Awesome Public Datasets

这是一个收集和整理自互联网上的大规模公共数据集的列表，涵盖多个领域如气候、经济、能源、金融、生物、农业、物理和健康医疗等。

This is a comprehensive list of large-scale public datasets collected and curated from the internet, spanning multiple domains such as climate, economics, energy, finance, biology, agriculture, physics, and healthcare.

原始信息汇总

数据集概述

气候/天气

• Australian Weather: http://www.bom.gov.au/climate/dwo/
• Canadian Meteorological Centre: https://weather.gc.ca/grib/index_e.html
• Climate Data: http://www.cru.uea.ac.uk/cru/data/temperature/#datter and ftp://ftp.cmdl.noaa.gov/
• Global Climate Data Since 1929: http://www.tutiempo.net/en/Climate
• NOAA Bering Sea Climate: http://www.beringclimate.noaa.gov/
• NOAA Climate Datasets: http://ncdc.noaa.gov/data-access/quick-links
• NOAA Realtime Weather Models: http://www.ncdc.noaa.gov/data-access/model-data/model-datasets/numerical-weather-prediction
• WU Historical Weather Worldwide: http://www.wunderground.com/history/index.html

经济学

• American Economic Ass. (AEA): http://www.aeaweb.org/RFE/toc.php?show=complete
• EconData (UMD): http://inforumweb.umd.edu/econdata/econdata.html
• Internet Product Code Database: http://www.upcdatabase.com/
• World bank: http://data.worldbank.org/indicator

能源

• AMPds: http://ampds.org/
• BLUEd: http://nilm.cmubi.org/
• COMBED: http://combed.github.io/
• Dataport: https://dataport.pecanstreet.org/
• ECO: http://www.vs.inf.ethz.ch/res/show.html?what=eco-data
• EIA: http://www.eia.gov/electricity/data/eia923/
• iAWE: http://iawe.github.io/
• HFED: http://hfed.github.io/
• Plaid: http://plaidplug.com/
• REDD: http://redd.csail.mit.edu/
• UK-Dale: http://www.doc.ic.ac.uk/~dk3810/data/

金融

• CBOE Futures Exchange: http://cfe.cboe.com/Data/
• Google Finance: https://www.google.com/finance
• Google Trends: http://www.google.com/trends?q=google&ctab=0&geo=all&date=all&sort=0
• NASDAQ: https://data.nasdaq.com/
• OANDA: http://www.oanda.com/
• OSU Financial data: http://fisher.osu.edu/fin/osudata.htm or http://fisher.osu.edu/fin/fdf/osudata.htm
• Quandl: http://www.quandl.com/
• St Louis Federal: http://research.stlouisfed.org/fred2/
• Yahoo Finance: http://finance.yahoo.com/

生物学

• CRCNS: http://crcns.org/data-sets
• Gene Expression Omnibus: http://www.ncbi.nlm.nih.gov/geo/
• Human Microbiome Project: http://www.hmpdacc.org/reference_genomes/reference_genomes.php
• MIT Cancer Genomics Data: http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi
• NIH Microarray data: ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE6532/
• Protein structure: http://www.infobiotic.net/PSPbenchmarks/
• Protein Data Bank: http://pdb.org/
• PubChem Project: https://pubchem.ncbi.nlm.nih.gov/
• Public Gene Data: http://www.pubgene.org/
• Stanford Microarray Data: http://smd.stanford.edu/
• UniGene: http://www.ncbi.nlm.nih.gov/unigene
• The Personal Genome Project: http://www.personalgenomes.org/ or https://my.pgp-hms.org/public_genetic_data
• 1000 Genomes: http://www.1000genomes.org/data
• UCSC Public Data: http://hgdownload.soe.ucsc.edu/downloads.html

农业

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

物理学

• NASA: http://nssdc.gsfc.nasa.gov/nssdc/obtaining_data.html
• CERN Open Data Portal: http://opendata.cern.ch/

医疗保健

• EHDP Large Health Data Sets: http://www.ehdp.com/vitalnet/datasets.htm
• Gapminder: http://www.gapminder.org/data/
• Medicare Data File: http://go.cms.gov/19xxPN4

