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Awesome Public Datasets

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github2018-07-13 更新2024-05-31 收录
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https://github.com/heyexiaoxue/awesome-public-datasets
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资源简介:
一个主题中心的高质量公开数据集列表,收集并整理自博客、答案和用户反馈。

A curated list of high-quality public datasets centered around specific themes, compiled from blogs, answers, and user feedback.
创建时间:
2018-07-13
原始信息汇总

数据集概述

Agriculture

  • U.S. Department of Agricultures Nutrient Database
    • 链接: https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/nutrient-data-laboratory/docs/sr28-download-files/
  • U.S. Department of Agricultures PLANTS Database
    • 链接: http://www.plants.usda.gov/dl_all.html

Biology

  • 1000 Genomes
    • 链接: http://www.1000genomes.org/data
  • American Gut (Microbiome Project)
    • 链接: https://github.com/biocore/American-Gut
  • Broad Bioimage Benchmark Collection (BBBC)
    • 链接: https://www.broadinstitute.org/bbbc
  • Broad Cancer Cell Line Encyclopedia (CCLE)
    • 链接: http://www.broadinstitute.org/ccle/home
  • 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/
  • ENCODE project
    • 链接: https://www.encodeproject.org
  • Electron Microscopy Pilot Image Archive (EMPIAR)
    • 链接: http://www.ebi.ac.uk/pdbe/emdb/empiar/
  • 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
  • KEGG
    • 链接: http://www.genome.jp/kegg/
  • 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
  • NCI Genomic Data Commons
    • 链接: https://gdc-portal.nci.nih.gov
  • NIH Microarray data
    • 链接: http://bit.do/VVW6
  • 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/
  • UCSC Public Data
    • 链接: http://hgdownload.soe.ucsc.edu/downloads.html
  • UniGene
    • 链接: http://www.ncbi.nlm.nih.gov/unigene
  • Universal Protein Resource (UnitProt)
    • 链接: http://www.uniprot.org/downloads

Climate+Weather

  • Actuaries Climate Index
    • 链接: http://actuariesclimateindex.org/data/
  • Australian Weather
    • 链接: http://www.bom.gov.au/climate/dwo/
  • Aviation Weather Center - Consistent, timely and accurate weather [...]
    • 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/#datter and 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
  • NOAA SURFRAD Meteorology and Radiation Datasets
    • 链接: https://www.esrl.noaa.gov/gmd/grad/stardata.html
  • 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
  • WU Historical Weather Worldwide
    • 链接: https://www.wunderground.com/history/index.html
  • WorldClim - Global Climate Data
    • 链接: http://www.worldclim.org

ComplexNetworks

  • 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
  • DIMACS Road Networks Collection
    • 链接: http://www.dis.uniroma1.it/challenge9/download.shtml
  • NBER Patent Citations
    • 链接: http://nber.org/patents/
  • NIST complex networks data collection
    • 链接: http://math.nist.gov/~RPozo/complex_datasets.html
  • Network Repository with Interactive Exploratory Analysis Tools
    • 链接: http://networkrepository.com/
  • 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
    • 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

ComputerNetworks

  • 3.5B Web Pages from CommonCrawl 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/
  • CRAWDAD Wireless datasets from Dartmouth Univ.
    • 链接: https://crawdad.cs.dartmouth.edu/
  • 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/
  • Criteo click-through data
    • 链接: http://labs.criteo.com/2015/03/criteo-releases-its-new-dataset/
  • Internet-Wide Scan Data Repository
    • 链接: https://scans.io/
  • OONI: Open Observatory of Network Interference - Internet censorship data
    • 链接: https://ooni.torproject.org/data/
  • 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/

DataChallenges

  • Bruteforce Database
    • 链接: https://github.com/duyetdev/bruteforce-database
  • 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/
  • KDD Cup by Tencent 2012
    • 链接: http://www.kddcup2012.org/
  • Kaggle Competition Data
    • 链接: https://www.kaggle.com/
  • 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/
  • TravisTorrent Dataset - MSR2017 Mining Challenge
    • 链接: https://travistorrent.testroots.org/
  • TunedIT - Data mining & machine learning data sets, algorithms, challenges
    • 链接: http://tunedit.org/challenges/
  • Yelp Dataset Challenge
    • 链接: http://www.yelp.com/dataset_challenge

EarthScience

  • 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: https://www.bodc.ac.uk/data/
  • EOSDIS - NASAs earth observing system data
    • 链接: http://sedac.ciesin.columbia.edu/data/sets/browse
  • Earth Models
    • 链接: http://www.earthmodels.org/
  • Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements
    • 链接: https://imos.aodn.org.au/
  • 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/

Economics

  • 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/
  • **INFORUM - Interindustry Forecasting at the University
搜集汇总
数据集介绍
main_image_url
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高质量的主题中心公共数据源而构建的。它采用自动化的方式生成,并且提供了新的贡献方法,不再直接在仓库上接受PR。
使用方法
使用该数据集时,用户可以通过GitHub页面浏览和搜索数据源,根据提供的链接访问具体的数据集。对于每个数据集,用户应遵循相应的使用条款和条件。数据集的自动化生成和贡献方式使得数据的更新和维护更加高效。
背景与挑战
背景概述
Awesome Public Datasets是一个由社区维护的、涵盖多个领域的公共数据集列表,旨在为研究人员、数据科学家和开发者提供方便的数据资源。该数据集创建于2013年,由sindresorhus在GitHub上发起,后由awesomedata团队接管维护。它涵盖了从农业、生物学到地理信息系统、金融等众多领域的公共数据集,提供了一个全面的数据资源导航。其影响力在于,它不仅集合了海量的数据资源,而且提供了一个框架,使得数据贡献和分享变得更加便捷。
当前挑战
尽管Awesome Public Datasets为研究社区提供了丰富的数据资源,但在构建和维护过程中也面临着一些挑战。首先,数据的多样性和异构性使得数据集的整合和标准化成为一个难题。其次,保证数据的时效性和准确性需要持续的更新和验证。此外,数据集的版权和许可问题也是需要关注的重要方面,以确保数据的合法合规使用。
常用场景
经典使用场景
Awesome Public Datasets 是一个收集和整理高质量公共数据集的项目,其经典使用场景包括为研究人员、数据科学家和开发者提供各种领域的数据集,以便于他们进行数据分析和机器学习模型的训练。
解决学术问题
该数据集解决了学术研究中数据获取困难的问题,提供了生物学、地理信息系统、经济等多个领域的大量数据集,帮助学者们验证理论、开展实证研究以及探索新的研究方向。
实际应用
在实际应用中,Awesome Public Datasets 可以为商业智能、城市规划、环境监测等领域提供数据支持,助力决策制定和策略规划。
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,其最新研究方向主要聚焦于数据集的质量控制和自动化生成。研究包括如何确保数据集的准确性、完整性和可访问性,以及如何通过自动化工具提高数据集的生成和维护效率。此外,也有研究关注于特定领域的数据集,如生物信息学、气候与天气、复杂网络等,探索数据集在本领域中的应用潜力,以及如何通过这些数据集推动科学研究和技术创新。
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