awesome-public-datasets

一个包含高质量公开数据集的精选列表，这些数据集来自公共领域，由大家收集整理，供大家使用。

A curated list of high-quality public datasets, sourced from the public domain, collected and organized by the community for everyone to use.

原始信息汇总

数据集概述

农业

• U.S. Department of Agricultures PLANTS Database
  • 链接: http://www.plants.usda.gov/dl_all.html

生物学

• 1000 Genomes
  • 链接: http://www.1000genomes.org/data
• American Gut (Microbiome Project)
  • 链接: https://github.com/biocore/American-Gut
• Broad Cancer Cell Line Encyclopedia (CCLE)
  • 链接: http://www.broadinstitute.org/ccle/home
• Broad Bioimage Benchmark Collection (BBBC)
  • 链接: https://www.broadinstitute.org/bbbc
• Cell Image Library
  • 链接: http://www.cellimagelibrary.org
• Complete Genomics Public Data
  • 链接: http://www.completegenomics.com/public-data/69-genomes/
• EBI ArrayExpress
  • 链接: http://www.ebi.ac.uk/arrayexpress/
• EBI Protein Data Bank in Europe
  • 链接: http://www.ebi.ac.uk/pdbe/emdb/index.html/
• Electron Microscopy Pilot Image Archive (EMPIAR)
  • 链接: http://www.ebi.ac.uk/pdbe/emdb/empiar/
• ENCODE project
  • 链接: https://www.encodeproject.org
• Ensembl Genomes
  • 链接: http://ensemblgenomes.org/info/genomes
• Gene Expression Omnibus (GEO)
  • 链接: http://www.ncbi.nlm.nih.gov/geo/
• Gene Ontology (GO)
  • 链接: http://geneontology.org/page/download-annotations
• Global Biotic Interactions (GloBI)
  • 链接: https://github.com/jhpoelen/eol-globi-data/wiki#accessing-species-interaction-data
• Harvard Medical School (HMS) LINCS Project
  • 链接: http://lincs.hms.harvard.edu
• Human Genome Diversity Project
  • 链接: http://www.hagsc.org/hgdp/files.html
• Human Microbiome Project (HMP)
  • 链接: http://www.hmpdacc.org/reference_genomes/reference_genomes.php
• ICOS PSP Benchmark
  • 链接: http://ico2s.org/datasets/psp_benchmark.html
• International HapMap Project
  • 链接: http://hapmap.ncbi.nlm.nih.gov/downloads/index.html.en
• Journal of Cell Biology DataViewer
  • 链接: http://jcb-dataviewer.rupress.org
• MIT Cancer Genomics Data
  • 链接: http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi
• NCBI Proteins
  • 链接: http://www.ncbi.nlm.nih.gov/guide/proteins/#databases
• NCBI Taxonomy
  • 链接: http://www.ncbi.nlm.nih.gov/taxonomy
• NIH Microarray data
  • 链接: http://bit.do/VVW6 或 FTP: ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE6532/
• OpenSNP genotypes data
  • 链接: https://opensnp.org/
• Pathguid - Protein-Protein Interactions Catalog
  • 链接: http://www.pathguide.org/
• Protein Data Bank
  • 链接: http://www.rcsb.org/
• Psychiatric Genomics Consortium
  • 链接: https://www.med.unc.edu/pgc/downloads
• PubChem Project
  • 链接: https://pubchem.ncbi.nlm.nih.gov/
• PubGene (now Coremine Medical)
  • 链接: http://www.pubgene.org/
• Sanger Catalogue of Somatic Mutations in Cancer (COSMIC)
  • 链接: http://cancer.sanger.ac.uk/cosmic
• Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC)
  • 链接: http://www.cancerrxgene.org/
• Sequence Read Archive(SRA)
  • 链接: http://www.ncbi.nlm.nih.gov/Traces/sra/
• Stanford Microarray Data
  • 链接: http://smd.stanford.edu/
• Stowers Institute Original Data Repository
  • 链接: http://www.stowers.org/research/publications/odr
• Systems Science of Biological Dynamics (SSBD) Database
  • 链接: http://ssbd.qbic.riken.jp
• The Cancer Genome Atlas (TCGA), available via Broad GDAC
  • 链接: https://gdac.broadinstitute.org/
• The Catalogue of Life
  • 链接: http://www.catalogueoflife.org/content/annual-checklist-archive
• The Personal Genome Project
  • 链接: http://www.personalgenomes.org/ 或 PGP: https://my.pgp-hms.org/public_genetic_data
• UCSC Public Data
  • 链接: http://hgdownload.soe.ucsc.edu/downloads.html
• Universal Protein Resource (UnitProt)
  • 链接: http://www.uniprot.org/downloads
• UniGene
  • 链接: http://www.ncbi.nlm.nih.gov/unigene

