Validation Log
2026-03-15 08:18:03.204974
mwtab Python Library Version: 2.0.0
Source:        https://www.metabolomicsworkbench.org/rest/study/analysis_id/AN007798/mwtab/txt
Study ID:      ST004624
Analysis ID:   AN007798
File format:   txt
Status: Contains Validation Issues
Number of Issues: 8

Number of Warnings: 2

Number of Value Errors: 8

Number of Consistency Errors: 0

Number of Format Errors: 0

Issue Log:
Error: An empty value or a null value was detected for the subsection, "COLUMN_NAME", in the "CHROMATOGRAPHY" section. A legitimate value should be provided for this required subsection.
Error: An empty value or a null value was detected for the subsection, "FLOW_GRADIENT", in the "CHROMATOGRAPHY" section. A legitimate value should be provided for this required subsection.
Error: The value, "none", 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, "none", 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.
Error: An empty value or a null value was detected for the subsection, "SOLVENT_A", in the "CHROMATOGRAPHY" section. A legitimate value should be provided for this required subsection.
Error: An empty value or a null value was detected for the subsection, "SOLVENT_B", in the "CHROMATOGRAPHY" section. A legitimate value should be provided for this required subsection.
Warning: The "SwissLipids Name" column at position 9 in the METABOLITES table, matches a standard column name, "name". 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 "totaloh" column at position 7 in the METABOLITES table may have incorrect values. 90% or more of the values are the same, but 10% or less are different.