awesome-public-datasets

一个包含高质量公开数据集的列表，这些数据集来自公共领域，持续更新中。

A list of high-quality public datasets sourced from the public domain, continuously updated.

原始信息汇总

数据集概述

农业

• U.S. Department of Agricultures PLANTS Database

生物学

• 1000 Genomes
• American Gut (Microbiome Project)
• Broad Cancer Cell Line Encyclopedia (CCLE)
• Cell Image Library
• Collaborative Research in Computational Neuroscience (CRCNS)
• EBI ArrayExpress
• EBI Protein Data Bank in Europe
• ENCODE project
• Ensembl Genomes
• Gene Expression Omnibus (GEO)
• Gene Ontology (GO)
• Global Biotic Interactions (GloBI)
• Harvard Medical School (HMS) LINCS Project
• Human Microbiome Project (HMP)
• ICOS PSP Benchmark
• Journal of Cell Biology DataViewer
• MIT Cancer Genomics Data
• NIH Microarray data
• OpenSNP genotypes data
• Pathguid - Protein-Protein Interactions Catalog
• Protein Data Bank
• PubChem Project
• PubGene (now Coremine Medical)
• Sanger Catalogue of Somatic Mutations in Cancer (COSMIC)
• Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC)
• Sequence Read Archive(SRA)
• Stanford Microarray Data
• Stowers Institute Original Data Repository
• Systems Science of Biological Dynamics (SSBD) Database
• The Cancer Genome Atlas (TCGA), available via Broad GDAC
• The Catalogue of Life
• The Personal Genome Project
• UCSC Public Data
• UniGene

气候/天气

• Australian Weather
• Brazilian Weather - Historical data (In Portuguese)
• Canadian Meteorological Centre
• Climate Data from UEA (updated monthly)
• European Climate Assessment & Dataset
• Global Climate Data Since 1929
• NASA Global Imagery Browse Services
• NOAA Bering Sea Climate
• NOAA Climate Datasets
• NOAA Realtime Weather Models
• The World Bank Open Data Resources for Climate Change
• UEA Climatic Research Unit
• WorldClim - Global Climate Data
• WU Historical Weather Worldwide

复杂网络

• CrossRef DOI URLs
• DBLP Citation dataset
• NBER Patent Citations
• NIST complex networks data collection
• Protein-protein interaction network
• PyPI and Maven Dependency Network
• Scopus Citation Database
• Small Network Data
• Stanford GraphBase (Steven Skiena)
• Stanford Large Network Dataset Collection
• The Koblenz Network Collection
• The Laboratory for Web Algorithmics (UNIMI)
• The Nexus Network Repository
• UCI Network Data Repository
• UFL sparse matrix collection
• WSU Graph Database
• Stanford Longitudinal Network Data Sources

计算机网络

• 3.5B Web Pages from CommonCraw 2012
• 53.5B Web clicks of 100K users in Indiana Univ.
• CAIDA Internet Datasets
• ClueWeb09 - 1B web pages
• ClueWeb12 - 733M web pages
• CommonCrawl Web Data over 7 years
• CRAWDAD Wireless datasets from Dartmouth Univ.
• Criteo click-through data
• Open Mobile Data by MobiPerf
• UCSD Network Telescope, IPv4 /8 net

上下文数据

• Context-aware data sets from five domains

数据挑战

• Challenges in Machine Learning
• CrowdANALYTIX dataX
• D4D Challenge of Orange
• DrivenData Competitions for Social Good
• ICWSM Data Challenge (since 2009)
• Kaggle Competition Data
• KDD Cup by Tencent 2012
• Localytics Data Visualization Challenge
• Netflix Prize
• Space Apps Challenge
• Telecom Italia Big Data Challenge
• Yelp Dataset Challenge