气候/天气

• Australian Weather
  • 链接: http://www.bom.gov.au/climate/dwo/
• Aviation Weather Center - Consistent, timely and accurate weather information for the world airspace system
  • 链接: https://aviationweather.gov/adds/dataserver
• Brazilian Weather - Historical data (In Portuguese)
  • 链接: http://sinda.crn2.inpe.br/PCD/SITE/novo/site/
• Canadian Meteorological Centre
  • 链接: http://weather.gc.ca/grib/index_e.html
• Climate Data from UEA (updated monthly)
  • 链接: https://crudata.uea.ac.uk/cru/data/temperature/ 和 ftp://ftp.cmdl.noaa.gov/
• European Climate Assessment & Dataset
  • 链接: http://eca.knmi.nl/
• Global Climate Data Since 1929
  • 链接: http://en.tutiempo.net/climate
• NASA Global Imagery Browse Services
  • 链接: https://wiki.earthdata.nasa.gov/display/GIBS
• NOAA Bering Sea Climate
  • 链接: http://www.beringclimate.noaa.gov/
• NOAA Climate Datasets
  • 链接: http://www.ncdc.noaa.gov/data-access/quick-links
• NOAA Realtime Weather Models
  • 链接: http://www.ncdc.noaa.gov/data-access/model-data/model-datasets/numerical-weather-prediction
• The World Bank Open Data Resources for Climate Change
  • 链接: http://data.worldbank.org/developers/climate-data-api
• UEA Climatic Research Unit
  • 链接: http://www.cru.uea.ac.uk/data
• WorldClim - Global Climate Data
  • 链接: http://www.worldclim.org
• WU Historical Weather Worldwide
  • 链接: https://www.wunderground.com/history/index.html

复杂网络

• AMiner Citation Network Dataset
  • 链接: http://aminer.org/citation
• CrossRef DOI URLs
  • 链接: https://archive.org/details/doi-urls
• DBLP Citation dataset
  • 链接: https://kdl.cs.umass.edu/display/public/DBLP
• NBER Patent Citations
  • 链接: http://nber.org/patents/
• Network Repository with Interactive Exploratory Analysis Tools
  • 链接: http://networkrepository.com/
• NIST complex networks data collection
  • 链接: http://math.nist.gov/~RPozo/complex_datasets.html
• Protein-protein interaction network
  • 链接: http://vlado.fmf.uni-lj.si/pub/networks/data/bio/Yeast/Yeast.htm
• PyPI and Maven Dependency Network
  • 链接: https://ogirardot.wordpress.com/2013/01/31/sharing-pypimaven-dependency-data/
• Scopus Citation Database
  • 链接: https://www.elsevier.com/solutions/scopus
• Small Network Data
  • 链接: http://www-personal.umich.edu/~mejn/netdata/
• Stanford GraphBase (Steven Skiena)
  • 链接: http://www3.cs.stonybrook.edu/~algorith/implement/graphbase/implement.shtml
• Stanford Large Network Dataset Collection
  • 链接: http://snap.stanford.edu/data/
• Stanford Longitudinal Network Data Sources
  • 链接: http://stanford.edu/group/sonia/dataSources/index.html
• The Koblenz Network Collection
  • 链接: http://konect.uni-koblenz.de/
• The Laboratory for Web Algorithmics (UNIMI)
  • 链接: http://law.di.unimi.it/datasets.php
• The Nexus Network Repository
  • 链接: http://nexus.igraph.org/
• UCI Network Data Repository
  • 链接: https://networkdata.ics.uci.edu/resources.php
• UFL sparse matrix collection
  • 链接: http://www.cise.ufl.edu/research/sparse/matrices/
• WSU Graph Database
  • 链接: http://www.eecs.wsu.edu/mgd/gdb.html
• DIMACS Road Networks Collection
  • 链接: http://www.dis.uniroma1.it/challenge9/download.shtml

