Free | Publicly available
A corpus of web crawl data composed of over 50 billion web pages.
About AWS Open Data Sponsorship Program
This program exists to help people discover and share data sets that are available by using AWS resources. Unless specifically stated in the applicable data set documentation, data sets available through the Registry of Open Data on AWS are not provided or maintained by AWS. Data sets are provided and maintained by a variety of third parties under a variety of licenses. Please check data set licenses and related documentation to determine if a data set may be used for you application. If you have a project using a listed data set please tell us about it at opendata@amazon.com.
AWS Open Data Sponsorship Program
AWS Open Data Sponsorship Program Products (314)
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Free | Publicly available
This release consists of simulated data products designed to mimic observations of the same region of the sky as seen by two astronomical facilities: the Nancy Grace Roman Telescope and the Vera C. Rubin Observatory.
Free | Publicly available
The UCSC Genome Browser is an online graphical viewer for genomes, a genome browser, hosted by the University of California, Santa Cruz (UCSC). The interactive website offers access to genome sequence data from a variety of vertebrate and invertebrate species and major model organisms, integrated with a large collection of aligned annotations. This dataset is a copy of the MySQL tables in MyISAM binary and tab-sep format and all binary files in custom formats, sometimes referred as 'gbdb'-files. Data from the UCSC Genome Browser is free and open for use by anyone. However, every genome annotation track has been created by an academic research group, or, in a few cases, by commercial companies. Please acknowledge them by citing them. The information can be found by going to https://genome.ucsc.edu, selecting the respective genome assembly and clicking on the data track. At the end of the documentation, we provide a list of references and acknowledgements.
Free | Publicly available
Genomic tools use reference databases as indexes to operate quickly and efficiently, analogous to how web search engines use indexes for fast querying. Here, we aggregate genomic, pan-genomic and metagenomic indexes for analysis of sequencing data.
Free | Publicly available
The REaltime DAta Synthesis and Analysis (REDASA) COVID-19 snapshot contains the output of the curation protocol produced by our curator community. A detailed description can be found in our paper. The first S3 bucket listed in Resources contains a large collection of medical documents in text format extracted from the CORD-19 dataset, plus other sources deemed relevant by the REDASA consortium. The second S3 bucket contains a series of documents surfaced by Amazon Kendra that were considered relevant for each medical question asked. The final S3 bucket contains the GroundTruth annotations created by our curator community.
Free | Publicly available
A free software, global observation network for detecting censorship, surveillance and traffic manipulation on the internet.
Free | Publicly available
14k QA pairs over 1.7K paragraphs, split between train (10k QAs), development (1.6k QAs) and a hidden test partition (1.7k QAs).
Free | Publicly available
The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects. The summary data provided here are released for the benefit of the wider scientific community without restriction on use. The v4.1 data set (GRCh38) spans 730,947 exome sequences and 76,215 whole-genome sequences from unrelated individuals, of diverse ancestries, sequenced sequenced as part of various disease-specific and population genetic studies. The gnomAD Principal Investigators and team can be found here, and the groups that have contributed data to the current release are listed here. Sign up for the gnomAD mailing list here.
Free | Publicly available
The State of Indiana Geographic Information Office and IOT Office of Technology manage a series of digital LiDAR LAS files stored in AWS, dating back to the 2011-2013 collection and including the NRCS-funded 2016-2020 collection. These LiDAR datasets are available as uncompressed LAS files, for cloud storage and access. Each year's data is organized into a tile grid scheme covering the entire geography of Indiana, ensuring easy access and efficient processing. The tiles' naming reflects each tile's lower left coordinate, facilitating accurate data management and retrieval. The AWS storage solution ensures that these extensive datasets are readily accessible for analysis and application across various projects.
Free | Publicly available
This study generated a collection of patient-derived pancreatic normal and cancer organoids and it was sequenced using Whole Genome Sequencing (WGS), Whole Exome Sequencing (WXS) and RNA-Seq as well as matched tumor and normal tissue if available. The study provides a valuable resource for pancreatic cancer researchers. The dataset contains open RNA-Seq Gene Expression Quantification data and controlled WGS/WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, and RNA-Seq Splice Junction Quantification.
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