB0220DSML_HUMAN_PLASMA2_09.mzML
FILES
22859
22859 Method 3
QXA20NEG20210210_CHHB0220DSML_HUMAN_PLASMA3_27.mzML
FILES
22859
22859 Method 3
QXA20NEG20210210_CHHB0220DSML_HUMAN_PLASMA4_31.mzML
FILES
22859
22859 Method 3
QXA20NEG20210210_CHHB0220DSML_HUMAN_PLASMA4_39.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA10_06.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA10_30.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA10_44.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA7_32.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA8_33.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA9_05.mzML
FILES
22859
22859 Method 4
QXA19POL20210129_CHHB0220DSML_HUMAN_PLASMA9_20.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA11_28.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA11_41.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA12_30.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA12_35.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA13_06.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA13_14.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA13_41.mzML
FILES
22859
22859 Method 4
QXA19POL20210201_CHHB0220DSML_HUMAN_PLASMA14_39.mzML
FILES
22859
22859 Method 4
QXA19POL20210210_CHHB0220DSML_HUMAN_PLASMA1_09.mzML
FILES
22859
22859 Method 4
QXA19POL20210210_CHHB0220DSML_HUMAN_PLASMA1_19.mzML
FILES
22859
22859 Method 4
QXA19POL20210210_CHHB0220DSML_HUMAN_PLASMA2_09.mzML
FILES
22859
22859 Method 4
QXA19POL20210210_CHHB0220DSML_HUMAN_PLASMA3_27.mzML
FILES
22859
22859 Method 4
QXA19POL20210210_CHHB0220DSML_HUMAN_PLASMA4_31.mzML
FILES
22859
22859 Method 4
QXA19POL20210210_CHHB0220DSML_HUMAN_PLASMA4_39.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA1_08.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA1_09.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA1_19.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA1_20.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA1_42.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA2_16.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA3_09.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA3_25.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA5_23.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA7_15.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA7_23.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210519_CHHB020120DSML_HUMAN_PLASMA7_37.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA10_38.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA11_11.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA11_36.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA12_17.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA12_28.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA12_42.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA13_08.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA13_17.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA13_25.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA13_37.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA14_21.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA14_37.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA15_18.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA15_26.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA15_30.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA15_44.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA16_04.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA16_42.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA9_09.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210524_CHHB020120DSML_HUMAN_PLASMA9_19.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA17_32.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA18_41.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA19_35.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA20_20.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA21_04.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA23_17.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA23_38.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210526_CHHB020120DSML_HUMAN_PLASMA24_16.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210602_CHHB020120DSML_HUMAN_PLASMA22_25.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210602_CHHB020120DSML_HUMAN_PLASMA22_26.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210607_CHHB020120DSML_HUMAN_PLASMA25_36.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210607_CHHB020120DSML_HUMAN_PLASMA27_23.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210607_CHHB020120DSML_HUMAN_PLASMA27_26.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210607_CHHB020120DSML_HUMAN_PLASMA27_36.mzML
FILES
23192
23192 Method 1
QXA15POSEAR20210607_CHHB020120DSML_HUMAN_PLASMA28_17.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA1_08.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA1_09.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA1_19.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA1_20.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA1_42.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA2_16.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA3_09.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA3_25.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA5_23.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA7_15.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA7_23.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210519_CHHB020120DSML_HUMAN_PLASMA7_37.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA10_38.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA11_11.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA11_36.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA12_17.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA12_28.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA12_42.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA13_08.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA13_17.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA13_25.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA13_37.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA14_21.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA14_37.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA15_18.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA15_26.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA15_30.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA15_44.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA9_09.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210524_CHHB020120DSML_HUMAN_PLASMA9_19.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA17_32.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA18_41.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA19_35.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA20_20.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA21_04.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA22_25.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA22_26.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA23_17.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA23_38.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210526_CHHB020120DSML_HUMAN_PLASMA24_16.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210528_CHHB020120DSML_HUMAN_PLASMA25_36.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210528_CHHB020120DSML_HUMAN_PLASMA27_23.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210528_CHHB020120DSML_HUMAN_PLASMA27_26.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210528_CHHB020120DSML_HUMAN_PLASMA27_36.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210528_CHHB020120DSML_HUMAN_PLASMA28_17.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210530_CHHB020120DSML_HUMAN_PLASMA16_04.mzML
FILES
23192
23192 Method 2
QXA15POSLAT20210530_CHHB020120DSML_HUMAN_PLASMA16_42.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA1_08.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA1_09.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA1_19.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA1_20.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA1_42.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA2_16.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA3_09.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA3_25.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA5_23.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA7_15.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA7_23.mzML
FILES
23192
23192 Method 3
QXA14NEG20210519_CHHB020120DSML_HUMAN_PLASMA7_37.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA10_38.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA11_11.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA11_36.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA12_17.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA12_28.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA12_42.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA13_08.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA13_17.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA13_25.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA13_37.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA14_21.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA14_37.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA15_18.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA15_26.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA15_30.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA15_44.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA16_04.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA16_42.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA9_09.mzML
FILES
23192
23192 Method 3
QXA14NEG20210524_CHHB020120DSML_HUMAN_PLASMA9_19.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA17_32.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA18_41.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA19_35.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA20_20.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA21_04.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA22_25.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA22_26.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA23_17.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA23_38.mzML
FILES
23192
23192 Method 3
QXA14NEG20210526_CHHB020120DSML_HUMAN_PLASMA24_16.mzML
FILES
23192
23192 Method 3
QXA14NEG20210528_CHHB020120DSML_HUMAN_PLASMA25_36.mzML
FILES
23192
23192 Method 3
QXA14NEG20210528_CHHB020120DSML_HUMAN_PLASMA27_23.mzML
FILES
23192
23192 Method 3
QXA14NEG20210528_CHHB020120DSML_HUMAN_PLASMA27_26.mzML
FILES
23192
23192 Method 3
QXA14NEG20210528_CHHB020120DSML_HUMAN_PLASMA27_36.mzML
FILES
23192
23192 Method 3
QXA14NEG20210528_CHHB020120DSML_HUMAN_PLASMA28_17.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA1_08.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA1_09.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA1_19.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA1_20.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA1_42.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA2_16.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA3_09.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA3_25.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA5_23.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA7_15.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA7_23.mzML
FILES
23192
23192 Method 4
QXA16POL20210519_CHHB020120DSML_HUMAN_PLASMA7_37.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA10_38.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA11_11.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA11_36.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA12_17.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA12_28.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA12_42.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA13_08.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA13_17.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA13_25.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA13_37.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA14_21.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA14_37.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA15_18.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA15_26.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA15_30.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA15_44.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA16_04.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA16_42.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA9_09.mzML
FILES
23192
23192 Method 4
QXA16POL20210524_CHHB020120DSML_HUMAN_PLASMA9_19.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA17_32.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA18_41.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA19_35.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA20_20.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA21_04.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA22_25.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA22_26.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA23_17.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA23_38.mzML
FILES
23192
23192 Method 4
QXA16POL20210526_CHHB020120DSML_HUMAN_PLASMA24_16.mzML
FILES
23192
23192 Method 4
QXA16POL20210528_CHHB020120DSML_HUMAN_PLASMA25_36.mzML
FILES
23192
23192 Method 4
QXA16POL20210528_CHHB020120DSML_HUMAN_PLASMA27_23.mzML
FILES
23192
23192 Method 4
QXA16POL20210528_CHHB020120DSML_HUMAN_PLASMA27_26.mzML
FILES
23192
23192 Method 4
QXA16POL20210528_CHHB020120DSML_HUMAN_PLASMA27_36.mzML
FILES
23192
23192 Method 4
QXA16POL20210528_CHHB020120DSML_HUMAN_PLASMA28_17.mzML
FILES
23193
23193 Method 1
QXA15POSEAR20210601_CHHB020120DSML_HUMAN_PLASMA29_10.mzML
FILES
23193
23193 Method 1
QXA15POSEAR20210601_CHHB020120DSML_HUMAN_PLASMA29_17.mzML
FILES
23193
23193 Method 2
QXA15POSLAT20210601_CHHB020120DSML_HUMAN_PLASMA29_10.mzML
FILES
23193
23193 Method 2
QXA15POSLAT20210601_CHHB020120DSML_HUMAN_PLASMA29_17.mzML
FILES
23193
23193 Method 3
QXA14NEG20210601_CHHB020120DSML_HUMAN_PLASMA29_10.mzML
FILES
23193
23193 Method 3
QXA14NEG20210601_CHHB020120DSML_HUMAN_PLASMA29_17.mzML
FILES
23193
23193 Method 4
QXA16POL20210601_CHHB020120DSML_HUMAN_PLASMA29_10.mzML
FILES
23193
23193 Method 4
QXA16POL20210601_CHHB020120DSML_HUMAN_PLASMA29_17.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210922_CHHB020720DSML_HUMAN_PLASMA4_44.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210922_CHHB020720DSML_HUMAN_PLASMA5_08.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210922_CHHB020720DSML_HUMAN_PLASMA5_32.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210922_CHHB020720DSML_HUMAN_PLASMA6_17.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210922_CHHB020720DSML_HUMAN_PLASMA8_44.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA10_07.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA10_41.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA13_08.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA13_33.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA13_40.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA14_36.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA15_26.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA16_15.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA16_23.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA16_41.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210923_CHHB020720DSML_HUMAN_PLASMA9_29.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210927_CHHB020720DSML_HUMAN_PLASMA1_18.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210927_CHHB020720DSML_HUMAN_PLASMA1_44.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA18_26.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA19_03.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA20_29.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA22_41.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA23_21.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA23_35.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA24_14.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA24_23.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20210928_CHHB020720DSML_HUMAN_PLASMA24_30.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA33_04.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA33_30.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA34_27.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA35_04.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA38_09.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA38_36.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA39_03.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA39_09.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211006_CHHB020720DSML_HUMAN_PLASMA39_41.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA26_07.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA26_25.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA26_27.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA28_08.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA28_31.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA29_11.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA29_33.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA31_14.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA32_11.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA32_40.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211011_CHHB020720DSML_HUMAN_PLASMA40_39.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA41_16.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA42_15.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA43_11.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA43_29.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA43_39.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA44_37.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA48_39.mzML
FILES
23664
23664 Method 1
QXA03POSEAR20211015_CHHB020720DSML_HUMAN_PLASMA48_40.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210922_CHHB020720DSML_HUMAN_PLASMA1_18.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210922_CHHB020720DSML_HUMAN_PLASMA1_44.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210922_CHHB020720DSML_HUMAN_PLASMA4_44.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210922_CHHB020720DSML_HUMAN_PLASMA5_08.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210922_CHHB020720DSML_HUMAN_PLASMA5_32.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA10_07.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA10_41.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA13_08.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA13_33.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA13_40.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA14_36.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA15_26.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA16_15.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA16_23.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA16_41.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210923_CHHB020720DSML_HUMAN_PLASMA9_29.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210927_CHHB020720DSML_HUMAN_PLASMA6_17.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210927_CHHB020720DSML_HUMAN_PLASMA8_44.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA18_26.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA19_03.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA20_29.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA22_41.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA23_21.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA23_35.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA24_14.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA24_23.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20210928_CHHB020720DSML_HUMAN_PLASMA24_30.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA26_07.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA26_25.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA26_27.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA28_08.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA28_31.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA29_11.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA29_33.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211004_CHHB020720DSML_HUMAN_PLASMA31_14.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA33_04.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA33_30.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA34_27.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA35_04.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA39_03.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA39_09.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA39_41.mzML
FILES
23664
23664 Method 2
QXA03POSLAT20211006_CHHB020720DSML_HUMAN_PLASMA40_39.mzML
FILES
23664
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 500 rows!
Added 500 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS852
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8547
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ XL linear ion trap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20230503_Annesha_PC160_181_9_Co(lipid, FA)_Cu(ACN,HCl)_4.raw
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 75%|███████▍  | 1246/1662 [2:28:01<37:25,  5.40s/it]
 75%|███████▌  | 1247/1662 [2:28:02<27:45,  4.01s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 75%|███████▌  | 1248/1662 [2:28:06<26:44,  3.88s/it]
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Returning 1 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS855
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS856
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Returning 40 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8575
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QC_Pool_ID_06.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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Number of rows removed due to not enough metadata: 0
Returning 378 rows!
Added 378 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8577
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS858
Request successful!
SampleCollectionMethod: ADDED!
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Pooled_9.mzxml/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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Added 74 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS859
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS86
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS861
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS862
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8621
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  extension/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 76%|███████▌  | 1256/1662 [2:28:32<18:58,  2.80s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 76%|███████▌  | 1257/1662 [2:28:39<27:14,  4.04s/it]
 76%|███████▌  | 1258/1662 [2:28:40<20:42,  3.08s/it]
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Number of rows removed due to not enough metadata: 0
Returning 104 rows!
Added 104 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8628
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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Number of rows removed due to not enough metadata: 4
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS863
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS864
Request successful!
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Method 4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 76%|███████▌  | 1259/1662 [2:28:45<24:06,  3.59s/it]
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Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8644
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
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DOIDCommonName: ADDED!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 160 rows!
Added 160 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS865
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF-Q I: missing value
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ENVOEnvironmentBiome:
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neg_HEG15_Ra.ac._1-F,5_01_16440.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 76%|███████▌  | 1261/1662 [2:29:19<1:16:07, 11.39s/it]
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Assay_Term Accession Number.22
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IGNORED:  Assay_Term Source REF.25
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IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.22
IGNORED:  Assay_Term Source REF.23
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Harvest Date
IGNORED:  Assay_Protocol REF
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IGNORED:  Samples_Term Accession Number.9
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IGNORED:  Assay_Term Source REF.24
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
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IGNORED:  Assay_Term Source REF.14
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IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 94
Returning 447 rows!
Added 447 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS866
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975 MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Try using .loc[row_indexer,col_indexer] = value instead

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Number of rows removed due to not enough metadata: 12
Returning 420 rows!
Added 420 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS867
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS868
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 12
Returning 34 rows!
Added 34 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS869
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS87/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 76%|███████▌  | 1266/1662 [2:29:47<35:12,  5.33s/it]
 76%|███████▌  | 1267/1662 [2:29:47<26:11,  3.98s/it]
 76%|███████▋  | 1268/1662 [2:29:48<20:04,  3.06s/it]
 76%|███████▋  | 1269/1662 [2:29:49<15:57,  2.44s/it]
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Person1_Blood_NEG.mzML
FILES
Person1_Blood_POS.mzML
FILES
Person1_Plasma_NEG.mzML
FILES
Person1_Plasma_POS.mzML
FILES
Person1_RBC_NEG.mzML
FILES
Person1_RBC_POS.mzML
FILES
Person2_Blood_NEG.mzML
FILES
Person2_Blood_POS.mzML
FILES
Person2_Plasma_NEG.mzML
FILES
Person2_Plasma_POS.mzML
FILES
Person2_RBC_NEG.mzML
FILES
Person2_RBC_POS.mzML
FILES
Person2_WBC_NEG.mzML
FILES
Person2_WBC_POS.mzML
FILES
Person3_Blood_NEG.mzML
FILES
Person3_Blood_POS.mzML
FILES
Person3_Plasma_NEG.mzML
FILES
Person3_Plasma_POS.mzML
FILES
Person3_RBC_NEG.mzML
FILES
Person3_RBC_POS.mzML
FILES
Person3_WBC_NEG.mzML
FILES
Person3_WBC_POS.mzML
FILES
Spombe_cell_sample1_NEG.mzML
FILES
Spombe_cell_sample1_POS.mzML
FILES
Spombe_cell_sample2_NEG.mzML
FILES
Spombe_cell_sample2_POS.mzML
FILES
Spombe_cell_sample3_NEG.mzML
FILES
Spombe_cell_sample3_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_material sample
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_material sample
Number of rows removed due to not enough metadata: 0
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS870
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS871
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS872
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8729
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
10_N.raw
FILES
RAW_FILES
NEG
11_N.raw
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12_N.raw
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13_N.raw
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38_N.raw
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39_N.raw
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40_N.raw
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42_N.raw
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43_N.raw
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45_N.raw
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46_N.raw
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49_N.raw
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50_N.raw
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8_N.raw
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QC10_N.raw
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QC2_N.raw
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QC9_N.raw
FILES
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10_P.raw
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11_P.raw
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12_P.raw
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13_P.raw
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RAW_FILES
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15_P.raw
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16_P.raw
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RAW_FILES
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23_P.raw
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RAW_FILES
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25_P.raw
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27_P.raw
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28_P.raw
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30_P.raw
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31_P.raw
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35_P.raw
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37_P.raw
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40_P.raw
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42_P.raw
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45_P.raw
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46_P.raw
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49_P.raw
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50_P.raw
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52_P.raw
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53_P.raw
FILES
RAW_FILES
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54_P.raw
FILES
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5_P.raw
FILES
RAW_FILES
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6_P.raw
FILES
RAW_FILES
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7_P.raw
FILES
RAW_FILES
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8_P.raw
FILES
RAW_FILES
POS
9_P.raw
FILES
RAW_FILES
POS
QC10_P.raw
FILES
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POS
QC1_P.raw
FILES
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POS
QC2_P.raw
FILES
RAW_FILES
POS
QC3_P.raw
FILES
RAW_FILES
POS
QC4_P.raw
FILES
RAW_FILES
POS
QC5_P.raw
FILES
RAW_FILES
POS
QC6_P.raw
FILES
RAW_FILES
POS
QC7_P.raw
FILES
RAW_FILES
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QC8_P.raw
FILES
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QC9_P.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 76%|███████▋  | 1270/1662 [2:29:55<22:16,  3.41s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 76%|███████▋  | 1271/1662 [2:29:59<24:02,  3.69s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 98 rows!
Added 98 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS873
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
FLC M1 20180104.cdf
FILES
FLC M10 20180104.cdf
FILES
FLC M11 20180104.cdf
FILES
FLC M12 20180104.cdf
FILES
FLC M13 20180104.cdf
FILES
FLC M14 20180104.cdf
FILES
FLC M15 20180104.cdf
FILES
FLC M16 20180104.cdf
FILES
FLC M17 20180104.cdf
FILES
FLC M18 20180104.cdf
FILES
FLC M19 20180104.cdf
FILES
FLC M2 20180104.cdf
FILES
FLC M20 20180104.cdf
FILES
FLC M21 20180104.cdf
FILES
FLC M22 20180104.cdf
FILES
FLC M23 20180104.cdf
FILES
FLC M24 20180104.cdf
FILES
FLC M3 20180104.cdf
FILES
FLC M4 20180104.cdf
FILES
FLC M5 20180104.cdf
FILES
FLC M6 20180104.cdf
FILES
FLC M7 20180104.cdf
FILES
FLC M8 20180104.cdf
FILES
FLC M9 20180104.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Indomethacin dose
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Cell line
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS874
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6540 Q-TOF: missing value
ChromatographyAndPhase:
   (Phenyl-Hexyl): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
BDV10002-FM-neg.mzML
FILES
BDV10002-FM.mzML
FILES
BDV10002-FMD-neg.mzML
FILES
BDV10002-FMD.mzML
FILES
BDV10002-FWM-NEG.mzML
FILES
BDV10002-FWM.mzML
FILES
BDV10004-FM-neg.mzML
FILES
BDV10004-FM.mzML
FILES
BDV10004-FMD-neg.mzML
FILES
BDV10004-FMD.mzML
FILES
BDV10004-FWM-NEG.mzML
FILES
BDV10004-FWM.mzML
FILES
BDV10005-FM-neg.mzML
FILES
BDV10005-FM.mzML
FILES
BDV10005-FMD-neg.mzML
FILES
BDV10005-FMD.mzML
FILES
BDV10005-FWM-NEG.mzML
FILES
BDV10005-FWM.mzML
FILES
BDV10006-FM-neg.mzML
FILES
BDV10006-FM.mzML
FILES
BDV10006-FMD-neg.mzML
FILES
BDV10006-FMD.mzML
FILES
BDV10006-FWM-NEG.mzML
FILES
BDV10006-FWM.mzML
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BDV10007-FM-neg.mzML
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BDV10007-FM.mzML
FILES
BDV10007-FMD-neg.mzML
FILES
BDV10007-FMD.mzML
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BDV10007-FWM-NEG.mzML
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BDV10007-FWM.mzML
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BDV10008-FM-neg.mzML
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BDV10008-FM.mzML
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BDV10008-FMD.mzML
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BDV10008-FWM-NEG.mzML
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BDV10008-FWM.mzML
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BDV10009-FM-neg.mzML
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BDV10009-FM.mzML
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BDV10009-FMD-neg.mzML
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BDV10009-FMD.mzML
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BDV10009-FWM-NEG.mzML
FILES
BDV10009-FWM.mzML
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BDV10010-FM-neg.mzML
FILES
BDV10010-FM.mzML
FILES
BDV10010-FMD-neg.mzML
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BDV10010-FMD.mzML
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BDV10010-FWM-NEG.mzML
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BDV10010-FWM.mzML
FILES
BDV10011-FM-neg.mzML
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BDV10011-FM.mzML
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BDV10011-FMD-neg.mzML
FILES
BDV10011-FMD.mzML
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BDV10011-FWM-NEG.mzML
FILES
BDV10011-FWM.mzML
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BDV10012-FM-neg.mzML
FILES
BDV10012-FM.mzML
FILES
BDV10012-FMD-neg.mzML
FILES
BDV10012-FMD.mzML
FILES
BDV10012-FWM-NEG.mzML
FILES
BDV10012-FWM.mzML
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BDV10013-FM-neg.mzML
FILES
BDV10013-FM.mzML
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BDV10013-FMD-neg.mzML
FILES
BDV10013-FMD.mzML
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BDV10013-FWM-NEG.mzML
FILES
BDV10013-FWM.mzML
FILES
BDV10014-FM-neg.mzML
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BDV10014-FM.mzML
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BDV10014-FMD-neg.mzML
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BDV10014-FMD.mzML
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BDV10014-FWM-NEG.mzML
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BDV10014-FWM1.mzML
FILES
BDV10015-FM-neg.mzML
FILES
BDV10015-FM.mzML
FILES
BDV10015-FMD-neg.mzML
FILES
BDV10015-FMD.mzML
FILES
BDV10015-FWM-NEG.mzML
FILES
BDV10015-FWM.mzML
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BDV10015M1.mzML
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BDV10015M2.mzML
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BDV10015M3.mzML
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BDV10016-FM-neg.mzML
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BDV10016-FM.mzML
FILES
BDV10016-FMD-neg.mzML
FILES
BDV10016-FMD.mzML
FILES
BDV10016-FWM-NEG.mzML
FILES
BDV10016-FWM.mzML
FILES
BDV10017-FM-neg.mzML
FILES
BDV10017-FM.mzML
FILES
BDV10017-FMD-neg.mzML
FILES
BDV10017-FMD.mzML
FILES
BDV10017-FWM-NEG.mzML
FILES
BDV10017-FWM.mzML
FILES
BDV10018-FM-neg.mzML
FILES
BDV10018-FM.mzML
FILES
BDV10018-FMD-neg.mzML
FILES
BDV10018-FMD.mzML
FILES
BDV10018-FWM-NEG.mzML
FILES
BDV10018-FWM.mzML
FILES
BDV10019-FM-neg.mzML
FILES
BDV10019-FM.mzML
FILES
BDV10019-FMD-neg.mzML
FILES
BDV10019-FMD.mzML
FILES
BDV10019-FWM-NEG.mzML
FILES
BDV10019-FWM.mzML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1272/1662 [2:30:21<58:16,  8.97s/it]
 77%|███████▋  | 1273/1662 [2:30:21<42:14,  6.52s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1274/1662 [2:30:25<36:16,  5.61s/it]
BDV10020-FM-neg.mzML
FILES
BDV10020-FM.mzML
FILES
BDV10020-FMD-neg.mzML
FILES
BDV10020-FMD.mzML
FILES
BDV10020-FWM-NEG.mzML
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BDV10020-FWM.mzML
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BDV10021-FM-neg.mzML
FILES
BDV10021-FM.mzML
FILES
BDV10021-FMD-neg.mzML
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BDV10021-FMD.mzML
FILES
BDV10021-FWM-NEG.mzML
FILES
BDV10021-FWM.mzML
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BDV10022-FM-neg.mzML
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BDV10022-FM.mzML
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BDV10022-FMD-neg.mzML
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BDV10022-FMD.mzML
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BDV10022-FWM-NEG.mzML
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BDV10022-FWM.mzML
FILES
BDV10023-FM-neg.mzML
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BDV10024-FM.mzML
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BDV10025-FM-neg.mzML
FILES
BDV10025-FM.mzML
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BDV10025-FMD.mzML
FILES
BDV10025-FWM-NEG.mzML
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BDV10025-FWM.mzML
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BDV10026-FM.mzML
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BDV10026-FWM-NEG.mzML
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BDV10026-FWM.mzML
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BDV10029-FM-neg.mzML
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BDV10029-FMD.mzML
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BDV10029-FWM-NEG.mzML
FILES
BDV10029-FWM.mzML
FILES
BDV10030-FM-neg.mzML
FILES
BDV10030-FM.mzML
FILES
BDV10030-FMD-neg.mzML
FILES
BDV10030-FMD.mzML
FILES
BDV10030-FWM-NEG.mzML
FILES
BDV10030-FWM.mzML
FILES
BDV10032-FM-neg.mzML
FILES
BDV10032-FM.mzML
FILES
BDV10032-FMD-neg.mzML
FILES
BDV10032-FMD.mzML
FILES
BDV10032-FWM-NEG.mzML
FILES
BDV10032-FWM.mzML
FILES
BDV10033-FM-neg.mzML
FILES
BDV10033-FM.mzML
FILES
BDV10033-FMD-neg.mzML
FILES
BDV10033-FMD.mzML
FILES
BDV10033-FWM-NEG.mzML
FILES
BDV10033-FWM.mzML
FILES
BDV10035-FM-neg.mzML
FILES
BDV10035-FM.mzML
FILES
BDV10035-FMD-neg.mzML
FILES
BDV10035-FMD.mzML
FILES
BDV10035-FWM-NEG.mzML
FILES
BDV10035-FWM.mzML
FILES
BDV10039-FM-neg.mzML
FILES
BDV10039-FM.mzML
FILES
BDV10039-FMD-neg.mzML
FILES
BDV10039-FMD.mzML
FILES
BDV10039-FWM-NEG.mzML
FILES
BDV10039-FWM.mzML
FILES
BDV10040-FM-neg.mzML
FILES
BDV10040-FM.mzML
FILES
BDV10040-FMD-neg.mzML
FILES
BDV10040-FMD.mzML
FILES
BDV10040-FWM-NEG.mzML
FILES
BDV10040-FWM.mzML
FILES
BDV10076-FM.d
FILES
BDV10076Fm_NEG.mzML
FILES
BDV10076Fmd_NEG.mzML
FILES
BDV10076Fwm_NEG.mzML
FILES
BDV10076M1.mzML
FILES
BDV10076M2.mzML
FILES
BDV10076M3.mzML
FILES
BDV10076M4.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extraction Method
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 18
Returning 177 rows!
Added 177 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS876
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS88
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
IonizationSourceAndPolarity:
  electrospray ionization: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Person4_Blood1_NEG.mzML
FILES
Person4_Blood1_POS.mzML
FILES
Person4_Blood2_NEG.mzML
FILES
Person4_Blood2_POS.mzML
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Person4_Blood3_NEG.mzML
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Person4_Blood3_POS.mzML
FILES
Person4_Blood4_NEG.mzML
FILES
Person4_Blood4_POS.mzML
FILES
Person4_Plasma1_NEG.mzML
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Person4_Plasma1_POS.mzML
FILES
Person4_Plasma2_NEG.mzML
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Person4_Plasma2_POS.mzML
FILES
Person4_Plasma3_NEG.mzML
FILES
Person4_Plasma3_POS.mzML
FILES
Person4_Plasma4_NEG.mzML
FILES
Person4_Plasma4_POS.mzML
FILES
Person4_RBC1_NEG.mzML
FILES
Person4_RBC1_POS.mzML
FILES
Person4_RBC2_NEG.mzML
FILES
Person4_RBC2_POS.mzML
FILES
Person4_RBC3_NEG.mzML
FILES
Person4_RBC3_POS.mzML
FILES
Person4_RBC4_NEG.mzML
FILES
Person4_RBC4_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_material sample
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_material sample
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8806
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1275/1662 [2:30:31<37:21,  5.79s/it]
 77%|███████▋  | 1276/1662 [2:30:32<28:26,  4.42s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1277/1662 [2:30:39<32:00,  4.99s/it]
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 120: missing value
UBERONBodyPartName:
  : missing value
FILES
RAW_FILES
Control-POS.raw
FILES
RAW_FILES
Control-neg.raw
FILES
RAW_FILES
KXS-POS.raw
FILES
RAW_FILES
KXS-neg.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 2
Returning 2 rows!
Added 2 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS881
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS882
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
DMSO_1.mzXML
FILES
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DMSO_1_n.mzXML
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DERIVED_FILES
DMSO_2.mzXML
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DERIVED_FILES
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MGB234_1.mzXML
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DERIVED_FILES
MGB234_2.mzXML
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MGB234_2_n.mzXML
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DERIVED_FILES
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DERIVED_FILES
MGB234_4.mzXML
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DERIVED_FILES
Matrix_blank_1.mzXML
FILES
DERIVED_FILES
Matrix_blank_2.mzXML
FILES
DERIVED_FILES
Matrix_blank_3.mzXML
FILES
DERIVED_FILES
Matrix_blank_4.mzXML
FILES
DERIVED_FILES
Matrix_blank_5.mzXML
FILES
DERIVED_FILES
Matrix_blank_6.mzXML
FILES
DERIVED_FILES
Pooled_1.mzXML
FILES
DERIVED_FILES
Pooled_2.mzXML
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DERIVED_FILES
Pooled_3.mzXML
FILES
DERIVED_FILES
Pooled_4.mzXML
FILES
DERIVED_FILES
Pooled_5.mzXML
FILES
DERIVED_FILES
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Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS883
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
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IGNORED:  row_id
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IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1278/1662 [2:30:47<38:59,  6.09s/it]
 77%|███████▋  | 1279/1662 [2:30:49<30:36,  4.80s/it]
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IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Experiment location
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Plant breeding
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 284 rows!
Added 284 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS884
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS889
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS89
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Q Exactive: missing value
  : missing value
IonizationSourceAndPolarity:
  : missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA10POSLAT20150603_WCQA050214MLBL_HUMAN_PLASMA23_35.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Term Source REF.20
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Source REF.18
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Number of rows removed due to not enough metadata: 0
Returning 3552 rows!
Added 3552 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS890
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8901
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8903
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SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
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  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS892
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
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SAV_130416_155_To134.raw
FILES
RAW_FILES
SAV_130416_157_To143.raw
FILES
RAW_FILES
SAV_130416_159_To142.raw
FILES
RAW_FILES
SAV_130416_168_To126.raw
FILES
RAW_FILES
SAV_130416_174_To147.raw
FILES
RAW_FILES
SAV_130416_175_To139.raw
FILES
RAW_FILES
SAV_130416_179_To109.raw
FILES
RAW_FILES
SAV_130416_180_To113.raw
FILES
RAW_FILES
SAV_130416_181_To130.raw
FILES
RAW_FILES
SAV_130416_187_To119.raw
FILES
RAW_FILES
SAV_130416_190_To112.raw
FILES
RAW_FILES
SAV_130416_205_To148.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Days after anthesis
Number of rows removed due to not enough metadata: 0
Returning 43 rows!
Added 43 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS893
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1286/1662 [2:32:49<52:24,  8.36s/it]  
 77%|███████▋  | 1287/1662 [2:32:50<38:05,  6.09s/it]
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
21d-AM-1.CDF
FILES
21d-AM-2.CDF
FILES
21d-AM-3.CDF
FILES
21d-AM-4.CDF
FILES
21d-AM-5.CDF
FILES
21d-AM-6.CDF
FILES
21d-contr-1.CDF
FILES
21d-contr-2.CDF
FILES
21d-contr-3.CDF
FILES
21d-contr-4.CDF
FILES
21d-contr-5.CDF
FILES
21d-contr-6.CDF
FILES
42d-AM-1.CDF
FILES
42d-AM-2.CDF
FILES
42d-AM-3.CDF
FILES
42d-AM-4.CDF
FILES
42d-AM-5.CDF
FILES
42d-AM-6.CDF
FILES
42d-contr-1.CDF
FILES
42d-contr-2.CDF
FILES
42d-contr-3.CDF
FILES
42d-contr-4.CDF
FILES
42d-contr-5.CDF
FILES
42d-contr-6.CDF
FILES
56d-AM-1.CDF
FILES
56d-AM-2.CDF
FILES
56d-AM-3.CDF
FILES
56d-AM-4.CDF
FILES
56d-AM-5.CDF
FILES
56d-AM-6.CDF
FILES
56d-contr-1.CDF
FILES
56d-contr-2.CDF
FILES
56d-contr-3.CDF
FILES
56d-contr-4.CDF
FILES
56d-contr-5.CDF
FILES
56d-contr-6.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Column type
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Days post inoculation
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Mycorrhization
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Plant growth stage
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8943
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8950
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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BG DSS neg 1.wiff
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BU_48h_LJ24h neg 3.wiff
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DSS neg 1.wiff
FILES
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FILES
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FILES
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FILES
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FILES
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BU_0h pos 2.wiff
FILES
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BU_0h pos 3.wiff
FILES
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FILES
RAW_FILES
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BU_48h pos 2.wiff
FILES
RAW_FILES
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BU_48h pos 3.wiff
FILES
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BU_48h_LJ24h pos 1.wiff
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BU_48h_LJ24h pos 2.wiff
FILES
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BU_48h_LJ24h pos 3.wiff
FILES
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DSS pos 1.wiff
FILES
RAW_FILES
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FILES
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FILES
RAW_FILES
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DSS pos 4.wiff
FILES
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DSS pos 5.wiff
FILES
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DSS pos 6.wiff
FILES
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LJCS pos 1.wiff
FILES
RAW_FILES
POS
LJCS pos 2.wiff
FILES
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LJCS pos 3.wiff
FILES
RAW_FILES
POS
Lj pos 1.wiff
FILES
RAW_FILES
POS
Lj pos 2.wiff
FILES
RAW_FILES
POS
Lj pos 3.wiff
FILES
RAW_FILES
POS
Lj pos 4.wiff
FILES
RAW_FILES
POS
Lj pos 5.wiff
FILES
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Lj pos 6.wiff
FILES
RAW_FILES
POS
MRS pos 1.wiff
FILES
RAW_FILES
POS
MRS pos 2.wiff
FILES
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FILES
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FILES
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FILES
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POS
Vehicle pos 4.wiff
FILES
RAW_FILES
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FILES
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POS
Vehicle pos 6.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Experiment
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 77%|███████▋  | 1288/1662 [2:32:57<40:31,  6.50s/it]
 78%|███████▊  | 1289/1662 [2:32:58<30:21,  4.88s/it]
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 24
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8954
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8955
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
neg
EQC.mzML
FILES
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neg
HC10M_f_36_CCa_x2_NEG_092.mzML
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neg
HC10M_f_36_CCp_x2_NEG_068.mzML
FILES
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neg
HC16M_f_54_CCa_x2_NEG_051.mzML
FILES
DERIVED_FILES
neg
HC16M_f_54_CCp_x2_NEG_069.mzML
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neg
HC24_f_54_CCa_x2_NEG_031.mzML
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DERIVED_FILES
neg
HC24_f_54_CCp_x2_NEG_055.mzML
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DERIVED_FILES
neg
HC29_f_60_CCa_x2_NEG_026.mzML
FILES
DERIVED_FILES
neg
HC29_f_60_CCp_x2_NEG_087.mzML
FILES
DERIVED_FILES
neg
HC318_m_58_CCa_x2_NEG_018.mzML
FILES
DERIVED_FILES
neg
HC318_m_58_CCp_x2_NEG_014.mzML
FILES
DERIVED_FILES
neg
HC31_m_60_CCa_x2_NEG_062.mzML
FILES
DERIVED_FILES
neg
HC31_m_60_CCp_x2_NEG_028.mzML
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neg
HC5M_f_24_CCa_x2_NEG_098.mzML
FILES
DERIVED_FILES
neg
HC5M_f_24_CCp_x2_NEG_103.mzML
FILES
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neg
HC6M_m_26_CCa_x2_NEG_005.mzML
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DERIVED_FILES
neg
HC6M_m_26_CCp_x2_NEG_027.mzML
FILES
DERIVED_FILES
neg
HC79_m_60_CCa_x2_NEG_046.mzML
FILES
DERIVED_FILES
neg
HC79_m_60_CCp_x2_NEG_100.mzML
FILES
DERIVED_FILES
neg
HC8M_m_59_CCa_x2_NEG_102.mzML
FILES
DERIVED_FILES
neg
HC8M_m_59_CCp_x2_NEG_008.mzML
FILES
DERIVED_FILES
neg
HC91_f_59_CCa_x2_NEG_097.mzML
FILES
DERIVED_FILES
neg
HC91_f_59_CCp_x2_NEG_015.mzML
FILES
DERIVED_FILES
neg
HC9M_f_62_CCa_x2_NEG_083.mzML
FILES
DERIVED_FILES
neg
HC9M_f_62_CCp_x2_NEG_039.mzML
FILES
DERIVED_FILES
neg
SZ10_f_50_CCp_x2_NEG_064.mzML
FILES
DERIVED_FILES
neg
SZ10_f_50_Cca_x2_NEG_002.mzML
FILES
DERIVED_FILES
neg
SZ11_f_63_CCa_x2_NEG_095.mzML
FILES
DERIVED_FILES
neg
SZ11_f_63_CCp_x2_NEG_090.mzML
FILES
DERIVED_FILES
neg
SZ12_m_34_CCa_x2_NEG_034.mzML
FILES
DERIVED_FILES
neg
SZ12_m_34_CCp_x2_NEG_047.mzML
FILES
DERIVED_FILES
neg
SZ13_m_44_CCa_x2_NEG_011.mzML
FILES
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neg
SZ13_m_44_CCp_x2_NEG_010.mzML
FILES
DERIVED_FILES
neg
SZ1_m_36_CCa_x2_NEG_079.mzML
FILES
DERIVED_FILES
neg
SZ1_m_36_CCp_x2_NEG_025.mzML
FILES
DERIVED_FILES
neg
SZ3_f_57_CCa_x2_NEG_040.mzML
FILES
DERIVED_FILES
neg
SZ3_f_57_CCp_x2_NEG_020.mzML
FILES
DERIVED_FILES
neg
SZ4_f_63_CCa_x2_NEG_067.mzML
FILES
DERIVED_FILES
neg
SZ4_f_63_CCp_x2_NEG_037.mzML
FILES
DERIVED_FILES
neg
SZ5_m_62_CCa_x2_NEG_059.mzML
FILES
DERIVED_FILES
neg
SZ5_m_62_CCp_x2_NEG_073.mzML
FILES
DERIVED_FILES
neg
SZ6_f_62_CCa_x2_NEG_017.mzML
FILES
DERIVED_FILES
neg
SZ6_f_62_CCp_x2_NEG_075.mzML
FILES
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neg
SZ7_m_69_CCa_x2_NEG_044.mzML
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IGNORED:  Samples_Term Accession Number.7/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 100 rows!
