Awesome Open Climate Science

A community curated list of clean tech companies fighting climate change, along with research about environmental issues and sustainable solutions, focusing on companies and technologies that reduce negative environmental impacts.

A comprehensive collection of open-source projects for data engineering, covering workflow orchestration, data processing, streaming, storage, and quality tools used in modern data platforms.

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 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.

An awesome-style curated list of open-source Chinese large language models, focused on smaller-scale models suitable for private deployment, along with domain-specific fine-tunes, applications, datasets, and tutorials.