New AWS Public Datasets Available from National Renewable Energy Laboratory, Nanyang Technological University, Stanford, Software Heritage and others

18 new or updated AWS Public Datasets are now available in the following categories: 

Astronomy:

• Epoch of Reionization Radio Astronomy Dataset from the University of Washington
• LOFAR ELAIS-N1 Cycle 2 Observations Radio Astronomy Dataset from the Institute for Astronomy, University of Edinburgh

Biology:

• ZINC15 3D Molecular Docking Models from John Irwin
• Genome Ark from the Vertebrate Genomes Project
• Encyclopedia of DNA Elements (ENCODE) Dataset from the ENCODE Data Coordinating Center
• Human PanGenomics Project from the University of California Santa Cruz

Disaster Response:

• Sentinel-1 Single Look Complex (S1 SLC) dataset for South Asia, Southeast Asia, Taiwan, and Japan from Nanyang Technological University in Singapore
• Open Earthquake Early-Warnings (OpenEEW) from Grillo

Encyclopedic:

• Software Heritage Graph Dataset from Software Heritage

Environmental:

• Wind Integration National Dataset (WIND) from the U.S. National Renewable Energy Laboratory (NREL)
• National Solar Radiation Data Base from the U.S. National Renewable Energy Laboratory (NREL)
• eBird Status and Trends Model Results from the Cornell Lab of Ornithology
• Africa Soil Information Service (AfSIS) Soil Chemistry from Quantitative Engineering Design

Machine Learning:

• The Massively Multilingual Image Dataset from the University of Pennsylvania has been expanded to include data from 98 languages.
• Paracrawl from the Broader Web-Scale Provision of Parallel Corpora for European Languages

Meteorological:

• Global Forecast System (GFS v2.0 & v3.0) from NOAA
• Météo-France Models from OpenMeteoData

Regulatory:

• IRS 990 Filings in Spreadsheets from Applied Nonprofit Research

 

The AWS Public Dataset Program covers the cost of storage for publicly available high-value cloud-optimized datasets. We work with data providers who seek to:

• Democratize access to data by making it available for analysis on AWS.

• Develop new cloud-native techniques, formats, and tools that lower the cost of working with data.

• Encourage the development of communities that benefit from access to shared datasets.

^{Modified 12/9/2021 – In an effort to ensure a great experience, expired links in this post have been updated or removed from the original post.}