Awesome Public Datasets

一个包含高质量开放数据集的列表，这些数据集来自公共领域，且持续更新中。

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

原始信息汇总

数据集概述

数据集来源

本数据集名为“Awesome Public Datasets”，收集并整理自博客、问答和用户反馈，主要包含公开可用的数据源。

数据集内容

数据集涵盖多个领域，包括但不限于：

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)
• Complete Genomics Public Data
• 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 Genome Diversity Project
• Human Microbiome Project (HMP)
• ICOS PSP Benchmark
• International HapMap Project
• Journal of Cell Biology DataViewer
• MIT Cancer Genomics Data
• NCBI Proteins
• NCBI Taxonomy
• NeuroData
• 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
• Temple University Hospital EEG Database
• The Cancer Genome Atlas (TCGA), available via Broad GDAC
• The Catalogue of Life
• The Personal Genome Project
• UCSC Public Data
• Universal Protein Resource (UnitProt)
• 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
• Stanford Longitudinal Network Data Sources
• 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

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

教育

• Student Data from Free Code Camp

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

• 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
• GeoFabrik - OSM data extracted to a variety of formats and areas
• 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
• National Weather Service GIS Data Portal
• Natural Earth - vectors and rasters of the world
• OpenAddresses
• OpenStreetMap (OSM)
• Pleiades - Gazetteer and graph of ancient places
• Reverse Geocoder using OSM data
• TIGER/Line - U.S. boundaries and roads
• TwoFishes - Foursquares coarse geocoder
• TZ Timezones shapfiles
• UN Environmental Data
• World boundaries from the U.S. Department of State
• 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
• Greece
• Guardian world governments
• Halifax, NS, Canada
• Helsinki Region, Finland
• Hong Kong, China
• Houston Open Data
• Indian Government Data
• Indonesian Data Portal
• Irelands Open Data Portal
• Japan
• Laval, QC, Canada
• Lexington, KY
• 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
• Portugal - Pordata organization
• 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
• Vienna, Austria

医疗保健

• EHDP Large Health Data Sets
• Gapminder World demographic databases
• Medicare Coverage Database (MCD), U.S.

搜集汇总

数据集介绍

构建方式

Awesome Public Datasets 是一个收集自博客、回答和用户响应的公共数据集列表。该数据集的构建主要通过从各种在线资源中整理和分类已有的公共数据集，涵盖了多个领域的数据资源，旨在为研究者提供方便的数据访问途径。

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。每个数据集的页面通常包含了数据集的描述、数据格式、使用条款等信息，用户应当仔细阅读这些信息以确保合法合规地使用数据。此外，一些数据集可能需要特定的工具或软件来处理和分析数据。

背景与挑战

背景概述

Awesome Public Datasets是一个收集和整理自博客、回答和用户响应的公共数据集列表。该数据集主要由sindresorhus维护，大部分列出的数据集是免费的，但也有一些不是。此外，在awesome-awesomeness和sindresorhus's awesome列表中还可以找到其他令人惊叹的数据集。

当前挑战

该数据集的构建过程中遇到的挑战主要包括：1) 如何从众多来源中筛选和整理出高质量、有用的数据集；2) 如何确保数据集的可持续更新和维护；3) 如何处理数据集的版权和许可问题。

常用场景

经典使用场景

Awesome Public Datasets作为一个汇总了众多公开数据集的资源列表，其经典使用场景在于为研究人员、开发者和数据科学家提供了一个便捷的平台，他们可以在此找到并访问各种领域的数据集，例如生物信息学、气候学、网络分析等，以支持他们的研究和项目需求。

解决学术问题

该数据集解决了学术研究中数据获取的难题，尤其是对于那些需要大量且多样化数据集的领域。它通过提供一个结构化的数据集列表，帮助研究者快速定位到所需的数据资源，提高了研究效率，也促进了学术研究的开放性和透明度。

实际应用

在实际应用中，Awesome Public Datasets可以被用于教育培训、商业智能分析、政府决策支持等多个方面。例如，教育机构可以利用这些数据集进行数据分析的教学，企业则可以利用这些数据进行市场趋势分析或产品开发。

数据集最近研究

最新研究方向

‘Awesome Public Datasets’数据集涵盖了多个领域，其在本领域的前沿研究方向主要集中在数据的开放获取与共享，以及如何利用这些数据进行创新研究。相关联的热点事件包括数据共享政策的变化、大数据技术在科研中的应用等。这些数据集的影响和意义在于推动了科学研究的发展，降低了研究成本，促进了跨学科的合作。