A curated set of time series datasets listed in the Awesome Public Datasets directory, including realistic and public time-series resources such as industrial sensor data, national statistics, hardware failure logs, biomedical signals, and academic time-series repositories. This collection serves as a meta-directory entry point for practitioners looking for high-quality time-series data within the broader Awesome ecosystem.
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CrowdANALYTIX dataX is a competition platform offering data science and analytics challenges with real-world datasets for practitioners and enterprises.
A curated awesome-style list of open 3D semantic city and region models (e.g., CityGML datasets), providing a centralized directory of high-quality 3D urban data sources.
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 awesome-style collection of image processing and computer vision datasets, hosted under the Awesome Data (apd-core) project. The listed datasets (e.g., ImageNet, KITTI, Danbooru, DukeMTMC) are part of this meta awesome directory of specialized data resources.
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.