经济学

• American Economic Ass (AEA)
• EconData from UMD
• Economic Freedom of the World Data
• Historical MacroEconomic Statistics
• International Trade Statistics
• Internet Product Code Database
• Joint External Debt Data Hub
• Jon Haveman International Trade Data Links
• OpenCorporates Database of Companies in the World
• Our World in Data
• SciencesPo World Trade Gravity Datasets
• The Atlas of Economic Complexity
• The Center for International Data
• The Observatory of Economic Complexity
• UN Commodity Trade Statistics
• UN Human Development Reports

能源

• AMPds
• BLUEd
• COMBED
• Dataport
• ECO
• EIA
• HFED
• iAWE
• Plaid
• REDD
• UK-Dale

金融

• CBOE Futures Exchange
• Google Finance
• Google Trends
• NASDAQ
• OANDA
• OSU Financial data
• Quandl
• St Louis Federal
• Yahoo Finance

地质学

• Earth Models
• Smithsonian Institution Global Volcano and Eruption Database
• USGS Earthquake Archives

地理空间/GIS

• BODC - marine data of ~22K vars
• Cambridge, MA, US, GIS data on GitHub
• EOSDIS - NASAs earth observing system data
• Factual Global Location Data
• Geo Spatial Data from ASU
• Geo Wiki Project - Citizen-driven Environmental Monitoring
• GeoNames Worldwide
• Global Administrative Areas Database (GADM)
• International Institute for Systems Analysis - GIS Datasets
• Landsat 8 on AWS
• List of all countries in all languages
• Natural Earth - vectors and rasters of the world
• OpenAddresses
• OpenStreetMap (OSM)
• Reverse Geocoder using OSM data
• TIGER/Line - U.S. boundaries and roads
• TwoFishes - Foursquares coarse geocoder
• TZ Timezones shapfiles
• UN Environmental Data
• World countries in multiple formats

政府

• Alberta, Province of Canada
• Antwerp, Belgium
• Argentina (non official)
• Argentina
• Austin, TX, US
• Australia (abs.gov.au)
• Australia (data.gov.au)
• Austria (data.gv.at)
• Baton Rouge, LA, US
• Belgium
• Brazil
• Buenos Aires, Argentina
• Calgary, AB, Canada
• Cambridge, MA, US
• Canada
• Chicago
• Dallas Open Data
• DataBC - data from the Province of British Columbia
• Denver Open Data
• Durham, NC Open Data
• Edmonton, AB, Canada
• England LGInform
• EuroStat
• FedStats
• Finland
• France
• Fredericton, NB, Canada
• Gatineau, QC, Canada
• Germany
• Ghent, Belgium
• Glasgow, Scotland, UK
• Guardian world governments
• Halifax, NS, Canada
• Helsinki Region, Finland
• Houston Open Data
• Indian Government Data
• Indonesian Data Portal
• Laval, QC, Canada
• London Datastore, UK
• London, ON, Canada
• Los Angeles Open Data
• MassGIS, Massachusetts, U.S.
• Mexico
• Missisauga, ON, Canada
• Moncton, NB, Canada
• Montreal, QC, Canada
• Netherlands
• New Zealand
• NYC betanyc
• NYC Open Data
• OECD
• Oklahoma
• Open Government Data (OGD) Platform India
• Oregon
• Ottawa, ON, Canada
• Portland, Oregon
• Puerto Rico Government
• Quebec City, QC, Canada
• Quebec Province of Canada
• Regina SK, Canada
• Rio de Janeiro, Brazil
• Romania
• Russia
• San Francisco Data sets
• Saskatchewan, Province of Canada
• Seattle
• Singapore Government Data
• South Africa
• South Africa Trade Statistics
• State of Utah, US
• Switzerland
• Texas Open Data
• The World Bank
• Toronto, ON, Canada
• U.K. Government Data
• U.S. American Community Survey
• U.S. CDC Public Health datasets
• U.S. Census Bureau
• U.S. Department of Housing and Urban Development (HUD)
• U.S. Federal Government Agencies
• U.S. Federal Government Data Catalog
• U.S. Food and Drug Administration (FDA)
• U.S. National Center for Education Statistics (NCES)
• U.S. Open Government
• UK 2011 Census Open Atlas Project
• United Nations
• Uruguay
• Vancouver, BC Open Data Catalog
• Victoria, BC, Canada