计算机网络

• 3.5B Web Pages from CommonCraw 2012
  • 链接: http://www.bigdatanews.com/profiles/blogs/big-data-set-3-5-billion-web-pages-made-available-for-all-of-us
• 53.5B Web clicks of 100K users in Indiana Univ.
  • 链接: http://cnets.indiana.edu/groups/nan/webtraffic/click-dataset/
• CAIDA Internet Datasets
  • 链接: http://www.caida.org/data/overview/
• ClueWeb09 - 1B web pages
  • 链接: http://lemurproject.org/clueweb09/
• ClueWeb12 - 733M web pages
  • 链接: http://lemurproject.org/clueweb12/
• CommonCrawl Web Data over 7 years
  • 链接: http://commoncrawl.org/the-data/get-started/
• CRAWDAD Wireless datasets from Dartmouth Univ.
  • 链接: https://crawdad.cs.dartmouth.edu/
• Criteo click-through data
  • 链接: http://labs.criteo.com/2015/03/criteo-releases-its-new-dataset/
• Open Mobile Data by MobiPerf
  • 链接: https://console.developers.google.com/storage/openmobiledata_public/
• Rapid7 Sonar Internet Scans
  • 链接: https://sonar.labs.rapid7.com/
• UCSD Network Telescope, IPv4 /8 net
  • 链接: http://www.caida.org/projects/network_telescope/

上下文数据

• Context-aware data sets from five domains
  • 链接: http://students.depaul.edu/~yzheng8/DataSets.html#Data 或 GitHub: https://github.com/irecsys/CARSKit/tree/master/context-aware_data_sets

数据挑战

• Challenges in Machine Learning
  • 链接: http://www.chalearn.org/
• CrowdANALYTIX dataX
  • 链接: http://data.crowdanalytix.com/
• D4D Challenge of Orange
  • 链接: http://www.d4d.orange.com/en/home
• DrivenData Competitions for Social Good
  • 链接: http://www.drivendata.org/
• ICWSM Data Challenge (since 2009)
  • 链接: http://icwsm.cs.umbc.edu/
• Kaggle Competition Data
  • 链接: https://www.kaggle.com/
• KDD Cup by Tencent 2012
  • 链接: http://www.kddcup2012.org/
• Localytics Data Visualization Challenge
  • 链接: https://github.com/localytics/data-viz-challenge
• Netflix Prize
  • 链接: http://netflixprize.com/leaderboard.html
• Space Apps Challenge
  • 链接: https://2015.spaceappschallenge.org/
• Telecom Italia Big Data Challenge
  • 链接: https://dandelion.eu/datamine/open-big-data/
• Yelp Dataset Challenge
  • 链接: http://www.yelp.com/dataset_challenge
• Bruteforce Database
  • 链接: https://github.com/duyetdev/bruteforce-database

