Scientific Data
A peer-reviewed, open-access journal for descriptions of datasets, and research that advances the sharing and reuse of scientific data.
Proteomics plays key roles in biomedical research but accompanied by technical issues like data integration, missing value imputation, batch effect correction and their confounding. To investigate these issues and benchmark data processing methods, proper gold standard proteomic datasets are needed.
HALD, a human aging and longevity knowledge graph for precision gerontology and geroscience analyses
We presented HALD, 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, which uses multiple state-of-the-art natural language processing (NLP) techniques.
Improved high-quality reference genome of red drum facilitates the resistance-related gene exploration
Scientific Data - Improved high-quality reference genome of red drum facilitates the resistance-related gene exploration
A high spatial resolution dataset for methylmercury exposure in Guangdong-Hong Kong-Macao Greater Bay Area
Dietary methylmercury (MeHg) intake poses a significant threat to human health. We constructed a gridded dataset for dietary MeHg exposure of the GBA with the 1km×1km spatial resolution from 2009 to 2019.
Heterodox school of thought, geoAI-ML, big data analytics, and agent-based modelling to represent the human dimension in climate-energy-economic models
In most climate-energy-economy models, a key assumption rules analysis. Millions of consumers are deliberately represented as a single agent that takes prices as given, making rational choices with perfect knowledge of markets under rational expectations to maximize welfare under budget constraints.