awesome-public-datasets README

The project's README from github.com/awesomedata/awesome-public-datasets. As one markdown file: README.md.

Awesome Public Datasets

.. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg :alt: Awesome :target: https://github.com/sindresorhus/awesome

This is a list of topic-centric public data sources <https://github.com/awesomedata/awesome-public-datasets>_ in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not. This project was incubated at OMNILab <https://github.com/OMNILab>, Shanghai Jiao Tong University during Xiaming Chen's Ph.D. studies. OMNILab is now part of the BaiYuLan Open AI community <https://github.com/Bai-Yu-Lan>. Other amazingly awesome lists can be found in sindresorhus's awesome <https://github.com/sindresorhus/awesome>_ list.

NOTICE: This repo is automatically generated by apd-core <https://github.com/awesomedata/apd-core/tree/master/core>. Please DO NOT modify this file directly. We have provided a new way to contribute to this repo <https://github.com/awesomedata/apd-core/blob/master/CONTRIBUTING.md>. Join <https://join.slack.com/t/awesomedataworld/shared_invite/zt-dllew5xy-PJYi~mWUdY3hupohbmVZsA>_ the slack community <https://awesomedataworld.slack.com>_ for an instant touch of HQ data updates.

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.. contents:: Table of Contents

Agriculture

Architecture

Biology

Chemistry

awesome-public-datasets (awesomedata/awesome-public-datasets)

Searching Database…

What is this?A huge topic-centric list of high-quality open public datasets, organized by subject area like biology, chemistry, economics, and more.
Is this one big dataset or an index of many?It is an index: a curated README linking out to hundreds of external datasets, each with a short description and source link, grouped by topic rather than hosted here.
How is the list organized, and where should I start?Entries are grouped under topic headings such as Biology, Chemistry, and others, each entry listing the dataset name, a short description, and a link to the source; browse the topic matching your interest and click through to the original data provider.
Do I need any tools or accounts to use these datasets?No, this repo itself is just a markdown/reST index; requirements depend entirely on each external dataset's own access terms, which vary by source.
Are all the linked datasets actually working and up to date?No, some entries are marked as broken with a FIXME icon next to them, meaning the link or dataset status is unverified or outdated, alongside OK-marked entries that are confirmed good.
Who is this useful for?Data scientists, researchers, and machine learning practitioners looking for free public datasets across many domains like genomics, chemistry, and species data.
Are entries vetted for quality?Yes, entries are marked with OK or FIXME icons indicating whether the link/dataset has been verified as working, giving a quick signal of reliability before you click through.
Is the list still updated?Yes, it includes recently added entries like a 2026 peptide dataset, suggesting ongoing maintenance and additions.
What kinds of topics are covered?Topics span biology, chemistry, genomics, agriculture, and many other scientific and general-interest domains, each with its own section of linked datasets.
Who was Aaron Swartz and why is he referenced?The project topic 'aaron-swartz' honors the open-data activist Aaron Swartz, reflecting the list's mission of promoting free access to public data.
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