Awesome Biology

A curated Awesome-style collection of biological and genomics datasets, including ENCODE, EMPIAR, Ensembl Genomes, GEO, Gene Ontology, GloBI, LINCS, HGDP, HMP, ICOS PSP Benchmark, HapMap, JCB DataViewer (via BioStudies), and KEGG. Each entry links out to the primary dataset resource along with a corresponding YAML metadata file in the awesomedata/apd-core GitHub repository, making this part of a larger meta collection of Awesome data directories.

A curated list of deep learning applications in computational biology, covering neural networks, machine learning models, and AI tools for biological and medical research.

A curated list of resources on parasites and host–pathogen interactions for research and study in parasitology and related fields.

A curated subset of the Awesome Public Datasets meta-collection, focusing on economics-related data sources such as macroeconomic indicators, trade statistics, productivity, corporate registries, and long-run historical series. This portion of the awesome list aggregates high‑quality, openly accessible economics datasets useful for research, data science, and policy analysis.

A curated Awesome-style subdirectory under the Awesome Public Datasets project focusing on Energy-related datasets (e.g., AMPds, BLUEd, COMBED, DBFC, ECO, Global Power Plant Database). It aggregates and links to high-quality, structured energy datasets useful for research and data science.

Awesome resources on normalizing flows, a family of powerful generative models for density estimation and generation. Includes research papers, implementations, and applications across various domains.