Validation Log
2025-12-14 23:35:22.909174
mwtab Python Library Version: 2.0.0
Source:        https://www.metabolomicsworkbench.org/rest/study/analysis_id/AN002747/mwtab/json
Study ID:      ST001683
Analysis ID:   AN002747
File format:   json
Status: Contains Validation Issues
Number of Issues: 11

Number of Warnings: 4

Number of Value Errors: 6

Number of Consistency Errors: 0

Number of Format Errors: 5

Issue Log:
Error: An empty value or a null value was detected in ["PROJECT"]["PHONE"]. A legitimate value should be provided for this required key.
Error: An empty value or a null value was detected in ["STUDY"]["PHONE"]. A legitimate value should be provided for this required key.
Error: The required property, "FLOW_GRADIENT", in ["CHROMATOGRAPHY"] is missing.
Error: The required property, "FLOW_RATE", in ["CHROMATOGRAPHY"] is missing.
Error: The required property, "COLUMN_TEMPERATURE", in ["CHROMATOGRAPHY"] is missing.
Error: The required property, "SOLVENT_A", in ["CHROMATOGRAPHY"] is missing.
Error: The required property, "SOLVENT_B", in ["CHROMATOGRAPHY"] is missing.
Warning: The "quantitated m/z" column at position 2 in the ["MS_METABOLITE_DATA"]["Metabolites"] table, matches a standard column name, "moverz_quant". 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 "PubChem_CID" column at position 5 in the ["MS_METABOLITE_DATA"]["Metabolites"] table, matches a standard column name, "pubchem_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 "retention times" column at position 3 in the ["MS_METABOLITE_DATA"]["Metabolites"] table, matches a standard column name, "retention_time". 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 "adduct" column at position 4 in the ["MS_METABOLITE_DATA"]["Metabolites"] table may have incorrect values. 90% or more of the values are the same, but 10% or less are different.