Added 100 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9772
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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210715_Sample_147.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filename_lower
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Number of rows removed due to not enough metadata: 0
Returning 198 rows!
Added 198 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS896
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS898
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS899
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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S602A.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 238 rows!
Added 238 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS90
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
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DOIDCommonName: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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120810_Pivus_009502.CDF
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IGNORED:  Assay_Term Source REF.7
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
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Number of rows removed due to not enough metadata: 0
Returning 3846 rows!
Added 3846 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9001
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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FILES
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07252022_024.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 78%|███████▊  | 1296/1662 [2:34:38<1:55:07, 18.87s/it]
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Number of rows removed due to not enough metadata: 0
Returning 109 rows!
Added 109 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9053
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Term Source REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 78%|███████▊  | 1297/1662 [2:34:42<1:26:59, 14.30s/it]
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS906
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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UBERONBodyPartName:
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20180302_Urine_RPp_171.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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20180302_Urine_RPp_211.mzXML
FILES
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20180302_Urine_RPp_212.mzXML
FILES
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20180302_Urine_RPp_213.mzXML
FILES
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FILES
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20180302_Urine_RPp_215.mzXML
FILES
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FILES
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FILES
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20180302_Urine_RPp_219.mzXML
FILES
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20180302_Urine_RPp_220.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 372 rows!
Added 372 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9074
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  row_id
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IGNORED:  Samples_Sample type
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IGNORED:  Samples_Unit
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IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 78%|███████▊  | 1299/1662 [2:34:54<1:00:27,  9.99s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 78%|███████▊  | 1300/1662 [2:34:58<49:04,  8.13s/it]  IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9079
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9087
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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NEG/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 78%|███████▊  | 1301/1662 [2:35:05<46:19,  7.70s/it]
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Returning 176 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS91
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9100
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9119
Request successful!
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IGNORED:  Samples_Term Accession Number/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 78%|███████▊  | 1304/1662 [2:35:13<28:09,  4.72s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▊  | 1305/1662 [2:35:18<28:34,  4.80s/it]
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 72 rows!
Added 72 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9134
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
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FILES
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C21_NEG-C21.mzXML
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D39_POS-D39.mzXML
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DERIVED_FILES
POS
D41_POS-D41.mzXML
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D42_POS-D42.mzXML
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POS
QC-1_POS-QC-1.mzXML
FILES
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QC-2_POS-QC-2.mzXML
FILES
DERIVED_FILES
POS
QC-3_POS-QC-3.mzXML
FILES
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POS
QC-4_POS-QC-4.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9136
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
THP1_KO_6_1.mzML
FILES
DERIVED_FILES
THP1_KO_6_2.mzML
FILES
DERIVED_FILES
THP1_KO_6_3.mzML
FILES
DERIVED_FILES
THP1_WT_6_1.mzML
FILES
DERIVED_FILES
THP1_WT_6_2.mzML
FILES
DERIVED_FILES
THP1_WT_6_3.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▊  | 1306/1662 [2:35:22<27:05,  4.57s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▊  | 1307/1662 [2:35:26<26:14,  4.43s/it]
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9155
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C inert MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
210553.D
FILES
RAW_FILES
210554.D
FILES
RAW_FILES
210555.D
FILES
RAW_FILES
210651.D
FILES
RAW_FILES
210652.D
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Technical replicate
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 5 rows!
Added 5 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS916
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  AB SCIEX TripleTOF 5600+: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
QC1.mzML
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QC2.mzML
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QC3.mzML
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QC9.mzML
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Sample-01.mzML
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Sample-02.mzML
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Sample-03.mzML
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Sample-05.mzML
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Sample-12.mzML
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Sample-14.mzML
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Sample-18.mzML
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Sample-21.mzML
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Sample-22.mzML
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Sample-23.mzML
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Sample-24.mzML
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Sample-25.mzML
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Sample-26.mzML
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Sample-27.mzML
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Sample-28.mzML
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Sample-29.mzML
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Sample-30.mzML
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Sample-31.mzML
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Sample-43.mzML
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Sample-44.mzML
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Sample-45.mzML
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Sample-46.mzML
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Sample-48.mzML
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Sample-49.mzML
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Sample-50.mzML
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Sample-51.mzML
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Sample-52.mzML
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Sample-53.mzML
FILES
DERIVED_FILES
Sample-54.mzML
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DERIVED_FILES
Sample-55.mzML
FILES
DERIVED_FILES
Sample-56.mzML
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Sample-57.mzML
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Sample-58.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
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IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▊  | 1308/1662 [2:35:31<25:29,  4.32s/it]
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 67 rows!
Added 67 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS92
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Q-Tof Premier: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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229MC_Se2593.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1309/1662 [2:35:42<38:09,  6.49s/it]
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_T-stage
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Chemotherapy response
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_BMI
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Her2
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_ER
IGNORED:  Samples_Menopause
IGNORED:  Samples_Grade
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_N-stage
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Series
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 447 rows!
Added 447 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9221
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 186
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS923
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Time point
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 36
Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9273
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 120: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
neg_C1.raw
FILES
neg_C2.raw
FILES
neg_C3.raw
FILES
neg_C4.raw
FILES
neg_CQ1.raw
FILES
neg_CQ2.raw
FILES
neg_CQ3.raw
FILES
neg_CQ4.raw
FILES
pos_C1.raw
FILES
pos_C2.raw
FILES
pos_C3.raw
FILES
pos_C4.raw
FILES
pos_CQ1.raw
FILES
pos_CQ2.raw
FILES
pos_CQ3.raw
FILES
pos_CQ4.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Chloroquine
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9292
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1313/1662 [2:36:07<32:53,  5.66s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1314/1662 [2:36:11<30:52,  5.32s/it]
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
NEG_Gg04LF_BSDM1.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_BSDM2.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_BSDM3.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_BSDM4.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_BSDM5.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_BSDM6.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_CON1.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_CON2.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_CON3.raw
FILES
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NEG
NEG_Gg04LF_CON4.raw
FILES
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NEG
NEG_Gg04LF_CON5.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_CON6.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_QC01.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_QC02.raw
FILES
RAW_FILES
NEG
NEG_Gg04LF_QC03.raw
FILES
RAW_FILES
POS
POS_Gg04LF_BSDM1.raw
FILES
RAW_FILES
POS
POS_Gg04LF_BSDM2.raw
FILES
RAW_FILES
POS
POS_Gg04LF_BSDM3.raw
FILES
RAW_FILES
POS
POS_Gg04LF_BSDM4.raw
FILES
RAW_FILES
POS
POS_Gg04LF_BSDM5.raw
FILES
RAW_FILES
POS
POS_Gg04LF_BSDM6.raw
FILES
RAW_FILES
POS
POS_Gg04LF_CON1.raw
FILES
RAW_FILES
POS
POS_Gg04LF_CON2.raw
FILES
RAW_FILES
POS
POS_Gg04LF_CON3.raw
FILES
RAW_FILES
POS
POS_Gg04LF_CON4.raw
FILES
RAW_FILES
POS
POS_Gg04LF_CON5.raw
FILES
RAW_FILES
POS
POS_Gg04LF_CON6.raw
FILES
RAW_FILES
POS
POS_Gg04LF_QC01.raw
FILES
RAW_FILES
POS
POS_Gg04LF_QC02.raw
FILES
RAW_FILES
POS
POS_Gg04LF_QC03.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9293
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
n11.wiff
FILES
RAW_FILES
NEG
n12.wiff
FILES
RAW_FILES
NEG
n13.wiff
FILES
RAW_FILES
NEG
n21.wiff
FILES
RAW_FILES
NEG
n22.wiff
FILES
RAW_FILES
NEG
n23.wiff
FILES
RAW_FILES
NEG
nblank1.wiff
FILES
RAW_FILES
NEG
nblank2.wiff
FILES
RAW_FILES
NEG
nrtqc1.wiff
FILES
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POS
p11.wiff
FILES
RAW_FILES
POS
p12.wiff
FILES
RAW_FILES
POS
p13.wiff
FILES
RAW_FILES
POS
p21.wiff
FILES
RAW_FILES
POS
p22.wiff
FILES
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POS
p23.wiff
FILES
RAW_FILES
POS
pblank1.wiff
FILES
RAW_FILES
POS
pblank2.wiff
FILES
RAW_FILES
POS
pblank3.wiff
FILES
RAW_FILES
POS
prtqc1.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9306
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
negative-Con-1.raw
FILES
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NEG
negative-Con-2.raw
FILES
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NEG
negative-Con-3.raw
FILES
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NEG
negative-Con-4.raw
FILES
RAW_FILES
NEG
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FILES
RAW_FILES
NEG
negative-Con-6.raw
FILES
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NEG
negative-HAPA-1.raw
FILES
RAW_FILES
NEG
negative-HAPA-2.raw
FILES
RAW_FILES
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FILES
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NEG
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FILES
RAW_FILES
NEG
negative-HAPA-5.raw
FILES
RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1315/1662 [2:36:16<28:44,  4.97s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1316/1662 [2:36:19<26:27,  4.59s/it]
 79%|███████▉  | 1317/1662 [2:36:21<20:56,  3.64s/it]
NEG
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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negative-Mod-2.raw
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FILES
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FILES
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positive-Con-1.raw
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positive-Con-3.raw
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positive-Con-4.raw
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positive-Con-5.raw
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positive-Con-6.raw
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positive-HAPA-1.raw
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positive-HAPA-2.raw
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positive-Mod-6.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9365
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
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FILES
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Samples_Organism
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9394
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9415
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1318/1662 [2:36:26<23:07,  4.03s/it]
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 76 rows!
Added 76 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9418
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
21103
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FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_23.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_24.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_25.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_27.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_28.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_29.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_30.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_31.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_32.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_33.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS2_34.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_03.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_04.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_05.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_06.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_07.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_08.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_10.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_11.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_12.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_13.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_14.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_15.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_16.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_17.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_19.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_20.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_21.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_22.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_23.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_24.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_25.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_27.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_28.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_29.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_30.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_31.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_32.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_33.mzML
FILES
21103
21103 Method 1
QXA15POSEAR20191014_NCIA0819ML_HUMAN_PANCREAS3_34.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_03.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_04.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_05.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_06.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_07.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_08.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_10.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_11.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_12.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_13.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_14.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_15.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_16.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_17.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_19.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_20.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_21.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_22.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_23.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_24.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_25.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_27.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_28.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_29.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_30.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_31.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_32.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_33.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS1_34.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_03.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_04.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_05.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_06.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_07.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_08.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_10.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_11.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_12.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_13.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_14.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_15.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_16.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_17.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_19.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_20.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_21.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_22.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_23.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_24.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_25.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_27.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_28.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_29.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_30.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_31.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_32.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_33.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS2_34.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_03.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_04.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_05.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_06.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_07.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_08.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_10.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_11.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_12.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_13.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_14.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_15.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_16.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_17.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_19.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_20.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_21.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_22.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_23.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_24.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_25.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_27.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_28.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_29.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_30.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_31.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_32.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_33.mzML
FILES
21103
21103 Method 2
QXA15POSLAT20191014_NCIA0819ML_HUMAN_PANCREAS3_34.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_03.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_04.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_05.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_06.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_07.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_08.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_10.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_11.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_12.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_13.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_14.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_15.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_16.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_17.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_19.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_20.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_21.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_22.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_23.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_24.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_25.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_27.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_28.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_29.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_30.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_31.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_32.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_33.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS1_34.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_03.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_04.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_05.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_06.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_07.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_08.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_10.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_11.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_12.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_13.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_14.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_15.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_16.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_17.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_19.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_20.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_21.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_22.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_23.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_24.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_25.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_27.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_28.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_29.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_30.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_31.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_32.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_33.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS2_34.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_03.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_04.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_05.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_06.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_07.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_08.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_10.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_11.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_12.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_13.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_14.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_15.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_16.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_17.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_19.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_20.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_21.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_22.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_23.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_24.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_25.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_27.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_28.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_29.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_30.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_31.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_32.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_33.mzML
FILES
21103
21103 Method 3
QXA14NEG20191014_NCIA0819ML_HUMAN_PANCREAS3_34.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_03.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_04.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_05.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_06.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_07.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_08.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_10.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_11.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_12.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_13.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_14.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_15.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_16.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_17.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_19.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_20.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_21.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_22.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_23.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_24.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_25.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_27.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_28.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_29.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_30.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_31.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_32.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_33.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS1_34.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_03.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_04.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_05.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_06.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_07.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_08.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_10.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_11.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_12.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_13.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_14.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_15.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_16.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_17.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_19.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_20.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_21.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_22.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_23.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_24.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_25.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_27.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_28.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_29.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_30.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_31.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_32.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_33.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS2_34.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_03.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_04.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_05.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_06.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_07.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_08.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_10.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_11.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_12.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_13.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_14.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_15.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_16.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_17.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_19.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_20.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_21.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_22.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_23.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_24.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_25.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_27.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_28.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_29.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_30.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_31.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_32.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_33.mzML
FILES
21103
21103 Method 4
QXA16POL20191014_NCIA0819ML_HUMAN_PANCREAS3_34.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS1_03.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS1_06.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS1_11.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS1_15.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS2_10.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS2_27.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS3_22.mzML
FILES
23607
23607 Method 1
QXA10POSEAR20210914_NCIA0121VW_HUMAN_CELLS3_23.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS1_03.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS1_06.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS1_11.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS1_15.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS2_10.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS2_27.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS3_22.mzML
FILES
23607
23607 Method 2
QXA10POSLAT20210914_NCIA0121VW_HUMAN_CELLS3_23.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS1_03.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS1_06.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS1_11.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS1_15.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS2_10.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS2_27.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS3_22.mzML
FILES
23607
23607 Method 3
QXA09NEG20210914_NCIA0121VW_HUMAN_CELLS3_23.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS1_03.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS1_06.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS1_11.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS1_15.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS2_10.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS2_27.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS3_22.mzML
FILES
23607
23607 Method 4
QXA08POL20210914_NCIA0121VW_HUMAN_CELLS3_23.mzML
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1319/1662 [2:36:36<34:48,  6.09s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1320/1662 [2:36:41<32:42,  5.74s/it]
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
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IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 380 rows!
Added 380 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9419
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
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IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 106 rows!
Added 106 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS943
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
01.mzXML
FILES
02.mzXML
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03.mzXML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 79%|███████▉  | 1321/1662 [2:36:48<33:30,  5.89s/it]
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Species
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Term Source REF.6
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 25 rows!
Added 25 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9434
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
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NEG
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NEG
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NEG
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Plasma_NASH_Mouse
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NEG
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NEG
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
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NEG
033_HN_P_QC15.d
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NEG
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NEG
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
038_HN_P_S6_Vehicle.d
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Plasma_NASH_Mouse
NEG
039_HN_P_S9_Vehicle.d
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Plasma_NASH_Mouse
NEG
040_HN_P_QC16.d
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NEG
041_HN_P_S25_MKK.d
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
043_HN_P_S20_MKK.d
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
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Plasma_NASH_Mouse
NEG
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NEG
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Plasma_NASH_Mouse
NEG
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NEG
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Plasma_NASH_Mouse
NEG
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NEG
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NEG
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Plasma_NASH_Mouse
NEG
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NEG
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NEG
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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Plasma_NASH_Mouse
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Plasma_WT_Mouse
POS
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RAW_FILES
Plasma_WT_Mouse
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Plasma_WT_Mouse
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Plasma_WT_Mouse
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RAW_FILES
Plasma_WT_Mouse
POS
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Plasma_WT_Mouse
POS
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 226 rows!
Added 226 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS944
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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10.mzXML
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22.mzXML
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23.mzXML
FILES
24.mzXML
FILES
25.mzXML
FILES
26.mzXML
FILES
27.mzXML
FILES
28.mzXML
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29.mzXML
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3.mzXML
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30.mzXML
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31.mzXML
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32.mzXML
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33.mzXML
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34.mzXML
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35.mzXML
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36.mzXML
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37.mzXML
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38.mzXML
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39.mzXML
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4.mzXML
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40.mzXML
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41.mzXML
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42.mzXML
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43.mzXML
FILES
44.mzXML
FILES
45.mzXML
FILES
46.mzXML
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47.mzXML
FILES
48.mzXML
FILES
49.mzXML
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5.mzXML
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50.mzXML
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51.mzXML
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52.mzXML
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53.mzXML
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54.mzXML
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55.mzXML
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56.mzXML
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57.mzXML
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58.mzXML
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59.mzXML
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6.mzXML
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60.mzXML
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61.mzXML
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62.mzXML
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63.mzXML
FILES
64.mzXML
FILES
65.mzXML
FILES
66.mzXML
FILES
67.mzXML
FILES
68.mzXML
FILES
69.mzXML
FILES
7.mzXML
FILES
70.mzXML
FILES
71.mzXML
FILES
72.mzXML
FILES
73.mzXML
FILES
74.mzXML
FILES
75.mzXML
FILES
76.mzXML
FILES
77.mzXML
FILES
78.mzXML
FILES
79.mzXML
FILES
80.mzXML
FILES
81.mzXML
FILES
82.mzXML
FILES
83.mzXML
FILES
84.mzXML
FILES
85.mzXML
FILES
86.mzXML
FILES
87.mzXML
FILES
9.mzXML
FILES
91.mzXML
FILES
92.mzXML
FILES
93.mzXML
FILES
94.mzXML
FILES
95.mzXML
FILES
96.mzXML
FILES
97.mzXML
FILES
98.mzXML
FILES
99.mzXML
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Temperature
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Precipitation
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Solar radiation
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Location
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Season
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Elevation
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Genus
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 114 rows!
Added 114 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9451
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|███████▉  | 1324/1662 [2:37:48<1:22:03, 14.57s/it]
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 120: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
neg_QC1.raw
FILES
RAW_FILES
NEG
neg_QC2.raw
FILES
RAW_FILES
NEG
neg_QC3.raw
FILES
RAW_FILES
NEG
neg_QC4.raw
FILES
RAW_FILES
NEG
neg_QC5.raw
FILES
RAW_FILES
NEG
neg_QC6.raw
FILES
RAW_FILES
NEG
neg_QC7.raw
FILES
RAW_FILES
NEG
neg_QC8.raw
FILES
RAW_FILES
NEG
neg_QC9.raw
FILES
RAW_FILES
NEG
neg_T2C1.raw
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RAW_FILES
NEG
neg_T2C2.raw
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RAW_FILES
NEG
neg_T2C3.raw
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RAW_FILES
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neg_T2C4.raw
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RAW_FILES
NEG
neg_T2FMT1.raw
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RAW_FILES
NEG
neg_T2FMT2.raw
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RAW_FILES
NEG
neg_T2FMT3.raw
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RAW_FILES
NEG
neg_T2FMT4.raw
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RAW_FILES
NEG
neg_T2M1.raw
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RAW_FILES
NEG
neg_T2M2.raw
FILES
RAW_FILES
NEG
neg_T2M3.raw
FILES
RAW_FILES
NEG
neg_T2M4.raw
FILES
RAW_FILES
NEG
neg_T2NS1.raw
FILES
RAW_FILES
NEG
neg_T2NS2.raw
FILES
RAW_FILES
NEG
neg_T2NS3.raw
FILES
RAW_FILES
NEG
neg_T2NS4.raw
FILES
RAW_FILES
POS
pos_QC1.raw
FILES
RAW_FILES
POS
pos_QC2.raw
FILES
RAW_FILES
POS
pos_QC3.raw
FILES
RAW_FILES
POS
pos_QC4.raw
FILES
RAW_FILES
POS
pos_QC5.raw
FILES
RAW_FILES
POS
pos_QC6.raw
FILES
RAW_FILES
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pos_QC7.raw
FILES
RAW_FILES
POS
pos_QC8.raw
FILES
RAW_FILES
POS
pos_QC9.raw
FILES
RAW_FILES
POS
pos_T2C1.raw
FILES
RAW_FILES
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pos_T2C2.raw
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RAW_FILES
POS
pos_T2C3.raw
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RAW_FILES
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pos_T2C4.raw
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RAW_FILES
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pos_T2FMT1.raw
FILES
RAW_FILES
POS
pos_T2FMT2.raw
FILES
RAW_FILES
POS
pos_T2FMT3.raw
FILES
RAW_FILES
POS
pos_T2FMT4.raw
FILES
RAW_FILES
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pos_T2M1.raw
FILES
RAW_FILES
POS
pos_T2M2.raw
FILES
RAW_FILES
POS
pos_T2M3.raw
FILES
RAW_FILES
POS
pos_T2M4.raw
FILES
RAW_FILES
POS
pos_T2NS1.raw
FILES
RAW_FILES
POS
pos_T2NS2.raw
FILES
RAW_FILES
POS
pos_T2NS3.raw
FILES
RAW_FILES
POS
pos_T2NS4.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS946
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
10_post_F_A.mzXML
FILES
10_post_F_A_neg.mzXML
FILES
10_pre_F_A.mzXML
FILES
10_pre_F_A_neg.mzXML
FILES
11_post_M_A.mzXML
FILES
11_post_M_A_neg.mzXML
FILES
12_post_M_A.mzXML
FILES
12_post_M_A_neg.mzXML
FILES
12_pre_M_A.mzXML
FILES
12_pre_M_A_neg.mzXML
FILES
13_post_M_A_neg.mzXML
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13_pre_M_A.mzXML
FILES
13_pre_M_A_neg.mzXML
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14_post_M_A.mzXML
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14_post_M_A_neg.mzXML
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14_pre_M_A.mzXML
FILES
14_pre_M_A_neg.mzXML
FILES
1_post_M_A.mzXML
FILES
1_post_M_A_neg.mzXML
FILES
2_post_M_A.mzXML
FILES
2_post_M_A_neg.mzXML
FILES
3_post_F_A.mzXML
FILES
3_post_F_A_neg.mzXML
FILES
3_pre_F_A.mzXML
FILES
3_pre_F_A_neg.mzXML
FILES
4_post_M_A.mzXML
FILES
4_post_M_A_neg.mzXML
FILES
4_pre_M_A.mzXML
FILES
4_pre_M_A_neg.mzXML
FILES
5_post_M_A.mzXML
FILES
5_post_M_A_neg.mzXML
FILES
5_pre_M_A.mzXML
FILES
5_pre_M_A_neg.mzXML
FILES
6_pre_M_A.mzXML
FILES
6_pre_M_A_neg.mzXML
FILES
7_post_F_A.mzXML
FILES
7_post_F_A_neg.mzXML
FILES
8_post_M_A.mzXML
FILES
8_post_M_A_neg.mzXML
FILES
8_pre_M_A.mzXML
FILES
8_pre_M_A_neg.mzXML
FILES
9_post_M_A.mzXML
FILES
9_post_M_A_neg.mzXML
FILES
9_pre_M_A.mzXML
FILES
9_pre_M_A_neg.mzXML
FILES
Blank_A.mzXML
FILES
Blank_A_2_neg.mzXML
FILES
Pool_Post_Neg.mzXML
FILES
Pool_Pre_Neg.mzXML
FILES
Pool_post_A.mzXML
FILES
Pool_pre_A.mzXML
FILES
Proc_blank_A.mzXML
FILES
Proc_blank_A_neg.mzXML
FILES
QC_A.mzXML
FILES
QC_A_neg.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Collection Time Point
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 80%|███████▉  | 1325/1662 [2:37:53<1:05:39, 11.69s/it]
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 51 rows!
Added 51 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS948
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_03.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_04.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_05.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_06.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_07.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_08.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_09.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_10.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_11.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_12.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_14.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_15.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_16.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_17.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_18.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_19.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_20.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_21.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_22.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_23.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_25.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_26.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_27.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_28.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_29.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_30.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_31.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_32.mzML
FILES
QXA11NEG20181129_CHHB0218ML_HUMAN_PLASMA1_33.mzML
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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|███████▉  | 1326/1662 [2:38:11<1:15:24, 13.47s/it]
 80%|███████▉  | 1327/1662 [2:38:11<54:04,  9.69s/it]  
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  base
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IGNORED:  filepath
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IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Assay_Term Accession Number.21
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 676 rows!
Added 676 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS952
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS954
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
IonizationSourceAndPolarity:
   (positive): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES
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IGNORED:  Assay_Spectrum representation
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IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Assay_Term Accession Number.22
IGNORED:  row_id
IGNORED:  Assay_Term Source REF.25
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF.34
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.39
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Accession Number.33
IGNORED:  Assay_Term Source REF.22
IGNORED:  Assay_Term Source REF.23
IGNORED:  Assay_Term Accession Number.28
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Term Accession Number.32
IGNORED:  Assay_Term Source REF.30
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Assay_Term Source REF.32
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Assay_Term Source REF.27
IGNORED:  Assay_Term Source REF.40
IGNORED:  Assay_Term Accession Number.42
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.36
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Term Source REF.28
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Spatial resolution
IGNORED:  Assay_Term Accession Number.29
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Term Accession Number.31
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Term Source REF.24
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Assay_Term Source REF.41
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Tissue Sample
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Assay_Term Source REF.16
IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.15
IGNORED:  Assay_Term Source REF.29
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Term Accession Number.36
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  Assay_Term Source REF.21
IGNORED:  Assay_Term Source REF.17
IGNORED:  Assay_Term Accession Number.27
IGNORED:  Assay_Term Source REF.37
IGNORED:  Assay_Term Source REF.12/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|███████▉  | 1328/1662 [2:38:18<48:45,  8.76s/it]
 80%|███████▉  | 1329/1662 [2:38:19<35:24,  6.38s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 80%|████████  | 1330/1662 [2:38:24<33:23,  6.04s/it]
 80%|████████  | 1331/1662 [2:38:25<25:20,  4.59s/it]
IGNORED:  Assay_Scan type
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Source REF.33
IGNORED:  Assay_Term Accession Number.37
IGNORED:  Assay_Normalization Name
IGNORED:  filepath
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
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IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Solvent
IGNORED:  Assay_Term Source REF.10
IGNORED:  Assay_Term Accession Number.24
IGNORED:  Assay_Term Source REF.26
IGNORED:  Assay_Target material
IGNORED:  Assay_Term Accession Number.40
IGNORED:  Assay_Term Accession Number.41
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Term Accession Number.30
IGNORED:  Assay_Term Accession Number.26
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Assay_Term Accession Number.34
IGNORED:  Assay_Term Accession Number.21
IGNORED:  filename_lower
IGNORED:  Assay_Term Accession Number.23
IGNORED:  Assay_Term Source REF.42
IGNORED:  Assay_Term Accession Number.25
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Term Source REF.31
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Accession Number.39
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Source REF.35
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Term Accession Number.35
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.38
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Term Accession Number.38
Number of rows removed due to not enough metadata: 4
Returning 11 rows!
Added 11 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS957
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS959
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
180724_DG180705_01.raw
FILES
180724_DG180705_02.raw
FILES
180724_DG180705_03.raw
FILES
180724_DG180705_04.raw
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180724_DG180705_05.raw
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180724_DG180705_06.raw
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180724_DG180705_07.raw
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180724_DG180705_08.raw
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FILES
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FILES
180724_DG180705_Lipidomix_10ugmL.raw
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180724_DG180705_PBQC_1.raw
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180724_DG180705_PBQC_10.raw
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180724_DG180705_PBQC_3.raw
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180724_DG180705_PBQC_4.raw
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180724_DG180705_PBQC_6.raw
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180724_DG180705_PBQC_7.raw
FILES
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FILES
180724_DG180705_PBQC_9.raw
FILES
180724_DG180705_blank9.raw
FILES
180830_DG180705_PBQC_MS2neg_1.raw
FILES
180830_DG180705_PBQC_MS2neg_3.raw
FILES
180830_DG180705_PBQC_MS2neg_4.raw
FILES
180830_DG180705_PBQC_MS2pos_1.raw
FILES
180830_DG180705_PBQC_MS2pos_2.raw
FILES
180830_DG180705_PBQC_MS2pos_3.raw
FILES
180830_DG180705_PBQC_MS2pos_4.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Disease condition
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 3
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS962
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS963
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Bruker maXis UHR-ToF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
CelegansFraction2_AutoMSn_001.mzML
FILES
DERIVED_FILES
CelegansFraction2_AutoMSn_002.mzML
FILES
DERIVED_FILES
CelegansFraction4_AutoMSn_001.mzML
FILES
DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|████████  | 1332/1662 [2:38:28<22:43,  4.13s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|████████  | 1333/1662 [2:38:31<20:54,  3.81s/it]
CelegansFraction4_AutoMSn_002.mzML
FILES
DERIVED_FILES
CelegansFraction4_AutoMSn_003.mzML
FILES
DERIVED_FILES
CelegansFraction6_AutoMSn_001.mzML
FILES
DERIVED_FILES
CelegansLipidExtract_AutoMSn.mzML
FILES
DERIVED_FILES
CelegansLipidExtract_bbCID.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Fraction
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
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IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9657
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 4600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
Control 1.mzXML
FILES
DERIVED_FILES
Control 2.mzXML
FILES
DERIVED_FILES
Control 3.mzXML
FILES
DERIVED_FILES
Experiment 1.mzXML
FILES
DERIVED_FILES
Experiment 2.mzXML
FILES
DERIVED_FILES
Experiment 3.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Mechanical confinement
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9673
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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FILES
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FILES
neg_C2.raw
FILES
neg_C3.raw
FILES
neg_C4.raw
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neg_V2.raw
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FILES
pos_C1.raw
FILES
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pos_C3.raw
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pos_C6.raw
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pos_V1.raw
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pos_V5.raw
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pos_V6.raw
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IGNORED:  Samples_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|████████  | 1334/1662 [2:38:35<20:02,  3.67s/it]
 80%|████████  | 1335/1662 [2:38:35<15:16,  2.80s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|████████  | 1336/1662 [2:38:40<18:28,  3.40s/it]
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9677
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS968
Request successful!
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Number of rows removed due to not enough metadata: 0
Returning 108 rows!
Added 108 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9737
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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MassSpectrometer:
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UBERONBodyPartName:
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FILES
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HFX13_1851139_CN_QC1.mzML
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HFX13_1851139_CN_blank.mzML
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HFX13_CN1_FZTM230061693-1A.mzML
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HFX13_1851139_CP_QC2.mzML
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HFX13_1851139_CP_QC3.mzML
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HFX13_1851139_CP_blank.mzML
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HFX13_CP1_FZTM230061693-1A.mzML
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POS
HFX13_CP1_FZTM230061698-1A.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 80%|████████  | 1337/1662 [2:38:45<20:03,  3.70s/it]
 81%|████████  | 1338/1662 [2:38:48<19:29,  3.61s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████  | 1339/1662 [2:38:52<19:36,  3.64s/it]
FILES
DERIVED_FILES
POS
HFX13_CP2_FZTM230061699-1A.mzML
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DERIVED_FILES
POS
HFX13_CP2_FZTM230061700-1A.mzML
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POS
HFX13_CP2_FZTM230061703-1A.mzML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS974
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9769
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9794
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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HFX11_CN1_FZTM220336784-1A.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 98 rows!
Added 98 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS981
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS982
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Quantum: missing value
IonizationSourceAndPolarity:
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SAV_130405_053_Me20.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 105 rows!
Added 105 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9823
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 66 rows!
Added 66 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS984
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9845
Request successful!
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POS_ZJ5_T6.raw
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POS_ZJ6_T1.raw
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POS_ZJ6_T2.raw
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POS_ZJ6_T3.raw
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POS
POS_ZJ6_T4.raw
FILES
RAW_FILES
POS
POS_ZJ6_T5.raw
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RAW_FILES
POS
POS_ZJ6_T6.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████  | 1345/1662 [2:39:14<20:46,  3.93s/it]
 81%|████████  | 1346/1662 [2:39:15<16:08,  3.06s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████  | 1347/1662 [2:39:19<17:15,  3.29s/it]
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 158 rows!
Added 158 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9853
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9874
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9929
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
FILES
DERIVED_FILES
IL_NEG.mzXML
FILES
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UIL_NEG.mzXML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Protocol REF.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████  | 1348/1662 [2:39:23<18:09,  3.47s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████  | 1349/1662 [2:39:27<18:36,  3.57s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████  | 1350/1662 [2:39:30<18:50,  3.62s/it]
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 4
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9930
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
FILES
DERIVED_FILES
IL_neg.mzXML
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IL_pos.mzXML
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ML_neg.mzXML
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ML_pos.mzXML
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UIL_neg.mzXML
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 6
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9938
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9985
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████▏ | 1351/1662 [2:39:35<20:07,  3.88s/it]
 81%|████████▏ | 1352/1662 [2:39:36<15:26,  2.99s/it]
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
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KB1.raw
FILES
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KB2.raw
FILES
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KB3.raw
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T-1.raw
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T-11.raw
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T-12.raw
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T-13.raw
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T-15.raw
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T-17.raw
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T-18.raw
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T-19.raw
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RAW_FILES
NEG
T-2.raw
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RAW_FILES
NEG
T-20.raw
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RAW_FILES
NEG
T-3.raw
FILES
RAW_FILES
NEG
T-4.raw
FILES
RAW_FILES
NEG
T-5.raw
FILES
RAW_FILES
NEG
T-6.raw
FILES
RAW_FILES
NEG
T-7.raw
FILES
RAW_FILES
NEG
T-8.raw
FILES
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T-9.raw
FILES
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KB1.raw
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KB2.raw
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T-4.raw
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T-9.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10078
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10083
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
22P11650002_OCTML_NEG.raw
FILES
22P11650002_OCTML_POS.raw
FILES
22P11650006_OCTML_NEG.raw
FILES
22P11650006_OCTML_POS.raw
FILES
22P11650010_OCTML_NEG.raw
FILES
22P11650010_OCTML_POS.raw
FILES
22P11650014_OCTML_NEG.raw
FILES
22P11650014_OCTML_POS.raw
FILES
22P11650018_OCTML_NEG.raw
FILES
22P11650018_OCTML_POS.raw
FILES
22P11650022_OCTML_NEG.raw
FILES
22P11650022_OCTML_POS.raw
FILES
22P11650026_OCTML_NEG.raw
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22P11650026_OCTML_POS.raw
FILES
22P11650030_OCTML_NEG.raw
FILES
22P11650030_OCTML_POS.raw
FILES
22P11650034_OCTML_NEG.raw
FILES
22P11650034_OCTML_POS.raw
FILES
22P11650038_OCTML_NEG.raw
FILES
22P11650038_OCTML_POS.raw
FILES
22P11650041_OCTML_NEG.raw
FILES
22P11650041_OCTML_POS.raw
FILES
22P11650045_OCTML_NEG.raw
FILES
22P11650045_OCTML_POS.raw
FILES
BLANK_OCTML_NEG.raw
FILES
BLANK_OCTML_POS.raw
FILES
DB_OCTML_NEG_01.raw
FILES
DB_OCTML_NEG_02.raw
FILES
DB_OCTML_NEG_03.raw
FILES
DB_OCTML_NEG_04.raw
FILES
DB_OCTML_NEG_05.raw
FILES
DB_OCTML_NEG_06.raw
FILES
DB_OCTML_POS_01.raw
FILES
DB_OCTML_POS_02.raw
FILES
DB_OCTML_POS_03.raw
FILES
DB_OCTML_POS_04.raw
FILES
DB_OCTML_POS_05.raw
FILES
DB_OCTML_POS_06.raw
FILES
PRE_QC_OCTML_NEG.raw
FILES
PRE_QC_OCTML_POS.raw
FILES
QC_OCTML_NEG_06.raw
FILES
QC_OCTML_NEG_07.raw
FILES
QC_OCTML_NEG_08.raw
FILES
QC_OCTML_NEG_09.raw
FILES
QC_OCTML_NEG_10.raw
FILES
QC_OCTML_NEG_11.raw
FILES
QC_OCTML_NEG_12.raw
FILES
QC_OCTML_NEG_13.raw
FILES
QC_OCTML_NEG_14.raw
FILES
QC_OCTML_NEG_MSMS1.raw
FILES
QC_OCTML_NEG_MSMS2.raw
FILES
QC_OCTML_NEG_MSMS3.raw
FILES
QC_OCTML_NEG_MSMS4.raw
FILES
QC_OCTML_NEG_MSMS5.raw
FILES
QC_OCTML_POS_06.raw
FILES
QC_OCTML_POS_07.raw
FILES
QC_OCTML_POS_08.raw
FILES
QC_OCTML_POS_09.raw
FILES
QC_OCTML_POS_10.raw
FILES
QC_OCTML_POS_11.raw
FILES
QC_OCTML_POS_12.raw
FILES
QC_OCTML_POS_13.raw
FILES
QC_OCTML_POS_14.raw
FILES
QC_OCTML_POS_MSMS1.raw
FILES
QC_OCTML_POS_MSMS2.raw
FILES
QC_OCTML_POS_MSMS3.raw
FILES
QC_OCTML_POS_MSMS4.raw
FILES
QC_OCTML_POS_MSMS5.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 81%|████████▏ | 1353/1662 [2:39:40<17:43,  3.44s/it]
 81%|████████▏ | 1354/1662 [2:39:41<13:36,  2.65s/it]
 82%|████████▏ | 1355/1662 [2:39:42<10:41,  2.09s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 82%|████████▏ | 1356/1662 [2:39:47<15:04,  2.96s/it]
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 68 rows!
