Introduction to Awesome Public Datasets
Awesome Public Datasets is a curated collection of high-quality, topic-centric public data sources. This project compiles available data sets from various sources, including blogs and user contributions, providing a comprehensive repository for researchers, analysts, and enthusiasts. Managed by OMNILab at Shanghai Jiao Tong University during the Ph.D. studies of Xiaming Chen, this initiative is now part of the BaiYuLan Open AI community. The project is also featured within the larger awesome lists by sindresorhus.
Automatic Generation and Contribution
The Awesome Public Datasets repository is maintained through an automated process via the apd-core, ensuring updated and accurate data collections. Contributors wishing to add to this growing list can follow the guidelines specified in the project's contribution manual. Additionally, the community is encouraged to join the Slack workspace for real-time updates and discussions on data quality and contributions.
Scope and Categories
The datasets are categorized into various fields, accommodating the diverse needs of different sectors. Some highlighted categories and their datasets include:
Agriculture
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Global Dataset of Historical Yields for Major Crops: This dataset provides comprehensive historical crop yield data, essential for understanding agricultural trends.
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Hyperspectral Benchmark Dataset on Soil Moisture: A dataset focusing on soil moisture levels over a period, useful for agricultural and environmental research.
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U.S. Department of Agriculture's PLANTS Database: A vast database containing plant species information and is crucial for botanists and ecologists.
Architecture
- Swiss Apartment Models: Detailed information about Swiss apartments, including thousands of entries, valuable for studies in architecture and urban planning.
Biology
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1000 Genomes Project: A resourceful genomics project offering extensive human genetic variation data.
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ANHIR (Automatic Non-rigid Histological Image Registration): Provides 2D histological images important for medical imaging research.
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American Gut Microbiome Project: The largest crowdsourced microbiome dataset, offering insights into human gut microbiomes.
Chemistry
- Ionic Liquids Database - ILThermo: A comprehensive resource for studying ionic liquids, significant for chemical research.
Climate and Weather
- Brazilian Weather: Historical climate and weather data from Brazil, essential for climatologists and meteorologists.
Visual Indicators of Dataset Status
The project utilizes graphical icons to indicate the status of datasets. An "OK_ICON" signifies a well-maintained dataset, while a "FIXME_ICON" highlights datasets that require updates or repairs.
Access and Usage
These datasets, predominantly free to access, are valuable for various applications ranging from academic research to AI model training. The project provides direct links to obtain dataset meta-information, ensuring that users have access to the data's context and application scenarios.
Conclusion
The Awesome Public Datasets project serves as a fundamental resource for individuals and organizations by providing access to invaluable data across multiple disciplines. Whether for academic research, market analysis, or environmental studies, these datasets offer a goldmine of information for data-driven decisions and insights.