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

Posted on: Apr 11, 2019

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.}