Added 68 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10304
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS104
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10400
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF X500R: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
M1 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
M1 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
M2 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
M2 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
M3 MS1 SWATH-MS2 chain composition level.mzML
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DERIVED_FILES
M3 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
M4 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
M4 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
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DERIVED_FILES
M5 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
M5 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
M6 MS1 SWATH-MS2 chain composition level.mzML
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DERIVED_FILES
M6 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
M7 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
M7 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
M8 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
M8 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
N1 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
N1 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
N2 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
N2 PB-MS1 SWATH-MS2 CdblC location level_2.mzML
FILES
DERIVED_FILES
N3 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
N3 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
N4 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
N4 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
N5 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
N5 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
N6 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
N6 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W1 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W1 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W2 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W2 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W3 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W3 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W4 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W4 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W5 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W5 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W6 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W6 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W7 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W7 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
W8 MS1 SWATH-MS2 chain composition level.mzML
FILES
DERIVED_FILES
W8 PB-MS1 SWATH-MS2 CdblC location level_1.mzML
FILES
DERIVED_FILES
pooled human brain- targeted MS2-injection_7.mzML
FILES
DERIVED_FILES
pooled human brain-SWATH CdblC location profiling -25 experiments-injection 1_2.mzML
FILES
DERIVED_FILES
pooled human brain-SWATH CdblC location profiling-25 experiments-injection 1_1.mzML
FILES
DERIVED_FILES
pooled human brain-SWATH CdblC location profiling-25 experiments-injection 1_3.mzML
FILES
DERIVED_FILES
pooled human brain-SWATH CdblC location profiling-25 experiments-injection 2_1.mzML
FILES
DERIVED_FILES
pooled human brain-SWATH CdblC location profiling-25 experiments-injection 2_2.mzML
FILES
DERIVED_FILES
pooled human brain-SWATH CdblC location profiling-25 experiments-injection 2_3.mzML
FILES
DERIVED_FILES
porcine brain -MS1 SWATH MS2-CdblC location level 1_1.mzML
FILES
DERIVED_FILES
porcine brain -MS1 SWATH MS2-CdblC location level 2_1.mzML
FILES
DERIVED_FILES
porcine brain -MS1 SWATH MS2-CdblC location level 3_1.mzML
FILES
DERIVED_FILES
porcine brain -MS1 SWATH MS2_4.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Derivatization
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Number of rows removed due to not enough metadata: 0
Returning 55 rows!
Added 55 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10401
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker impact II UHR-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 82%|████████▏ | 1357/1662 [2:39:55<22:18,  4.39s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 82%|████████▏ | 1358/1662 [2:39:59<22:01,  4.35s/it]
 82%|████████▏ | 1359/1662 [2:40:00<16:34,  3.28s/it]
IGNORED:  Samples_Disease
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Number of rows removed due to not enough metadata: 0
Returning 336 rows!
Added 336 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10408
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent QTOF 6545: missing value
ENVOEnvironmentBiome:
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10450
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10453
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IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 36 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10481
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Try using .loc[row_indexer,col_indexer] = value instead

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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Processing
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Culture time
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
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IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Isotopic labeling
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Donor
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 354 rows!
Added 354 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10724
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1103
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1124
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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menLCCstage2_1063.mzML
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menLCCstage2_1333.mzML
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menLCCstage2_134.mzML
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menLCCstage2_1374.mzML
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menLCCstage2_1402.mzML
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menLCCstage2_1415.mzML
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menLCCstage2_1723.mzML
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menLCCstage2_1788.mzML
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menLCCstage2_181.mzML
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menLCCstage2_1894.mzML
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menLCCstage2_203.mzML
FILES
menLCCstage2_2070.mzML
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menLCCstage2_2247.mzML
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menLCCstage2_240.mzML
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menLCCstage2_2421.mzML
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menLCCstage2_295.mzML
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menLCCstage2_373.mzML
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menLCCstage2_525.mzML
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menLCCstage2_531.mzML
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menLCCstage2_625.mzML
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menLCCstage2_714.mzML
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menLCCstage2_868.mzML
FILES
menLCCstage2_893.mzML
FILES
menLCCstage2_971.mzML
FILES
menLCCstage3_1030.mzML
FILES
menLCCstage3_1042.mzML
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menLCCstage3_1638.mzML
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menLCCstage3_1709.mzML
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menLCCstage3_2124.mzML
FILES
menLCCstage3_229.mzML
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menLCCstage3_2297.mzML
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menLCCstage3_2559.mzML
FILES
menLCCstage3_258.mzML
FILES
menLCCstage3_537.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 82%|████████▏ | 1364/1662 [2:40:20<19:48,  3.99s/it]
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menLCCstage3_664.mzML
FILES
menLCCstage3_67.mzML
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menLCCstage3_717.mzML
FILES
menLCCstage3_988.mzML
FILES
menRCCstage1_1266.mzML
FILES
menRCCstage1_1475.mzML
FILES
menRCCstage1_1528.mzML
FILES
menRCCstage1_1543.mzML
FILES
menRCCstage1_1902.mzML
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menRCCstage1_2034.mzML
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menRCCstage1_2163.mzML
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menRCCstage1_2554.mzML
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menRCCstage1_2622.mzML
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menRCCstage1_47.mzML
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menRCCstage2_1193.mzML
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menRCCstage2_1379.mzML
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menRCCstage2_1452.mzML
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menRCCstage2_1501.mzML
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menRCCstage2_2041.mzML
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menRCCstage2_2054.mzML
FILES
menRCCstage2_2408.mzML
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menRCCstage2_2498.mzML
FILES
menRCCstage2_2520.mzML
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menRCCstage2_2551.mzML
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menRCCstage2_2662.mzML
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menRCCstage2_2683.mzML
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menRCCstage2_329.mzML
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menRCCstage2_534.mzML
FILES
menRCCstage2_797.mzML
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menRCCstage2_810.mzML
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menRCCstage2_885.mzML
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menRCCstage2_981.mzML
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menRCCstage2_991.mzML
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menRCCstage3_1737.mzML
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menRCCstage3_1749.mzML
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menRCCstage3_1831.mzML
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menRCCstage3_1877.mzML
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menRCCstage3_2223.mzML
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menRCCstage3_2270.mzML
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menRCCstage3_326.mzML
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menRCCstage3_605.mzML
FILES
menRCCstage3_667.mzML
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men_normal_166.mzML
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men_normal_2332.mzML
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men_normal_2357.mzML
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men_normal_2371.mzML
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men_normal_2407.mzML
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men_normal_2409.mzML
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men_normal_2422.mzML
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men_normal_2424.mzML
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men_normal_2560.mzML
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men_normal_2569.mzML
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men_normal_2627.mzML
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men_normal_2632.mzML
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men_normal_2659.mzML
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men_normal_2663.mzML
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men_normal_2665.mzML
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men_normal_2673.mzML
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men_normal_2700.mzML
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men_normal_363.mzML
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men_normal_6.mzML
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womenLCCstage1_1037.mzML
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womenLCCstage1_110.mzML
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womenLCCstage1_1313.mzML
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womenLCCstage1_1591.mzML
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womenLCCstage1_1858.mzML
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womenLCCstage1_2261.mzML
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womenLCCstage1_488.mzML
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womenLCCstage1_577.mzML
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womenLCCstage1_743.mzML
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womenLCCstage2_1026.mzML
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womenLCCstage2_1029.mzML
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womenLCCstage2_1310.mzML
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womenLCCstage2_1407.mzML
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womenLCCstage2_1427.mzML
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womenLCCstage2_146.mzML
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womenLCCstage2_1601.mzML
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womenLCCstage2_20.mzML
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womenLCCstage2_2151.mzML
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womenLCCstage2_276.mzML
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FILES
womenLCCstage2_468.mzML
FILES
womenLCCstage2_504.mzML
FILES
womenLCCstage2_574.mzML
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womenLCCstage2_581.mzML
FILES
womenLCCstage2_618.mzML
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womenLCCstage2_95.mzML
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womenLCCstage3_1097.mzML
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womenLCCstage3_1404.mzML
FILES
womenLCCstage3_1440.mzML
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womenLCCstage3_1631.mzML
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womenLCCstage3_1783.mzML
FILES
womenLCCstage3_189.mzML
FILES
womenLCCstage3_1890.mzML
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womenLCCstage3_2105.mzML
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womenLCCstage3_2291.mzML
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FILES
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womenLCCstage3_439.mzML
FILES
womenLCCstage3_515.mzML
FILES
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FILES
womenLCCstage3_734.mzML
FILES
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FILES
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womenLCCstage3_938.mzML
FILES
womenRCCstage1_1617.mzML
FILES
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FILES
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FILES
womenRCCstage1_2202.mzML
FILES
womenRCCstage1_2235.mzML
FILES
womenRCCstage1_2258.mzML
FILES
womenRCCstage1_2600.mzML
FILES
womenRCCstage1_2668.mzML
FILES
womenRCCstage1_491.mzML
FILES
womenRCCstage1_910.mzML
FILES
womenRCCstage1_941.mzML
FILES
womenRCCstage2_1014.mzML
FILES
womenRCCstage2_1190.mzML
FILES
womenRCCstage2_1196.mzML
FILES
womenRCCstage2_1304.mzML
FILES
womenRCCstage2_1514.mzML
FILES
womenRCCstage2_1665.mzML
FILES
womenRCCstage2_1683.mzML
FILES
womenRCCstage2_1728.mzML
FILES
womenRCCstage2_1733.mzML
FILES
womenRCCstage2_1846.mzML
FILES
womenRCCstage2_1937.mzML
FILES
womenRCCstage2_1987.mzML
FILES
womenRCCstage2_2066.mzML
FILES
womenRCCstage2_2479.mzML
FILES
womenRCCstage2_261.mzML
FILES
womenRCCstage2_2654.mzML
FILES
womenRCCstage2_315.mzML
FILES
womenRCCstage2_419.mzML
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FILES
womenRCCstage2_830.mzML
FILES
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FILES
womenRCCstage3_1224.mzML
FILES
womenRCCstage3_1237.mzML
FILES
womenRCCstage3_1316.mzML
FILES
womenRCCstage3_1327.mzML
FILES
womenRCCstage3_1363.mzML
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womenRCCstage3_1455.mzML
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womenRCCstage3_149.mzML
FILES
womenRCCstage3_1855.mzML
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womenRCCstage3_2208.mzML
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womenRCCstage3_2244.mzML
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womenRCCstage_1216.mzML
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women_normal_11.mzML
FILES
women_normal_2316.mzML
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women_normal_2478.mzML
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women_normal_2495.mzML
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women_normal_2550.mzML
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women_normal_264.mzML
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women_normal_2655.mzML
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women_normal_2670.mzML
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women_normal_2705.mzML
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women_normal_4.mzML
FILES
women_normal_834.mzML
FILES
women_normal_9.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 264 rows!
Added 264 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11419
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11505
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 82%|████████▏ | 1366/1662 [2:40:24<14:44,  2.99s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 82%|████████▏ | 1367/1662 [2:40:27<14:56,  3.04s/it]
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20231103_Guada_Polar_T13.raw
FILES
20231103_Guada_Polar_T14.raw
FILES
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FILES
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FILES
20231103_Guada_Polar_T6.raw
FILES
20231103_Guada_Polar_T7.raw
FILES
20231103_Guada_Polar_T8.raw
FILES
RAW_FILES
20231103_Guada_Polar_T5.raw
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Ion source
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS127
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
FILES
C2C12 1 RESV 0uM NEG.mzML
FILES
C2C12 1 RESV 0uM POS.mzML
FILES
C2C12 1 RESV 200uM NEG.mzML
FILES
C2C12 1 RESV 200uM POS.mzML
FILES
C2C12 1 RESV 20uM NEG.mzML
FILES
C2C12 1 RESV 20uM POS.mzML
FILES
C2C12 2 RESV 0uM NEG.mzML
FILES
C2C12 2 RESV 0uM POS.mzML
FILES
C2C12 2 RESV 200uM NEG.mzML
FILES
C2C12 2 RESV 200uM POS.mzML
FILES
C2C12 2 RESV 20uM NEG.mzML
FILES
C2C12 2 RESV 20uM POS.mzML
FILES
C2C12 3 RESV 0uM NEG.mzML
FILES
C2C12 3 RESV 0uM POS.mzML
FILES
C2C12 3 RESV 200uM NEG.mzML
FILES
C2C12 3 RESV 200uM POS.mzML
FILES
C2C12 3 RESV 20uM NEG.mzML
FILES
C2C12 3 RESV 20uM POS.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Cell line
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS143
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 5500: missing value
  AB SCIEX QTRAP 6500: missing value
ChromatographyAndPhase:
  : missing value
FILES
51803_R001_SPH_PL_ZP05_20120824.wiff
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_TestItemPhase1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 82%|████████▏ | 1368/1662 [2:40:32<18:00,  3.68s/it]
IGNORED:  Samples_ExposureDurationPhase1
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_TreatPhase1
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_TreatPhase2
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_TestItemPhase2
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS146
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Velos: missing value
  AB SCIEX QTRAP 5500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Assay_Run order
IGNORED:  Samples_Unit
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 82%|████████▏ | 1369/1662 [2:40:46<32:20,  6.62s/it]
 82%|████████▏ | 1370/1662 [2:40:47<24:26,  5.02s/it]
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Current chronological age
IGNORED:  filename_lower
IGNORED:  Samples_Pregnancy duration
IGNORED:  Samples_Height
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Batch number
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Weight
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 634 rows!
Added 634 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS147
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS148
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Discovery: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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100911_Blanc-4_POS.RAW/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 82%|████████▏ | 1371/1662 [2:40:55<28:16,  5.83s/it]
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Number of rows removed due to not enough metadata: 0
Returning 280 rows!
Added 280 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1822
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Sample Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1372/1662 [2:40:59<26:30,  5.49s/it]
 83%|████████▎ | 1373/1662 [2:41:00<19:51,  4.12s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1375/1662 [2:41:05<16:21,  3.42s/it]
IGNORED:  Samples_Term Accession Number.6
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Returning 30 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2040
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2075
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS208
Request successful!
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FILES
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Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2330
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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IGNORED:  Assay_Scan polarity/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1376/1662 [2:41:09<16:55,  3.55s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1377/1662 [2:41:13<18:14,  3.84s/it]
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Harvest year
Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2436
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific DSQ II: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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24hr_AdipocyteMedia_serumfree_PPARd_100nM2.RAW
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Primary_Adipocyte_Forskolin_media_blank_151119112806.RAW
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Samples_Sample type
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IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 13 rows!
Added 13 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5125
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Focus: missing value
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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 83%|████████▎ | 1379/1662 [2:41:21<16:55,  3.59s/it]
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Sampling site
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Sponge species
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 176 rows!
Added 176 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5132
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3003
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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FILES
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1380/1662 [2:41:25<16:47,  3.57s/it]
 83%|████████▎ | 1381/1662 [2:41:25<12:49,  2.74s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1382/1662 [2:41:30<14:44,  3.16s/it]
IGNORED:  Assay_Label
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3020
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3174
Request successful!
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Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3177
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
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DS_201103_Sc_QC_common_6.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 79
Returning 365 rows!
Added 365 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3194
Request successful!
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 60 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3201
Request successful!
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IGNORED:  Samples_Term Accession Number.7/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1385/1662 [2:41:58<32:15,  6.99s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1386/1662 [2:42:04<30:29,  6.63s/it]
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Column model 2
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IGNORED:  Samples_Term Accession Number.10
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IGNORED:  Assay_Sample Name
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IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 362 rows!
Added 362 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3235
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3305
Request successful!
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Q300_20210203-H26.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 83%|████████▎ | 1387/1662 [2:42:08<27:09,  5.93s/it]
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Q300_20210203-H27.mzML
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Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3306
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Post Infection
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3317
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA10POSLAT20190522_DFCI0119VW_MOUSE_PROSTATE1_05.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
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IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  base
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IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
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IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Organism part
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 192 rows!
Added 192 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3318
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
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IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Assay_Term Accession Number.10
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
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IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3320
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Source REF.6
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.11
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IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 252 rows!
Added 252 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3322
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Tracer
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1392/1662 [2:42:49<41:04,  9.13s/it]
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Sampling time
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 676 rows!
Added 676 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3323
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Is Fluid
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IGNORED:  Samples_Term Accession Number.14
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IGNORED:  Samples_Term Accession Number.16
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1393/1662 [2:43:01<44:57, 10.03s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1394/1662 [2:43:05<35:58,  8.05s/it]
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Collection bag
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Viral infection
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Term Source REF.15
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IGNORED:  Samples_Term Accession Number.15
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IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 373 rows!
Added 373 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3341
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
NEG
10Neg.mzML
FILES
DERIVED_FILES
NEG
11Neg.mzML
FILES
DERIVED_FILES
NEG
12Neg.mzML
FILES
DERIVED_FILES
NEG
13Neg.mzML
FILES
DERIVED_FILES
NEG
14Neg.mzML
FILES
DERIVED_FILES
NEG
15Neg.mzML
FILES
DERIVED_FILES
NEG
16Neg.mzML
FILES
DERIVED_FILES
NEG
17Neg.mzML
FILES
DERIVED_FILES
NEG
18Neg.mzML
FILES
DERIVED_FILES
NEG
19Neg.mzML
FILES
DERIVED_FILES
NEG
1Neg.mzML
FILES
DERIVED_FILES
NEG
2Neg.mzML
FILES
DERIVED_FILES
NEG
3Neg.mzML
FILES
DERIVED_FILES
NEG
4Neg.mzML
FILES
DERIVED_FILES
NEG
5Neg.mzML
FILES
DERIVED_FILES
NEG
6Neg.mzML
FILES
DERIVED_FILES
NEG
7Neg.mzML
FILES
DERIVED_FILES
NEG
8Neg.mzML
FILES
DERIVED_FILES
NEG
9Neg.mzML
FILES
DERIVED_FILES
POS
10Pos.mzML
FILES
DERIVED_FILES
POS
11Pos.mzML
FILES
DERIVED_FILES
POS
12Pos.mzML
FILES
DERIVED_FILES
POS
13Pos.mzML
FILES
DERIVED_FILES
POS
14Pos.mzML
FILES
DERIVED_FILES
POS
15Pos.mzML
FILES
DERIVED_FILES
POS
16Pos.mzML
FILES
DERIVED_FILES
POS
17Pos.mzML
FILES
DERIVED_FILES
POS
18Pos.mzML
FILES
DERIVED_FILES
POS
19Pos.mzML
FILES
DERIVED_FILES
POS
1Pos.mzML
FILES
DERIVED_FILES
POS
2Pos.mzML
FILES
DERIVED_FILES
POS
3Pos.mzML
FILES
DERIVED_FILES
POS
4Pos.mzML
FILES
DERIVED_FILES
POS
5Pos.mzML
FILES
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POS
6Pos.mzML
FILES
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POS
7Pos.mzML
FILES
DERIVED_FILES
POS
8Pos.mzML
FILES
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9Pos.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Frail Scale
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3342
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
Additional Sample MZML
Method 1
QXA10POSEAR20210513_CNRS0121VS_HUMAN_XENOGRAFT1_03.mzML
FILES
Additional Sample MZML
Method 1
QXA10POSEAR20210513_CNRS0121VS_HUMAN_XENOGRAFT1_12.mzML
FILES
Additional Sample MZML
Method 2
QXA10POSLAT20210513_CNRS0121VS_HUMAN_XENOGRAFT1_03.mzML
FILES
Additional Sample MZML
Method 2
QXA10POSLAT20210513_CNRS0121VS_HUMAN_XENOGRAFT1_12.mzML
FILES
Additional Sample MZML
Method 3
QXA09NEG20210521_CNRS0121VS_HUMAN_XENOGRAFT1_03.mzML
FILES
Additional Sample MZML
Method 3
QXA09NEG20210521_CNRS0121VS_HUMAN_XENOGRAFT1_12.mzML
FILES
Additional Sample MZML
Method 4
QXA08POL20210513_CNRS0121VS_HUMAN_XENOGRAFT1_03.mzML
FILES
Additional Sample MZML
Method 4
QXA08POL20210513_CNRS0121VS_HUMAN_XENOGRAFT1_12.mzML
FILES
CTRL_IACS
Method 1
QXA10POSEAR20210513_CNRS0121VS_HUMAN_XENOGRAFT1_05.mzML
FILES
CTRL_IACS
Method 1
QXA10POSEAR20210513_CNRS0121VS_HUMAN_XENOGRAFT1_06.mzML
FILES
CTRL_IACS
Method 1
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FILES
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Method 1
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Method 1
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Method 2
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Method 2
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Method 2
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 4
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Method 1
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Method 1
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Method 1
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Method 1
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Method 1
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Method 2
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 3
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Method 4
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IGNORED:  Assay_Spectrum representation
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IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Publication Sample ID/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1395/1662 [2:43:11<33:04,  7.43s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1396/1662 [2:43:14<27:01,  6.10s/it]
 84%|████████▍ | 1397/1662 [2:43:15<20:17,  4.59s/it]
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Samples_Treatment
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
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IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3358
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (alternating): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
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IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Guard column
IGNORED:  Samples_genotype
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_replicate
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3444
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3512
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1398/1662 [2:43:19<19:16,  4.38s/it]
FILES
mtab_BIOS_CRAM1620_1_072617_34.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_34.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_35.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_35.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_36.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_36.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_37.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_37.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_38.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_38.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_40.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_40.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_41.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_41.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_42.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_42.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_43.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_43.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_44.mzML
FILES
mtab_BIOS_CRAM1620_1_072617_44.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Time
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 10 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3518
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
21P09370001_OCTML_NEG.raw
FILES
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21P09370002_OCTML_NEG.raw
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QC_OCTML_NEG_13.raw
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QC_OCTML_NEG_14.raw
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QC_OCTML_NEG_15.raw
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QC_OCTML_NEG_MSMS1.raw
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QC_OCTML_NEG_MSMS3.raw
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QC_OCTML_NEG_MSMS4.raw
FILES
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QC_OCTML_NEG_MSMS5.raw
FILES
RAW_FILES
POS
21P09370001_OCTML_POS.raw
FILES
RAW_FILES
POS
21P09370002_OCTML_POS.raw
FILES
RAW_FILES
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21P09370003_OCTML_POS.raw
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21P09370004_OCTML_POS.raw
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21P09370005_OCTML_POS.raw
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21P09370006_OCTML_POS.raw
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21P09370007_OCTML_POS.raw
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21P09370008_OCTML_POS.raw
FILES
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21P09370009_OCTML_POS.raw
FILES
RAW_FILES
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21P09370010_OCTML_POS.raw
FILES
RAW_FILES
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21P09370011_OCTML_POS.raw
FILES
RAW_FILES
POS
21P09370012_OCTML_POS.raw
FILES
RAW_FILES
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21P09370013_OCTML_POS.raw
FILES
RAW_FILES
POS
21P09370014_OCTML_POS.raw
FILES
RAW_FILES
POS
21P09370015_OCTML_POS.raw
FILES
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POS
21P09370016_OCTML_POS.raw
FILES
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21P09370017_OCTML_POS.raw
FILES
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21P09370018_OCTML_POS.raw
FILES
RAW_FILES
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21P09370019_OCTML_POS.raw
FILES
RAW_FILES
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21P09370020_OCTML_POS.raw
FILES
RAW_FILES
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QC_OCTML_POS_06.raw
FILES
RAW_FILES
POS
QC_OCTML_POS_07.raw
FILES
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QC_OCTML_POS_08.raw
FILES
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QC_OCTML_POS_09.raw
FILES
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QC_OCTML_POS_10.raw
FILES
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QC_OCTML_POS_11.raw
FILES
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QC_OCTML_POS_12.raw
FILES
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QC_OCTML_POS_13.raw
FILES
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QC_OCTML_POS_14.raw
FILES
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POS
QC_OCTML_POS_15.raw
FILES
RAW_FILES
POS
QC_OCTML_POS_MSMS1.raw
FILES
RAW_FILES
POS
QC_OCTML_POS_MSMS2.raw
FILES
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POS
QC_OCTML_POS_MSMS3.raw
FILES
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QC_OCTML_POS_MSMS4.raw
FILES
RAW_FILES
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QC_OCTML_POS_MSMS5.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Technical Replicate
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1399/1662 [2:43:23<18:30,  4.22s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1400/1662 [2:43:26<16:55,  3.88s/it]
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 70 rows!
Added 70 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3555
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo TQ-XS: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
BV IX alpha QM - Lizzy SS-06-17-2021.raw
FILES
BVIX beta C1 P2 SS-04-30-2021.raw
FILES
BVIX delta C1 P1 SS-04-30-2021.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Isomer
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 3 rows!
Added 3 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3581
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Agilent 6550 iFunnel Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_BLD_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_BLD_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_CEC_7_7wk.d
FILES
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20210211_6_7wk_Invivo
NEG
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FILES
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NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_FEC_7_7wk.d
FILES
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NEG
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FILES
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NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_LVR_7_7wk.d
FILES
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NEG
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FILES
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NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_UR_7A_7wk.d
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20210211_6_7wk_Invivo
NEG
6550_MSMS_10_Neg_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
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20210211_6_7wk_Invivo
NEG
6550_MSMS_10_Neg_BCPN_10uM.d
FILES
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20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_BLD_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_BLD_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_CEC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_CEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_FEC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_FEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_LVR_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_LVR_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_UR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_20_Neg_BCPN_10uM.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_BLD_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_BLD_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_CEC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_CEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_FEC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_FEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_LVR_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_LVR_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_UR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_MSMS_40_Neg_BCPN_10uM.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_10.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_10A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_10A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_10_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_6.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_6A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_6A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_6_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_7A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_7A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_8.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_8_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_9.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_9A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_9A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_BLD_9_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_CEC_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_10A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_10A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_10_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_10_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_6A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_6A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_6_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_6_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_7A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_7A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_7_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_7_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_8A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_8A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_8A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_8_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_8_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_9A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_9A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_9_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_9_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_FEC_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_KID_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LI_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_LVR_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_PL_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_REC_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_10A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_10_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_6A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_6_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_7A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_8_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_9A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI1_9_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI2_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_SI3_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_10A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_10_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_6A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_6_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_7A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_8_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_9A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_STC_9_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_10A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_10A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_10_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_10_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_6A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_6A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_6_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_6_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_7A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_7A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_7_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_7_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_8A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_8A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_8A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_8_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_8_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_9A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_9A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_9_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_9_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshell120HPHC18_UR_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.01953125uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.01953125uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.0390625uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.0390625uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.078125uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.078125uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.15625uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.15625uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.3125uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.3125uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.625uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_0.625uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_1.25uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_1.25uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_10uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_10uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_2.5uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_2.5uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_5uM_BCPN_0213.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
NEG
6550_Neg_10cmPoroshellHPHC18_5uM_BCPN_0214.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_10_Pos_10cmPoroshell120HPHC18_UR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_10_Pos_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_10_Pos_BBN_10uM.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_20_Pos_10cmPoroshell120HPHC18_UR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_20_Pos_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_20_Pos_BBN_10uM.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_20_Pos_BBN_1uM.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_40_Pos_10cmPoroshell120HPHC18_UR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_40_Pos_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_MSMS_40_Pos_BBN_10uM.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_10.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_10A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_10A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_10_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_6.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_6A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_6A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_6_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_7A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_7A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_8.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_8_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_9.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_9A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_9A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_BLD_9_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_CEC_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_8A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_8A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_8_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_8_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_FEC_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_KID_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LI_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_LVR_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_PL_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_REC_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_10.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_10A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_10A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_10_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_6.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_6A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_6A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_6_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_7A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_7A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_8.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_8_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_9.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_9A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_9A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI1_9_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI2_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_SI3_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_10.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_10A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_10A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_10_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_6.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_6A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_6A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_6_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_7.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_7A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_7A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_7_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_8.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_8_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_9.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_9A.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_9A_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_STC_9_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_10_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_6_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_7_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_8A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_8A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_8_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_8_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_8_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_8_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9A_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9A_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9A_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9A_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9_6wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9_6wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9_7wk.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshell120HPHC18_UR_9_7wk_degluc.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.01953125uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.01953125uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.01953125uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.0390625uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.0390625uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.0390625uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.078125uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.078125uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.078125uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.15625uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.15625uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.15625uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.3125uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.3125uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.3125uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.625uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.625uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_0.625uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_1.25uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_1.25uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_1.25uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_10uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_10uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_10uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_2.5uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_2.5uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_2.5uM_BBN_20210212.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_5uM_BBN.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_5uM_BBN_0215.d
FILES
RAW_FILES
20210211_6_7wk_Invivo
POS
6550_Pos_10cmPoroshellHPHC18_5uM_BBN_20210212.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R2_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R2_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R3_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R3_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R4_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R4_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R5_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R5_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R6_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R6_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R1_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R1_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R2_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R2_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R3_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R3_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R4_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R4_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R5_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R5_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R6_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R6_CEC2.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_wash01.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_wash02.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_wash03.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_10cmPoroshell120HPHC18_wash04.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R1_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R2_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R2_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R3_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R3_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R4_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R4_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R5_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R5_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R6_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_Eflex_R6_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R1_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R1_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R2_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R2_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R3_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R3_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R4_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R4_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R5_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R5_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R6_BLD.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_BBN_2wk_GF_R6_PL.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_Nitrosamines_1uM_165V.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_wash02.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_wash03.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6546_Neg_5cmZorbaxEclipseC18_wash04.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC2_12.5X_Degluc.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R2_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R2_CEC2_12.5X_Degluc.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R3_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R3_CEC2_12.5X_Degluc.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R4_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R4_CEC2_12.5X_Degluc.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R5_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R5_CEC2_12.5X_Degluc.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R6_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R6_CEC2_12.5X_Degluc.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R1_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_BBN_2wk_GF_R2_CEC2_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_wash01_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550MSMS_Neg_10cmPoroshell120HPHC18_wash02_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_0uM.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_1000nM.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_1000nM_end.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_125nM.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_125nM_end.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_250nM.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_250nM_end.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_500nM.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN&BCPN_500nM_end.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC1.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC1_10X.d
FILES
RAW_FILES
20220614_Eflex_GF_2wk
NEG
6550_Neg_10cmPoroshell120HPHC18_BBN_2wk_Eflex_R1_CEC1_15X_Degluc.d
FILES
RAW_FILES
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R5_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R6_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R6_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R6_REC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R6_REC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R6_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R6_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R7_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R7_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R7_REC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R7_REC_4XBeforeDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_BA_Batch2R7_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R1_CEC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R1_CEC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R1_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R1_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R2_REC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R2_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R2_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_CEC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_CEC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_COL_4XBeforeDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_REC_4XBeforeDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R3_SI3_10X.d
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_CEC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_CEC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_REC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R4_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_CEC_4XAfterDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_CEC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_COL_4XAfterDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_REC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R5_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_CEC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_CEC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_REC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch1R6_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_CEC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_CEC_4XBeforeDG.d
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_REC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_REC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R1_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_CEC_4XAfterDG.d
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_CEC_4XBeforeDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R2_SI3_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_CEC_4XAfterDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_CEC_4XBeforeDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_COL_4XAfterDG.d
FILES
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3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R3_COL_4XBeforeDG.d
FILES
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3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R3_REC_4XAfterDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_REC_4XBeforeDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_SI2_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R3_SI3_10X.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_CEC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_CEC_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_REC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_REC_4XBeforeDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_SI1_10X.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_SI2_10X.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R4_SI3_10X.d
FILES
RAW_FILES
3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_CEC_4XAfterDG.d
FILES
RAW_FILES
3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_CEC_4XBeforeDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_COL_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_COL_4XBeforeDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_REC_4XAfterDG.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_REC_4XBeforeDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_SI1_10X.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R5_SI2_10X.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R5_SI3_10X.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R6_CEC_4XAfterDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R6_CEC_4XBeforeDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R6_COL_4XAfterDG.d
FILES
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3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R6_COL_4XBeforeDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R6_REC_4XAfterDG.d
FILES
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3wk
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6550_Pos_10cmHPHC18_3wk_B_Batch2R6_REC_4XBeforeDG.d
FILES
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6550_Pos_10cmHPHC18_3wk_B_Batch2R6_SI1_10X.d
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6550_Pos_10cmHPHC18_3wk_B_Batch2R6_SI2_10X.d
FILES
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FILES
RAW_FILES
3wk
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FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_CEC_4XBeforeDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_COL_4XAfterDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_COL_4XBeforeDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_REC_4XAfterDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_REC_4XBeforeDG.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_SI1_10X.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_SI2_10X.d
FILES
RAW_FILES
3wk
POS
6550_Pos_10cmHPHC18_3wk_B_Batch2R7_SI3_10X.d
FILES
RAW_FILES
OtherNitrosamines
NEG
6550_Neg_10cmPoroshell120HPHC18_DBNA_R1_FEC_10X.d
FILES
RAW_FILES
OtherNitrosamines
NEG
6550_Neg_10cmPoroshell120HPHC18_DBNA_R1_UR_10X.d
FILES
RAW_FILES
OtherNitrosamines
NEG
6550_Neg_10cmPoroshell120HPHC18_DBNA_R2_FEC_10X.d
FILES
RAW_FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1401/1662 [2:44:16<1:17:25, 17.80s/it]
 84%|████████▍ | 1402/1662 [2:44:17<55:26, 12.79s/it]  
 84%|████████▍ | 1403/1662 [2:44:18<39:45,  9.21s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 84%|████████▍ | 1404/1662 [2:44:21<32:08,  7.47s/it]
IGNORED:  Samples_Id
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Bbn treatment length
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Abx treatment
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 78
Returning 2879 rows!
Added 2879 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3595
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3657
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3676
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker impact II UHR-QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3830
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
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qiita_sample_name: ADDED!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 172 rows!
Added 172 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3852
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
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ENVOEnvironmentMaterial:
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FILES
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 110 rows!
Added 110 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3854
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3873
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3893
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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LCMS_273+Decane10_Nov12_neg.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 66 rows!
Added 66 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3916
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 20 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3927
 85%|████████▍ | 1411/1662 [2:44:43<13:01,  3.11s/it]
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3947
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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Stnd8_10uM.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 85%|████████▍ | 1412/1662 [2:44:51<18:05,  4.34s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 85%|████████▌ | 1413/1662 [2:44:54<16:26,  3.96s/it]
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Term Accession Number.8
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IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_13C source
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 20
Returning 154 rows!
Added 154 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3950
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6545 Q-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3963
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Dec-Phe-4_POS.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
DERIVED_FILES
POS
QC-6_POS.mzML
FILES
DERIVED_FILES
POS
QC-7_POS.mzML
FILES
DERIVED_FILES
POS
QC-8_POS.mzML
FILES
DERIVED_FILES
POS
QC-9_POS.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 272 rows!
