https://github.com/opengeos/aws-open-data

A list of open datasets on AWS
https://github.com/opengeos/aws-open-data

amazon-web-services aws data-science deep-learning geospatial machine-learning open-data

Last synced: 11 months ago
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A list of open datasets on AWS

• Host: GitHub
• URL: https://github.com/opengeos/aws-open-data
• Owner: opengeos
• License: mit
• Created: 2022-12-18T22:39:14.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2025-07-09T05:02:21.000Z (11 months ago)
• Last Synced: 2025-07-09T06:22:45.939Z (11 months ago)
• Topics: amazon-web-services, aws, data-science, deep-learning, geospatial, machine-learning, open-data
• Language: Python
• Homepage:
• Size: 6.96 MB
• Stars: 42
• Watchers: 2
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# aws-open-data

[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/giswqs/aws-open-data/blob/master/aws_open_datasets.ipynb)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/aws-open-data/HEAD?labpath=aws_open_datasets.ipynb)

[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Introduction

The [AWS Open Data](https://registry.opendata.aws/) program hosts a lot of publicly available datasets. This repo compiles the list of all datasets on AWS as a CSV file and as a JSON file, making it easier to find and use them programmatically. The list is updated daily.

A complete list of AWS open datasets as individual YAML files is available [here](https://github.com/awslabs/open-data-registry).

## Usage

This repo provides the list of AWS open datasets in two formats:

- Tab separated values (TSV) file: [aws_open_datasets.tsv](https://github.com/giswqs/aws-open-data/blob/master/aws_open_datasets.tsv)

- JSON file: [aws_open_datasets.json](https://github.com/giswqs/aws-open-data/blob/master/aws_open_datasets.json)

The TSV file can be easily read into a Pandas DataFrame using the following code:

```python

import pandas as pd

url = 'https://github.com/giswqs/aws-open-data/raw/master/aws_open_datasets.tsv'

df = pd.read_csv(url, sep='\t')

df.head()

```

## Related Projects

- A list of open datasets on AWS: [aws-open-data](https://github.com/giswqs/aws-open-data)

- A list of open geospatial datasets on AWS: [aws-open-data-geo](https://github.com/giswqs/aws-open-data-geo)

- A list of open geospatial datasets on AWS with a STAC endpoint: [aws-open-data-stac](https://github.com/giswqs/aws-open-data-stac)

- A list of STAC endpoints from stacindex.org: [stac-index-catalogs](https://github.com/giswqs/stac-index-catalogs)

- A list of geospatial datasets on Microsoft Planetary Computer: [Planetary-Computer-Catalog](https://github.com/giswqs/Planetary-Computer-Catalog)

- A list of geospatial datasets on Google Earth Engine: [Earth-Engine-Catalog](https://github.com/giswqs/Earth-Engine-Catalog)

- A list of geospatial datasets on NASA's Common Metadata Repository (CMR): [NASA-CMR-STAC](https://github.com/giswqs/NASA-CMR-STAC)

- A list of geospatial data catalogs: [geospatial-data-catalogs](https://github.com/giswqs/geospatial-data-catalogs)