Table 2 Dataset details.
From: HALD, a human aging and longevity knowledge graph for precision gerontology and geroscience analyses
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 |