Added 272 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4040
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600+: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
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DIA10.raw
FILES
RAW_FILES
Neg
DIA12.raw
FILES
RAW_FILES
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DIA16.raw
FILES
RAW_FILES
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DIA19.raw
FILES
RAW_FILES
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DIA27.raw
FILES
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DIA3.raw
FILES
RAW_FILES
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DIA31.raw
FILES
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DIA46.raw
FILES
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DIA47.raw
FILES
RAW_FILES
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DIA54.raw
FILES
RAW_FILES
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DIA56.raw
FILES
RAW_FILES
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Neg
NOR23.raw
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Neg
NOR24.raw
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NOR32.raw
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Neg
NOR34.raw
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RAW_FILES
Neg
NOR36.raw
FILES
RAW_FILES
Neg
NOR37.raw
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NOR39.raw
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Neg
NOR45.raw
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RAW_FILES
Neg
NOR5.raw
FILES
RAW_FILES
Neg
NOR55.raw
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RAW_FILES
Neg
NOR58.raw
FILES
RAW_FILES
Neg
NOR9.raw
FILES
RAW_FILES
Neg
QC1.raw
FILES
RAW_FILES
Neg
QC2.raw
FILES
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Neg
QC3.raw
FILES
RAW_FILES
Neg
QC4.raw
FILES
RAW_FILES
Neg
QC5.raw
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RAW_FILES
Neg
QC6.raw
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RAW_FILES
Neg
QC7.raw
FILES
RAW_FILES
Pos
DIA10.raw
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RAW_FILES
Pos
DIA12.raw
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RAW_FILES
Pos
DIA16.raw
FILES
RAW_FILES
Pos
DIA19.raw
FILES
RAW_FILES
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DIA27.raw
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DIA3.raw
FILES
RAW_FILES
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DIA31.raw
FILES
RAW_FILES
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DIA46.raw
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RAW_FILES
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DIA47.raw
FILES
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Pos
DIA54.raw
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RAW_FILES
Pos
DIA56.raw
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RAW_FILES
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RAW_FILES
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NOR23.raw
FILES
RAW_FILES
Pos
NOR24.raw
FILES
RAW_FILES
Pos
NOR32.raw
FILES
RAW_FILES
Pos
NOR34.raw
FILES
RAW_FILES
Pos
NOR36.raw
FILES
RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 85%|████████▌ | 1415/1662 [2:45:04<18:34,  4.51s/it]
Pos
NOR37.raw
FILES
RAW_FILES
Pos
NOR39.raw
FILES
RAW_FILES
Pos
NOR45.raw
FILES
RAW_FILES
Pos
NOR5.raw
FILES
RAW_FILES
Pos
NOR55.raw
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RAW_FILES
Pos
NOR58.raw
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RAW_FILES
Pos
NOR9.raw
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RAW_FILES
Pos
QC1.raw
FILES
RAW_FILES
Pos
QC2.raw
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RAW_FILES
Pos
QC3.raw
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RAW_FILES
Pos
QC4.raw
FILES
RAW_FILES
Pos
QC5.raw
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RAW_FILES
Pos
QC6.raw
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RAW_FILES
Pos
QC7.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
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IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Source REF
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IGNORED:  extension
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.4
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Number of rows removed due to not enough metadata: 0
Returning 62 rows!
Added 62 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4046
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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AMADR1_4_0004_neg.mzXML
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FILES
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NEG
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FILES
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pooled_15_neg.mzXML
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NEG
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FILES
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NEG
pooled_9_neg.mzXML
FILES
DERIVED_FILES
POS
AMADR1_4_0004_pos.mzXML
FILES
DERIVED_FILES
POS
AMADR2_4_0010_pos.mzXML
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DERIVED_FILES
POS
AMADR3_4_0016_pos.mzXML
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POS
AMADR4_4_0022_pos.mzXML
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AMAER1_5_0005_pos.mzXML
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AMAFR1_6_0006_pos.mzXML
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AMAFR2_6_0012_pos.mzXML
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AMAFR3_6_0018_pos.mzXML
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AMAFR4_6_0024_pos.mzXML
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POS
PROAR1_1_0001_pos.mzXML
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POS
PROAR3_1_0013_pos.mzXML
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FILES
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FILES
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POS
PROCR1_3_0003_pos.mzXML
FILES
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POS
PROCR2_3_0009_pos.mzXML
FILES
DERIVED_FILES
POS
PROCR3_3_0015_pos.mzXML
FILES
DERIVED_FILES
POS
PROCR4_3_0021_pos.mzXML
FILES
DERIVED_FILES
POS
matrix_blank_1_pos.mzXML
FILES
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POS
matrix_blank_2_pos.mzXML
FILES
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POS
matrix_blank_3_pos.mzXML
FILES
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POS
matrix_blank_4_pos.mzXML
FILES
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POS
matrix_blank_5_pos.mzXML
FILES
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POS
matrix_blank_6_pos.mzXML
FILES
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POS
pooled_10_pos.mzXML
FILES
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pooled_11_pos.mzXML
FILES
DERIVED_FILES
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DERIVED_FILES
POS
pooled_14_pos.mzXML
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POS
pooled_15_pos.mzXML
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DERIVED_FILES
POS
pooled_7_pos.mzXML
FILES
DERIVED_FILES
POS
pooled_8_pos.mzXML
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pooled_9_pos.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Stage
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 85%|████████▌ | 1416/1662 [2:45:11<20:38,  5.04s/it]
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Biological Replicate
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 78 rows!
Added 78 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4063
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
BLANK-PRH-RAT-medium-POS.raw
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RAW_FILES
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FILES
RAW_FILES
BLANK01-HepaRG-dose-reponse-cells-POS.raw
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RAW_FILES
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RAW_FILES
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RAW_FILES
BLANK02-PRH-RAT-cells-NEG.raw
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RAW_FILES
BLANK02-PRH-RAT-cells-POS.raw
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RAW_FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Experiment type
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Metabolites location
IGNORED:  Samples_TEBU dose
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 241 rows!
Added 241 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4065
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4066
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  LECO Pegasus III: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Returning 105 rows!
Added 105 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4082
Request successful!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4108
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4126
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SampleCollectionMethod: ADDED!
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A21A_NEG.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 76 rows!
Added 76 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4186
Request successful!
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IGNORED:  Assay_MS Assay Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 86%|████████▌ | 1424/1662 [2:45:41<13:16,  3.35s/it]
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Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4187
Request successful!
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Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
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Number of rows removed due to not enough metadata: 0
Returning 300 rows!
Added 300 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4202
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4231
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 86%|████████▌ | 1427/1662 [2:45:53<13:57,  3.56s/it]
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MassSpectrometer:
  Thermo Scientific Orbitrap Fusion Lumos Tribrid: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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HCL3-negtive.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 86%|████████▌ | 1431/1662 [2:46:11<20:37,  5.36s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 561 rows!
Added 561 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4392
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4437
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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MassSpectrometer:
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QC_pool_ID_ie1.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 86%|████████▌ | 1433/1662 [2:46:19<18:43,  4.91s/it]
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Samples_Individual
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Bone element structure
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Bone element
IGNORED:  Assay_Sample
IGNORED:  Samples_Dental modification
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 57 rows!
Added 57 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4461
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  exactive orbitrap: missing value
IonizationSourceAndPolarity:
  electrospray ionization (negative) (positive): missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
  nan: missing value
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20131220__AK__072__54__E57.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 86%|████████▋ | 1434/1662 [2:48:13<2:22:40, 37.55s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 86%|████████▋ | 1435/1662 [2:48:16<1:43:12, 27.28s/it]
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Diabetes
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Extraction method
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 317
Returning 6526 rows!
Added 6526 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4463
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
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RAW_FILES
HF3_CP1_FZTM200037413-1A.raw
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RAW_FILES
HF3_CP1_FZTM200037414-1A.raw
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HF3_CP2_FZTM200037420-1A.raw
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HF3_CP2_FZTM200037421-1A.raw
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4495
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 86%|████████▋ | 1436/1662 [2:48:20<1:15:44, 20.11s/it]
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4507
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  Thermo Scientific Q Exactive HF-X: missing value
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nC_L39.mzXML
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pA_L26.mzXML
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pA_L31.mzXML
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pA_L32.mzXML
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pA_L33.mzXML
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pA_L34.mzXML
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pB_L16.mzXML
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pB_L18.mzXML
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pB_L35.mzXML
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pB_L36.mzXML
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POS
pB_L37.mzXML
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pB_L38.mzXML
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pC_L19.mzXML
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pC_L20.mzXML
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POS
pC_L21.mzXML
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DERIVED_FILES
POS
pC_L22.mzXML
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DERIVED_FILES
POS
pC_L23.mzXML
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POS
pC_L24.mzXML
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DERIVED_FILES
POS
pC_L39.mzXML
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DERIVED_FILES
POS
pC_L40.mzXML
FILES
DERIVED_FILES
POS
pC_L41.mzXML
FILES
DERIVED_FILES
POS
pC_L42.mzXML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  row_id
IGNORED:  Is Multicellular
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IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
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IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 86%|████████▋ | 1437/1662 [2:48:25<58:24, 15.58s/it]  /app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1438/1662 [2:48:29<45:24, 12.16s/it]
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4542
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Zymoseptoria trici inoculation
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Rhamnolipid treatment
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 90 rows!
Added 90 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4556
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NIG1A_Urine.mzML
FILES
DERIVED_FILES
NIG1B_Urine.mzML
FILES
DERIVED_FILES
NIG1C_Urine.mzML
FILES
DERIVED_FILES
NIG1D_Urine.mzML
FILES
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NIG1E_Urine.mzML
FILES
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NIG1F_Urine.mzML
FILES
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NIG1G_Urine.mzML
FILES
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NIG1H_Urine.mzML
FILES
DERIVED_FILES
NIG1I_Urine.mzML
FILES
DERIVED_FILES
NIG1J_Urine.mzML
FILES
DERIVED_FILES
NIG1L_Urine.mzML
FILES
DERIVED_FILES
NIG1P_Urine.mzML
FILES
DERIVED_FILES
NIG1Q_Urine.mzML
FILES
DERIVED_FILES
NIG1R_Urine.mzML
FILES
DERIVED_FILES
NIG1S_Urine.mzML
FILES
DERIVED_FILES
NIG1T_Urine.mzML
FILES
DERIVED_FILES
NIG1U_Urine.mzML
FILES
DERIVED_FILES
NIG1V_Urine.mzML
FILES
DERIVED_FILES
NIG1W_Urine.mzML
FILES
DERIVED_FILES
NIG1X_Urine.mzML
FILES
DERIVED_FILES
NIG1Y_Urine.mzML
FILES
DERIVED_FILES
NIG1Z_Urine.mzML
FILES
DERIVED_FILES
NIG2A_Urine.mzML
FILES
DERIVED_FILES
NIG2B_Urine.mzML
FILES
DERIVED_FILES
NIG2C_Urine.mzML
FILES
DERIVED_FILES
NIG2D_Urine.mzML
FILES
DERIVED_FILES
NIG2E_Urine.mzML
FILES
DERIVED_FILES
NIG2F_Urine.mzML
FILES
DERIVED_FILES
NIG2G_Urine.mzML
FILES
DERIVED_FILES
NIG2H_Urine.mzML
FILES
DERIVED_FILES
NIG2I_Urine.mzML
FILES
DERIVED_FILES
NIG2J_Urine.mzML
FILES
DERIVED_FILES
NIG2L_Urine.mzML
FILES
DERIVED_FILES
NIG2P_Urine.mzML
FILES
DERIVED_FILES
NIG2Q_Urine.mzML
FILES
DERIVED_FILES
NIG2R_Urine.mzML
FILES
DERIVED_FILES
NIG2S_Urine.mzML
FILES
DERIVED_FILES
NIG2T_Urine.mzML
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1439/1662 [2:48:34<36:42,  9.88s/it]
DERIVED_FILES
NIG2V_Urine.mzML
FILES
DERIVED_FILES
NIG3A_Urine.mzML
FILES
DERIVED_FILES
NIG3B_Urine.mzML
FILES
DERIVED_FILES
NIG3C_Urine.mzML
FILES
DERIVED_FILES
NIG3E_Urine.mzML
FILES
DERIVED_FILES
NIG3F_Urine.mzML
FILES
DERIVED_FILES
NIG3G_Urine.mzML
FILES
DERIVED_FILES
NIG3H_Urine.mzML
FILES
DERIVED_FILES
NIG3I_Urine.mzML
FILES
DERIVED_FILES
NIG3J_Urine.mzML
FILES
DERIVED_FILES
NIG3L_Urine.mzML
FILES
DERIVED_FILES
NIG3N_Urine.mzML
FILES
DERIVED_FILES
NIG3P_Urine.mzML
FILES
DERIVED_FILES
NIG3Q_Urine.mzML
FILES
DERIVED_FILES
NIG3R_Urine.mzML
FILES
DERIVED_FILES
NIG3S_Urine.mzML
FILES
DERIVED_FILES
NIG3T_Urine.mzML
FILES
DERIVED_FILES
NIG3U_Urine.mzML
FILES
DERIVED_FILES
NIG3V_Urine.mzML
FILES
DERIVED_FILES
NIG3Z_Urine.mzML
FILES
DERIVED_FILES
NIG4A_Urine.mzML
FILES
DERIVED_FILES
NIG4B_Urine.mzML
FILES
DERIVED_FILES
NIG4D_Urine.mzML
FILES
DERIVED_FILES
NIG4E_Urine.mzML
FILES
DERIVED_FILES
NIG4F_Urine.mzML
FILES
DERIVED_FILES
NIG4G_Urine.mzML
FILES
DERIVED_FILES
NIG4I_Urine.mzML
FILES
DERIVED_FILES
NIG4J_Urine.mzML
FILES
DERIVED_FILES
NIG4P_Urine.mzML
FILES
DERIVED_FILES
NIG4Q_Urine.mzML
FILES
DERIVED_FILES
NIG4R_Urine.mzML
FILES
DERIVED_FILES
NIG4S_Urine.mzML
FILES
DERIVED_FILES
NIG4T_Urine.mzML
FILES
DERIVED_FILES
NIG4U_Urine.mzML
FILES
DERIVED_FILES
NIG4V_Urine.mzML
FILES
DERIVED_FILES
PoPhe_Urine_12hU65M1.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU45M1.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU45M2.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU45W1.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU45W2.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU55M1.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU55M2.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU55W1.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU55W2.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU65M2.mzML
FILES
DERIVED_FILES
PoPhe_Urine_24hU65W1.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_Column model 2
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Column model 1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column type 2
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Column type 1
Number of rows removed due to not enough metadata: 0
Returning 84 rows!
Added 84 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4564
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters SYNAPT G2 HDMS System: missing value
IonizationSourceAndPolarity:
  electrospray ionization: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
47259_1.raw
FILES
47259_1_HILIC.raw
FILES
47259_2.raw
FILES
47259_2_HILIC.raw
FILES
47259_3.raw
FILES
47259_3_HILIC.raw
FILES
47571_1.raw
FILES
47571_1_HILIC.raw
FILES
47571_2.raw
FILES
47571_2_HILIC.raw
FILES
47571_3.raw
FILES
47571_3_HILIC.raw
FILES
47577_1.raw
FILES
47577_1_HILIC.raw
FILES
47577_2.raw
FILES
47577_2_HILIC.raw
FILES
47577_3.raw
FILES
47577_3_HILIC.raw
FILES
47579_1.raw
FILES
47579_1_HILIC.raw
FILES
47579_2.raw
FILES
47579_2_HILIC.raw
FILES
47579_3.raw
FILES
47579_3_HILIC.raw
FILES
48266_1.raw
FILES
48266_1_HILIC.raw
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48266_2.raw
FILES
48266_2_HILIC.raw
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48266_3.raw
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48266_3_HILIC.raw
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48284_1.raw
FILES
48284_1_HILIC.raw
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48284_2.raw
FILES
48284_2_HILIC.raw
FILES
48284_3.raw
FILES
48284_3_HILIC.raw
FILES
48347_1.raw
FILES
48347_1_HILIC.raw
FILES
48347_2.raw
FILES
48347_2_HILIC.raw
FILES
48347_3.raw
FILES
48347_3_HILIC.raw
FILES
48420_1.raw
FILES
48420_1_HILIC.raw
FILES
48420_2.raw
FILES
48420_2_HILIC.raw
FILES
48420_3.raw
FILES
48420_3_HILIC.raw
FILES
Blk_Tobacco_0.raw
FILES
Blk_Tobacco_01.raw
FILES
Blk_Tobacco_02.raw
FILES
Blk_Tobacco_03.raw
FILES
Blk_Tobacco_1.raw
FILES
Blk_Tobacco_1_HILIC.raw
FILES
Blk_Tobacco_2.raw
FILES
Blk_Tobacco_2_HILIC.raw
FILES
Blk_Tobacco_3.raw
FILES
Blk_Tobacco_3_HILIC.raw
FILES
Blk_Tobacco_4.raw
FILES
Blk_Tobacco_4_HILIC.raw
FILES
Blk_Tobacco_5.raw
FILES
Blk_Tobacco_5_HILIC.raw
FILES
Blk_Tobacco_6.raw
FILES
Blk_Tobacco_7.raw
FILES
Blk_ext_Tobacco_1.raw
FILES
Blk_ext_Tobacco_1_HILIC.raw
FILES
Blk_ext_Tobacco_2.raw
FILES
Blk_ext_Tobacco_2_HILIC.raw
FILES
Blk_ext_Tobacco_3.raw
FILES
Blk_ext_Tobacco_3_HILIC.raw
FILES
Blk_ext_Tobacco_4.raw
FILES
Blk_ext_Tobacco_4_HILIC.raw
FILES
C1_Binder_1.raw
FILES
C1_Binder_1_HILIC.raw
FILES
C1_Filler_1.raw
FILES
C1_Filler_1_HILIC.raw
FILES
C1_Wrapper_1.raw
FILES
C1_Wrapper_1_HILIC.raw
FILES
C2_Binder_1.raw
FILES
C2_Binder_1_HILIC.raw
FILES
C2_Filler_1.raw
FILES
C2_Filler_1_HILIC.raw
FILES
C2_wrapper_1.raw
FILES
C2_wrapper_1_HILIC.raw
FILES
C3_Binder_1.raw
FILES
C3_Binder_1_HILIC.raw
FILES
C3_Filller_1.raw
FILES
C3_Filller_1_HILIC.raw
FILES
C3_wrapper_1.raw
FILES
C3_wrapper_1_HILIC.raw
FILES
C4_Binder_1.raw
FILES
C4_Binder_1_HILIC.raw
FILES
C4_Filler_1.raw
FILES
C4_Filler_1_HILIC.raw
FILES
C4_Wrapper_1.raw
FILES
C4_Wrapper_1_HILIC.raw
FILES
IQC_1.raw
FILES
IQC_1_HILIC.raw
FILES
IQC_2.raw
FILES
IQC_2_HILIC.raw
FILES
IQC_3.raw
FILES
IQC_3_HILIC.raw
FILES
IQC_4.raw
FILES
QC_Tobacco_1.raw
FILES
QC_Tobacco_1_HILIC.raw
FILES
QC_Tobacco_2.raw
FILES
QC_Tobacco_2_HILIC.raw
FILES
QC_Tobacco_3.raw
FILES
QC_Tobacco_3_HILIC.raw
FILES
QC_Tobacco_4.raw
FILES
QC_Tobacco_4_HILIC.raw
FILES
QC_Tobacco_5.raw
FILES
QC_Tobacco_5_HILIC.raw
FILES
QC_Tobacco_6.raw
FILES
QC_Tobacco_6_HILIC.raw
FILES
QC_Tobacco_7.raw
FILES
QC_Tobacco_7_HILIC.raw
FILES
QC_Tobacco_8.raw
FILES
QC_Tobacco_8_HILIC.raw
FILES
QC_Tobacco_Cigars_1.raw
FILES
QC_Tobacco_Cigars_1_HILIC.raw
FILES
QC_Tobacco_NR_1.raw
FILES
QC_Tobacco_NR_1_HILIC.raw
FILES
QC_Tobacco_NT_1.raw
FILES
QC_Tobacco_NT_1_HILIC.raw
FILES
QC_Tobacco_unknown_1.raw
FILES
QC_Tobacco_unknown_1_HILIC.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1440/1662 [2:48:41<34:22,  9.29s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1441/1662 [2:48:45<27:56,  7.59s/it]
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Date
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  Samples_Tobacco type
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Provenance
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 7
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4567
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
  Thermo Scientific TSQ Quantum: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
LC-MS
NEG
neg_ME_Pradiata_C1.mzXML
FILES
DERIVED_FILES
LC-MS
NEG
neg_ME_Pradiata_C2.mzXML
FILES
DERIVED_FILES
LC-MS
NEG
neg_ME_Pradiata_C3.mzXML
FILES
DERIVED_FILES
LC-MS
NEG
neg_ME_Pradiata_T1_1.mzXML
FILES
DERIVED_FILES
LC-MS
NEG
neg_ME_Pradiata_T1_2.mzXML
FILES
DERIVED_FILES
LC-MS
NEG
neg_ME_Pradiata_T1_3.mzXML
FILES
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NEG
neg_ME_Pradiata_T3_1.mzXML
FILES
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neg_ME_Pradiata_T3_2.mzXML
FILES
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neg_ME_Pradiata_T3_3.mzXML
FILES
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POS
pos_ME_Pradiata_C1.mzXML
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POS
pos_ME_Pradiata_T3_3.mzXML
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FILES
RAW_FILES
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FILES
RAW_FILES
GC-MS
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RAW_FILES
GC-MS
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FILES
RAW_FILES
GC-MS
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RAW_FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Samples_Term Source REF.2
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Biolgical replicate
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4572
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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NEG
B1.mzML
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DERIVED_FILES
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B2.mzML
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B3.mzML
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B4.mzML
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B6.mzML
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S6p.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1442/1662 [2:48:49<23:36,  6.44s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1443/1662 [2:48:53<21:15,  5.83s/it]
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Sample material
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4618
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
BLANK HILIC NEG.mzML
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DERIVED_FILES
QC-1 HILIC NEG.mzML
FILES
DERIVED_FILES
QC-8 HILIC NEG.mzML
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DERIVED_FILES
S-1 HILIC NEG.mzML
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DERIVED_FILES
T-I-128-1 HILIC NEG.mzML
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DERIVED_FILES
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DERIVED_FILES
T-I-128-3 HILIC NEG.mzML
FILES
DERIVED_FILES
T-I-128-4 HILIC NEG.mzML
FILES
DERIVED_FILES
T-I-128-5 HILIC NEG.mzML
FILES
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T-I-128-6 HILIC NEG.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4654
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion Lumos Tribrid: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
MW1735_ctrl_lysoip_neg_5ul_1.raw
FILES
RAW_FILES
NEG
MW1735_ctrl_lysoip_neg_5ul_2.raw
FILES
RAW_FILES
NEG
MW1735_ctrl_lysoip_neg_5ul_3.raw
FILES
RAW_FILES
NEG
MW1814_lipl-4Tg_lysoip_neg_5ul_1.raw
FILES
RAW_FILES
NEG
MW1814_lipl-4Tg_lysoip_neg_5ul_2.raw
FILES
RAW_FILES
NEG
MW1814_lipl-4Tg_lysoip_neg_5ul_3.raw
FILES
RAW_FILES
NEG
MW1814_lipl-4Tg_lysoip_neg_5ul_4.raw
FILES
RAW_FILES
POS
MW1735_ctrl_lysoip_pos_5ul_1.raw
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MW1735_ctrl_lysoip_pos_5ul_2.raw
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MW1735_ctrl_lysoip_pos_5ul_3.raw
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RAW_FILES
POS
MW1814_lipl-4Tg_lysoip_pos_5ul_1.raw
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RAW_FILES
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MW1814_lipl-4Tg_lysoip_pos_5ul_2.raw
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RAW_FILES
POS
MW1814_lipl-4Tg_lysoip_pos_5ul_3.raw
FILES
RAW_FILES
POS
MW1814_lipl-4Tg_lysoip_pos_5ul_4.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1444/1662 [2:48:56<18:23,  5.06s/it]
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 14 rows!
Added 14 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4708
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 5600+: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_BEHHILIC_NEG
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Galli_0627_a.mzML
FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1445/1662 [2:49:02<18:25,  5.09s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1446/1662 [2:49:05<16:13,  4.51s/it]
DERIVED_C18_POS
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  row_id
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Raw Spectral Data File.1
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 171 rows!
Added 171 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4709
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-XS QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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P_Lipids_LY037_B1_010_shSTAT3_P_1.raw
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4722
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6470 Triple Quadrupole: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
1.mzML
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DERIVED_FILES
2.mzML
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DERIVED_FILES
3.mzML
FILES
DERIVED_FILES
4.mzML
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DERIVED_FILES
5.mzML
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6.mzML
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DERIVED_FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_IDH1 genotype
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1447/1662 [2:49:08<14:27,  4.04s/it]
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
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Number of rows removed due to not enough metadata: 0
Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4816
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1448/1662 [2:49:13<16:10,  4.54s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1449/1662 [2:49:17<15:05,  4.25s/it]
 87%|████████▋ | 1450/1662 [2:49:18<11:32,  3.26s/it]
 87%|████████▋ | 1451/1662 [2:49:19<08:54,  2.53s/it]
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Number of rows removed due to not enough metadata: 0
Returning 208 rows!
Added 208 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4893
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Samples_Term Source REF.4
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4894
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5005
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5011
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5977A MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
H1.cdf
FILES
H10.cdf
FILES
H11.cdf
FILES
H12.cdf
FILES
H13.cdf
FILES
H14.cdf
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H15.cdf
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IGNORED:  Assay_Data Transformation Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1452/1662 [2:49:23<10:27,  2.99s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 87%|████████▋ | 1453/1662 [2:49:27<11:41,  3.36s/it]
 87%|████████▋ | 1454/1662 [2:49:28<09:01,  2.60s/it]
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 45 rows!
Added 45 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5178
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 82 rows!
Added 82 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5195
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5196
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1455/1662 [2:49:31<09:48,  2.85s/it]
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 6546 LC/Q-TOF: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
P0001_S10neg.mzXML
FILES
DERIVED_FILES
P0001_S10pos.mzXML
FILES
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P0001_S11neg.mzXML
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P0001_S11pos.mzXML
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P0001_S6pos.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
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IGNORED:  Is Multicellular
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_FIA Instrument
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5197
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Inj_001.raw
FILES
Inj_002.raw
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Inj_003.raw
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Inj_085.raw
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Inj_086.raw
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Inj_088.raw
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Inj_089.raw
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Inj_090.raw
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Inj_091.raw
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Inj_092.raw
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Inj_095.raw
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Inj_096.raw
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Inj_097.raw
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Inj_098.raw
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Accession Number.3
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IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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Number of rows removed due to not enough metadata: 0
Returning 355 rows!
Added 355 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5219
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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cDCE-t4-11.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1457/1662 [2:49:47<18:05,  5.30s/it]
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  Assay_Scan m/z range
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IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 142
Returning 25 rows!
Added 25 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5261
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5297
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RAF68pos.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1460/1662 [2:50:08<21:08,  6.28s/it]
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease stage
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 304 rows!
Added 304 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS533
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data file checksum type/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1461/1662 [2:50:15<21:29,  6.41s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1462/1662 [2:50:19<19:20,  5.80s/it]
Number of rows removed due to not enough metadata: 0
Returning 144 rows!
Added 144 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5358
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific TSQ 9000: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5375
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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IGNORED:  Assay_Data Transformation Name
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Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1463/1662 [2:50:26<20:07,  6.07s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1464/1662 [2:50:30<18:16,  5.54s/it]
 88%|████████▊ | 1465/1662 [2:50:31<13:30,  4.11s/it]
 88%|████████▊ | 1466/1662 [2:50:32<10:12,  3.13s/it]
IGNORED:  Samples_Organism part
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Number of rows removed due to not enough metadata: 24
Returning 35 rows!
Added 35 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5401
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Country: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5405
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5423
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5430
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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TermsofPosition: ADDED!
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 88%|████████▊ | 1467/1662 [2:50:39<13:58,  4.30s/it]
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
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IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 164 rows!
Added 164 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5462
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 216 rows!
Added 216 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5463
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Mission category
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
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IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Term Source REF.2
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Number of rows removed due to not enough metadata: 0
Returning 2668 rows!
Added 2668 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS55
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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B086_0206_R_RP_pos.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 229 rows!
Added 229 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5568
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Exactive: missing value
ENVOEnvironmentBiome:
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_MRI pancreas fat
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_WPI
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 796 rows!
Added 796 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5572
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ 9000: missing value
  Thermo Scientific Q Exactive Plus: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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LC_NEG_MIF28-2.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Sampling Time Post Infection
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
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IGNORED:  Samples_Source Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  keep
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 87 rows!
Added 87 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5608
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS561
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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151203s058.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▊ | 1474/1662 [2:52:03<23:06,  7.37s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▊ | 1475/1662 [2:52:07<19:29,  6.25s/it]
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
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IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 164 rows!
Added 164 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5662
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  Samples_Organism part
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Column model
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Leaf colour
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Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5665
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
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21P13060044_BEHC18_NEG.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
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IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 164 rows!
Added 164 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5667
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▉ | 1477/1662 [2:52:18<18:02,  5.85s/it]
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Blank1.mzXML
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NC1.mzXML
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NC3.mzXML
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NC4.mzXML
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  filename_lower
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
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Number of rows removed due to not enough metadata: 0
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5744
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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qiita_sample_name: ADDED!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 160 rows!
Added 160 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5762
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 220 rows!
Added 220 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5778
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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UBERONBodyPartName:
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ENVOEnvironmentBiome:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▉ | 1480/1662 [2:52:37<18:30,  6.10s/it]
 89%|████████▉ | 1481/1662 [2:52:37<13:35,  4.51s/it]
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
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Number of rows removed due to not enough metadata: 1
Returning 73 rows!
Added 73 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5803
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5810
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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sstreb_20191216_p2157_o6205_DDA_pos_1to20_sample_QC6.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▉ | 1482/1662 [2:52:42<13:37,  4.54s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▉ | 1483/1662 [2:52:45<12:21,  4.14s/it]
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FILES
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IGNORED:  Assay_Protocol REF
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Number of rows removed due to not enough metadata: 0
Returning 102 rows!
Added 102 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS584
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5877
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5893
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Agilent 6530 Accurate-Mass Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
01_20210622_MeOH_preblank.mzML
FILES
DERIVED_FILES
02_20210622_UTEX2797_GFB_EtOAc_MeOH_r1of2_20uL.mzML
FILES
DERIVED_FILES
03_20210622_UTEX2797_GFB_EtOAc_MeOH_r2of2_20uL.mzML
FILES
DERIVED_FILES
04_0306_UTEX995T2_2of3_10uL.mzML
FILES
DERIVED_FILES
04_20210622_12A1_GFB_EtOAc_MeOH_r1of2_20uL.mzML
FILES
DERIVED_FILES
05_0306_UTEX995T2_3of3_10uL.mzML
FILES
DERIVED_FILES
05_20210622_12A1_GFB_EtOAc_MeOH_r2of2_20uL.mzML
FILES
DERIVED_FILES
06_20210622_MeOH_interblank.mzML
FILES
DERIVED_FILES
07_20210622_12B1_GFB_EtOAc_MeOH_r1of2_20uL.mzML
FILES
DERIVED_FILES
08_0306_RCC3426_2of3_10uL.mzML
FILES
DERIVED_FILES
08_20210622_12B1_GFB_EtOAc_MeOH_r2of2_20uL.mzML
FILES
DERIVED_FILES
09_0306_RCC3426_3of3_10uL.mzML
FILES
DERIVED_FILES
09_20210622_RCC3703_GFB_EtOAc_MeOH_r1of2_20uL.mzML
FILES
DERIVED_FILES
10_20210622_RCC3703_GFB_EtOAc_MeOH_r2of2_20uL.mzML
FILES
DERIVED_FILES
11_20210622_MeOH_interblank.mzML
FILES
DERIVED_FILES
12_20210622_CCMP2941_GFB_EtOAc_MeOH_r1of2_20uL.mzML
FILES
DERIVED_FILES
13_20210622_CCMP2941_GFB_EtOAc_MeOH_r2of2_20uL.mzML
FILES
DERIVED_FILES
14_20210622_CCMP3037_GFB_EtOAc_MeOH_r1of2_20uL.mzML
FILES
DERIVED_FILES
15_20210622_CCMP3037_GFB_EtOAc_MeOH_r2of2_20uL.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_cell culture concentration/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▉ | 1485/1662 [2:52:50<10:14,  3.47s/it]
 89%|████████▉ | 1486/1662 [2:52:51<08:04,  2.75s/it]
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Biolgical replicate
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_cell culture volume
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5943
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS607
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF45.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF45_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF46.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF46_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF49.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF49_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF50.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF50_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF52.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF52_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF53.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF53_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF60.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF60_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF69.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_JF69_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_MeOH.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_MeOH_20200306052111.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_MeOH_20200306104348.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_NegIonStds1.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_NegIonStds1_2.raw
FILES
RAW_FILES
LC-MS_negative
200305_MWC_Latour_Gobert_Stomach_NegHESI_ZicHILIC_NegIonStds1_3.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF45.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF45_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF46.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF46_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF49.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF49_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF50.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF50_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF52.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF52_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF53.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF53_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF60.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF60_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF69.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_JF69_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_MeOH.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_MeOH_20200305112538.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_MeOH_20200305164823.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_MeOH_20200305221104.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_PosIonStds1.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_PosIonStds1_2.raw
FILES
RAW_FILES
LC-MS_positive
200305_MWC_Latour_Gobert_Stomach_PosHESI_ZicHILIC_PosIonStds1_3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 89%|████████▉ | 1487/1662 [2:52:57<10:15,  3.52s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1488/1662 [2:53:01<11:19,  3.91s/it]
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_H Pylori infected
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 13
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6081
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Waters Xevo G2-XS QTof: missing value
UBERONBodyPartName:
  : missing value
FILES
XS1_2017_05_08_LS_001.mzML
FILES
XS1_2017_05_08_LS_002.mzML
FILES
XS1_2017_05_08_LS_003.mzML
FILES
XS1_2017_05_08_LS_004.mzML
FILES
XS1_2017_05_08_LS_005.mzML
FILES
XS1_2017_05_08_LS_006.mzML
FILES
XS1_2017_07_28_LS_004.mzML
FILES
XS1_2017_07_28_LS_010.mzML
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_pH
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Temperature
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Cell count
IGNORED:  Samples_Organism
IGNORED:  Samples_SPE volume
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_Fluid type
IGNORED:  Samples_TOC
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Samples_Conductivity
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Samples_ORP
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.7
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Well site
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Samples_Unit.6
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Lithology
IGNORED:  Samples_Pump depth
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Unit.5
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Sample TOC
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 8 rows!
