Validation Log
2025-12-15 01:30:40.864237
mwtab Python Library Version: 2.0.0
Source:        https://www.metabolomicsworkbench.org/rest/study/analysis_id/AN004696/mwtab/txt
Study ID:      ST002864
Analysis ID:   AN004696
File format:   txt
Status: Contains Validation Issues
Number of Issues: 7

Number of Warnings: 5

Number of Value Errors: 7

Number of Consistency Errors: 0

Number of Format Errors: 0

Issue Log:
Error: The value, "200 ul/minute", for the subsection, "FLOW_RATE", in the "CHROMATOGRAPHY" section should be a number or range (ex. "5-6") followed by a space with a unit (ex. "5 V") from the following list: ['mL/min', 'uL/min', 'μL/min']. Ignore this when more complicated descriptions are required.
Error: The value, "35", for the subsection, "COLUMN_TEMPERATURE", in the "CHROMATOGRAPHY" section should be a number or range (ex. "5-6") followed by a space with a unit (ex. "5 V") from the following list: ['°C', 'C']. Ignore this when more complicated descriptions are required.
Warning: The "KEGG.ID" column at position 2 in the METABOLITES table, matches a standard column name, "kegg_id". If this match was not in error, the column should be renamed to the standard name or a name that doesn't resemble the standard name.
Warning: The "KEGG.ID" column at position 2 in the METABOLITES table, matches a standard column name, "kegg_id", and some of the values in the column do not match the expected type or format for that column. The non-matching values are:
363    X00006
364    X00006
365    X00006
366    X00006
367    X00006
368    X00006
369    X00006
370    X00006
371    X00006
Warning: The "QC-blank1" column at position 26 in the MS_METABOLITE_DATA table may have incorrect values. 90% or more of the values are the same, but 10% or less are different.
Warning: The "QC-blank2" column at position 27 in the MS_METABOLITE_DATA table may have incorrect values. 90% or more of the values are the same, but 10% or less are different.
Warning: The "QC-blank3" column at position 28 in the MS_METABOLITE_DATA table may have incorrect values. 90% or more of the values are the same, but 10% or less are different.