Registry of Open Data on AWS

A repository of publicly available datasets that are available for access from AWS resources. Note that datasets in this registry are available via AWS resources, but they are not provided by AWS; these datasets are owned and maintained by a variety of government organizations, researchers, businesses, and individuals.

What is this for?

When data is shared on AWS, anyone can analyze it and build services on top of it using a broad range of compute and data analytics products, including Amazon EC2, Amazon Athena, AWS Lambda, and Amazon EMR. Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. This repository exists to help people promote and discover datasets that are available via AWS resources.

How are datasets added to the registry?

Each dataset in this repository is described with metadata saved in a YAML file in the /datasets directory. We use these YAML files to provide three services:

• A Registry of Open Data on AWS browser.
• A hosted YAML file listing all of the dataset entries.
• Hosted YAML files for each dataset.

The YAML files use this structure:

Name:
Description:
Documentation:
Contact:
ManagedBy:
UpdateFrequency:
Tags:
  -
License:
Citation:
Resources:
  - Description:
    ARN:
    Region:
    Type:
    Explore:
DataAtWork:
  Tutorials:
    - Title:
      URL:
      NotebookURL:
      AuthorName:
      AuthorURL:
      Services:
  Tools & Applications:
    - Title:
      URL:
      AuthorName:
      AuthorURL:
  Publications:
    - Title:
      URL:
      AuthorName:
      AuthorURL:
DeprecatedNotice:
ADXCategories:
  -    

The metadata required for each dataset entry is as follows:

Note also that we use the name of each YAML file as the URL slug for each dataset on the Registry of Open Data on AWS website. E.g. the metadata from 1000-genomes.yaml is listed at https://registry.opendata.aws/1000-genomes/

Example entry

Here is an example of the metadata behind this dataset registration: https://registry.opendata.aws/noaa-nexrad/

Name: NEXRAD on AWS
Description: Real-time and archival data from the Next Generation Weather Radar (NEXRAD) network.
Documentation: https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad
Contact: noaa.bdp@noaa.gov
ManagedBy: "[NOAA](http://www.noaa.gov/)"
UpdateFrequency: New Level II data is added as soon as it is available.
Tags:
  - aws-pds
  - earth observation
  - natural resource
  - weather
  - meteorological
  - sustainability
License: There are no restrictions on the use of this data.
Resources:
  - Description: NEXRAD Level II archive data
    ARN: arn:aws:s3:::noaa-nexrad-level2
    Region: us-east-1
    Type: S3 Bucket
    Explore:
    - '[Browse Bucket](https://noaa-nexrad-level2.s3.amazonaws.com/index.html)'
  - Description: NEXRAD Level II real-time data
    ARN: arn:aws:s3:::unidata-nexrad-level2-chunks
    Region: us-east-1
    Type: S3 Bucket
  - Description: "[Rich notifications](https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad#subscribing-to-nexrad-data-notifications) for real-time data with filterable fields"
    ARN: arn:aws:sns:us-east-1:684042711724:NewNEXRADLevel2ObjectFilterable
    Region: us-east-1
    Type: SNS Topic
  - Description: Notifications for archival data
    ARN: arn:aws:sns:us-east-1:811054952067:NewNEXRADLevel2Archive
    Region: us-east-1
    Type: SNS Topic
DataAtWork:
  Tutorials:
    - Title: NEXRAD on EC2 tutorial
      URL: https://github.com/openradar/AMS_radar_in_the_cloud
      Services: EC2
      AuthorName: openradar
      AuthorURL: https://github.com/openradar
    - Title: Using Python to Access NCEI Archived NEXRAD Level 2 Data (Jupyter notebook)
      URL: http://nbviewer.jupyter.org/gist/dopplershift/356f2e14832e9b676207
      AuthorName: Ryan May
      AuthorURL: http://dopplershift.github.io
    - Title: Mapping Noaa Nexrad Radar Data With CARTO
      URL: https://carto.com/blog/mapping-nexrad-radar-data/
      AuthorName: Stuart Lynn
      AuthorURL: https://carto.com/blog/author/stuart-lynn/
  Tools & Applications:
    - Title: nexradaws on pypi.python.org - python module to query and download Nexrad data from Amazon S3
      URL: https://pypi.org/project/nexradaws/
      AuthorName: Aaron Anderson
      AuthorURL: https://github.com/aarande
    - Title: WeatherPipe - Amazon EMR based analysis tool for NEXRAD data stored on Amazon S3
      URL: https://github.com/stephenlienharrell/WeatherPipe
      AuthorName: Stephen Lien Harrell
      AuthorURL: https://github.com/stephenlienharrell
  Publications:
    - Title: Seasonal abundance and survival of North America’s migratory avifauna determined by weather radar
      URL: https://www.nature.com/articles/s41559-018-0666-4
      AuthorName: Adriaan M. Dokter, Andrew Farnsworth, Daniel Fink, Viviana Ruiz-Gutierrez, Wesley M. Hochachka, Frank A. La Sorte, Orin J. Robinson, Kenneth V. Rosenberg & Steve Kelling
    - Title: Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership
      URL: https://journals.ametsoc.org/doi/full/10.1175/BAMS-D-16-0021.1
      AuthorName: Steve Ansari and Stephen Del Greco

How can I contribute?

You are welcome to contribute dataset entries or usage examples to the Registry of Open Data on AWS. Please review our contribution guidelines.

New to Github and contributing via pull requests?

In addition to Github's getting started documentation, this video tutorial shows the complete end-to-end process of contributing to this repository.