Added 8 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6082
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Blank_01.mzML
FILES
Blank_02.mzML
FILES
Blank_03.mzML
FILES
D1_A_01.mzML
FILES
D1_A_02.mzML
FILES
D1_B_01.mzML
FILES
D1_B_02.mzML
FILES
D1_C_01.mzML
FILES
D1_C_02.mzML
FILES
D3_A_01.mzML
FILES
D3_B_01.mzML
FILES
D3_C_01.mzML
FILES
D7_A_01.mzML
FILES
D7_A_02.mzML
FILES
D7_B_01.mzML
FILES
D7_B_02.mzML
FILES
D7_C_01.mzML
FILES
D7_C_02.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Samples_Sample Type
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Differentiation State
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1489/1662 [2:53:06<12:01,  4.17s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1490/1662 [2:53:10<11:56,  4.16s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1491/1662 [2:53:15<12:03,  4.23s/it]
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6083
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QExHF_NM_MSC_Blank1_00541.mzML
FILES
QExHF_NM_MSC_Blank2_IS_00550.mzML
FILES
QExHF_NM_MSC_Blank3_00579.mzML
FILES
QExHF_NM_MSC_Blank4_IS_00583.mzML
FILES
QExHF_NM_MSC_Blank5_00600.mzML
FILES
QExHF_NM_MSC_Blank6_IS_00545.mzML
FILES
QExHF_NM_MSC_D0_control_00577.mzML
FILES
QExHF_NM_MSC_D0_control_00596.mzML
FILES
QExHF_NM_MSC_D0_control_00606.mzML
FILES
QExHF_NM_MSC_D7_FSG_00633.mzML
FILES
QExHF_NM_MSC_D7_FSG_00636.mzML
FILES
QExHF_NM_MSC_D7_FSG_00658.mzML
FILES
QExHF_NM_MSC_D7_TriaC_00639.mzML
FILES
QExHF_NM_MSC_D7_TriaC_00651.mzML
FILES
QExHF_NM_MSC_D7_TriaC_00652.mzML
FILES
QExHF_NM_MSC_D7_control_00573.mzML
FILES
QExHF_NM_MSC_D7_control_00574.mzML
FILES
QExHF_NM_MSC_D7_control_00595.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Differentiation State
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6084
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX QTRAP 6500+: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
SL_ST_Blank1.mzML
FILES
SL_ST_Blank2.mzML
FILES
SL_ST_Blank_IS.mzML
FILES
SL_ST_D1_A-MKII_d1A.mzML
FILES
SL_ST_D1_B-MKII_D1_B.mzML
FILES
SL_ST_D1_C-MKII_D1_C.mzML
FILES
SL_ST_D3_A-MKII_d3A.mzML
FILES
SL_ST_D3_B-MKII_D3_B.mzML
FILES
SL_ST_D3_C-MKII_D3_C.mzML
FILES
SL_ST_D7_A-MKII_d7A.mzML
FILES
SL_ST_D7_B-MKII_D7_B.mzML
FILES
SL_ST_D7_C-MKII_D7_C.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Differentiation State
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS61
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Discovery: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
293(ARL-AMPCP)-24-1.RAW
FILES
293(ARL-AMPCP)-24-2.RAW
FILES
293(ARL-AMPCP)-24-3.RAW
FILES
293(control)-24-1.RAW
FILES
293(control)-24-2.RAW
FILES
293(control)-24-3.RAW
FILES
610(ARL-AMPCP)-24-1.RAW
FILES
610(ARL-AMPCP)-24-2.RAW
FILES
610(ARL-AMPCP)-24-3.RAW
FILES
610(control)-24-1.RAW
FILES
610(control)-24-2.RAW
FILES
610(control)-24-3.RAW
FILES
66(ARL-AMPCP)-24-1.RAW
FILES
66(ARL-AMPCP)-24-2.RAW
FILES
66(ARL-AMPCP)-24-3.RAW
FILES
66(control)-24-1.RAW
FILES
66(control)-24-2.RAW
FILES
66(control)-24-3.RAW
FILES
F_KO_1.RAW
FILES
F_KO_2.RAW
FILES
F_KO_3.RAW
FILES
F_KO_4.RAW/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1492/1662 [2:53:19<11:43,  4.14s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1493/1662 [2:53:22<10:56,  3.88s/it]
FILES
F_KO_5.RAW
FILES
F_KO_6.RAW
FILES
F_KO_7.RAW
FILES
F_WT_1.RAW
FILES
F_WT_2.RAW
FILES
F_WT_3.RAW
FILES
F_WT_4.RAW
FILES
F_WT_5.RAW
FILES
GFP(ARL-AMPCP)-24-1.RAW
FILES
GFP(ARL-AMPCP)-24-2.RAW
FILES
GFP(ARL-AMPCP)-24-3.RAW
FILES
GFP(control)-24-1.RAW
FILES
GFP(control)-24-2.RAW
FILES
GFP(control)-24-3.RAW
FILES
M_KO_1.RAW
FILES
M_KO_2.RAW
FILES
M_KO_3.RAW
FILES
M_KO_4.RAW
FILES
M_WT_1.RAW
FILES
M_WT_2.RAW
FILES
M_WT_3.RAW
FILES
M_WT_4.RAW
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Ectonucleotidase inhibition
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_ABCC6 genotype
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6121
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
CRD1_NEG.mzML
FILES
DERIVED_FILES
NEG
CRD2_NEG.mzML
FILES
DERIVED_FILES
NEG
CRD3_NEG.mzML
FILES
DERIVED_FILES
NEG
CRD4_NEG.mzML
FILES
DERIVED_FILES
NEG
CRD5_NEG.mzML
FILES
DERIVED_FILES
NEG
CRD6_NEG.mzML
FILES
DERIVED_FILES
NEG
WRD1_NEG.mzML
FILES
DERIVED_FILES
NEG
WRD2_NEG.mzML
FILES
DERIVED_FILES
NEG
WRD3_NEG.mzML
FILES
DERIVED_FILES
NEG
WRD4_NEG.mzML
FILES
DERIVED_FILES
NEG
WRD5_NEG.mzML
FILES
DERIVED_FILES
NEG
WRD6_NEG.mzML
FILES
DERIVED_FILES
POS
CRD1_POS.mzML
FILES
DERIVED_FILES
POS
CRD2_POS.mzML
FILES
DERIVED_FILES
POS
CRD3_POS.mzML
FILES
DERIVED_FILES
POS
CRD4_POS.mzML
FILES
DERIVED_FILES
POS
CRD5_POS.mzML
FILES
DERIVED_FILES
POS
CRD6_POS.mzML
FILES
DERIVED_FILES
POS
WRD1_POS.mzML
FILES
DERIVED_FILES
POS
WRD2_POS.mzML
FILES
DERIVED_FILES
POS
WRD3_POS.mzML
FILES
DERIVED_FILES
POS
WRD4_POS.mzML
FILES
DERIVED_FILES
POS
WRD5_POS.mzML
FILES
DERIVED_FILES
POS
WRD6_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Column type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS627
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975 MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
D1-1.CDF
FILES
D1-2.CDF
FILES
D1-3.CDF
FILES
D1-4.CDF
FILES
D1-5.CDF
FILES
D1-6.CDF
FILES
D4-1.CDF
FILES
D4-2.CDF
FILES
D4-3.CDF
FILES
D4-4.CDF
FILES
D4-5.CDF
FILES
D4-6.CDF
FILES
D5-1.CDF
FILES
D5-2.CDF
FILES
D5-3.CDF
FILES
D5-4.CDF
FILES
D5-5.CDF
FILES
PD5-1.CDF
FILES
PD5-2.CDF
FILES
PD5-3.CDF
FILES
PD5-4.CDF
FILES
Uterus-D1-1.CDF
FILES
Uterus-D1-2.CDF
FILES
Uterus-D1-3.CDF
FILES
Uterus-D1-4.CDF
FILES
Uterus-D1-5.CDF
FILES
Uterus-D1-6.CDF
FILES
Uterus-D4-1.CDF
FILES
Uterus-D4-2.CDF
FILES
Uterus-D4-3.CDF
FILES
Uterus-D4-4.CDF
FILES
Uterus-D4-5.CDF
FILES
Uterus-D4-6.CDF
FILES
Uterus-D5I-2.CDF
FILES
Uterus-D5I-4.CDF
FILES
Uterus-D5I-5.CDF
FILES
Uterus-D5I-6.CDF
FILES
Uterus-D5I-7.CDF
FILES
Uterus-D5II-2.CDF
FILES
Uterus-D5II-4.CDF
FILES
Uterus-D5II-5.CDF
FILES
Uterus-D5II-6.CDF
FILES
Uterus-D5II-7.CDF
FILES
Uterus-Dec-2.CDF
FILES
Uterus-Dec-3.CDF
FILES
Uterus-Dec-4.CDF
FILES
Uterus-Dec-8.CDF
FILES
Uterus-PD5-1.CDF
FILES
Uterus-PD5-2.CDF
FILES
Uterus-PD5-3.CDF
FILES
Uterus-PD5-4.CDF
FILES
Uterus-unDec-1.CDF
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 90%|████████▉ | 1494/1662 [2:53:26<11:06,  3.97s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|████████▉ | 1495/1662 [2:53:30<11:24,  4.10s/it]
Uterus-unDec-2.CDF
FILES
Uterus-unDec-3.CDF
FILES
Uterus-unDec-4.CDF
FILES
Uterus-unDec-8.CDF
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Time elapsed
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 56 rows!
Added 56 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6366
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  AB SCIEX TripleTOF 4600: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
metabolomic
POS
DataQC11.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC12.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC18.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC19.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC20.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC21.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC22.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC23.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC24.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC27.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC28.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC29.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC30.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC34.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC35.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC36.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC42.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC56.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC57.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC58.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC60.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC61.wiff
FILES
RAW_FILES
metabolomic
POS
DataQC9.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Cell
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 23 rows!
Added 23 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6402
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
Blanc1-neg.raw
FILES
RAW_FILES
NEG
Blanc2-neg.raw
FILES
RAW_FILES
NEG
Blanc3-neg.raw
FILES
RAW_FILES
NEG
EL01-neg.raw
FILES
RAW_FILES
NEG
EL02-neg.raw
FILES
RAW_FILES
NEG
EL03-neg.raw
FILES
RAW_FILES
NEG
EL04-neg.raw
FILES
RAW_FILES
NEG
EL05-neg.raw
FILES
RAW_FILES
NEG
EL06-neg.raw
FILES
RAW_FILES
NEG
EL07-neg.raw
FILES
RAW_FILES
NEG
EL08-neg.raw
FILES
RAW_FILES
NEG
EL09-neg.raw
FILES
RAW_FILES
NEG
EL10-neg.raw
FILES
RAW_FILES
NEG
EL11-neg.raw
FILES
RAW_FILES
NEG
EL12-neg.raw
FILES
RAW_FILES
NEG
EL13-neg.raw
FILES
RAW_FILES
NEG
EL14-neg.raw
FILES
RAW_FILES
NEG
EL15-neg.raw
FILES
RAW_FILES
NEG
EL16-neg.raw
FILES
RAW_FILES
NEG
EL17-neg.raw
FILES
RAW_FILES
NEG
EL18-neg.raw
FILES
RAW_FILES
NEG
EL19-neg.raw
FILES
RAW_FILES
NEG
EL20-neg.raw
FILES
RAW_FILES
NEG
EL21-neg.raw
FILES
RAW_FILES
NEG
EL22-neg.raw
FILES
RAW_FILES
NEG
EL23-neg.raw
FILES
RAW_FILES
NEG
EL24-neg.raw
FILES
RAW_FILES
NEG
JpStd1-neg.raw
FILES
RAW_FILES
NEG
JpStd2-neg.raw
FILES
RAW_FILES
POS
Blanc1-pos.raw
FILES
RAW_FILES
POS
Blanc2-pos.raw
FILES
RAW_FILES
POS
Blanc3-pos.raw
FILES
RAW_FILES
POS
EL01_pos.raw
FILES
RAW_FILES
POS
EL02_pos.raw
FILES
RAW_FILES
POS
EL03_pos.raw
FILES
RAW_FILES
POS
EL04_pos.raw
FILES
RAW_FILES
POS
EL05_pos.raw
FILES
RAW_FILES
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|█████████ | 1496/1662 [2:53:36<12:29,  4.51s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|█████████ | 1497/1662 [2:53:41<12:38,  4.59s/it]
 90%|█████████ | 1498/1662 [2:53:42<09:28,  3.46s/it]POS
EL06_pos.raw
FILES
RAW_FILES
POS
EL07_pos.raw
FILES
RAW_FILES
POS
EL08_pos.raw
FILES
RAW_FILES
POS
EL09_pos.raw
FILES
RAW_FILES
POS
EL10_pos.raw
FILES
RAW_FILES
POS
EL11_pos.raw
FILES
RAW_FILES
POS
EL12_pos.raw
FILES
RAW_FILES
POS
EL13_pos.raw
FILES
RAW_FILES
POS
EL14_pos.raw
FILES
RAW_FILES
POS
EL15_pos.raw
FILES
RAW_FILES
POS
EL16_pos.raw
FILES
RAW_FILES
POS
EL17_pos.raw
FILES
RAW_FILES
POS
EL18_pos.raw
FILES
RAW_FILES
POS
EL19_pos.raw
FILES
RAW_FILES
POS
EL20_pos.raw
FILES
RAW_FILES
POS
EL21_pos.raw
FILES
RAW_FILES
POS
EL22_pos.raw
FILES
RAW_FILES
POS
EL23_pos.raw
FILES
RAW_FILES
POS
EL24_pos.raw
FILES
RAW_FILES
POS
JpStd1-pos.raw
FILES
RAW_FILES
POS
JpStd2-pos.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 4
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6458
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
20200804X01N.mzML
FILES
DERIVED_FILES
NEG
20200804X02N.mzML
FILES
DERIVED_FILES
NEG
20200804X03N.mzML
FILES
DERIVED_FILES
NEG
20200804X04N.mzML
FILES
DERIVED_FILES
NEG
20200804X05N.mzML
FILES
DERIVED_FILES
NEG
20200804X06N.mzML
FILES
DERIVED_FILES
NEG
20200804X07N.mzML
FILES
DERIVED_FILES
NEG
20200804X08N.mzML
FILES
DERIVED_FILES
NEG
20200804X09N.mzML
FILES
DERIVED_FILES
NEG
20200804X10N.mzML
FILES
DERIVED_FILES
NEG
20200804X11N.mzML
FILES
DERIVED_FILES
NEG
20200804X12N.mzML
FILES
DERIVED_FILES
NEG
QC20200804QCX01N.mzML
FILES
DERIVED_FILES
NEG
QC20200804QCX02N.mzML
FILES
DERIVED_FILES
NEG
QC20200804QCX03N.mzML
FILES
DERIVED_FILES
POS
20200804X01.mzML
FILES
DERIVED_FILES
POS
20200804X02.mzML
FILES
DERIVED_FILES
POS
20200804X03.mzML
FILES
DERIVED_FILES
POS
20200804X04.mzML
FILES
DERIVED_FILES
POS
20200804X05.mzML
FILES
DERIVED_FILES
POS
20200804X06.mzML
FILES
DERIVED_FILES
POS
20200804X07.mzML
FILES
DERIVED_FILES
POS
20200804X08.mzML
FILES
DERIVED_FILES
POS
20200804X09.mzML
FILES
DERIVED_FILES
POS
20200804X10.mzML
FILES
DERIVED_FILES
POS
20200804X11.mzML
FILES
DERIVED_FILES
POS
20200804X12.mzML
FILES
DERIVED_FILES
POS
QC20200804QCX01.mzML
FILES
DERIVED_FILES
POS
QC20200804QCX02.mzML
FILES
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6502
Request successful!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6505
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SampleCollectionMethod: ADDED!
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Country: ADDED!
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20211210_QE1_JS_Job2460_35.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 1
Returning 58 rows!
Added 58 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6537
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
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IGNORED:  Samples_Organism/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6586
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 90%|█████████ | 1501/1662 [2:53:57<11:53,  4.43s/it]
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Inhibition efficiency
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 142 rows!
Added 142 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6615
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Orbitrap ID-X Tribrid: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 203 rows!
Added 203 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6661
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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  : missing value
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IGNORED:  Samples_Source Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Post Extraction
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Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6663
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
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  Thermo Scientific Q Exactive Plus: missing value
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Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6715
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6728
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS674
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 194 rows!
Added 194 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS676
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6777
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 174 rows!
Added 174 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6831
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 91%|█████████ | 1510/1662 [2:54:39<12:49,  5.06s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 91%|█████████ | 1511/1662 [2:54:43<11:31,  4.58s/it]
 91%|█████████ | 1512/1662 [2:54:44<08:48,  3.52s/it]
 91%|█████████ | 1513/1662 [2:54:45<06:44,  2.71s/it]
 91%|█████████ | 1514/1662 [2:54:46<05:17,  2.14s/it]
  nan: missing value
FILES
RAW_FILES
AP1.raw
FILES
RAW_FILES
AP2.raw
FILES
RAW_FILES
AP3.raw
FILES
RAW_FILES
AP5.raw
FILES
RAW_FILES
AP6.raw
FILES
RAW_FILES
AP8.raw
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RAW_FILES
Ctrl1.raw
FILES
RAW_FILES
Ctrl2.raw
FILES
RAW_FILES
Ctrl3.raw
FILES
RAW_FILES
Ctrl4.raw
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Ctrl6.raw
FILES
RAW_FILES
Ctrl7.raw
FILES
RAW_FILES
QC-1.raw
FILES
RAW_FILES
QC-2.raw
FILES
RAW_FILES
QC-3.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 15 rows!
Added 15 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6881
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
NEG
CON1_N.mzML
FILES
DERIVED_FILES
NEG
CON2_N.mzML
FILES
DERIVED_FILES
NEG
CON3_N.mzML
FILES
DERIVED_FILES
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CON4_N.mzML
FILES
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CON5_N.mzML
FILES
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CON6_N.mzML
FILES
DERIVED_FILES
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CON7_N.mzML
FILES
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CON8_N.mzML
FILES
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IUGR1_N.mzML
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FILES
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IUGR3_N.mzML
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IUGR4_N.mzML
FILES
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IUGR5_N.mzML
FILES
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IUGR6_N.mzML
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IUGR7_N.mzML
FILES
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IUGR8_N.mzML
FILES
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POS
CON2_P.mzML
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POS
CON3_P.mzML
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CON4_P.mzML
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CON6_P.mzML
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CON7_P.mzML
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IUGR1_P.mzML
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IUGR2_P.mzML
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POS
IUGR3_P.mzML
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POS
IUGR4_P.mzML
FILES
DERIVED_FILES
POS
IUGR5_P.mzML
FILES
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POS
IUGR6_P.mzML
FILES
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POS
IUGR7_P.mzML
FILES
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IUGR8_P.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6886
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6894
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS69
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS690
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus III: missing value
  Agilent 6550 iFunnel Q-TOF: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
gcms_none_fat_CW-f10_H1920.cdf
FILES
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FILES
gcms_none_fat_CW-f12_H1928.cdf
FILES
gcms_none_fat_CW-f13_H1930.cdf
FILES
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FILES
gcms_none_fat_CW-f15_H1933.cdf
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FILES
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FILES
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FILES
gcms_none_fat_CW-f19_H1948.cdf
FILES
gcms_none_fat_CW-f1_H1717.cdf
FILES
gcms_none_fat_CW-f20_H1950.cdf
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
gcms_none_fat_CW-f28_H2002.cdf
FILES
gcms_none_fat_CW-f29_H2016.cdf
FILES
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gcms_none_muscle_CW-m18_H1943.cdf
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gcms_none_muscle_CW-m23_H1957.cdf
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gcms_none_muscle_CW-m24_H1961.cdf
FILES
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FILES
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lcms_positive_muscle_CW-m22_H1956.CDF
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lcms_positive_muscle_CW-m24_H1961.CDF
FILES
lcms_positive_muscle_CW-m25_H1962.CDF
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lcms_positive_muscle_CW-m27_H1981.CDF
FILES
lcms_positive_muscle_CW-m28_H2002.CDF
FILES
lcms_positive_muscle_CW-m29_H2016.CDF
FILES
lcms_positive_muscle_CW-m2_H1784.CDF
FILES
lcms_positive_muscle_CW-m30_H2017.CDF
FILES
lcms_positive_muscle_CW-m31_H2027.CDF
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lcms_positive_muscle_CW-m34_H2056.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 91%|█████████ | 1515/1662 [2:55:00<14:28,  5.91s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
lcms_positive_muscle_CW-m35_H2060.CDF
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lcms_positive_muscle_CW-m36_H2061.CDF
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lcms_positive_muscle_CW-m37_H2063.CDF
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Number of rows removed due to not enough metadata: 0
Returning 679 rows!
Added 679 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6933
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
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qiita_sample_name: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 2 rows!
Added 2 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6978
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
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DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
RAW_FILES
2019LZ023_REME_001_CHK_H4a_250ng.raw
FILES
RAW_FILES
2020MR001_MOLU_001_01_CHK_H5.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 91%|█████████▏| 1517/1662 [2:55:07<10:55,  4.52s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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RAW_FILES
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2022MR008_MATA_007_Mock.raw
FILES
RAW_FILES
2022MR008_MATA_008_Mock.raw
FILES
RAW_FILES
2022MR008_MATA_009_01_Mock.raw
FILES
RAW_FILES
2022MR008_MATA_010_01_CHIKV.raw
FILES
RAW_FILES
2022MR008_MATA_011_01_CHIKV.raw
FILES
RAW_FILES
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Host Cell Line
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6990
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6991
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific TSQ Altis Plus: missing value
UBERONBodyPartName:
  : missing value
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_40.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_41.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_42.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_43.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_45.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_46.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_47.mzML
FILES
DERIVED_FILES
mtab_saltysar11_3_011023_48.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Filtered volume
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Media
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Cell density
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 6
Returning 2 rows!
Added 2 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS704
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 3200: missing value
FILES
2018-04-19.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 91%|█████████▏| 1520/1662 [2:55:16<08:42,  3.68s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1521/1662 [2:55:21<09:33,  4.07s/it]
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1 rows!
Added 1 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7053
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
FILES
DERIVED_FILES
NEG
HFX9_1262983_CN_QC1.mzML
FILES
DERIVED_FILES
NEG
HFX9_1262983_CN_QC2.mzML
FILES
DERIVED_FILES
NEG
HFX9_1262983_CN_QC3.mzML
FILES
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NEG
HFX9_1262983_CN_blank.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN1_FZTM220032052-1A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN1_FZTM220032052-2A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN1_FZTM220032052-3A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN1_FZTM220032052-4A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN1_FZTM220032052-5A.mzML
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DERIVED_FILES
NEG
HFX9_CN1_FZTM220032052-6A.mzML
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HFX9_CN2_FZTM220032053-1A.mzML
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HFX9_CN2_FZTM220032053-2A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN2_FZTM220032053-3A.mzML
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DERIVED_FILES
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HFX9_CN2_FZTM220032053-4A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN2_FZTM220032053-5A.mzML
FILES
DERIVED_FILES
NEG
HFX9_CN2_FZTM220032053-6A.mzML
FILES
DERIVED_FILES
POS
HFX9_1262983_CP_QC1.mzML
FILES
DERIVED_FILES
POS
HFX9_1262983_CP_QC2.mzML
FILES
DERIVED_FILES
POS
HFX9_1262983_CP_QC3.mzML
FILES
DERIVED_FILES
POS
HFX9_1262983_CP_blank.mzML
FILES
DERIVED_FILES
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HFX9_CP1_FZTM220032052-1A.mzML
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DERIVED_FILES
POS
HFX9_CP1_FZTM220032052-2A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP1_FZTM220032052-3A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP1_FZTM220032052-4A.mzML
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DERIVED_FILES
POS
HFX9_CP1_FZTM220032052-5A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP1_FZTM220032052-6A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP2_FZTM220032053-1A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP2_FZTM220032053-2A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP2_FZTM220032053-3A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP2_FZTM220032053-4A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP2_FZTM220032053-5A.mzML
FILES
DERIVED_FILES
POS
HFX9_CP2_FZTM220032053-6A.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 30
Returning 2 rows!
Added 2 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7060
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMA1.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMA2.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMA3.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMB1.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMB2.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMB3.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMC1.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMC2.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMC3.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMD1.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMD2.mzXML
FILES
DERIVED_FILES
LC_MS_NEG_AMT
MMD3.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMA1.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMA2.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMA3.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMB1.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMB2.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMB3.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMC1.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
MMC2.mzXML
FILES
DERIVED_FILES
LC_MS_POS_AMT
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FILES
DERIVED_FILES
LC_MS_POS_AMT
MMD1.mzXML
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DERIVED_FILES
LC_MS_POS_AMT
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FILES
DERIVED_FILES
LC_MS_POS_AMT
MMD3.mzXML
FILES
RAW_FILES
GC_MS_AMT
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FILES
RAW_FILES
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RAW_FILES
GC_MS_AMT
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1522/1662 [2:55:24<09:00,  3.86s/it]
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Parasite line
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS717
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap Discovery: missing value
  Waters Xevo G2-S QTof: missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DESI_VMET2_NEG_mzML
1 V433+22,5 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
10 V526+21,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
100 V468+16 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
101 V627+13 neg3_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
102 V627+22,2 neg 2_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
103 V470+22,3 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
104 V470+13,3 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
105 V665+30,6 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
106 V665+21,6 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
107 V665+12,6 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
108 V338+24,5 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
109 V338+30,5 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
11 V526+31,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
110 V338+15,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
111 V505+24,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
112 V505+15,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
113 V385+30,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
114 V385+22,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
115 V810+15,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
116 V810+32,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
117 V810+21,3 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
118 V403+14 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
119 V403+22 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
12 V337+22,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
120 V403+30 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
121 V384+16 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
122 V384+20 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
123 V384+30 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
124 V687+13 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
125 V687+21,3 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
126 V687+31,3 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
127 V301+22,4 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
128 V301+30,4 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
129 V301+13,4 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
13 V337+15,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
130 V704+31,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
131 V704+21,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
132 V704+16,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
133 V332+13,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
134 V332+20,1 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
135 V332+30,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
136 V433+23,5 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
137 V433+29,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
138 V433+13,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
139 V481+22,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
14 V337+30,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
140 V481+31,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
141 V481+14,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
142 V355+21,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
143 V355+13,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
144 V355+30,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
145 V309+21 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
146 V309+30 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
147 V309+16 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
148 V819+30,4 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
149 V819+23,4 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
15 V472 +16,1 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
150 V819+14 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
151 V372+21,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
152 V372+31,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
153 V372+15,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
154 V417+30,4 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
155 V417+12,0 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
156 V417+19,4 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
157 V500+15,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
158 V404+15,5 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
159 V404+20,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
16 V472+30,6 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
160 V404+30,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
162 V475+15,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
163 V475+32,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
164 V648+12,4 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
165 V648+30,6 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
166 V648+22,6 neg 2_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
167 V754+13,3 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
168 V754+30,3 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
169 V754+22,3 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
17 V472+21,1 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
170 V499+33,5 neg_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
171 V499+14,5 neg_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
172 V499+23,5 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
173 V761+29 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
174 V761+20 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
175 V761+14 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
176 V474 13,4 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
177 V474+20,4 neg_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
178 V474+30,4 neg_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
179 V695+13,4 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
18 V416+22,6 neg 2_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
180 V695+33,4 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
181 V695+21,4 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
182 V430+20,5 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
183 V430+12,5 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
184 V430 34,5 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
185 V730+15,4 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
186 V730+30,4 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
187 V730+20,4 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
188 V466 20,2 neg 2_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
189 V466 31 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
19 V416+15,6 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
190 V466 17,2 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
191 V512+15,5 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
192 V397+14,2 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
193 V397+30,2 neg_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
194 V397+20,2 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
195 V435 14,6 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
196 V435+21,6 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
197 V435+30,6 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
198 V479+30,2 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
199 V479 21,2 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
2 V433+30,5 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
20 V502+19,6 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
200 V479+16,2 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
201 V429+30,3 neg_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
202 V429+14,3 neg 2_060419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
203 V429+20,3 neg_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
204 V465+14,5 neg 2_060419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
205 V465 29,5 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
206 V465 20,5 neg 2_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
207 V419 14,3 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
208 V419 30,3 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
209 V419 22,3 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
21 V502+28,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
210 V807 16,3 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
211 V807 23,3 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
212 V807 31,3 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
213 V589 15,5 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
214 V709 20,1 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
215 V709 32,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
216 V709 16,1 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
217 V711 33 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
218 V711 16 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
219 V711 22 neg 2_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
22 V502+15,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
220 V488 20,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
221 V488 31,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
222 V488 17,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
223 V413 13,3 neg 2_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
224 V413 20,3 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
225 V413 30,3 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
226 V316 22,5 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
227 V437 30 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
228 V437 20 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
229 V437 15 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
23 V671 +13,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
230 V348 20,1 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
231 V348 30,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
232 V348 13,1 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
233 V367 20 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
234 V367 30 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
235 V367 15 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
236 V450 17,1 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
237 V450 30,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
238 V450 20,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
239 V393 23 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
24 V671+30,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
240 V393 30 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
241 V393 14 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
242 V702 21,4 neg 2_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
243 V702 31,4 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
244 V702 13,4 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
245 V334+30,6 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
246 V334+16,0 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
247 V334+23,6 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
248 V471+14,1 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
249 V471+22,1 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
25 V671 +21,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
250 V471+34,6 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
251 V399+31,5 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
252 V399+21 neg 2_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
253 V399+15,4 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
254 V320+18,5 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
255 V320+30,5 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
256 V842+13 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
257 V842+20 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
258 V842+30 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
259 V371+15,6 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
26 V338+15,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
260 V473+16 neg 2_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
261 V473+20 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
262 V473+32 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
263 V350+15,6 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
264 V350+23,6 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
265 V350+29,6 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
266 V339+25,5 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
267 V339+19,5 neg 3_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
268 V339+30,4 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
269 V449+23,4 neg 2_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
27 V338+22,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
270 V449+20,4 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
271 V449+31,4 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
272 V411+23,1 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
273 V411+15,1 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
274 V448+20,5 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
275 V448+31,5 neg 2_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
276 V448+12,5 neg 2_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
277 V701+22,1 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
278 V701+33,1 neg 2_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
279 V701+16,1 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
28 V338+30,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
280 V362+15 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
281 V362+31 neg_090419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
282 V362+20 neg_090419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
283 V511+30 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
284 V511+19 neg 2_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
285 V511+14 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
286 V552+19,6 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
287 V552+14,6 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
288 V796+30,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
289 V796+15,3 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
29 V410+32,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
290 V796+21,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
291 V686+14,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
292 V686+34,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
293 V686+21,4 neg_100419 3_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
294 V736+21,5 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
295 V736+13,5 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
296 V736+31,5 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
297 V682+23,1 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
298 V682+35,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
299 V682+14,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
3 V443 +16,5 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
30 V410+21,4 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
300 V453+31,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
301 V453+15,2 neg 2_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
302 V453+21,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
303 V821+30 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
304 V821+22 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
305 V821+16,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
306 V335+19,1 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
307 V335+30,1 neg 2_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
308 V335+15,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
309 V800+21,3 neg 2_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
31 V490 22,5 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
310 V800+15,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
311 V800+32,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
312 V539+20 neg 2_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
313 V539+29 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
314 V539+16 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
315 V487+31,4 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
316 V487+13,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
317 V487+23,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
318 V659+22,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
319 V659+13,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
32 V490+13,5 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
320 V659+30,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
321 V469+13,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
322 V469+21,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
323 V469+34,4 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
324 V482+20,3 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
325 V482+31,2 neg 3_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
326 V482+16,3 neg 2_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
328 V387+19,6 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
33 V490 30,5 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
330 V707+22,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
331 V707+13,0 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
332 V707+32,3 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
333 V364+14,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
334 V364+30,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
335 V364+19,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
336 V364+24,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
337 V668+33,6 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
338 V668+22,5 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
339 V668+13,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
34 V485+30,4 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
340 V663+29,5 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
341 V663+22,5 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
342 V663+13,5 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
343 V850+29,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
344 V850+16,2 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
345 V850+21,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
346 V644+13,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
347 V644+30,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
348 V644+20,4 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
349 V464+28,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
35 V485+23,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
350 V464+16 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
351 V464+21,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
352 V363+30,3 neg 2_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
353 V363+19,3 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
354 V363+15,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
355 V438+30,1 neg 2_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
357 V438+22,1 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
359 V347+31,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
36 V485+14,4 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
360 V347+24,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
361 V374+20,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
362 V374+32,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
363 V374+14 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
364 V467+13,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
365 V467+32,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
366 V467+20,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
367 V315+29,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
368 V315+15,1 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
369 V315+23,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
37 V345+30,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
370 V486+23,4 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
371 V486+13,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
372 V486+29,4 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
373 V495+21 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
374 V495+30 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
375 V664+22,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
377 V664+14,2 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
378 V426+20,4 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
379 V846+20,3 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
38 V345+16,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
380 V846+15,3 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
381 V519+30,6 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
382 V519+20,6 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
383 V519+15,6 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
384 V361+20,3 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
385 V361+15,4 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
386 V361+30,3 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
387 V811+14,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
388 V811+22,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
389 V811+33,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
39 V345+19,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
390 V743+30,1 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
391 V743+14,1 neg_100419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
392 V743+20,1 neg_100419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
393 V708+15,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
394 V708+19,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
395 V708+32,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
396 V649+23,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
397 V649+10,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
398 V649+31,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
399 V480+29,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
4 V809+30 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
40 V658+15,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
400 V480+23,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
401 V480+12,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
402 V680+22 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
403 V680+35,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
404 V680+15 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
405 V780+21,4 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
406 V780+14,4 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
407 V780+32,4 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
408 V492+22,3 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
41 V658+31,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
410 V492+13,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
411 V813+15,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
412 V813+21,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
413 V813+30,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
414 V395+13,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
415 V395+22,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
416 V395+30,2 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
417 V745+22,1 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
418 V745+32,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
419 V745+16,1 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
42 V658 23,1 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
420 V678+21 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
421 V678+32 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
422 V678+15 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
423 V491+20,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
424 V491+34,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
425 V491+15,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
426 V489+23,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
427 V489+29,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
428 V489+13,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
429 V725+33,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
43 V753+29,6 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
430 V725+22,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
431 V725+14,3 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
432 V483+15,2 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
433 V483+32,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
434 V483+20,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
435 V389+14,3 neg 2_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
437 V389+30,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
438 V719+20,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
439 V719+14,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
44 V753+22,6 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
440 V719+31,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
441 V509+22 neg 2_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
442 V509+16 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
443 V509+29 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
444 V738+31,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
445 V738+13 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
446 V738+22 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
447 V349+31,2 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
448 V349+14,2 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
449 V349+21,2 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
45 V753+14,6 neg_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
450 V670+15,1 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
451 V670+20,1 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
452 V670+30,1 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
453 V381+23,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
455 V381+30,3 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
456 V843+23,1 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
457 V843+33,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
458 V843+13,5 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
459 V454+20,6 neg_110419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
46 V669+22,6 neg_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
460 V454+28,3 neg 2_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
461 V454+14,6 neg_110419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
462 V501+15,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
463 V336+14,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
464 V336+21,4 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
465 V336+30,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
466 V793+23,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
467 V793+31,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
468 V793+11,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
469 V820+15,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
47 V669+12,6 neg_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
470 V820+22,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
471 V820+30,1 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
472 V343+12,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
473 V762+30,2 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
474 V762+13,2 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
475 V762+21,2 neg 2_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
476 V834+16,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
477 V834+31,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
478 V834+20,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
479 V798+31,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
48 V669+30,6 neg_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
480 V798+21,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
481 V798+14,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
482 V463+21,3 neg 2_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
483 V463+29,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
484 V463+15,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
485 V378+23,5 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
486 V378+30,5 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
487 V378+30,5 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
488 V289+34,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
489 V289+16,6 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
49 V706+23 neg 2_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
491 V703+21,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
492 V703+30,2 neg 2_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
493 V703+14,2 neg 2_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
494 V358+20 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
495 V741+24,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
496 V741+15,1 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
497 V741+33,1 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
498 V444+20,5 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
499 V444+30,5 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
5 V809+21,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
50 V706+15 neg_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
500 V444+13,5 neg 2_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
501 V406+13,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
502 V508+23,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
503 V508+28,6 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
504 V508+13,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
505 V330+20 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
506 V330+30 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
507 V507+15 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
508 V507+24 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
509 V507+30 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
51 V706 34 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
510 V766+14,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
511 V766+22,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
512 V766+32,3 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
513 V547+33,6 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
514 V547+16,1 neg 2_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
515 V787+20,4 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
516 V787+30,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
517 V787+12,5 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
518 V756+21,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
519 V756+30,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
52 V455+30,6 neg_04042019_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
520 V756+15,2 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
521 V801+21 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
522 V801+30 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
523 V801+15,3 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
524 V660+30,5 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
525 V660+23,5 neg_120419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
526 V660+13,5 neg_120419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
528 V360+21,1 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
529 V359+15 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
53 V455+20,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
530 V359+22 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
531 V359+30 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
532 V498+15,6 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
533 V498+19,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
534 V498+30,6 neg 2_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
535 V322+31,4 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
536 V322+20,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
537 V322+15,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
538 V575+31,5 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
539 V575+12,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
54 V455+16,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
540 V575+23,3 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
541 V446+21,3 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
542 V446+32,3 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
543 V446+14,3 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
544 V713+33,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
545 V713+13,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
546 V713+22,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
547 V333+30,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
548 V333+16,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
549 V333+20,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
55 V418+13,3 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
550 V689+32,6 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
551 V689+20,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
552 V689+14,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
553 V841+22 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
554 V841+14 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
555 V841+31 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
556 V493+30,1 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
557 V493+22,1 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
558 V752+19,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
559 V752+13,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
56 V418+22,3 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
560 V752+29,4 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
561 V329+15,5 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
562 V329+29,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
563 V329+23,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
564 V503+14,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
565 V503+20,6 neg 2_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
566 V461+28 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
567 V461+14 neg 2_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
568 V461+21 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
57 V418+30,3 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
570 V322+ 15 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
571 V346+ 31,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
572 V374+ 28,1 neg 2_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
573 V381+ 27,3 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
575 V406+ 17,2 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
576 V413+ 24,3 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
577 V418+ 26,3 neg_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
578 V455+ 24,2 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
579 V505+ 29,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
58 V848+16,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
580 V510+ 24,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
581 V512+ 28,5 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
582 V717+ 20,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
583 V717+ 14,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
584 V717+ 29,6 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
585 V718+ 31 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
586 V718+ 20 neg_130419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
587 V718+15,5 neg 2_130419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
59 V848+32,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
6 V809+15,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
60 V848+22,1 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
61 V447+34,4 neg 2_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
62 V447+21,4 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
63 V447+14,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
64 V672+20,3 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
65 V672+13,3 neg 2_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
66 V672 30,3 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
67 V408 21,5 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
68 V408+17,5 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
69 V408+30,5 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
7 V849+20,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
70 V757+12,4 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
71 V757+32,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
72 V757+22,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
73 V380+14,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
74 V380+20,4 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
75 V506+32,6 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
76 V434 29,2 neg_080419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
77 V434 21,2 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
79 V313+14,3 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
8 V849+12,2 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
80 V313+31,3 neg_040419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
81 V313+23,3 neg_040419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
82 V692+23,2 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
83 V692+16,2 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
84 V692+30,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
85 V504+23 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
86 V504+15 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
87 V737+30,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
88 V737+16,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
89 V737+21,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
9 V849 +32,2 neg_080419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
90 V497+24,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
91 V497+32,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
92 V497+14,1 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
93 V666+21,4 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
94 V666+15,2 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
95 V357+20,4 neg_050419 2_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
96 V357+15,5 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
97 V357+30,5 neg_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
98 V468+30 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_NEG_mzML
99 V468+22 neg 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
1 V443 +22,5 pos_080419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
10 V526+21,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
100 V468+16 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
101 V627+13 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
102 V627+22,2 pos 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
103 V470+22,3 pos 2_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
104 V470+13,3 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
105 V665+30,6 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
106 V665+21,6 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
107 V665+12,6 pos 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
108 V338+24,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
109 V338+30,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
11 V526+31,4 pos_040419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
110 V338+15,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
111 V505+24,5 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
112 V505+15,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
113 V385+30,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
114 V385+22,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
115 V810+15,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
116 V810+32,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
117 V810+21,3 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
118 V403+14 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
119 V403+22 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
12 V337+22,1 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
120 V403+30 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
121 V384+16 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
122 V384+20 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
123 V384+30 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
124 V687+13 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
125 V687+21,3 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
126 V687+31,3 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
127 V301+22,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
128 V301+30,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
129 V301+13,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
13 V337+15,1 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
130 V704+31,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
131 V704+21,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
132 V704+16,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
133 V332+13,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
134 V332+20,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
135 V332+30,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
136 V433+23,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
137 V433+29,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
138 V433+13,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
139 V481+22,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
14 V337+30,1 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
140 V481+31,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
141 V481+14,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
142 V355+21,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
143 V355+13,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
144 V355+30,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
145 V309+21 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
146 V309+30 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
147 V309+16 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
148 V819+30,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
149 V819+23,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
15 V472 +16,1 pos_080419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
150 V819+14 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
151 V372+21,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
152 V372+31,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
153 V372+15,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
154 V417+30,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
155 V417+12,0 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
156 V417+19,4 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
157 V500+15,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
158 V404+15,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
159 V404+20,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
16 V472+30,6 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
160 V404+30,5 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
162 V475+15,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
163 V475+32,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
164 V648+12,4 pos 2_060419_Recal.mzML
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DESI_VMET2_POS_mzML
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DESI_VMET2_POS_mzML
571 V346+ 31,5 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
572 V374+ 28,1 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
573 V381+ 27,3 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
575 V406+ 17,2 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
576 V413+ 24,3 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
577 V418+ 26,3 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
578 V455+ 24,2 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
579 V505+ 29,6 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
58 V848+16,1 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
580 V510+ 24,5 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
581 V512+ 28,5 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
582 V717+ 20,6 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
583 V717+ 14,6 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
584 V717+ 29,6 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
585 V718+ 31 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
586 V718+ 20 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
587 V718+15,5 pos_130419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
59 V848+32,1 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
6 V809+15,2 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
60 V848+22,1 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
61 V447+34,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
62 V447+21,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
63 V447+14,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
64 V672+20,3 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
65 V672+13,3 pos 2_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
66 V672 30,3 pos_080419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
67 V408 21,5 pos_080419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
68 V408+17,5 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
69 V408+30,5 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
7 V849+20,2 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
70 V757+12,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
71 V757+32,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
72 V757+22,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
73 V380+14,4 pos 2_040419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
74 V380+20,4 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
75 V506+32,6 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
76 V434+29,2 pos_040419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
77 V434 21,2 pos_080419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
79 V313+14,3 pos_040419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
8 V849+12,2 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
80 V313+31,3 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
81 V313+23,3 pos_040419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
82 V692+23,2 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
83 V692+16,2 pos 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
84 V692+30,2 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
85 V504+23 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
86 V504+15 pos 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
87 V737+30,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
88 V737+16,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
89 V737+21,5 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
9 V849 +32,2 pos_080419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
90 V497+24,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
91 V497+32,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
92 V497+14,1 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
93 V666+21,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
94 V666+15,2 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
95 V357+20,4 pos_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
96 V357+15,5 pos 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
97 V357+30,5 pos_050419 2_Recal.mzML
FILES
DESI_VMET2_POS_mzML
98 V468+30 pos 2_050419_Recal.mzML
FILES
DESI_VMET2_POS_mzML
99 V468+22 pos 2_050419_Recal.mzML
FILES
DESI_VMET_NEG_mzML
001 pr492_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
002 pr426_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
005 pr554_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
006 q326_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
008 pr520_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
009 m38_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
012 m38_ftms neg2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
013 M71_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
016 pr412_ftms neg2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
018 q367_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
019 pr417_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
020 q379_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
022 ql003_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
023 pr414_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
024 q352_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
026 q361_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
028 m110_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
029 ql005_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
030 q379_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
032 pr480_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
035 m90_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
036 pr419_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
037 m88_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
038 q365_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
039 pr434_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
040 ml003_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
041 ml004_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
042 m74_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
043 q349_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
044 pr431_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
045 pr493_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
048 q322_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
049 m55_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
050 q291_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
051 q362_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
053 m47_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
055 m111_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
057 q370_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
059 pr585_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
061 pr426_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
064 pr490_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
066 m70_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
067 m81_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
068 p428_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
069 m88_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
070 pr560_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
071 m40_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
072 m72_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
073 m51_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
074 m42_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
075 pr585_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
076 pr491_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
077 m86_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
078 m99_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
080 m110_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
081 m82_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
083 m111_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
085 M79_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
089 PR544_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
090 Q355_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
091 PR548_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
092 Q287_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
094 Q352_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
095 Q324_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
096 M82_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
097 m67_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
098 q316_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
099 m99_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
100 pr491_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
102 q360_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
103 m106_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
105 m73_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
108 pr585_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
109 q362_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
111 q369_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
112 q373_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
115 q373_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
116 ql017_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
118 q371_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
119 q377_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
123 m64_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
124 m67_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
125 pr416_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
129 m40_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
131 PR527_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
132 M50_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
134 PR424_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
135 Q295_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
136 Q367_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
139 Q314_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
140 Q369_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
142 M102_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
143 PR417_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
145 M35_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
146 PR544_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
147 M39_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
149 M37_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
150 PR 503_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
151 Q378_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
152 M43_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
153 M67_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
154 Q378_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
157 PR416_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
161 Q322_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
164 Q373_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
165 Q307_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
166 M41_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
167 Q366_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
168 PR535_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
169 PR475_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
170 M64_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
171 M52_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
172 PR517_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
173 PR404_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
174 Q297_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
175 Q376_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
176 M94_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
177 M93_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
178 PR513_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
179 PR429_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
181 M39_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
185 Q378_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
186 QL001_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
187 Q285_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
188 Q375_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
189 M107_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
190 PR525_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
191 Q351_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
192 QL008_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
195 M50_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
196 QL013_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
197 Q348_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
199 M34_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
200 M70_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
201 Q313_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
202 M87_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
203 ML006_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
204 PR459_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
205 Q371_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
206 PR509_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
207 ML005_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
208 M34_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
209 M41_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
213 QL010_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
215 Q352_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
216 PR533_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
217 PR429_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
218 PR503_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
219 Q296_FTMS NEG 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
221 M51_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
222 Q376_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
224 PR548_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
226 M103_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
227 M38_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
229 PR509_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
230 ML007_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
231 Q376_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
232 M55_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
233 M99_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
234 Q37_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
235 PR463_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
236 M32_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
237 Q373_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
238 Q369_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
239 Q358_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
240 QL002_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
241 PR434_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
242 PR421_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
243 M65_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
245 Q324_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
248 QL005_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
249 PR419_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
250 Q359_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
253 PR547_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
257 QL006_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
258 PR480_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
259 PR545_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
260 Q296_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
262 M50_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
264 M86_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
265 PR404_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
266 QL012_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
267 Q371_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
268 m40_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
269 m79_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
270 ql013a_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
271 m87_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
272 pr525_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
274 pr519_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
277 ql001_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
279 pr509_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
280 m32_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
281 pr586_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
283 pr483_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
284 q377_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
285 m35_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
286 q349_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
287 q355_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
288 pr416_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
290 m64_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
291 m39_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
292 m106_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
293 pr430_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
295 pr491_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
296 m76_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
297 q370_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
298 pr424_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
299 q285_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
300 m103_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
302 q355_ftms neg (2)_Recal.mzML
FILES
DESI_VMET_NEG_mzML
303 m80_ftms neg (2)_Recal.mzML
FILES
DESI_VMET_NEG_mzML
304 pr426_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
305 m107_ftms neg (2)_Recal.mzML
FILES
DESI_VMET_NEG_mzML
306 pr593_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
307 pr497_ftms neg (2)_Recal.mzML
FILES
DESI_VMET_NEG_mzML
308 q292_ftms neg (2)_Recal.mzML
FILES
DESI_VMET_NEG_mzML
309 q305_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
311 ql006C_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
313 m80_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
315 q353_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
316 ql003a_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
318 q355_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
319 pr417_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
322 q370_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
323 q326_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
325 pr480_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
327 m66_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
328 m70_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
330 M93_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
331 M98_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
332 Q533_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
334 Q376_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
337 M102_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
340 Q371_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
341 M42_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
342 PR459_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
343 M81_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
344 q377_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
345 pr418_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
346 m84_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
348 q362_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
350 pr476_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
351 q309_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
352 pr593_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
353 m47_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
354 m76_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
356 q363_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
357 pr584_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
358 m78_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
359 pr434_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
360 ql016_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
361 pr422_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
362 q324_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
363 pr517_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
365 m103_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
366 m38_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
367 m71_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
369 pr431_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
370 pr490_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
371 pr501_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
372 q370_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
374 m30_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
375 pr463_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
376 m80_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
377 pr419_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
378 pr492_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
380 m102_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
383 m72_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
384 ml023_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
386 pr476_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
388 ml023_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
389 m82_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
390 m43_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
391 m37_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
394 q294_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
395 m86_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
396 m66_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
397 pr404_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
399 q359_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
400 pr531_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
402 pr423_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
404 m66_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
406 m107_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
407 pr475_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
408 pr533_ftms neg 3_Recal.mzML
FILES
DESI_VMET_NEG_mzML
409 ql001_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
410 pr412_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
411 m79_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
412 m76_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
413 m41_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
416 q375_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
417 m52_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
419 PR520_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
420 PR499_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
421 Q326_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
422 PR560_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
423 QL001_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
424 PR525_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
425 PR492_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
429 M81_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
432 PR466_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
433 PR404_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
434 ML011_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
435 Q321_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
437 M41_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
438 M90_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
439 PR418_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
441 M106_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
444 M71_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
445 Q369_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
447 M80_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
448 Q368_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
449 M52_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
452 ML011_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
453 ML007_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
454 q307_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
455 pr522_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
457 m65_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
458 m42_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
460 pr422_ftms neg2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
461 pr429_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
462 m47_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
463 pr593_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
464 q297_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
465 m74_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
466 m90_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
467 q349_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
469 q376_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
470 m50_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
471 ml006_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
472 pr585_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
473 q307_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
475 q294_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
476 ql012_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
477 q358_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
479 pr423_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
480 m31_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
481 q365_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
482 m37_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
483 pr466_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
484 pr581_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
485 m64_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
486 pr430_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
487 M50_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
488 QL002_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
490 Q379_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
491 PR457_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
492 M110_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
493 Q294_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
494 M74_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
495 PR548_FTMS NEG2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
497 Q365_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
499 Q355_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
500 PR418_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
503 Q297_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
506 V126_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
507 Q369_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
510 PR475_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
512 PR535_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
513 M93_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
514 Q379_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
515 Q334_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
518 PR417_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
519 QL014_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
520 PR424_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
521 PR476_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
522 PR586_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
523 PR491_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
524 PR496_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
526 M73_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
528 M40_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
530 PR497_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
531 M106_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
532 PR496_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
534 M51_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
535 Q321_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
537 Q321_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
538 M52_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
540 M35_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
541 M42_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
544 PR476_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
545 Q379_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
549 QL008_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
550 M43_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
551 PR586_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
552 M39_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
553 M37_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
554 PR501_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
555 PR423_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
556 ML004_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
557 M38_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
559 Q366_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
561 QL011_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
562 PR416_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
564 PR522_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
566 Q309_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
567 Q371_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
568 PR535_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
569 PR544_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
571 Q365_FTMS NEG_Recal.mzML
FILES
DESI_VMET_NEG_mzML
577 pr533_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
578 m84_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
581 q314_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
583 m103_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
584 q353_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
586 m87_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
587 q360_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
588 pr414_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
590 pr428_FTMS neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
591 m86_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
594 m79_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
596 q322_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
597 q353_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
599 q360_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
600 pr513_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
602 m102_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
603 pr581_FTMS neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
604 pr582_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
606 m82_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
607 q366_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
608 pr434_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
609 pr522_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
610 m52_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
612 q368_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
613 ql003_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
614 pr582_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
615 m42_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
616 q352_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
617 q313_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
618 ql010_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
619 ql011_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
620 q309_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
622 m67_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
624 q358_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
627 m31_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
628 q370_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
629 m78_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
630 m94_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
631 m70_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
632 m106_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
633 pr490_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
636 pr499_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
638 q359_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
639 pr423_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
640 pr501_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
642 pr422_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
645 pr520_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
646 ql010b_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
647 pr428_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
649 ql 104_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
650 ml025a_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
652 pr493_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
653 qc013 31 6_ftms neg_Recal.mzML
FILES
DESI_VMET_NEG_mzML
654 qc013 28 6_ftms neg 2_Recal.mzML
FILES
DESI_VMET_NEG_mzML
655 m65_ftms neg_Recal.mzML
FILES
DESI_VMET_POS_mzML
001 pr492_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
002 pr426_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
005 pr554_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
006 q326_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
008 pr520_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
009 m38_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
012 m38_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
013 M71_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
016 pr412_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
018 q367_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
019 pr417_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
020 q379_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
022 ql003_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
023 pr414_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
024 q352_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
026 q361_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
028 m110_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
029 ql005_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
030 q379_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
032 pr480_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
035 m90_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
036 pr419_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
037 m88_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
038 q365_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
039 pr434_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
040 ml003_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
041 ml004_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
042 m74_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
043 q349_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
044 pr431_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
045 pr493_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
048 q322_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
049 m55_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
050 q291_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
051 q362_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
053 m47_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
055 m111_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
057 q370_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
059 pr585_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
061 pr426_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
064 pr490_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
066 m70_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
067 m81_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
068 p428_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
069 m88_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
070 pr560_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
071 m40_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
072 m72_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
073 m51_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
074 m42_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
075 pr585_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
076 pr491_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
077 m86_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
078 m99_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
080 m110_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
081 m82_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
083 m111_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
085 M79_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
089 PR544_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
090 Q355_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
091 PR548_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
092 Q287_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
094 Q352_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
095 Q324_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
096 M82_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
097 m67_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
098 q316_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
099 m99_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
100 pr491_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
102 q360_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
103 m106_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
105 m73_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
108 pr585_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
109 q362_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
111 q369_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
112 q373_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
115 q373_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
116 ql017_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
118 q371_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
119 q377_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
123 m64_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
124 m67_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
125 pr416_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
129 m40_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
131 PR527_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
132 M50_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
134 PR424_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
135 Q295_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
136 Q367_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
139 Q314_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
140 Q369_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
142 M102_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
143 PR417_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
145 M35_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
146 PR544_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
147 M39_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
149 M37_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
150 PR 503_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
151 Q378_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
152 M43_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
153 M67_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
154 Q378_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
157 PR416_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
161 Q322_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
164 Q373_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
165 Q307_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
166 M41_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
167 Q366_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
168 PR535_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
169 PR475_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