医疗保健

• EHDP Large Health Data Sets
• Gapminder World demographic databases
• Medicare Coverage Database (MCD), U.S.
• Medicare Data Engine of medicare.gov Data
• Medicare Data File
• MeSH, the vocabulary thesaurus used for indexing articles for PubMed
• Number of Ebola Cases and Deaths in Affected Countries (2014)
• Open-ODS (structure of the UK NHS)
• The Cancer Genome Atlas project (TCGA)
• World Health Organization Global Health Observatory

图像处理

• 10k US Adult Faces Database
• 2GB of Photos of Cats
• Affective Image Classification
• Animals with attributes
• Face Recognition Benchmark
• ImageNet (in WordNet hierarchy)
• Indoor Scene Recognition
• International Affective Picture System, UFL

搜集汇总

数据集介绍

构建方式

该数据集通过从博客、回答和用户响应中收集和整理公共数据源而构建，涵盖了多个领域的公共数据集，旨在提供一个综合性的公共数据集列表。

使用方法

用户可以通过直接访问数据集提供的链接来使用这些数据。每个数据集通常都有详细的说明，包括数据集的构成、使用方法和相关文档，以便用户能够有效地利用这些数据集进行研究和分析。

背景与挑战

背景概述

‘awesome-public-datasets’是一个由sindresorhus创建和维护的GitHub项目，旨在收集和整理网络上公开的数据集资源。该项目汇集了来自不同领域的众多数据集，包括农业、生物学、气候、复杂网络、计算机网络、上下文数据、数据挑战、经济学、能源、金融、地质学、地理信息系统、政府、健康护理、图像处理等多个领域。这些数据集主要来源于网络上的博客、问答和用户响应，其中大部分是免费的，但也有一些不是。该项目是对开源数据集资源的一次全面梳理，对相关领域的研究人员提供了极大的便利。

当前挑战

在构建‘awesome-public-datasets’的过程中，主要面临的挑战包括如何确保数据的准确性和时效性，以及如何有效地整合和分类来自不同领域的数据集。此外，数据集的多样性也带来了如何在保证数据质量的同时，满足不同用户需求的问题。具体到所解决的领域问题，例如在图像分类领域，如何处理和分类大量的图像数据，以及如何确保这些图像数据标注的准确性，都是需要克服的挑战。

常用场景

经典使用场景

该数据集主要被用于搜集和整理网络上公开的数据集资源，其经典的使用场景在于为研究者提供了一个丰富的数据集列表，方便他们根据自己的研究需求快速定位和访问相关数据。

解决学术问题

该数据集解决了研究者寻找和获取公开数据集的难题，减少了数据搜集的时间和精力成本，有助于推动学术研究的进展。

实际应用

在实际应用中，该数据集可用于教育、研究、数据分析和决策支持等多个领域，为不同行业提供了数据基础。

数据集最近研究

最新研究方向

该数据集涵盖了多个领域的公共数据集，包括农业、生物学、气候/天气、复杂网络、计算机网络、上下文数据、数据挑战、经济学、能源、金融、地质学、地理空间/GIS、政府、医疗保健、图像处理等领域。在近期的研究中，该数据集的方向主要聚焦于如何高效地索引和访问这些丰富的数据资源，以及如何利用这些数据进行深度学习、数据挖掘和大数据分析等前沿研究。特别是，复杂网络和计算机网络的子领域，如社交网络分析和互联网数据挖掘，已成为研究的热点。此外，随着人工智能技术在医疗保健和图像处理领域的应用日益增多，相关的研究也呈现出快速增长的态势。