HALD, a human aging and longevity knowledge graph for precision gerontology and geroscience analyses

HALD is a text mining-based human aging and longevity dataset of the biomedical knowledge graph from all published literature related to human aging and longevity in PubMed. HALD includes seven sets of files in JSON and CSV formats: (1) The "Literature_Info.json" file containing the human aging and longevity-related literature information about PMID, title (TI), abstract (AB), journal impact factors (IF), five-year journal impact factors (IF5), 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). (2) The "Entity_Info.json" file containing the information of the entities appearing in the literature about entity, type, official full name, PMID, sentence, number of articles, JT, TA, IF, IF5, year, date, alias names, description, url, mutation position, mutation alleles, MeSH ID, relation, external links, aging biomarker, and longevity biomarker. (3) The "Relation_Info.json" file containing the triples information about source entity, relationship, target entity, method, sentence, source, target, source type, target type, PMID, DP, date, TI, TA, IF, and IF5. (4) The "Aging_Biomarkers.json" file containing the aging biomarkers information about source entity, relationship, target entity, sentence, source, target, source type, target type, PMID, DP, date, TI, TA, IF, and IF5. (5) The "Longevity_Biomarkers.json" file containing the longevity biomarkers information about source entity, relationship, target entity, sentence, source, target, source type, target type, DP, TI, TA, IF, and IF5. (6) The "Entities.csv" file containing the entities information for Neo4j. (7) The "Roles.csv" file containing the relations information for Neo4j.