170 M64_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
171 M52_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
172 PR517_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
173 PR404_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
174 Q297_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
175 Q376_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
176 M94_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
177 M93_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
178 PR513_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
179 PR429_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
181 M39_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
185 Q378_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
186 QL001_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
187 Q285_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
188 Q375_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
189 M107_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
190 PR525_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
191 Q351_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
192 QL008_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
195 M50_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
196 QL013_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
197 Q348_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
199 M34_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
200 M70_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
201 Q313_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
202 M87_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
203 ML006_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
204 PR459_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
205 Q371_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
206 PR509_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
207 ML005_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
208 M34_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
209 M41_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
213 QL010_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
215 Q352_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
216 PR533_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
217 PR429_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
218 PR503_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
219 Q296_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
221 M51_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
222 Q376_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
224 PR548_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
226 M103_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
227 M38_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
229 PR509_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
230 ML007_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
231 Q376_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
232 M55_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
233 M99_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
234 Q37_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
235 PR463_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
236 M32_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
237 Q373_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
238 Q369_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
239 Q358_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
240 QL002_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
241 PR434_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
242 PR421_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
243 M65_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
245 Q324_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
248 QL005_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
249 PR419_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
250 Q359_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
253 PR547_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
257 QL006_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
258 PR480_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
259 PR545_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
260 Q296_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
262 M50_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
264 M86_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
265 PR404_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
266 QL012_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
267 Q371_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
268 m40_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
269 m79_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
270 ql013a_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
271 m87_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
272 pr525_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
274 pr519_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
277 ql001_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
279 pr509_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
280 m32_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
281 pr586_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
283 pr483_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
284 q377_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
285 m35_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
286 q349_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
287 q355_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
288 pr416_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
290 m64_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
291 m39_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
292 m106_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
293 pr430_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
295 pr491_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
296 m76_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
297 q370_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
298 pr424_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
299 q285_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
300 m103_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
302 q355_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
303 m80_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
304 pr426_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
305 m107_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
306 pr593_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
307 pr497_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
308 q292_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
309 q305_ftms pos (2)_Recal.mzML
FILES
DESI_VMET_POS_mzML
311 ql006C_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
313 m80_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
315 q353_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
316 ql003a_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
318 q355_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
319 pr417_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
322 q370_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
323 q326_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
325 pr480_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
327 m66_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
328 m70_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
330 M93_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
331 M98_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
332 Q533_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
334 Q376_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
337 M102_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
340 Q371_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
341 M42_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
342 PR459_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
343 M81_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
344 q377_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
345 pr418_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
346 m84_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
348 q362_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
350 pr476_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
351 q309_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
352 pr593_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
353 m47_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
354 m76_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
356 q363_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
357 pr584_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
358 m78_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
359 pr434_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
360 ql016_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
361 pr422_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
362 q324_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
363 pr517_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
365 m103_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
366 m38_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
367 m71_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
369 pr431_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
370 pr490_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
371 pr501_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
372 q370_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
374 m30_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
375 pr463_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
376 m80_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
377 pr419_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
378 pr492_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
380 m102_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
383 m72_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
384 ml023_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
386 pr476_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
388 ml023_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
389 m82_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
390 m43_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
391 m37_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
394 q294_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
395 m86_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
396 m66_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
397 pr404_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
399 q359_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
400 pr531_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
402 pr423_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
404 m66_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
406 m107_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
407 pr475_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
408 pr533_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
409 ql001_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
410 pr412_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
411 m79_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
412 m76_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
413 m41_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
416 q375_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
417 m52_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
419 PR520_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
420 PR499_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
421 Q326_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
422 PR560_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
423 QL001_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
424 PR525_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
425 PR492_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
429 M81_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
432 PR466_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
433 PR404_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
434 ML011_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
435 Q321_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
437 M41_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
438 M90_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
439 PR418_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
441 M106_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
444 M71_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
445 Q369_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
447 M80_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
448 Q368_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
449 M52_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
452 ML011_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
453 ML007_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
454 q307_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
455 pr522_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
457 m65_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
458 m42_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
460 pr422_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
461 pr429_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
462 m47_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
463 pr593_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
464 q297_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
465 m74_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
466 m90_ftms pos 3_Recal.mzML
FILES
DESI_VMET_POS_mzML
467 q349_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
469 q376_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
470 m50_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
471 ml006_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
472 pr585_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
473 q307_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
475 q294_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
476 ql012_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
477 q358_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
479 pr423_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
480 m31_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
481 q365_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
482 m37_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
483 pr466_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
484 pr581_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
485 m64_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
486 pr430_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
487 M50_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
488 QL002_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
490 Q379_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
491 PR457_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
492 M110_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
493 Q294_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
494 M74_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
495 PR548_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
497 Q365_FTMS POS3_Recal.mzML
FILES
DESI_VMET_POS_mzML
499 Q355_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
500 PR418_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
503 Q297_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
506 V126_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
507 Q369_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
510 PR475_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
512 PR535_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
513 M93_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
514 Q379_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
515 Q334_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
518 PR417_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
519 QL014_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
520 PR424_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
521 PR476_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
522 PR586_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
523 PR491_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
524 PR496_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
526 M73_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
528 M40_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
530 PR497_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
531 M106_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
532 PR496_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
535 Q321_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
537 Q321_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
538 M52_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
540 M35_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
541 M42_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
544 PR476_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
545 Q379_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
549 QL008_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
550 M43_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
551 PR586_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
552 M39_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
553 M37_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
554 PR501_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
555 PR423_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
556 ML004_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
557 M38_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
559 Q366_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
561 QL011_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
562 PR416_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
564 PR522_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
566 Q309_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
567 Q371_FTMS POS2_Recal.mzML
FILES
DESI_VMET_POS_mzML
568 PR535_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
569 PR544_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
571 Q365_FTMS POS_Recal.mzML
FILES
DESI_VMET_POS_mzML
577 pr533_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
578 m84_FTMS pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
581 q314_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
583 m103_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
584 q353_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
586 m87_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
587 q360_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
588 pr414_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
590 pr428_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
591 m86_FTMS pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
594 m79_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
596 q322_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
597 q353_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
599 q360_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
600 pr513_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
602 m102_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
603 pr581_FTMS pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
604 pr582_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
606 m82_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
607 q366_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
608 pr434_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
609 pr522_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
610 m52_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
612 q368_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
613 ql003_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
614 pr582_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
615 m42_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
616 q352_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
617 q313_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
618 ql010_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
619 ql011_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
620 q309_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
622 m67_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
624 q358_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
627 m31_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
628 q370_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
629 m78_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
630 m94_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
631 m70_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
632 m106_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
633 pr490_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
636 pr499_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
638 q359_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
639 pr423_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
640 pr501_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
642 pr422_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
645 pr520_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
646 ql010b_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
647 pr428_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
649 ql 104_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
650 ml025a_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
652 pr493_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
653 qc013 31 6_ftms pos 2_Recal.mzML
FILES
DESI_VMET_POS_mzML
654 qc013 28 6_ftms pos_Recal.mzML
FILES
DESI_VMET_POS_mzML
655 m65_ftms pos_Recal.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1E1_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD01.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD02.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD03.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD04.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD05.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD06.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD07.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD08.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD09.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD10.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD11.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD12.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD13.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD14.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD15.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD16.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD17.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD18.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD19.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD20.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD21.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD22.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD23.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD24.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD25.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD26.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD27.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD28.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD29.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD30.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD31.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD32.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD33.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD34.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD35.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD36.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD37.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD38.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD39.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD40.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD41.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD42.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD43.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD44.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD45.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD46.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD47.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD48.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD49.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD50.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD51.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD52.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD53.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD54.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD55.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD56.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD57.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD58.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD59.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD60.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD61.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD62.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD63.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD64.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD65.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD66.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD67.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD68.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD69.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD70.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD71.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD72.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD73.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD74.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD75.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD76.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD77.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD78.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD79.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD80.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD81.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD82.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD83.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD84.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD85.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD86.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD87.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD88.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD89.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD90.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD91.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_B1SRD92.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W01.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W02.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W05.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W06.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W08.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W09.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W14.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W15.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W18.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W20.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W21.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W22.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W26.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W27.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W28.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W30.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W32.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W33.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W34.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W38.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W41.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W42.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W43.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W44.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W45.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W46.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W49.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W50.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W51.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W52.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W53.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W56.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W57.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W61.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W63.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W65.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W67.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W69.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W73.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W76.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W78.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W79.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W80.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W81.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W82.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W85.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W86.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W87.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W88.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W89.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W90.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W91.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W92.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W94.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T1W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W01.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W03.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W05.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W09.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W10.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W13.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W14.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W16.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W17.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W19.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W20.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W21.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W22.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W26.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W27.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W29.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W32.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W33.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W37.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W38.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W41.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W42.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W45.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W51.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W52.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W53.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W57.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W61.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W62.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W64.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W65.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W66.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W69.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W70.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W74.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W75.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W77.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W78.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W81.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W82.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W85.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W86.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W87.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W88.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W91.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T2W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W01.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W05.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W06.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W07.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W08.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W09.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W13.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W14.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W15.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W16.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W17.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W18.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W19.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W20.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W21.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W22.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W26.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W30.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W31.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W32.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W33.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W34.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W38.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W39.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W42.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W43.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W44.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W46.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W49.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W50.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W51.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W52.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W53.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W55.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W56.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W57.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W58.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W64.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W66.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W67.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W68.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W69.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W70.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W75.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W77.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W79.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W80.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W82.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W85.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W86.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W87.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W88.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W89.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W90.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W91.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W92.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W93.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W94.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T3W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W01.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W02.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W03.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W04.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W06.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W09.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W10.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W13.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W16.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W20.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W21.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W22.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W25.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W27.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W29.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W30.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W31.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W32.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W33.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W34.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W37.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W38.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W39.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W41.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W44.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W46.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W49.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W50.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W52.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W53.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W55.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W56.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W57.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W61.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W62.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W63.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W64.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W66.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T4W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W70.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T5W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T6W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W22.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T7W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W47_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W48_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W59_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W60_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W71_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W72_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W83_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W84_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W95_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T8W96_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W11_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W12_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W23_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W24_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W35_MR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W36_SR.mzML
FILES
Swabs_HNEG_mzML
MacIntryre_HNEG_CPCTOF02_T9W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1E1_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD01.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD02.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD03.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD04.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD05.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD06.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD07.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD08.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD09.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD10.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD11.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD12.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD13.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD14.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD15.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD16.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD17.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD18.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD19.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD20.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD21.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD22.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD23.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD24.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD25.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD26.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD27.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD28.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD29.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD30.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD31.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD32.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD33.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD34.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD35.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD36.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD37.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD38.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD39.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD40.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD41.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD42.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD43.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD44.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD45.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD46.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD47.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD48.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD49.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD50.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD51.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD52.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD53.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD54.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD55.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD56.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD57.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD58.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD59.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD60.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD61.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD62.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD63.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD64.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD65.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD66.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD67.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD68.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD69.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD70.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD71.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD72.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD73.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD74.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD75.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD76.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD77.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD78.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD79.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD80.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD81.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD82.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD83.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD84.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD85.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD86.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD87.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD88.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD89.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD90.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD91.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_B1SRD92.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W01.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W02.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W05.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W06.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W08.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W09.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W14.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W15.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W18.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W20.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W21.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W22.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W26.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W27.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W28.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W30.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W32.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W33.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W34.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W38.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W41.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W42.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W43.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W44.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W45.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W46.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W49.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W50.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W51.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W53.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W54.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W56.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W57.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W61.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W63.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W65.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W67.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W69.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W73.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W76.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W78.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W79.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W80.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W81.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W82.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W85.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W86.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W87.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W88.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W89.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W90.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W91.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W92.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W94.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T1W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W01.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W03.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W05.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W09.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W10.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W13.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W14.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W16.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W17.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W18.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W19.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W20.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W21.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W22.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W26.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W27.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W29.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W32.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W33.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W37.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W38.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W41.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W42.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W44.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W45.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W51.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W52.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W53.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W57.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W61.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W62.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W64.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W65.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W66.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W69.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W70.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W74.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W75.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W77.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W78.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W79.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W81.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W82.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W85.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W86.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W87.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W88.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W91.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T2W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W01.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W04.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W05.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W06.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W07.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W08.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W09.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W10.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W13.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W14.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W15.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W16.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W17.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W18.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W19.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W20.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W21.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W22.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W26.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W30.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W31.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W32.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W33.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W34.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W38.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W39.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W42.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W43.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W44.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W46.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W49.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W50.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W51.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W52.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W53.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W55.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W56.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W57.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W58.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W64.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W66.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W67.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W68.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W69.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W70.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W74.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W75.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W77.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W79.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W80.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W82.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W85.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W86.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W87.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W88.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W89.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W90.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W91.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W92.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W93.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W94.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T3W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W01.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W02.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W03.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W04.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W06.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W09.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W10.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W13.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W16.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W20.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W21.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W22.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W25.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W27.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W28.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W29.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W30.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W31.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W32.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W33.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W34.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W37.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W38.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W39.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W41.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W44.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W46.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W49.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W50.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W52.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W53.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W54.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W55.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W56.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W57.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W61.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W62.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W63.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W64.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W66.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T4W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W70.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T5W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T6W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T7W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W47_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W48_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W59_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W60_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W71_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W72_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W83_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W84_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W95_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T8W96_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W11_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W12_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W14.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W23_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W24_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W35_MR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W36_SR.mzML
FILES
Swabs_LNEG_mzML
MacIntyre_LNEG_CPCTOF02_T9W47_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1E1_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD01.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD02.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD03.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD04.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD05.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD06.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD07.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD08.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD09.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD10.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD11.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD12.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD13.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD14.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD15.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD16.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD17.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD18.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD19.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD20.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD21.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD22.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD23.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD24.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD25.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD26.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD27.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD28.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD29.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD30.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD31.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD32.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD33.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD34.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD35.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD36.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD37.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD38.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD39.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD40.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD41.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD42.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD43.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD44.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD45.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD46.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD47.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD48.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD49.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD50.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD51.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD52.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD53.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD54.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD55.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD56.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD57.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD58.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD59.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD60.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD61.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD62.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD63.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD64.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD65.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD66.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD67.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD68.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD69.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD70.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD71.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD72.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD73.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD74.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD75.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD76.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD77.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD78.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD79.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD80.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD81.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD82.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD83.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD84.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD85.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD86.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD87.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD88.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD89.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD90.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD91.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_B1SRD92.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W01.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W02.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W05.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W08.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W09.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W11_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W12_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W14.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W15.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W18.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W20.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W21.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W22.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W23_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W24_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W26.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W27.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W28.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W30.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W32.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W33.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W34.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W35_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W36_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W38.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W41.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W42.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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FILES
Swabs_LPOS_mzML
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FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W47_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W48_SR.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T1W85.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W41.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W42.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W44.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W45.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W47_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W48_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W51.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W52.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W53.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W57.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W59_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W60_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W61.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W62.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W64.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W65.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W66.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W69.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W70.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W71_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W72_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W74.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W75.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W77.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W78.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W79.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W81.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W82.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W83_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W84_SR.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W85.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W86.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W87.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W88.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W91.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W95_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T2W96_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W01.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W04.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W07.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W08.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W09.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W12_SR.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W13.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W14.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W15.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W16.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W17.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W18.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W19.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W20.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W21.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W22.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W23_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W24_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W26.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W30.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W31.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W32.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W36_SR.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W37.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W38.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W39.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W44.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W46.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W47_MR.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W48_SR.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W50.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W51.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W52.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W53.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W55.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W56.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W57.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W60_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W64.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W66.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W67.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W70.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W74.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W77.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W80.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W82.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W83_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W84_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W85.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W86.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W89.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W90.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W91.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W92.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W93.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W94.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W95_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T3W96_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W01.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W02.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W03.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W04.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W06.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W09.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W10.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W11_MR.mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W12_SR.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T4W37.mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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Swabs_LPOS_mzML
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FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W12_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W23_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W24_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W35_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W36_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W47_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W48_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W59_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W60_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W71_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W72_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W83_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W84_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W95_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T8W96_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W11_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W12_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W23_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W24_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W35_MR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W36_SR.mzML
FILES
Swabs_LPOS_mzML
MacIntyre_LPOS_CPCTOF01_T9W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1E1_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD01.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD02.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD03.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD04.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD05.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD06.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD07.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD08.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD09.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD10.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD11.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD12.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD13.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD14.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD15.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD16.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD17.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD18.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD19.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD20.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD21.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD22.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD23.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD24.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD25.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD26.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD27.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD28.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD29.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD30.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD31.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD32.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD33.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD34.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD35.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD36.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD37.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD38.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD39.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD40.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD41.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD42.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD43.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD44.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD45.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD46.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD47.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD48.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD49.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD50.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD51.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD52.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD53.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD54.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD55.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD56.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD57.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD58.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD59.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD60.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD61.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD62.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD63.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD64.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD65.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD66.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD67.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD68.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD69.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD70.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD71.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD72.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD73.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD74.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD75.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD76.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD77.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD78.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD79.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD80.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD81.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD82.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD83.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD84.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD85.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD86.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD87.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD88.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD89.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD90.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD91.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_B1SRD92.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W01.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W02.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W05.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W06.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W08.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W09.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W14.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W15.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W18.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W20.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W21.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W22.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W26.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W27.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W28.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W30.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W32.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W33.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W34.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W38.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W41.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W42.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W43.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W44.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W45.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W46.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W49.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W50.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W51.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W52.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W53.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W56.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W57.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W61.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W63.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W65.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W67.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W69.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W73.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W76.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W78.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W79.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W80.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W81.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W82.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W85.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W86.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W87.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W88.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W89.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W90.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W91.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W92.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W94.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T1W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W01.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W03.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W05.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W09.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W10.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W13.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W14.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W16.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W17.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W18.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W19.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W20.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W21.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W22.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W26.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W27.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W29.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W32.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W33.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W37.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W38.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W41.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W42.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W44.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W45.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W51.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W52.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W53.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W57.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W61.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W62.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W64.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W65.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W66.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W69.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W70.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W74.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W75.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W77.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W78.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W79.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W81.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W82.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W85.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W86.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W87.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W88.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W91.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T2W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W01.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W04.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W05.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W06.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W07.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W08.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W09.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W13.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W14.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W15.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W16.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W17.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W18.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W19.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W20.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W21.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W22.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W26.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W30.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W31.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W32.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W33.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W34.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W37.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W38.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W39.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W42.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W43.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W44.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W46.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W49.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W50.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W51.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W52.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W53.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W55.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W56.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W57.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W58.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W64.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W66.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W67.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W68.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W69.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W70.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W74.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W75.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W77.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W79.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W80.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W82.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W85.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W86.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W87.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W88.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W89.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W90.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W91.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W92.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W93.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W94.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T3W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W01.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W02.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W03.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W04.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W06.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W09.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W10.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W13.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W16.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W20.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W21.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W22.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W25.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W27.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W29.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W30.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W31.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W32.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W33.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W34.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W37.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W38.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W39.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W41.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W44.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W46.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W49.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W50.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W52.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W53.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W54.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W55.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W56.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W57.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W61.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W62.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W63.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W64.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W66.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T4W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T5W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T6W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T7W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W47_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W48_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W59_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W60_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W71_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W72_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W83_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W84_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W95_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T8W96_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W11_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W12_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W23_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W24_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W35_MR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W36_SR.mzML
FILES
Swabs_RNEG_mzML
MacIntyre_RNEG_CPCTOF02_T9W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1E1_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD01.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD02.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD03.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD04.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD05.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD06.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD07.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD08.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD09.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD10.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD11.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD12.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD13.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD14.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD15.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD16.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD17.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD18.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD19.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD20.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD21.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD22.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD23.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD24.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD25.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD26.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD27.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD28.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD29.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD30.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD31.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD32.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD33.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD34.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD35.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD36.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD37.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD38.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD39.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD40.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD41.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD42.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD43.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD44.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD45.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD46.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD47.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD48.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD49.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD50.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD51.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD52.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD53.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD54.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD55.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD56.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD57.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD58.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD59.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD60.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD61.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD62.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD63.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD64.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD65.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD66.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD67.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD68.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD69.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD70.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD71.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD72.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD73.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD74.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD75.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD76.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD77.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD78.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD79.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD80.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD81.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD82.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD83.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD84.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD85.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD86.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD87.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD88.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD89.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD90.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD91.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_B1SRD92.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W01.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W02.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W05.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W08.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W09.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W14.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W15.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W18.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W20.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W21.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W22.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W26.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W27.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W28.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W30.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W32.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W33.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W34.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W38.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W41.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W42.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W43.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W44.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W45.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W46.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W49.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W50.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W51.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W52.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W53.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W56.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W57.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W61.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W63.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W65.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W67.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W69.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W73.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W76.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W78.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W79.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W80.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W81.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W82.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W85.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W86.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W87.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W88.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W89.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W91.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W92.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W94.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T1W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W01.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W03.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W05.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W09.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W10.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W13.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W14.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W16.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W17.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W18.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W19.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W20.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W21.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W22.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W26.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W27.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W29.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W32.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W33.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W37.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W38.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W41.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W42.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W44.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W45.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W51.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W52.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W53.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W57.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W61.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W62.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W64.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W65.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W66.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W69.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W70.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W74.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W75.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W77.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W78.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W79.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W81.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W82.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W85.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W86.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W87.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W88.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W91.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T2W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W01.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W04.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W05.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W06.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W07.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W08.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W09.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W13.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W14.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W15.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W16.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W17.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W18.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W19.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W20.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W21.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W22.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W26.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W30.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W31.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W32.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W33.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W34.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W37.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W38.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W39.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W42.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W43.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W44.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W46.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W49.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W50.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W51.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W52.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W53.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W55.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W56.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W57.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W58.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W64.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W66.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W67.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W68.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W69.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W70.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W74.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W75.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W77.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W79.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W80.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W82.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W85.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W86.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W87.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W88.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W89.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W90.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W91.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W92.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W93.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W94.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T3W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W01.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W02.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W03.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W04.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W06.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W09.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W10.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W13.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W16.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W20.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W21.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W22.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W25.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W27.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W29.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W30.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W31.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W32.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W33.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W34.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W37.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W38.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W39.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W41.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W44.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W46.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W49.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W50.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W52.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W53.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W54.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W55.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W56.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W57.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W61.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W62.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W63.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W66.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T4W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T5W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T6W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W35_MR.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 92%|█████████▏| 1523/1662 [2:56:52<1:07:14, 29.02s/it]
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T7W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W47_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W48_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W59_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W60_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W71_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W72_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W83_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W84_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W95_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T8W96_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W11_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W12_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W23_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W24_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W35_MR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W36_SR.mzML
FILES
Swabs_RPOS_mzML
MacIntyre_RPOS_CPCTOF01_T9W47_MR.mzML
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_BioSamples accession
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Subject Identifier
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Samples_Term Source REF.16
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Protocol REF.2
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
IGNORED:  Samples_Cerclage Presence
IGNORED:  Samples_Unit.3
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Term Accession Number.16
IGNORED:  Samples_Outcome
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
IGNORED:  Samples_Cerclage Insertion
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Term Source REF.10
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_Gestation delivery
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Samples_Cerclage Material
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Unit.5
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Unit.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Gestational Age
IGNORED:  Samples_Timepoint
IGNORED:  Samples_PTB categorized
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Body Mass Index
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Column model
IGNORED:  Samples_Ethnicity
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 340
Returning 3854 rows!
