Validation Log 2025-12-14 20:59:52.882002 mwtab Python Library Version: 2.0.0 Source: https://www.metabolomicsworkbench.org/rest/study/analysis_id/AN000030/mwtab/json Study ID: ST000013 Analysis ID: AN000030 File format: json Status: Contains Validation Issues Number of Issues: 23 Number of Warnings: 9 Number of Value Errors: 14 Number of Consistency Errors: 2 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: An empty value or a null value was detected in ["COLLECTION"]["COLLECTION_SUMMARY"]. A legitimate value should be provided for this required key. Error: An empty value or a null value was detected in ["TREATMENT"]["TREATMENT_SUMMARY"]. A legitimate value should be provided for this required key. Error: The value, "Day 24 C, Night 24 C", in ["TREATMENT"]["PLANT_TEMP"] 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 in ["SAMPLEPREP"]["SAMPLEPREP_SUMMARY"]. A legitimate value should be provided for this required key. Error: An empty value or a null value was detected in ["CHROMATOGRAPHY"]["COLUMN_NAME"]. 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. Error: The following metabolites in the, ["MS_METABOLITE_DATA"]["Data"] table were not found in the ["MS_METABOLITE_DATA"]["Metabolites"] table: "1_2-anhydro-myo-inositol NIST" "3_6-anhydrogalactose" "5^-deoxy-5^-methylthioadenosine" Warning: The following metabolites in the ["MS_METABOLITE_DATA"]["Data"] table appear more than once in the table: "ribitol" Error: The following metabolites in the ["MS_METABOLITE_DATA"]["Metabolites"] table were not found in the ["MS_METABOLITE_DATA"]["Data"] table: "1,2-anhydro-myo-inositol NIST" Warning: The following metabolites in the ["MS_METABOLITE_DATA"]["Metabolites"] table appear more than once in the table: "ribitol" "3,6-anhydrogalactose" Warning: The "ri" column at position 3 in the ["MS_METABOLITE_DATA"]["Metabolites"] table, matches a standard column name, "retention_index". 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 "ri_type" column at position 4 in the ["MS_METABOLITE_DATA"]["Metabolites"] table, matches a standard column name, "retention_index_type". 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 column pair, "ri" and "ri_type", in the METABOLITES table should have data in the same rows, but at least one row has data in one column and nothing in the other. Warning: The standard column, "other_id", was found in the METABOLITES table as "other_id". If this column contains database IDs for standard databases such as KEGG, PubChem, HMDB, etc., it is recommended to make individual columns for these and not lump them together into a less descriptive "other_id" column. Warning: The "inchi_key" column at position 6 in the ["MS_METABOLITE_DATA"]["Metabolites"] table has all null values. Warning: The "ri_type" 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. Warning: The "other_id_type" column at position 9 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.