Awesome Public Datasets

一个包含高质量公开数据集的列表，涵盖多个领域，如农业、生物学、气候/天气等。

A list of high-quality public datasets spanning various fields such as agriculture, biology, climate/weather, and more.

原始信息汇总

数据集概述

本数据集名为“Awesome Public Datasets”，是一个收集并整理自博客、问答和用户响应的公共数据源列表。数据集中的大多数数据集是免费的，但也有一些不是。该列表涵盖了多个领域的数据集，包括但不限于农业、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、地理空间/GIS、政府、医疗保健、图像处理等。

数据集内容

农业

• U.S. Department of Agricultures PLANTS Database

生物学

• 1000 Genomes
• American Gut (Microbiome Project)
• 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
• NIH Microarray data
• OpenSNP genotypes data
• Pathguid - Protein-Protein Interactions Catalog
• Protein Data Bank
• PubChem Project
• PubGene (now Coremine Medical)
• Sequence Read Archive(SRA)
• Stanford Microarray Data
• Stowers Institute Original Data Repository
• Systems Science of Biological Dynamics (SSBD) Database
• 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

• 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
• Massive Visual Memory Stimuli, MIT
• Several Shape-from-Silhou

以上数据集涵盖了多个领域，为研究人员和数据分析师提供了丰富的资源。每个数据集的具体内容和使用方法请参考各自的超链接。

搜集汇总

数据集介绍

构建方式

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。该数据集的构建主要通过从网络上搜集各种公开的数据源，并对这些数据进行分类整理，形成一个包含多个领域数据集的资源库。

使用方法

使用该数据集的方法主要包括直接访问数据集链接，根据数据集的描述和提供的资源进行下载或访问。用户可以根据自己的研究需求，选择相应的数据集进行数据分析和应用开发。对于每个数据集，用户应当仔细阅读其使用条款，以确保合法合规地使用数据。

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。该数据集创建于未知时间，由sindresorhus等人维护，主要目的是为了提供一个免费且易于访问的公共数据集资源，涵盖了从农业到医疗保健等各个领域的丰富数据资源，对相关领域的研究和实践产生了积极的影响。

当前挑战

该数据集在构建过程中遇到的挑战主要包括：1)数据的收集和整理，因为数据来源于多个不同的渠道，需要花费大量的时间和精力进行筛选和整理；2)数据的多样性和质量保证，由于数据集包含了多个领域的数据，确保数据的质量和一致性是一个挑战；3)数据的更新和维护，随着新数据的不断出现，需要定期更新数据集以保持其相关性和实用性。

常用场景

经典使用场景

Awesome Public Datasets 是一个收集和整理公开数据集的仓库，其经典使用场景包括为研究人员提供一站式资源，以便他们能够轻松地发现和访问各种领域的公共数据集，例如生物学、气候学、复杂网络、计算机网络、地理信息系统等。

解决学术问题

该数据集解决了研究人员在寻找和整合公共数据时面临的问题，提高了数据获取的效率，同时也促进了数据共享和开放访问，对学术研究的透明度和复现性有重要影响。

实际应用

在实际应用中，Awesome Public Datasets 可以为数据科学家、分析师和开发人员提供丰富的数据资源，支持他们进行数据挖掘、机器学习模型训练和各类数据分析项目。

数据集最近研究

最新研究方向

该数据集包含了多个领域的公共数据集，如生物、气候、网络、地理等。在生物领域，1000 Genomes和American Gut等数据集为基因组学和微生物组学研究提供了丰富的资源。气候数据集如NASA Global Imagery Browse Services则支持气候变化研究。在复杂网络领域，Protein-protein interaction network等数据集促进了生物信息学的研究。此外，政府公开数据如US Census Bureau和The World Bank等，为社会科学研究提供了重要数据源。这些数据集在本领域的前沿研究中发挥着重要作用，推动了相关领域的科学研究进展。