Added 3854 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS718
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-S QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
HPOS
GramCov_HPOS_ToF08_B1SRD01.mzML
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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DERIVED_FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  row_id
IGNORED:  Samples_Term Source REF.12
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Is Descendant
IGNORED:  extension
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IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.17
IGNORED:  Samples_Term Source REF.17
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Samples_Condition
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_IFI27
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_SPATS2L
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.18
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Mortality (COVID only)
IGNORED:  Samples_Term Source REF.9
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IGNORED:  Assay_Post Extraction
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Guard column
IGNORED:  Samples_Unnamed*
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
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IGNORED:  Samples_Creatinine Concentration
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Unit.2
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IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Term Source REF.18
IGNORED:  Assay_Derivatization
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Samples_Term Source REF.11
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Samples_Delay to freezer storage
IGNORED:  Samples_ITU admission (COVID only)
IGNORED:  Samples_Sample Collection
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Term Accession Number.16
IGNORED:  filename_lower
IGNORED:  Samples_Term Accession Number.10
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_RSAD2 (viperin)
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1259 rows!
Added 1259 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7237
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX X500R QTOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Technical replicate
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Query protein
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Dialysis replicate
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Dialysis chamber
IGNORED:  Samples_Metabolite pool
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_FIA Instrument
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 10216
Returning 2719 rows!
Added 2719 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7260
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7324
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G1 HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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8SB_MGSO4_16h_3a.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Sample Name
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Number of rows removed due to not enough metadata: 0
Returning 108 rows!
Added 108 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7370
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS74
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7424
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7438
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1531/1662 [3:00:57<29:16, 13.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1532/1662 [3:01:01<23:04, 10.65s/it]
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 582 rows!
Added 582 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS75
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5975C MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
FILES
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FILES
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FILES
x_FSFA_HL_GC_A14B_2.CDF
FILES
x_FSFA_HL_GC_A14C_1.CDF
FILES
x_FSFA_HL_GC_A14C_2.CDF
FILES
x_FSFA_HL_GC_A21A_1.CDF
FILES
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FILES
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7519
Request successful!
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Returning 28 rows!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1533/1662 [3:01:05<18:15,  8.49s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1534/1662 [3:01:08<14:51,  6.96s/it]
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7533
Request successful!
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Added 26 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7584
Request successful!
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IGNORED:  Assay_Scan m/z range/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 92%|█████████▏| 1535/1662 [3:01:12<13:08,  6.21s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Samples_olfactory function
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 94 rows!
Added 94 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7603
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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NEG
A1.raw
FILES
RAW_FILES
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A2.raw
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A3.raw
FILES
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A4.raw
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7623
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7670
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS771
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
  Waters Xevo G2-S Tof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
NEG_Orbitrap_GreenTea_Blankn01.mzML
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NEG_Orbitrap_GreenTea_Blankn02.mzML
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NEG_Orbitrap_GreenTea_Blankn03.mzML
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NEG_ToF_GreenTea_Blankn01.mzXML
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NEG_ToF_GreenTea_Blankn07.mzXML
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NEG_ToF_GreenTea_Blankn08.mzXML
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NEG_ToF_GreenTea_QCn01.mzXML
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NEG_ToF_GreenTea_QCn03.mzXML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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FILES
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POS_ToF_GreenTea_Blankn07.mzXML
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POS_ToF_GreenTea_QCn01.mzXML
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POS_ToF_GreenTea_QCn02.mzXML
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POS_ToF_GreenTea_QCn03.mzXML
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POS_ToF_GreenTea_QCn04.mzXML
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POS_ToF_GreenTea_QCn05.mzXML
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POS_ToF_GreenTea_S07n02.mzXML
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POS_ToF_GreenTea_S07n03.mzXML
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POS_ToF_GreenTea_S08n02.mzXML
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POS_ToF_GreenTea_S09n02.mzXML
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POS_ToF_GreenTea_S09n03.mzXML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Geographical origin
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Label
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Spiking level
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Spiking mix
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Assay_Injection order
Number of rows removed due to not enough metadata: 24
Returning 115 rows!
Added 115 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7736
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
neg
1.raw
FILES
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10.raw
FILES
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11.raw
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3.raw
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4.raw
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5.raw
FILES
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7.raw
FILES
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neg
8.raw
FILES
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9.raw
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QC1-3.raw
FILES
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FILES
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QC1-5.raw
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1540/1662 [3:01:29<08:39,  4.26s/it]
 93%|█████████▎| 1541/1662 [3:01:30<06:36,  3.28s/it]
IGNORED:  Is Fluid
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Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7739
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7753
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Post Extraction/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1542/1662 [3:01:35<07:51,  3.93s/it]
 93%|█████████▎| 1543/1662 [3:01:36<06:09,  3.10s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1544/1662 [3:01:40<06:17,  3.20s/it]
IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 124 rows!
Added 124 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7807
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7808
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX Triple Quad 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7840
Request successful!
SampleCollectionMethod: ADDED!
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HumanPopulationDensity: ADDED!
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qiita_sample_name: ADDED!
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1545/1662 [3:01:47<08:24,  4.31s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1546/1662 [3:01:51<07:58,  4.13s/it]
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Returning 66 rows!
Added 66 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7866
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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Returning 70 rows!
Added 70 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7889
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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qiita_sample_name: ADDED!
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Fermentation_3_Inj_376.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Samples_Replicate
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_FIA Instrument
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 1181 rows!
Added 1181 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS795
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA12POSLAT20151009_GILL0115VW_MOUSE_HEART_20.mzML
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IGNORED:  Assay_Term Accession Number.20/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1548/1662 [3:02:15<14:34,  7.67s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1549/1662 [3:02:18<11:51,  6.30s/it]
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Number of rows removed due to not enough metadata: 0
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7986
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IonizationSourceAndPolarity:
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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74_1.cdf
FILES
75_1.cdf
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76_1.cdf
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77_1.cdf
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78_1.cdf
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79_1.cdf
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7_1.cdf
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_nutrient
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_growth rate
IGNORED:  Is Organ
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 126 rows!
Added 126 samples./app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1550/1662 [3:02:23<11:04,  5.93s/it]
 93%|█████████▎| 1551/1662 [3:02:24<08:07,  4.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 93%|█████████▎| 1552/1662 [3:02:28<08:03,  4.39s/it]
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8002
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8024
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Vion IMS QTof: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
Control_1.raw
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS804
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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FILES
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096N_InnoVoat_N2_Exp_IBER_38.RAW
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101_InnoVoat_N2_Exp_IBER_35.RAW/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:97: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = value['missing']
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:166: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df[key] = df.apply(lambda x: age_category(x['AgeInYears']) if x['NCBITaxonomy'] == "9606|Homo sapiens" else value['missing'], axis=1)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:190: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['TaxonID'] = df['NCBITaxonomy'].apply(lambda x: x.split('|')[0] if '|' in x else 'missing value')
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

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Number of rows removed due to not enough metadata: 0
Returning 182 rows!
Added 182 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8056
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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MassSpectrometer:
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IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Term Accession Number.1
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Number of rows removed due to not enough metadata: 0
Returning 556 rows!
Added 556 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS806
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS808
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ XL linear ion trap: missing value
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  nan: missing value
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  nan: missing value
FILES
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IGNORED:  Assay_Term Accession Number.5
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IGNORED:  Assay_Column model 2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▎| 1556/1662 [3:02:55<09:54,  5.61s/it]
IGNORED:  Samples_Location
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Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8090
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Samples_Term Accession Number.2/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▎| 1557/1662 [3:03:00<09:26,  5.39s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▎| 1558/1662 [3:03:04<08:30,  4.91s/it]
IGNORED:  Assay_Term Accession Number.1
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Number of rows removed due to not enough metadata: 0
Returning 140 rows!
Added 140 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8122
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap Fusion Lumos Tribrid: missing value
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8204
Request successful!
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Try using .loc[row_indexer,col_indexer] = value instead

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Returning 148 rows!
Added 148 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8285
Request successful!
SampleCollectionMethod: ADDED!
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Exercise
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Animal ID
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
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Number of rows removed due to not enough metadata: 20
Returning 203 rows!
Added 203 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS834
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.21
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1561/1662 [3:03:27<11:30,  6.84s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1562/1662 [3:03:30<09:35,  5.75s/it]
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  Assay_Term Accession Number.21
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
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IGNORED:  Assay_Term Source REF.11
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IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 248 rows!
Added 248 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8485
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
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ENVOEnvironmentBiome:
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Grazing stress
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
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IGNORED:  Assay_Sample Name
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IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8662
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
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YearOfAnalysis:
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MassSpectrometer:
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UBERONBodyPartName:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1563/1662 [3:03:39<11:01,  6.68s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1564/1662 [3:03:42<09:14,  5.65s/it]
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
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IGNORED:  Assay_Protocol REF
IGNORED:  keep
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IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 366 rows!
Added 366 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8677
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Agilent 5977B MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 9 rows!
Added 9 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8679
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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FILES
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FILES
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FILES
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Tissue
IGNORED:  Samples_Development stage
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Samples_Biological replicate
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1565/1662 [3:03:49<09:59,  6.18s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1566/1662 [3:03:55<09:34,  5.98s/it]
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 196 rows!
Added 196 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8682
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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POS_Ee28SXT_Tumor10.raw
FILES
RAW_FILES
POS
POS_Ee28SXT_Tumor11.raw
FILES
RAW_FILES
POS
POS_Ee28SXT_Tumor12.raw
FILES
RAW_FILES
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POS_Ee28SXT_Tumor2.raw
FILES
RAW_FILES
POS
POS_Ee28SXT_Tumor3.raw
FILES
RAW_FILES
POS
POS_Ee28SXT_Tumor4.raw
FILES
RAW_FILES
POS
POS_Ee28SXT_Tumor5.raw
FILES
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POS
POS_Ee28SXT_Tumor6.raw
FILES
RAW_FILES
POS
POS_Ee28SXT_Tumor7.raw
FILES
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POS_Ee28SXT_Tumor8.raw
FILES
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POS_Ee28SXT_Tumor9.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8697
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap XL: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
2019LZ023_REME_001_CHK_H4a_250ng.raw
FILES
RAW_FILES
2020MR001_MOLU_001_01_CHK_H5.raw
FILES
RAW_FILES
2020MR001_MOLU_002_01_CHK_H6.raw
FILES
RAW_FILES
2020MR001_MOLU_003_01_NonInf_H1a.raw
FILES
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2020MR001_MOLU_004_01_NonInf_H2.raw
FILES
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2020MR001_MOLU_005_01_NonInf_H3.raw
FILES
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2020MR030_MATA_007_01_HEK_Genomico_1.raw
FILES
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2020MR030_MATA_008_01_HEK_Subgenomico_1.raw
FILES
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2020MR030_MATA_009_01_HEK_Genomico_2.raw
FILES
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2020MR030_MATA_010_01_HEK_Subgenomico_2.raw
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2020MR030_MATA_011_01_HEK_Genomico_3.raw
FILES
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2020MR030_MATA_012_01_HEK_Subgenomico_3.raw
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2022MR008_MATA_007_Mock.raw
FILES
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2022MR008_MATA_008_Mock.raw
FILES
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2022MR008_MATA_009_01_Mock.raw
FILES
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2022MR008_MATA_010_01_CHIKV.raw
FILES
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2022MR008_MATA_011_01_CHIKV.raw
FILES
RAW_FILES
2022MR008_MATA_012_01_CHIKV.raw
IGNORED:  Samples_Host cell line
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Digested Ribonucleosides
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Infection
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_RNA (poly(A))
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1567/1662 [3:03:58<08:08,  5.14s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 94%|█████████▍| 1568/1662 [3:04:02<07:18,  4.66s/it]
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8735
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  AB SCIEX TripleTOF 5600+: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
MSMS_2_A_CE20_POS.mzML
FILES
MSMS_2_A_CE30_POS.mzML
FILES
MSMS_2_A_CES_POS.mzML
FILES
MSMS_2_E_CE20_POS.mzML
FILES
MSMS_2_E_CE30_POS.mzML
FILES
MSMS_2_E_CES_POS.mzML
FILES
MSMS_2_STUDY_POOL_CE20_POS.mzML
FILES
MSMS_2_STUDY_POOL_CE30_POS.mzML
FILES
MSMS_2_STUDY_POOL_CES_POS.mzML
FILES
MS_2_A_POS.mzML
FILES
MS_2_E_POS.mzML
FILES
MS_2_STUDY_POOL_POS.mzML
FILES
MS_A_POS.mzML
FILES
MS_B_POS.mzML
FILES
MS_C_POS.mzML
FILES
MS_D_POS.mzML
FILES
MS_E_POS.mzML
FILES
MS_F_POS.mzML
FILES
MS_QC_POOL_1_POS.mzML
FILES
MS_QC_POOL_2_POS.mzML
FILES
MS_QC_POOL_3_POS.mzML
FILES
MS_QC_POOL_4_POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_Phenotype
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8764
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
  Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_03.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_04.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_05.mzML
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QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_06.mzML
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QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_07.mzML
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Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_08.mzML
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Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_09.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_10.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_12.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_13.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_14.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_15.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_16.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_17.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_18.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_19.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_20.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_21.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_23.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_24.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_25.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_26.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_27.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_28.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_29.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_30.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_31.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_33.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_34.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_35.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_36.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_37.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_38.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_39.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_40.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM10_42.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_03.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_04.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_05.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_06.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_07.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_08.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_09.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_10.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_12.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_13.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_14.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_15.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_16.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_17.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_18.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_19.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_20.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_21.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_23.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_24.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_25.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_26.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_27.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_28.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_29.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_30.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_31.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_33.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_34.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_35.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_36.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_37.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_38.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_39.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_40.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM11_42.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_03.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_04.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_05.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_06.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_07.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_08.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_09.mzML
FILES
Method 1
QXA07POSEAR20211208_MDAC0421MD_HUMAN_SERUM8_10.mzML
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Method 2
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Method 2
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Returning 2448 rows!
Added 2448 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8957
Request successful!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Scan polarity
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Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8958
Request successful!
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Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8966
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Agilent 5975C VL MSD: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▍| 1572/1662 [3:05:09<14:08,  9.43s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▍| 1573/1662 [3:05:14<11:42,  7.89s/it]
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Strain
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 40 rows!
Added 40 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9118
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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32N.raw
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33N.raw
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61N.raw
FILES
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68N.raw
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74N.raw
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77N.raw
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83N.raw
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85N.raw
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Blk11.raw
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_age
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Disease
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Samples_Ethnicity
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 32 rows!
Added 32 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9234
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
NEG_Gb14ZCL_QC01.raw
FILES
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POS_Gb14ZCL_QC01.raw
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POS_Gb14ZCL_QC02.raw
FILES
POS_Gb14ZCL_QC03.raw
FILES
POS_Gb14ZCL_WT_1.raw
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POS_Gb14ZCL_WT_2.raw
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POS_Gb14ZCL_WTc_3.raw
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POS_Gb14ZCL_ttg1_2.raw
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POS_Gb14ZCL_ttg1c_1.raw
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POS_Gb14ZCL_ttg1c_3.raw
FILES
POS_Gb14ZCL_ttg1c_4.raw
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POS_Gb14ZCL_ttg1c_5.raw
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POS_Gb14ZCL_ttg1c_6.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▍| 1574/1662 [3:05:18<09:45,  6.65s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▍| 1575/1662 [3:05:23<09:04,  6.26s/it]
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cold stress
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9264
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HC1.raw
FILES
HC10.raw
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FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
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IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Accession Number.4
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 228 rows!
Added 228 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS951
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▍| 1576/1662 [3:05:28<08:32,  5.96s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▍| 1577/1662 [3:05:32<07:21,  5.19s/it]
 95%|█████████▍| 1578/1662 [3:05:32<05:25,  3.87s/it]
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
KV-001.mzXML
FILES
KV-002.mzXML
FILES
KV-003.mzXML
FILES
KV-004.mzXML
FILES
KV-005.mzXML
FILES
KV-006.mzXML
FILES
KV-007.mzXML
FILES
KV-008.mzXML
FILES
KV-009.mzXML
FILES
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FILES
KV-011.mzXML
FILES
KV-012.mzXML
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KV-013.mzXML
FILES
KV-014.mzXML
FILES
KV-015.mzXML
FILES
blank.mzXML
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IGNORED:  Assay_Term Accession Number.7
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IGNORED:  Assay_Term Accession Number.4
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IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Number of cells
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
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Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9835
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 120: missing value
IonizationSourceAndPolarity:
  electrospray ionization: missing value
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  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Protocol REF
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
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Number of rows removed due to not enough metadata: 0
Returning 38 rows!
Added 38 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9836
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9872
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
HFX5_663032_CN_QC1.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▌| 1579/1662 [3:05:37<05:45,  4.16s/it]
 95%|█████████▌| 1580/1662 [3:05:39<04:32,  3.32s/it]
FILES
DERIVED_FILES
HFX5_663032_CN_QC2.mzML
FILES
DERIVED_FILES
HFX5_663032_CN_QC3.mzML
FILES
DERIVED_FILES
HFX5_663032_CN_blank.mzML
FILES
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HFX5_CN1_FZTM210013174-1A.mzML
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FILES
DERIVED_FILES
HFX5_CN2_FZTM210013182-1A.mzML
FILES
DERIVED_FILES
HFX5_CN2_FZTM210013183-1A.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
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IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 13 rows!
Added 13 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11375
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS99
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT HDMS System: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
nr001_01_pos02.CDF
FILES
nr001_01_posII02.CDF
FILES
nr001_01_pos_280311II02.CDF
FILES
nr001_02_pos02.CDF
FILES
nr001_02_posII02.CDF
FILES
nr001_02_pos_28031102.CDF
FILES
nr001_02_pos_280311II02.CDF
FILES
nr001_03_pos02.CDF
FILES
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nr310_01_pos02.CDF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Apple number
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Label
IGNORED:  Samples_Injection number
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Sample type_1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.8
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Batch
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 338 rows!
Added 338 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9981
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Samples_Term Source REF.3
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IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11250
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS442
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA06POL20171229_DANO0117VSCLP_RAT_MILK4_11.mzML
FILES
Method 4
QXA06POL20171229_DANO0117VSCLP_RAT_MILK4_12.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▌| 1584/1662 [3:05:59<06:18,  4.85s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▌| 1585/1662 [3:06:04<06:01,  4.69s/it]
FILES
Method 4
QXA06POL20171229_DANO0117VSCLP_RAT_MILK4_13.mzML
FILES
Method 4
QXA06POL20171229_DANO0117VSCLP_RAT_MILK4_16.mzML
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Number of rows removed due to not enough metadata: 0
Returning 200 rows!
Added 200 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10682
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
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Country: ADDED!
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10002
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▌| 1586/1662 [3:06:07<05:26,  4.29s/it]
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters Xevo G2-XS QTof: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES
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Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10062
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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FILES
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IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 95%|█████████▌| 1587/1662 [3:06:11<05:19,  4.26s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 96%|█████████▌| 1588/1662 [3:06:14<04:50,  3.93s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 96%|█████████▌| 1589/1662 [3:06:18<04:38,  3.81s/it]
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 94 rows!
Added 94 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10446
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  PerkinElmer TurboMass: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
GC-MS_01.cdf
FILES
GC-MS_02.cdf
FILES
GC-MS_03.cdf
FILES
GC-MS_04.cdf
FILES
GC-MS_05.cdf
FILES
GC-MS_06.cdf
FILES
GC-MS_07.cdf
FILES
GC-MS_08.cdf
FILES
GC-MS_09.cdf
FILES
GC-MS_10.cdf
FILES
QC1.cdf
FILES
QC2.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Samples_Cohort
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10592
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo UHPLC-Q Exactive HF-X  Mass Spectrometer: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG_Fk04LC_tlr5_A.raw
FILES
RAW_FILES
NEG_Fk04LC_tlr5_B.raw
FILES
RAW_FILES
NEG_Fk04LC_tlr5_C.raw
FILES
RAW_FILES
NEG_Fk04LC_tlr5_D.raw
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RAW_FILES
NEG_Fk04LC_tlr5_E.raw
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RAW_FILES
NEG_Fk04LC_tlr5_F.raw
FILES
RAW_FILES
NEG_Fk04LC_wt_1.raw
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RAW_FILES
NEG_Fk04LC_wt_2.raw
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RAW_FILES
NEG_Fk04LC_wt_3.raw
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RAW_FILES
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RAW_FILES
NEG_Fk04LC_wt_5.raw
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RAW_FILES
NEG_Fk04LC_wt_6.raw
FILES
RAW_FILES
POS_Fk04LC_tlr5_A.raw
FILES
RAW_FILES
POS_Fk04LC_tlr5_B.raw
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RAW_FILES
POS_Fk04LC_tlr5_C.raw
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RAW_FILES
POS_Fk04LC_tlr5_D.raw
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RAW_FILES
POS_Fk04LC_tlr5_E.raw
FILES
RAW_FILES
POS_Fk04LC_tlr5_F.raw
FILES
RAW_FILES
POS_Fk04LC_wt_1.raw
FILES
RAW_FILES
POS_Fk04LC_wt_2.raw
FILES
RAW_FILES
POS_Fk04LC_wt_3.raw
FILES
RAW_FILES
POS_Fk04LC_wt_4.raw
FILES
RAW_FILES
POS_Fk04LC_wt_5.raw
FILES
RAW_FILES
POS_Fk04LC_wt_6.raw
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10647
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 96%|█████████▌| 1590/1662 [3:06:22<04:42,  3.93s/it]
 96%|█████████▌| 1591/1662 [3:06:23<03:33,  3.01s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 96%|█████████▌| 1592/1662 [3:06:26<03:42,  3.17s/it]
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Agilent 6550 Q-TOF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-A1_1_A01_NEG.d
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-A5_33_D03_NEG.d
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-B1_2_A02_NEG.d
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-B5_34_D04_NEG.d
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-C1_3_A03_NEG.d
FILES
RAW_FILES
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FILES
RAW_FILES
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FILES
RAW_FILES
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RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-E2_13_B03_NEG.d
FILES
RAW_FILES
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FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-F12_BL1_NEG.d
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-F12_BL2_NEG.d
FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-F12_BL3_NEG.d
FILES
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RAW_FILES
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FILES
RAW_FILES
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FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-G4_31_D01_NEG.d
FILES
RAW_FILES
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FILES
RAW_FILES
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FILES
RAW_FILES
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RAW_FILES
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FILES
RAW_FILES
BOSq_Everts_LUMC_hCells_071520_P2-H4_32_D02_NEG.d
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IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Protocol REF.4
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IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Donor
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_FIA Instrument
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10673
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10762
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX QTRAP 6500: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
DERIVED_FILES
10d-1_N.mzML
FILES
DERIVED_FILES
10d-1_P.mzML
FILES
DERIVED_FILES
10d-2_N.mzML
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_MS Assay Name
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10856
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Q Exactive HFX: missing value
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FILES
QC01.raw
FILES
QC02.raw
FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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QC03.raw
FILES
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Number of rows removed due to not enough metadata: 0
Returning 19 rows!
Added 19 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10858
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11009
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11277
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Orbitrap ID-X Tribrid: missing value
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Number of rows removed due to not enough metadata: 16
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS114
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8109
Request successful!
SampleCollectionMethod: ADDED!
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TermsofPosition: ADDED!
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ComorbidityListDOIDIndex: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Collision energy
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
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IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
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IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
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IGNORED:  Samples_Chemical class
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
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IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
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IGNORED:  Samples_Adduct
Number of rows removed due to not enough metadata: 534
Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS119
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2-S HDMS: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
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IGNORED:  Samples_Term Source REF.1
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IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Growth Year
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
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IGNORED:  filename_lower
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IGNORED:  Samples_Variant
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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Number of rows removed due to not enough metadata: 0
Returning 312 rows!
Added 312 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1206
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS121
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 96%|█████████▋| 1601/1662 [3:07:04<04:49,  4.75s/it]
 96%|█████████▋| 1602/1662 [3:07:05<03:36,  3.61s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 96%|█████████▋| 1603/1662 [3:07:09<03:46,  3.84s/it]
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Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11004
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1333
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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Returning 0 rows!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS140
Request successful!
SampleCollectionMethod: ADDED!
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IGNORED:  Assay_Normalization Name
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IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
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IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Time point
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Dose
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
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IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1604/1662 [3:07:16<04:30,  4.66s/it]
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
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Number of rows removed due to not enough metadata: 68
Returning 108 rows!
Added 108 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1405
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Waters SYNAPT G2-Si HDMS: missing value
ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Cultivar
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Samples_Location
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
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IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 1360 rows!
Added 1360 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS178
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1820
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific TSQ Vantage: missing value
  Thermo Scientific Orbitrap Fusion Lumos Tribrid: missing value
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mtab_webber_cuba_lumos_062018_uplc_36.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Sea water location
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Autosampler model
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Samples_Term Source REF.1
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Depth
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
IGNORED:  Samples_Profiling
Number of rows removed due to not enough metadata: 0
Returning 280 rows!
Added 140 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1821
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker compact: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Irrigation
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Collection Time Point(post sowing)
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1608/1662 [3:07:49<05:17,  5.88s/it]
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 47 rows!
Added 47 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS220
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  Samples_Term Accession Number.11
IGNORED:  Samples_Term Source REF.12
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_gender
IGNORED:  Samples_Group name
IGNORED:  Samples_Term Accession Number.8
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Group class
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Samples_Alternative sample name
IGNORED:  Assay_Term Source REF.3
IGNORED:  Samples_Term Accession Number.13
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.14
IGNORED:  Samples_Experiment name
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Couple number
IGNORED:  Samples_Chronic Graft Versus Host Disease
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Samples_Acute Graft Versus Host Disease
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Accession Number.9
IGNORED:  Assay_Detector mode
IGNORED:  Samples_Term Source REF.16
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_age
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Samples_Term Source REF.13
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Samples_Term Source REF.9
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  Samples_Term Source REF.7
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.15
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IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
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IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
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IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
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IGNORED:  Samples_Term Source REF.11
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.14
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IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Hematological disorder
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Samples_Cytomegalovirus (CMV) status
IGNORED:  Assay_Metabolite Assignment File
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IGNORED:  Samples_Term Accession Number.16
IGNORED:  filename_lower
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IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
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IGNORED:  Assay_Protocol REF.1
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Term Source REF.8
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1609/1662 [3:08:00<06:32,  7.40s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1610/1662 [3:08:03<05:17,  6.10s/it]
 97%|█████████▋| 1611/1662 [3:08:03<03:49,  4.50s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1612/1662 [3:08:07<03:31,  4.24s/it]IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Samples_Term Accession Number.12
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Term Source REF.15
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Samples_Term Accession Number.15
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 272 rows!
Added 272 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2313
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker impact II UHR-TOF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
nemt1_7.mzML
FILES
DERIVED_FILES
nemt1_8.mzML
FILES
DERIVED_FILES
nrps1_34.mzML
FILES
DERIVED_FILES
nrps1_56.mzML
IGNORED:  Assay_Data Transformation Name
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IGNORED:  Assay_Autosampler model
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IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Genotype
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 4 rows!
Added 4 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS243
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS26
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ FT Ultra: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
20100126_PLneg-34.RAW
FILES
20100126_PLneg-35.RAW
FILES
20100126_PLneg-36.RAW
FILES
20100126_PLneg-37.RAW
FILES
20100126_PLneg-38.RAW
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20100126_PLneg-39.RAW
FILES
20100126_PLneg-40.RAW
FILES
20100126_PLneg-41.RAW
FILES
20100126_PLneg-42.RAW
FILES
20100126_PLpos-34.RAW
FILES
20100126_PLpos-35.RAW
FILES
20100126_PLpos-36.RAW
FILES
20100126_PLpos-37.RAW
FILES
20100126_PLpos-38.RAW
FILES
20100126_PLpos-39.RAW
FILES
20100126_PLpos-40.RAW
FILES
20100126_PLpos-41.RAW
FILES
20100126_PLpos-42.RAW
FILES
20100126_TAG-34.RAW
FILES
20100126_TAG-35.RAW
FILES
20100126_TAG-36.RAW
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20100126_TAG-37.RAW
FILES
20100126_TAG-38.RAW
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20100126_TAG-39.RAW
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20100126_TAG-40.RAW
FILES
20100126_TAG-41.RAW
FILES
20100126_TAG-42.RAW
FILES
20100629_PL-70-Pos.RAW
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20100629_PL-70-neg.RAW
FILES
20100629_PL-71-Pos.RAW
FILES
20100629_PL-71-neg.RAW
FILES
20100629_PL-72-Pos.RAW
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20100629_PL-72-neg.RAW
FILES
20100629_PL-73-Pos.RAW
FILES
20100629_PL-73-neg.RAW
FILES
20100629_PL-74-Pos.RAW
FILES
20100629_PL-74-neg.RAW
FILES
20100629_PL-75-Pos.RAW
FILES
20100629_PL-75-neg.RAW
FILES
20100629_PL-76-Pos.RAW
FILES
20100629_PL-76-neg.RAW
FILES
20100629_PL-77-Pos.RAW
FILES
20100629_PL-77-neg.RAW
FILES
20100629_PL-78-Pos.RAW
FILES
20100629_PL-78-neg.RAW
FILES
20100629_TAG-70.RAW
FILES
20100629_TAG-71.RAW
FILES
20100629_TAG-72.RAW
FILES
20100629_TAG-73.RAW
FILES
20100629_TAG-74.RAW
FILES
20100629_TAG-75.RAW
FILES
20100629_TAG-76.RAW
FILES
20100629_TAG-77.RAW
FILES
20100629_TAG-78.RAW
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Samples_Nutritional status
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 54 rows!
Added 54 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS276
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1613/1662 [3:08:13<03:51,  4.73s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1614/1662 [3:08:18<03:53,  4.86s/it]
 97%|█████████▋| 1615/1662 [3:08:19<02:51,  3.65s/it]
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
01E6.raw
FILES
02E6.raw
FILES
03E6.raw
FILES
04E6.raw
FILES
05E6.raw
FILES
06E6.raw
FILES
07E6.raw
FILES
08E6.raw
FILES
09E6.raw
FILES
10E6.raw
FILES
11E6.raw
FILES
12E6.raw
FILES
25E6.raw
FILES
26E6.raw
FILES
27E6.raw
FILES
28E6.raw
FILES
29E6.raw
FILES
30E6.raw
FILES
31E6.raw
FILES
32E6.raw
FILES
33E6_2.raw
FILES
34E6_2.raw
FILES
35E6_2.raw
FILES
36E6_2.raw
FILES
43E6.raw
FILES
44E6.raw
FILES
45E6.raw
FILES
Control_1.raw
FILES
Control_2.raw
FILES
Control_2_2.raw
FILES
Control_3.raw
FILES
dA_2.raw
FILES
mdA_2.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
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IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Pulldown
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 2
Returning 31 rows!
Added 31 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Electron TRACE DSQ: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Cecilia_AA_batch23_05.raw
FILES
Cecilia_AA_batch23_06.raw
FILES
Cecilia_AA_batch23_07.raw
FILES
Cecilia_AA_batch23_08.raw
FILES
Cecilia_AA_batch23_10.raw
FILES
Cecilia_AA_batch23_11.raw
FILES
Cecilia_AA_batch23_12.raw
FILES
Cecilia_AA_batch23_15.raw
FILES
Cecilia_AA_batch23_16.raw
FILES
Cecilia_AA_batch23_17.raw
FILES
Cecilia_AA_batch23_18.raw
FILES
Cecilia_AA_batch23_19.raw
FILES
Cecilia_AA_batch23_21.raw
FILES
Cecilia_AA_batch23_22.raw
FILES
Cecilia_AA_batch23_23.raw
FILES
Cecilia_AA_batch23_28.raw
FILES
Cecilia_AA_batch23_29.raw
FILES
Cecilia_AA_batch23_30.raw
FILES
Cecilia_AA_batch23_31.raw
FILES
Cecilia_AA_batch23_32.raw
FILES
Cecilia_AA_batch23_33.raw
FILES
Cecilia_AA_batch23_35.raw
FILES
Cecilia_AA_batch23_36.raw
FILES
Cecilia_AA_batch23_39.raw
FILES
Cecilia_AA_batch23_40.raw
FILES
Cecilia_AA_batch23_41.raw
FILES
Cecilia_AA_batch23_42.raw
FILES
Cecilia_AA_batch23_43.raw
FILES
Cecilia_AA_batch23_45.raw
FILES
Cecilia_AA_batch23_46.raw
FILES
Cecilia_AA_rerun05.raw
FILES
Cecilia_AA_rerun06.raw
FILES
Cecilia_AA_rerun07.raw
FILES
Cecilia_AA_rerun08.raw
FILES
Cecilia_AA_rerun10.raw
FILES
Cecilia_AA_rerun11.raw
FILES
Cecilia_AA_rerun12.raw
FILES
Cecilia_AA_rerun13.raw
FILES
Cecilia_AA_rerun15.raw
FILES
Cecilia_AA_rerun16.raw
FILES
Cecilia_AA_rerun17.raw
FILES
Cecilia_AA_rerun18.raw
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Cecilia_AA_rerun19.raw
FILES
Cecilia_AA_rerun21.raw
FILES
Cecilia_AA_rerun22.raw
FILES
Cecilia_AA_rerun23.raw
FILES
Cecilia_AA_rerun24.raw
FILES
Cecilia_AA_rerun27.raw
FILES
Cecilia_AA_rerun28.raw
FILES
Cecilia_AA_rerun29.raw
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Cecilia_AA_rerun30.raw
FILES
Cecilia_AA_rerun31.raw
FILES
Cecilia_AA_rerun33.raw
FILES
Cecilia_AA_rerun34.raw
FILES
Cecilia_AA_rerun35.raw
FILES
Cecilia_AA_rerun36.raw
FILES
Cecilia_AA_rerun37.raw
FILES
Cecilia_AA_rerun39.raw
FILES
Cecilia_AA_rerun40.raw
FILES
Cecilia_AA_rerun41.raw
FILES
Cecilia_AA_rerun42.raw
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Cecilia_AA_rerun43.raw
FILES
Cecilia_AA_rerun45.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF
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IGNORED:  Samples_gene knockout
IGNORED:  extension
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IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 63 rows!
Added 63 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3627
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS3628
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
LCMS
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IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  Assay_Term Source REF/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1616/1662 [3:08:28<03:56,  5.15s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1617/1662 [3:08:31<03:30,  4.67s/it]
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Samples_Disease
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 384 rows!
Added 384 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4404
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 36 rows!
Added 36 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4445
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Finnigan TRACE DSQ: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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20210712_27per30_2_polar.RAW/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1618/1662 [3:08:36<03:30,  4.77s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1619/1662 [3:08:41<03:27,  4.82s/it]
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Lifespan
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Samples_Combination
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 62 rows!
Added 62 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS4469
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  LECO Pegasus HT TOFMS: missing value
IonizationSourceAndPolarity:
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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C10_1.cdf
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C2_1.cdf
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P6_1.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Diet
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Samples_AAP treatment
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 18 rows!
Added 18 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS5085
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Exactive Plus: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 97%|█████████▋| 1620/1662 [3:09:07<07:53, 11.26s/it]
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Samples_Bacterial culture density
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Samples_Sample origin
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_DI Instrument
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Term Source REF.2
IGNORED:  Samples_Medical condition
IGNORED:  base
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 4
Returning 1172 rows!
Added 1172 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6038
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  AB SCIEX API 4000: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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P210801723.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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P210801746.mzML
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Returning 179 rows!
Added 179 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6039
Request successful!
SampleCollectionMethod: ADDED!
