Human Reference Atlas Literature (HRAlit) Database

The Human Reference Atlas literature (HRAlit) database, with 23 tables with 21,703,812 records including 7 junction tables with 13,042,188 relationships and a total size of 1.56 GB, is available in SQL format together with tables in CSV format. The database links the 295 digital objects of the HRA (versions 1.0 to 1.4) to publication, funding, and experimental data. Specifically, HRAlit includes 7,103,180 PubMed publications retrieved by a query for all 31 organs plus papers published in HRA, CZ CELLxGENE, GTEx, and CellMarker that are linked to 583,117 experts from 26,235 (cleaned) institutions and 896,680 funded projects by 6,427 (cleaned) funders. HRAlit also links the HRA to 1,816 experimental datasets and their 4,639 donors. The anatomical structures, cell types, and biomarkers in the 5th HRA release link to 5,049 ontology terms and IDs. HRAlit can be used to identify leading experts, major papers, funding trends, or alignment with existing ontologies in support of systematic HRA construction and usage. All data and code is at https://github.com/cns-iu/hra-literature. <br>

人类参考图谱文献（Human Reference Atlas Literature，HRAlit）数据库包含23张数据表，总计21,703,812条记录，其中涵盖7张关联表（junction tables），共记录13,042,188条关联关系，整体数据规模达1.56 GB，同时提供SQL格式与CSV格式的数据表文件。该数据库将人类参考图谱（Human Reference Atlas，HRA）版本1.0至1.4的295个数字对象与文献、资助及实验数据进行关联。具体而言，HRAlit收录了7,103,180篇PubMed文献，这些文献通过针对全部31个器官的检索策略获取，同时涵盖发表于HRA、CZ CELLxGENE、GTEx及CellMarker的相关论文；上述文献关联了来自26,235家经清洗后的机构的583,117名专家，以及由6,427名经清洗后的资助方资助的896,680个科研项目。此外，HRAlit还将HRA与1,816个实验数据集及其对应的4,639名捐赠者进行关联。HRA第5版中的解剖结构、细胞类型与生物标志物共关联了5,049个本体术语及标识符。HRAlit可用于识别领域核心专家、重要学术文献、资助趋势，或验证与现有本体的匹配度，从而为系统性构建及应用HRA提供支撑。所有数据与代码均可通过以下链接获取：https://github.com/cns-iu/hra-literature。