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. 2023 Dec 1;10:851. doi: 10.1038/s41597-023-02781-0

Table 2.

Dataset details.

File Objects Articles Variables Short Description
Literature_Info.json 339,145 339,145 PMID, title (TI), abstract (AB), IF (Journal Impact Factor), IF5 (Five-year Journal Impact Factors), author (AU), full author (FAU), affiliation (AD), publication type (PT), date of publication (DP), place of publication (PL), journal title (JT), journal title abbreviation (TA), and source(SO). JSON file containing the information of human aging and longevity-related literature with abstracts
Entity_Info.json 12,227 181,924 entity, type, official full name, PMID, sentence, number of articles, JT, TA, IF, IF5, years, alias names, description, url, mutation position, mutation alleles, MeSH ID, relation, external links, aging biomarker, and longevity biomarker. JSON file containing the information of the entities appearing in the literature
Relation_Info.json 115,522 50,191 source entity, relationship, target entity, method, sentence, source, target, source type, target type, PMID, DP, date, TI, TA, IF, and IF5. JSON file containing the triples information
Aging_Biomarkers.json 1,855 1,502 source entity, relationship, target entity, sentence, source, target, source type, target type, PMID, DP, date, TI, TA, IF, and IF5. JSON file containing the aging biomarkers information
Longevity_Biomarkers.json 525 494 source entity, relationship, target entity, sentence, source, target, source type, target type, PMID, DP, date, TI, TA, IF, and IF5. JSON file containing the longevity biomarkers information
Entities.csv 6,906 50,191 ID, name, type, frequency, label CSV file containing the entities information for Neo4j
Roles.csv 115,514 50,191 start_ID, end_ID, relation, weight, method, type CSV file containing the relations information for Neo4j