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RAW_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1622/1662 [3:09:18<05:27,  8.20s/it]
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 160 rows!
Added 160 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6311
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6337
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
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IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
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IGNORED:  Assay_Term Accession Number.1
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
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IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Column type
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Number of rows removed due to not enough metadata: 0
Returning 27 rows!
Added 27 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6677
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
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IGNORED:  Assay_Autosampler model/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1625/1662 [3:09:27<03:04,  4.98s/it]
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Medium volume
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Samples_Labelling timepoint
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Samples_Unit.1
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 22 rows!
Added 22 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6733
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
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Returning 311 rows!
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Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6735
Request successful!
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Returning 40 rows!
Added 20 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6736
Request successful!
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DERIVED_FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 50 rows!
Added 50 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7118
Request successful!
SampleCollectionMethod: ADDED!
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IN-20211004-D2C-Rapa.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 207 rows!
Added 207 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7299
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
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FILES/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1630/1662 [3:09:55<02:51,  5.35s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1631/1662 [3:10:00<02:40,  5.17s/it]
RAW_FILES
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Number of rows removed due to not enough metadata: 75
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Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7936
Request successful!
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Number of rows removed due to not enough metadata: 0
Returning 88 rows!
Added 88 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8336
Request successful!/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1632/1662 [3:10:04<02:18,  4.62s/it]
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
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  Thermo Scientific LTQ XL linear ion trap: missing value
IonizationSourceAndPolarity:
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ChromatographyAndPhase:
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ENVOEnvironmentBiome:
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ENVOEnvironmentMaterial:
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Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8434
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
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SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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qiita_sample_name: ADDED!
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A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1633/1662 [3:10:08<02:10,  4.51s/it]
 98%|█████████▊| 1634/1662 [3:10:09<01:37,  3.49s/it]
IGNORED:  filename_lower
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Returning 44 rows!
Added 44 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8784
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS8920
Request successful!
SampleCollectionMethod: ADDED!
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Country: ADDED!
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qiita_sample_name: ADDED!
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IGNORED:  Assay_Term Accession Number.3/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1635/1662 [3:10:14<01:45,  3.89s/it]
 98%|█████████▊| 1636/1662 [3:10:15<01:17,  2.97s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 98%|█████████▊| 1637/1662 [3:10:19<01:25,  3.43s/it]
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 128 rows!
Added 128 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS897
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9409
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
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ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
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FILES
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IGNORED:  Assay_Data Transformation Name
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IGNORED:  Samples_Sample type
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IGNORED:  Assay_Term Accession Number
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 42 rows!
Added 42 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9535
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▊| 1638/1662 [3:10:23<01:25,  3.56s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▊| 1639/1662 [3:10:26<01:21,  3.54s/it]
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
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IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Signaling condition
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
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IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
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IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Hydrogen Peroxide
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
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IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
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IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 48 rows!
Added 48 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9830
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Thermo Scientific Orbitrap Exploris 480: missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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IGNORED:  Assay_Term Source REF.3
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IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
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IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
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IGNORED:  Is Organ
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IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 12 rows!
Added 12 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9914
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  Orbitrap ID-X: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
DERIVED_FILES
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FILES
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FILES
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FILES
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FILES
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FILES
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MetaboMS1posneg
mouse_A0plusB0_Control.mzML
FILES
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FILES
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FILES
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FILES
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FILES
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mouse_D3_SOX4_OE_TET2_KO.mzML
FILES
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FILES
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FILES
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FILES
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MetaboMSnNeg
Pool_neg_Met_4.mzML
FILES
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MetaboMSnPos
Pool_pos_Met_1.mzML
FILES
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FILES
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MetaboMSnPos
Pool_pos_Met_3.mzML
FILES
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MetaboMSnPos
Pool_pos_Met_4.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Genotype
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▊| 1640/1662 [3:10:31<01:25,  3.88s/it]
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Cell
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS833
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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QXA02POL20151125_UCAM0415ML_HUMAN_PLASMA71_33.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 252 rows!
Added 252 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS100
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9795
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
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BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
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Country: ADDED!
HumanPopulationDensity: ADDED!
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HFX12_CN1_FZTM220336804-2A.raw/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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Number of rows removed due to not enough metadata: 0
Returning 96 rows!
Added 96 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10000
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
YearOfAnalysis:
  1970: missing value
MassSpectrometer:
  AB SCIEX TripleTOF 6600: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
NEG
IWHF1_NEG.wiff
FILES
RAW_FILES
NEG
IWHF2_NEG.wiff
FILES
RAW_FILES
NEG
IWHF3_NEG.wiff
FILES
RAW_FILES
NEG
IWHM1_NEG.wiff
FILES
RAW_FILES
NEG
IWHM2_NEG.wiff
FILES
RAW_FILES
NEG
IWHM3_NEG.wiff
FILES
RAW_FILES
NEG
IWLF1_NEG.wiff
FILES
RAW_FILES
NEG
IWLF2_NEG.wiff
FILES
RAW_FILES
NEG
IWLF3_NEG.wiff
FILES
RAW_FILES
NEG
IWLM1_NEG.wiff
FILES
RAW_FILES
NEG
IWLM2_NEG.wiff
FILES
RAW_FILES
NEG
IWLM3_NEG.wiff
FILES
RAW_FILES
POS
IWHF1_POS.wiff
FILES
RAW_FILES
POS
IWHF2_POS.wiff
FILES
RAW_FILES
POS
IWHF3_POS.wiff
FILES
RAW_FILES
POS
IWHM1_POS.wiff
FILES
RAW_FILES
POS
IWHM2_POS.wiff
FILES
RAW_FILES
POS
IWHM3_POS.wiff
FILES
RAW_FILES
POS
IWLF1_POS.wiff
FILES
RAW_FILES
POS
IWLF2_POS.wiff
FILES
RAW_FILES
POS
IWLF3_POS.wiff
FILES
RAW_FILES
POS
IWLM1_POS.wiff
FILES
RAW_FILES
POS
IWLM2_POS.wiff
FILES
RAW_FILES
POS
IWLM3_POS.wiff
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Samples_Group
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▉| 1644/1662 [3:10:48<01:10,  3.91s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)
/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:188: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
  df['USI'] = 'mzspec:' + df['MassiveID'] + ':' + df['filename']

 99%|█████████▉| 1645/1662 [3:10:53<01:11,  4.21s/it]
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Raw Spectral Data File.1
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10757
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HF-2_CN4_FZTM230034332-1A.raw
FILES
HF-2_CN4_FZTM230034333-1A.raw
FILES
HF-2_CN4_FZTM230034334-1A.raw
FILES
HF-2_CN4_FZTM230034335-1A.raw
FILES
HF-2_CN4_FZTM230034336-1A.raw
FILES
HF-2_CN5_FZTM230034338-1A.raw
FILES
HF-2_CN5_FZTM230034339-1A.raw
FILES
HF-2_CN5_FZTM230034340-1A.raw
FILES
HF-2_CN5_FZTM230034341-1A.raw
FILES
HF-2_CN5_FZTM230034342-1A.raw
FILES
HF-2_CN5_FZTM230034343-1A.raw
FILES
HF-2_CN7_FZTM230034350-1A.raw
FILES
HF-2_CN7_FZTM230034351-1A.raw
FILES
HF-2_CN7_FZTM230034352-1A.raw
FILES
HF-2_CN7_FZTM230034353-1A.raw
FILES
HF-2_CN7_FZTM230034354-1A.raw
FILES
HF-2_CN7_FZTM230034355-1A.raw
FILES
HF-2_CN8_FZTM230034356-1A.raw
FILES
HF-2_CN8_FZTM230034357-1A.raw
FILES
HF-2_CN8_FZTM230034358-1A.raw
FILES
HF-2_CN8_FZTM230034359-1A.raw
FILES
HF-2_CN8_FZTM230034360-1A.raw
FILES
HF-2_CN8_FZTM230034361-1A.raw
FILES
HF-2_CP4_FZTM230034332-1A.raw
FILES
HF-2_CP4_FZTM230034333-1A.raw
FILES
HF-2_CP4_FZTM230034334-1A.raw
FILES
HF-2_CP4_FZTM230034335-1A.raw
FILES
HF-2_CP4_FZTM230034336-1A.raw
FILES
HF-2_CP4_FZTM230034337-1A.raw
FILES
HF-2_CP5_FZTM230034338-1A.raw
FILES
HF-2_CP5_FZTM230034340-1A.raw
FILES
HF-2_CP5_FZTM230034341-1A.raw
FILES
HF-2_CP5_FZTM230034342-1A.raw
FILES
HF-2_CP5_FZTM230034343-1A.raw
FILES
HF-2_CP7_FZTM230034350-1A.raw
FILES
HF-2_CP7_FZTM230034351-1A.raw
FILES
HF-2_CP7_FZTM230034352-1A.raw
FILES
HF-2_CP7_FZTM230034353-1A.raw
FILES
HF-2_CP7_FZTM230034354-1A.raw
FILES
HF-2_CP7_FZTM230034355-1A.raw
FILES
HF-2_CP8_FZTM230034356-1A.raw
FILES
HF-2_CP8_FZTM230034357-1A.raw
FILES
HF-2_CP8_FZTM230034358-1A.raw
FILES
HF-2_CP8_FZTM230034359-1A.raw
FILES
HF-2_CP8_FZTM230034360-1A.raw
FILES
HF-2_CP8_FZTM230034361-1A.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 1
Returning 45 rows!
Added 45 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS11080
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive HF-X: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
HF1_2339044_CN_QC1.mzML
FILES
HF1_2339044_CN_QC2.mzML
FILES
HF1_2339044_CN_QC3.mzML
FILES
HF1_2339044_CP_QC1.mzML
FILES
HF1_2339044_CP_QC2.mzML
FILES
HF1_2339044_CP_QC3.mzML
FILES
HF1_CN10_FZTM240048193-1A.mzML
FILES
HF1_CN11_FZTM240048194-1A.mzML
FILES
HF1_CN12_FZTM240048195-1A.mzML
FILES
HF1_CN1_FZTM240048184-1A.mzML
FILES
HF1_CN2_FZTM240048185-1A.mzML
FILES
HF1_CN3_FZTM240048186-1A.mzML
FILES
HF1_CN4_FZTM240048187-1A.mzML
FILES
HF1_CN5_FZTM240048188-1A.mzML
FILES
HF1_CN6_FZTM240048189-1A.mzML
FILES
HF1_CN8_FZTM240048191-1A.mzML
FILES
HF1_CN9_FZTM240048192-1A.mzML
FILES
HF1_CP10_FZTM240048193-1A.mzML
FILES
HF1_CP11_FZTM240048194-1A.mzML
FILES
HF1_CP12_FZTM240048195-1A.mzML
FILES
HF1_CP1_FZTM240048184-1A.mzML
FILES
HF1_CP2_FZTM240048185-1A.mzML
FILES
HF1_CP3_FZTM240048186-1A.mzML
FILES
HF1_CP4_FZTM240048187-1A.mzML
FILES
HF1_CP5_FZTM240048188-1A.mzML
FILES
HF1_CP6_FZTM240048189-1A.mzML
FILES
HF1_CP8_FZTM240048191-1A.mzML
FILES
HF1_CP9_FZTM240048192-1A.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  filepath
IGNORED:  Assay_Autosampler model
IGNORED:  Assay_Normalization Name
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Assay_Scan m/z range
IGNORED:  row_id
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▉| 1646/1662 [3:10:57<01:04,  4.01s/it]
 99%|█████████▉| 1647/1662 [3:10:58<00:45,  3.05s/it]
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  extension
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Source Name
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Guard column
IGNORED:  Samples_Organism
IGNORED:  Assay_Protocol REF
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Is Organ
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 28 rows!
Added 28 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS113
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS125
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific LTQ Orbitrap: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
Mouse 01 blood control oral NEG.mzML
FILES
Mouse 01 blood control oral POS.mzML
FILES
Mouse 01 dorsal skin control oral NEG.mzML
FILES
Mouse 01 dorsal skin control oral POS.mzML
FILES
Mouse 01 leg muscle control oral NEG.mzML
FILES
Mouse 01 leg muscle control oral POS.mzML
FILES
Mouse 01 leg skin control oral NEG.mzML
FILES
Mouse 01 leg skin control oral POS.mzML
FILES
Mouse 01 liver control oral NEG.mzML
FILES
Mouse 01 liver control oral POS.mzML
FILES
Mouse 02 blood control oral NEG.mzML
FILES
Mouse 02 blood control oral POS.mzML
FILES
Mouse 02 dorsal skin control oral NEG.mzML
FILES
Mouse 02 dorsal skin control oral POS.mzML
FILES
Mouse 02 leg muscle control oral NEG.mzML
FILES
Mouse 02 leg muscle control oral POS.mzML
FILES
Mouse 02 leg skin control oral NEG.mzML
FILES
Mouse 02 leg skin control oral POS.mzML
FILES
Mouse 02 liver control oral NEG.mzML
FILES
Mouse 02 liver control oral POS.mzML
FILES
Mouse 03 blood control oral NEG.mzML
FILES
Mouse 03 blood control oral POS.mzML
FILES
Mouse 03 dorsal skin control oral NEG.mzML
FILES
Mouse 03 dorsal skin control oral POS.mzML
FILES
Mouse 03 leg muscle control oral NEG.mzML
FILES
Mouse 03 leg muscle control oral POS.mzML
FILES
Mouse 03 leg skin control oral NEG.mzML
FILES
Mouse 03 leg skin control oral POS.mzML
FILES
Mouse 03 liver control oral NEG.mzML
FILES
Mouse 03 liver control oral POS.mzML
FILES
Mouse 04 blood RESV oral NEG.mzML
FILES
Mouse 04 blood RESV oral POS.mzML
FILES
Mouse 04 dorsal skin RESV oral NEG.mzML
FILES
Mouse 04 dorsal skin RESV oral POS.mzML
FILES
Mouse 04 leg muscle RESV oral NEG.mzML
FILES
Mouse 04 leg muscle RESV oral POS.mzML
FILES
Mouse 04 leg skin RESV oral NEG.mzML
FILES
Mouse 04 leg skin RESV oral POS.mzML
FILES
Mouse 04 liver RESV oral NEG.mzML
FILES
Mouse 04 liver RESV oral POS.mzML
FILES
Mouse 05 blood RESV oral NEG.mzML
FILES
Mouse 05 blood RESV oral POS.mzML
FILES
Mouse 05 dorsal skin RESV oral NEG.mzML
FILES
Mouse 05 dorsal skin RESV oral POS.mzML
FILES
Mouse 05 leg muscle RESV oral NEG.mzML
FILES
Mouse 05 leg muscle RESV oral POS.mzML
FILES
Mouse 05 leg skin RESV oral NEG.mzML
FILES
Mouse 05 leg skin RESV oral POS.mzML
FILES
Mouse 05 liver RESV oral NEG.mzML
FILES
Mouse 05 liver RESV oral POS.mzML
FILES
Mouse 06 blood RESV oral NEG.mzML
FILES
Mouse 06 blood RESV oral POS.mzML
FILES
Mouse 06 dorsal skin RESV oral NEG.mzML
FILES
Mouse 06 dorsal skin RESV oral POS.mzML
FILES
Mouse 06 leg muscle RESV oral NEG.mzML
FILES
Mouse 06 leg muscle RESV oral POS.mzML
FILES
Mouse 06 leg skin RESV oral NEG.mzML
FILES
Mouse 06 leg skin RESV oral POS.mzML
FILES
Mouse 06 liver RESV oral NEG.mzML
FILES
Mouse 06 liver RESV oral POS.mzML
FILES
Mouse 07 blood control skin NEG.mzML
FILES
Mouse 07 blood control skin POS.mzML
FILES
Mouse 07 dorsal skin control skin NEG.mzML
FILES
Mouse 07 dorsal skin control skin POS.mzML
FILES
Mouse 07 leg muscle control skin NEG.mzML
FILES
Mouse 07 leg muscle control skin POS.mzML
FILES
Mouse 07 leg skin control skin NEG.mzML
FILES
Mouse 07 leg skin control skin POS.mzML
FILES
Mouse 07 liver control skin NEG.mzML
FILES
Mouse 07 liver control skin POS.mzML
FILES
Mouse 08 blood control skin NEG.mzML
FILES
Mouse 08 blood control skin POS.mzML
FILES
Mouse 08 dorsal skin control skin NEG.mzML
FILES
Mouse 08 dorsal skin control skin POS.mzML
FILES
Mouse 08 leg muscle control skin NEG.mzML
FILES
Mouse 08 leg muscle control skin POS.mzML
FILES
Mouse 08 leg skin control skin NEG.mzML
FILES
Mouse 08 leg skin control skin POS.mzML
FILES
Mouse 08 liver control skin NEG.mzML
FILES
Mouse 08 liver control skin POS.mzML
FILES
Mouse 09 blood control skin NEG.mzML
FILES
Mouse 09 blood control skin POS.mzML
FILES
Mouse 09 dorsal skin control skin NEG.mzML
FILES
Mouse 09 dorsal skin control skin POS.mzML
FILES
Mouse 09 leg muscle control skin NEG.mzML
FILES
Mouse 09 leg muscle control skin POS.mzML
FILES
Mouse 09 leg skin control skin NEG.mzML
FILES
Mouse 09 leg skin control skin POS.mzML
FILES
Mouse 09 liver control skin NEG.mzML
FILES
Mouse 09 liver control skin POS.mzML
FILES
Mouse 10 blood RESV skin NEG.mzML
FILES
Mouse 10 blood RESV skin POS.mzML
FILES
Mouse 10 dorsal skin RESV skin NEG.mzML
FILES
Mouse 10 dorsal skin RESV skin POS.mzML
FILES
Mouse 10 leg muscle RESV skin NEG.mzML
FILES
Mouse 10 leg muscle RESV skin POS.mzML
FILES
Mouse 10 leg skin RESV skin NEG.mzML
FILES
Mouse 10 leg skin RESV skin POS.mzML
FILES
Mouse 10 liver RESV skin NEG.mzML
FILES
Mouse 10 liver RESV skin POS.mzML
FILES
Mouse 11 blood RESV skin NEG.mzML
FILES
Mouse 11 blood RESV skin POS.mzML
FILES
Mouse 11 dorsal skin RESV skin NEG.mzML
FILES
Mouse 11 dorsal skin RESV skin POS.mzML
FILES
Mouse 11 leg muscle RESV skin NEG.mzML
FILES
Mouse 11 leg muscle RESV skin POS.mzML
FILES
Mouse 11 leg skin RESV skin NEG.mzML
FILES
Mouse 11 leg skin RESV skin POS.mzML
FILES
Mouse 11 liver RESV skin NEG.mzML
FILES
Mouse 11 liver RESV skin POS.mzML
FILES
Mouse 12 blood RESV skin NEG.mzML
FILES
Mouse 12 blood RESV skin POS.mzML
FILES
Mouse 12 dorsal skin RESV skin NEG.mzML
FILES
Mouse 12 dorsal skin RESV skin POS.mzML
FILES
Mouse 12 leg muscle RESV skin NEG.mzML
FILES
Mouse 12 leg muscle RESV skin POS.mzML
FILES
Mouse 12 leg skin RESV skin NEG.mzML
FILES
Mouse 12 leg skin RESV skin POS.mzML
FILES
Mouse 12 liver RESV skin NEG.mzML
FILES
Mouse 12 liver RESV skin POS.mzML
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Tissue
IGNORED:  Assay_Mass analyzer/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▉| 1648/1662 [3:11:02<00:49,  3.54s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

 99%|█████████▉| 1649/1662 [3:11:08<00:52,  4.05s/it]
 99%|█████████▉| 1650/1662 [3:11:08<00:36,  3.08s/it]
 99%|█████████▉| 1651/1662 [3:11:09<00:26,  2.44s/it]
 99%|█████████▉| 1652/1662 [3:11:10<00:19,  1.94s/it]
 99%|█████████▉| 1653/1662 [3:11:11<00:14,  1.60s/it]
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 120 rows!
Added 120 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS128
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
NCBITaxonomy:
  : missing value
MassSpectrometer:
  Bruker micrOTOF-Q II: missing value
UBERONBodyPartName:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
ATCC13032_1_177_01_4681.cdf
FILES
ATCC13032_2_182_01_4686.cdf
FILES
ATCC13032_3_183_01_4687.cdf
FILES
ATCC13032_4_180_01_4684.cdf
FILES
ATCC21831_1_179_01_4683.cdf
FILES
ATCC21831_2_181_01_4685.cdf
FILES
ATCC21831_3_178_01_4682.cdf
FILES
ATCC21831_4_184_01_4688.cdf
FILES
IS_1_185_01_4691.cdf
FILES
IS_2_186_01_4692.cdf
FILES
IS_3_187_01_4693.cdf
FILES
IS_4_188_01_4694.cdf
FILES
blank_151_01_4689.cdf
FILES
blank_151_02_4679.cdf
FILES
blank_151_02_4690.cdf
FILES
blank_151_02_4696.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Samples_Term Source REF.1
IGNORED:  Samples_Term Accession Number.3
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Column type
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Samples_strain
IGNORED:  Samples_replicate
Number of rows removed due to not enough metadata: 0
Returning 16 rows!
Added 16 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS134
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1437
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS156
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS177
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS186
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_04.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_05.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_07.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_08.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_12.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_13.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_17.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_20.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_21.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_25.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_26.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_28.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_29.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_30.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_31.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_35.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_38.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_39.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_40.mzML
FILES
QXA01PDNEG20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_42.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_04.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_05.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_07.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_08.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_12.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_13.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_17.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_20.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_21.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_25.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_26.mzML/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

100%|█████████▉| 1654/1662 [3:11:17<00:23,  2.99s/it]
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_28.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_29.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_30.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_31.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_35.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_38.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_39.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_40.mzML
FILES
QXA02PDPOSEAR20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_42.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_04.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_05.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_07.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_08.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_12.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_13.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_17.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_20.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_21.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_25.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_26.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_28.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_29.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_30.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_31.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_35.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_38.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_39.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_40.mzML
FILES
QXA02PDPOSLAT20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_42.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_04.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_05.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_07.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_08.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_12.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_13.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_17.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_20.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_21.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_25.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_26.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_28.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_29.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_30.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_31.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_35.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_38.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_39.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_40.mzML
FILES
QXA03PDPOL20181220_FREI0518VWSS000000139CELLS_HUMAN_CELLS1_42.mzML
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Samples_Genotype
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
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IGNORED:  Assay_Term Source REF.16
IGNORED:  Is Organ
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IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
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IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Samples_Treatment
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Term Accession Number.6
IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Column type
IGNORED:  Assay_Unit
IGNORED:  Assay_Term Source REF.19
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Term Accession Number.10
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
IGNORED:  Assay_Unit.1
IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 80 rows!
Added 80 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS6000
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Agilent 5973 MSD: missing value
IonizationSourceAndPolarity:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

100%|█████████▉| 1655/1662 [3:11:20<00:21,  3.07s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

100%|█████████▉| 1656/1662 [3:11:24<00:19,  3.28s/it]
100%|█████████▉| 1657/1662 [3:11:25<00:13,  2.61s/it]
100%|█████████▉| 1658/1662 [3:11:26<00:08,  2.07s/it]
  electron ionization (positive): missing value
ChromatographyAndPhase:
  : missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
C1 MET.D
FILES
RAW_FILES
C1 TFA.D
FILES
RAW_FILES
C2 MET.D
FILES
RAW_FILES
C2 TFA.D
FILES
RAW_FILES
C3 MET.D
FILES
RAW_FILES
C3 TFA.D
FILES
RAW_FILES
C4 MET.D
FILES
RAW_FILES
C4 TFA.D
FILES
RAW_FILES
C5 MET.D
FILES
RAW_FILES
C5 TFA.D
FILES
RAW_FILES
C6 MET.D
FILES
RAW_FILES
C6 TFA.D
FILES
RAW_FILES
H1 MET.D
FILES
RAW_FILES
H1 TFA.D
FILES
RAW_FILES
H2 MET.D
FILES
RAW_FILES
H2 TFA.D
FILES
RAW_FILES
H3 MET.D
FILES
RAW_FILES
H3 TFA.D
FILES
RAW_FILES
H4 MET.D
FILES
RAW_FILES
H4 TFA.D
FILES
RAW_FILES
H5 MET.D
FILES
RAW_FILES
H5 TFA.D
FILES
RAW_FILES
H6 MET.D
FILES
RAW_FILES
H6 TFA.D
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Peripheral glucose level
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 24 rows!
Added 24 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7565
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
ChromatographyAndPhase: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive: missing value
IonizationSourceAndPolarity:
   (positive): missing value
   (negative): missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
RAW_FILES
01_two organoids_POS_fig_2.RAW
FILES
RAW_FILES
02_two organoids_NEG_fig_3&S1.RAW
FILES
RAW_FILES
03_rosette_POS_fig_4&5.RAW
FILES
RAW_FILES
04_rosette_NEG_fig_4&5.RAW
FILES
RAW_FILES
05_water embedding_NEG_fig_S1.RAW
FILES
RAW_FILES
06_porcine gelatine embedding_NEG_fig_S1.RAW
IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Sectioning instrument
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Unit.5
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Spatial resolution
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Samples_Sample type
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Matrix application
IGNORED:  Assay_Sample mounting
IGNORED:  Assay_Pixel size y
IGNORED:  Samples_Embedding
IGNORED:  Assay_Inlet type
IGNORED:  Assay_Max count of pixel y
IGNORED:  Assay_Instrument software version
IGNORED:  Assay_Scan pattern
IGNORED:  keep
IGNORED:  Assay_Data file content
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Low-res image
IGNORED:  Assay_Protocol REF.2
IGNORED:  Assay_Stain
IGNORED:  Is Organ
IGNORED:  Assay_Resolving power m/z
IGNORED:  Assay_Line scan direction
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Assay_Term Source REF.2
IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Max dimension x
IGNORED:  Assay_Resolving power
IGNORED:  filepath
IGNORED:  Assay_Scan type
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Assay_Max count of pixel x
IGNORED:  Assay_Unit.3
IGNORED:  Assay_Linescan sequence
IGNORED:  Assay_High-res image
IGNORED:  Assay_Term Source REF
IGNORED:  Assay_Solvent
IGNORED:  Assay_Target material
IGNORED:  Samples_Source Name
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Section thickness
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Instrument software
IGNORED:  Assay_Labeled Extract Name
IGNORED:  Assay_Protocol REF.1
IGNORED:  Assay_Pixel size x
IGNORED:  Assay_Matrix
IGNORED:  Assay_Unit.4
IGNORED:  Assay_Unit
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Extract Name
IGNORED:  Assay_Data Transformation Name.1
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Unit.1
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Tissue modification
IGNORED:  Assay_Unit.2
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Max dimension y
IGNORED:  Assay_Sample preservation
IGNORED:  Samples_Term Source REF.1
Number of rows removed due to not enough metadata: 0
Returning 6 rows!
Added 6 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS7972
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS9131
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS2721
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Thermo Scientific Q Exactive Plus: missing value
ENVOEnvironmentBiome:/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

100%|█████████▉| 1659/1662 [3:11:30<00:07,  2.59s/it]
100%|█████████▉| 1660/1662 [3:11:31<00:04,  2.09s/it]/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

100%|█████████▉| 1661/1662 [3:11:34<00:02,  2.53s/it]
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
A1_neg.raw
FILES
A1_pos.raw
FILES
A2_neg.raw
FILES
A2_pos.raw
FILES
A3_neg.raw
FILES
A3_pos.raw
FILES
A4_neg.raw
FILES
A4_pos.raw
FILES
A5_neg.raw
FILES
A5_pos.raw
FILES
A6_neg.raw
FILES
A6_pos.raw
FILES
B1_neg.raw
FILES
B1_pos.raw
FILES
B2_neg.raw
FILES
B2_pos.raw
FILES
B3_neg.raw
FILES
B3_pos.raw
FILES
B4_neg.raw
FILES
B4_pos.raw
FILES
B5_neg.raw
FILES
B5_pos.raw
FILES
B6_neg.raw
FILES
B6_pos.raw
FILES
C1_neg.raw
FILES
C1_pos.raw
FILES
C2_neg.raw
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C2_pos.raw
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C3_neg.raw
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FILES
C4_neg.raw
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C4_pos.raw
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C5_neg.raw
FILES
C5_pos.raw
FILES
C6_neg.raw
FILES
C6_pos.raw
FILES
D1_neg.raw
FILES
D1_pos.raw
FILES
D2_neg.raw
FILES
D2_pos.raw
FILES
D3_neg.raw
FILES
D3_pos.raw
FILES
D4_neg.raw
FILES
D4_pos.raw
FILES
D5_neg.raw
FILES
D5_pos.raw
FILES
D6_neg.raw
FILES
D6_pos.raw
FILES
QC1_neg.raw
FILES
QC1_pos.raw
FILES
QC2_neg.raw
FILES
QC2_pos.raw
FILES
QC3_neg.raw
FILES
QC3_pos.raw
FILES
QC4_neg.raw
FILES
QC4_pos.raw
FILES
QC5_neg.raw
FILES
QC5_pos.raw
FILES
QC6_neg.raw
FILES
QC6_pos.raw
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  filepath
IGNORED:  Is Fluid
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Autosampler model
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Term Accession Number.7
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Samples_Replicate
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Term Source REF.7
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Dosage Regimen
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Samples_Concentration
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Samples_Term Accession Number.6
IGNORED:  Samples_Drug
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 60 rows!
Added 60 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS1
Request successful!
Added 0 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS10
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Bruker micrOTOF: missing value
IonizationSourceAndPolarity:
  electrospray ionization: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
FILES
02sa00l00h1a1_27_01_5561.cdf
FILES
02sa00l00h1b1_28_01_5562.cdf
FILES
02sa00l00h1c1_29_01_5563.cdf
FILES
02sa00l00h1d1_30_01_5564.cdf
FILES
02sa00l00h1e1_31_01_5567.cdf
FILES
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FILES
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FILES
02sa01l01h4a1_5_01_5535.cdf
FILES
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FILES
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FILES
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FILES
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FILES
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FILES
02sa01l72h4a1_25_01_5559.cdf
FILES
02sa01l72h5a1_26_01_5560.cdf
IGNORED:  Assay_Data Transformation Name
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Is Fluid
IGNORED:  filepath
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Normalization Name
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Term Source REF.5
IGNORED:  Samples_Term Source REF.1
IGNORED:  row_id
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Label
IGNORED:  Samples_Treatment
IGNORED:  Samples_Unit
IGNORED:  Assay_Mass analyzer
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Term Source REF
IGNORED:  Samples_Term Source REF.2
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Extract Name
IGNORED:  Samples_Source Name
IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Derivatization
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_Protocol REF.1
IGNORED:  Samples_Organism
IGNORED:  Assay_Guard column
IGNORED:  Assay_MS Assay Name
IGNORED:  keep
IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Assay_Protocol REF.3
IGNORED:  filename_lower
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Assay_Protocol REF.2
IGNORED:  Samples_Variant
IGNORED:  Is Organ
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Term Accession Number.3
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Term Source REF.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Column model
IGNORED:  Assay_Term Source REF.2
IGNORED:  Assay_Labeled Extract Name
IGNORED:  base
IGNORED:  Assay_Term Source REF.1
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Column type
Number of rows removed due to not enough metadata: 0
Returning 30 rows!
Added 30 samples.
Requested: https://www.ebi.ac.uk:443/metabolights/ws/studies/public/study/MTBLS201
Request successful!
SampleCollectionMethod: ADDED!
SampleExtractionMethod: ADDED!
InternalStandardsUsed: ADDED!
SubjectIdentifierAsRecorded: ADDED!
BiologicalSex: ADDED!
TermsofPosition: ADDED!
HealthStatus: ADDED!
DOIDCommonName: ADDED!
ComorbidityListDOIDIndex: ADDED!
SampleCollectionDateandTime: ADDED!
Country: ADDED!
HumanPopulationDensity: ADDED!
LatitudeandLongitude: ADDED!
DepthorAltitudeMeters: ADDED!
qiita_sample_name: ADDED!
MassSpectrometer:
  Q Exactive: missing value
ENVOEnvironmentBiome:
  nan: missing value
ENVOEnvironmentMaterial:
  nan: missing value
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/app/workflows/PublicDataset_ReDU_Metadata_Workflow/bin/read_and_validate_redu_from_github.py:30: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  uberon_ontology_table['Label'] = uberon_ontology_table['Label'].astype(str)

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IGNORED:  Assay_Spectrum representation
IGNORED:  Assay_Term Accession Number.5
IGNORED:  Assay_Term Source REF.7
IGNORED:  Is Fluid
IGNORED:  Assay_Chromatography Instrument
IGNORED:  Assay_Term Accession Number.17
IGNORED:  Assay_Term Source REF.8
IGNORED:  Assay_Term Accession Number.9
IGNORED:  row_id
IGNORED:  Is Descendant
IGNORED:  extension
IGNORED:  Assay_Protocol REF.4
IGNORED:  Assay_Term Accession Number.13
IGNORED:  Assay_Term Source REF.3
IGNORED:  Assay_Data Transformation software
IGNORED:  Samples_Organism
IGNORED:  Assay_Term Accession Number.19
IGNORED:  Samples_Term Accession Number.2
IGNORED:  Assay_Term Accession Number.1
IGNORED:  Samples_Protocol REF
IGNORED:  Samples_Term Accession Number.4
IGNORED:  Assay_Ion source
IGNORED:  Assay_Protocol REF
IGNORED:  Samples_Term Source REF
IGNORED:  Assay_Detector mode
IGNORED:  Assay_Data Transformation Name
IGNORED:  Samples_Term Accession Number.5
IGNORED:  Samples_Term Accession Number.3
IGNORED:  Assay_Scan m/z range
IGNORED:  Assay_Term Accession Number.8
IGNORED:  Samples_Sample type
IGNORED:  Samples_Term Source REF.5
IGNORED:  Assay_Term Accession Number
IGNORED:  Assay_Number of scans
IGNORED:  Assay_Mass analyzer
IGNORED:  Assay_Data Transformation software version
IGNORED:  Assay_Term Accession Number.18
IGNORED:  Samples_Specimen collection process
IGNORED:  Assay_Term Source REF.15
IGNORED:  Assay_Inlet type
IGNORED:  Samples_Subject ID
IGNORED:  Assay_Post Extraction
IGNORED:  Assay_Term Source REF.20
IGNORED:  Assay_Term Accession Number.16
IGNORED:  Assay_Term Accession Number.7
IGNORED:  Assay_Term Source REF.14
IGNORED:  keep
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IGNORED:  Samples_Term Accession Number.1
IGNORED:  Samples_Sample Name
IGNORED:  Assay_Protocol REF.3
IGNORED:  Assay_Native spectrum identifier format
IGNORED:  Assay_Protocol REF.2
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IGNORED:  Is Organ
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IGNORED:  base
IGNORED:  Samples_Term Source REF.3
IGNORED:  Assay_Derivatization
IGNORED:  Assay_Term Source REF.17
IGNORED:  filepath
IGNORED:  Assay_Term Source REF.12
IGNORED:  Assay_Normalization Name
IGNORED:  Assay_Term Source REF.5
IGNORED:  Assay_Term Accession Number.14
IGNORED:  Assay_Term Accession Number.2
IGNORED:  Is Multicellular
IGNORED:  Samples_Term Source REF.6
IGNORED:  Assay_Term Source REF.9
IGNORED:  Assay_Instrument serial number
IGNORED:  Assay_Label
IGNORED:  Assay_Term Source REF
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IGNORED:  Assay_Term Source REF.10
IGNORED:  Samples_Source Name
IGNORED:  Assay_Term Accession Number.12
IGNORED:  Assay_Metabolite Assignment File
IGNORED:  Assay_Instrument manufacturer
IGNORED:  filename_lower
IGNORED:  Assay_Term Source REF.4
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IGNORED:  Assay_Labeled Extract Name
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IGNORED:  Assay_Term Source REF.19
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IGNORED:  Assay_Extract Name
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IGNORED:  Assay_Scan polarity
IGNORED:  Assay_Term Source REF.18
IGNORED:  Samples_Timepoint
IGNORED:  Assay_Term Accession Number.4
IGNORED:  Assay_MS Assay Name
IGNORED:  Assay_Term Source REF.13
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IGNORED:  Assay_Term Source REF.6
IGNORED:  Samples_Organism part
IGNORED:  Samples_Term Accession Number
IGNORED:  Samples_Variant
IGNORED:  Samples_Term Source REF.4
IGNORED:  Assay_Sample Name
IGNORED:  Assay_Detector
IGNORED:  Assay_Term Accession Number.11
IGNORED:  Assay_Column model
IGNORED:  Assay_Raw data file format
IGNORED:  Assay_Term Source REF.11
IGNORED:  Assay_Term Source REF.1
IGNORED:  Assay_Term Accession Number.20
IGNORED:  Assay_Time range
IGNORED:  Samples_Term Source REF.1
IGNORED:  Assay_Data file checksum type
Number of rows removed due to not enough metadata: 0
Returning 256 rows!
Added 256 samples.
Output of 265039 samples has been saved to Metabolights2REDU_ALL.tsv!