地球科学

• AQUASTAT - Global water resources and uses
  • 链接: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en
• BODC - marine data of ~22K vars
  • 链接: http://www.bodc.ac.uk/data/where_to_find_data/
• Earth Models
  • 链接: http://www.earthmodels.org/
• EOSDIS - NASAs earth observing system data
  • 链接: http://sedac.ciesin.columbia.edu/data/sets/browse
• Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements
  • 链接: https://imos.aodn.org.au/ 或 S3: http://imos-data.s3-website-ap-southeast-2.amazonaws.com/
• Marinexplore - Open Oceanographic Data
  • 链接: http://marinexplore.org/
• Smithsonian Institution Global Volcano and Eruption Database
  • 链接: http://volcano.si.edu/
• USGS Earthquake Archives
  • 链接: http://earthquake.usgs.gov/earthquakes/search/

经济学

• American Economic Association (AEA)
  • 链接: https://www.aeaweb.org/resources/data
• EconData from UMD
  • 链接: http://inforumweb.umd.edu/econdata/econdata.html
• Economic Freedom of the World Data
  • 链接: http://www.freetheworld.com/datasets_efw.html
• Historical MacroEconomic Statistics
  • 链接: http://www.historicalstatistics.org/
• International Economics Database
  • 链接: http://widukind.cepremap.org/ 和 各种数据工具: https://github.com/Widukind
• International Trade Statistics
  • 链接: http://www.econostatistics.co.za/
• Internet Product Code Database
  • 链接: http://www.upcdatabase.com/
• Joint External Debt Data Hub
  • 链接: http://www.jedh.org/
• Jon Haveman International Trade Data Links
  • 链接: http://www.macalester.edu/research/economics/PAGE/HAVEMAN/

搜集汇总

数据集介绍

构建方式

该数据集是通过从博客、回答和用户响应中收集和整理公共数据源而构建的。它包含了大量免费的数据库，但也包含一些非免费的数据库。

特点

数据集的特点在于其广泛性，涵盖了从农业、生物学到气候、计算机网络等众多领域。此外，它包含了大量的免费资源，但同时也包含一些需要付费的资源，为用户提供了多样化的选择。

使用方法

用户可以通过访问提供的链接来浏览和下载相应的数据集。每个数据集的链接都直接指向了数据集的页面，用户可以根据自己的需要选择合适的数据集。对于一些特定的数据集，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，收录了大量免费的以及部分付费的数据集，旨在为研究人员和开发者提供方便的数据资源。创建时间不详，但可以从其维护和更新的活跃度推测，该数据集的影响力在逐渐扩大，尤其是在数据科学和机器学习领域。

当前挑战

数据集的构建过程中遇到的挑战主要包括：1) 数据的收集和整理依赖于社区贡献，质量和一致性难以保证；2) 部分数据集的版权和使用权不明确，给数据集的合法使用带来挑战；3) 数据集的维护和更新需要持续的努力和资源，这对于个人维护者来说可能是一个重大挑战。在所解决的领域问题方面，该数据集提供了丰富的资源，但如何有效整合和利用这些资源，以解决具体的问题，仍然是一个待克服的挑战。

常用场景

经典使用场景

awesome-public-datasets数据集经典使用场景在于为研究人员提供了一个全面、高质量的公共数据集清单，便于他们在各自领域内快速查找和访问所需的数据资源。该数据集被广泛应用于学术研究、数据分析、机器学习模型训练等领域，尤其适用于需要大量数据支撑的复杂任务。

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特定领域数据的研究者来说，它提供了一个便捷的途径来寻找和利用公开的数据集，从而推动了研究的进展。同时，它也帮助研究人员避免了数据收集和整理的繁琐工作，提高了研究效率。

衍生相关工作

基于awesome-public-datasets，衍生出了许多相关的经典工作。例如，一些研究人员基于这些数据集开发了新的数据分析工具，一些学术机构利用这些数据集进行了一系列的学术研究，进一步推动了相关领域的发展。