GeoSpace/GIS

• EOSDIS: http://sedac.ciesin.columbia.edu/data/sets/browse
• Factual Global Location Data: http://www.factual.com/
• Geo Spatial Data: http://geodacenter.asu.edu/datalist/
• OpenStreetMap (a free map worldwide): http://wiki.openstreetmap.org/wiki/Downloading_data
• GeoNames (over eight million placenames): http://www.geonames.org/
• BODC (marine data of nearly 22,000 oceanographic vars): http://www.bodc.ac.uk/data/where_to_find_data/
• GADM (Global Administrative Areas database): http://www.gadm.org/
• twofishes (Foursquares coarse geocoder): https://github.com/foursquare/twofishes
• Natural Earth (vectors and rasters of the world): http://www.naturalearthdata.com/
• tz_world (timezone polygons): http://efele.net/maps/tz/world/
• TIGER/Line (official United States boundaries and roads): http://www.census.gov/geo/maps-data/data/tiger-line.html

交通运输

• Airlines Data (2009 ASA Challenge): http://stat-computing.org/dataexpo/2009/the-data.html
• Bike Share Data Systems: https://github.com/BetaNYC/Bike-Share-Data-Best-Practices/wiki/Bike-Share-Data-Systems
• Edge data for US domestic flights 1990 to 2009: http://data.memect.com/?p=229
• Half a million Hubway rides: http://hubwaydatachallenge.org/trip-history-data/
• NYC Taxi Trip Data 2013 (FOIA/FOIL): https://archive.org/details/nycTaxiTripData2013
• OpenFlights (airport, airline and route data): http://openflights.org/data.html
• RITA Airline On-Time Performance Data: http://www.transtats.bts.gov/Tables.asp?DB_ID=120
• RITA transport data collection: http://www.transtats.bts.gov/DataIndex.asp
• Transport for London: http://www.tfl.gov.uk/info-for/open-data-users/our-feeds
• U.S. Freight Analysis Framework: http://ops.fhwa.dot.gov/freight/freight_analysis/faf/index.htm
• Marine Traffic - ship tracks, port calls and more: https://www.marinetraffic.com/de/p/api-services

政府

• Archive-it: https://www.archive-it.org/explore?show=Collections
• Australia: https://data.gov.au/
• Australia: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3301.02009?OpenDocument
• Canada: http://www.data.gc.ca/default.asp?lang=En&n=5BCD274E-1
• Chicago: https://data.cityofchicago.org/
• FDA: https://open.fda.gov/index.html
• Fed Stats: http://www.fedstats.gov/cgi-bin/A2Z.cgi
• Guardian world governments: http://www.guardian.co.uk/world-government-data
• HUD: http://www.huduser.org/portal/datasets/pdrdatas.html
• London Datastore, U.K: http://data.london.gov.uk/dataset
• Glasgow, Scotland, UK: http://data.glasgow.gov.uk/
• Netherlands: https://data.overheid.nl/
• New Zealand: http://www.stats.govt.nz/browse_for_stats.aspx
• NYC betanyc: http://betanyc.us/
• NYC Open Data: http://nycplatform.socrata.com/
• OECD: http://www.oecd.org/document/0,3746,en_2649_201185_46462759_1_1_1_1,00.html
• RITA: http://www.transtats.bts.gov/OT_Delay/OT_DelayCause1.asp
• San Francisco Data sets: http://datasf.org/
• South Africa: http://beta2.statssa.gov.za/
• The World Bank: http://wdronline.worldbank.org/
• U.K. Government Data: http://data.gov.uk/data
• U.S. Census Bureau: http://www.census.gov/data.html
• U.S. American Community Survey: http://www.census.gov/acs/www/data_documentation/data_release_info/
• U.S. Federal Government Agencies: http://www.data.gov/metric
• U.S. Federal Government Data Catalog: http://catalog.data.gov/dataset
• U.S. Open Government: http://www.data.gov/open-gov/
• UK 2011 Census Open Atlas Project: http://www.alex-singleton.com/2011-census-open-atlas-project/
• United Nations: http://data.un.org/
• US CDC Public Health datasets: http://www.cdc.gov/nchs/data_access/ftp_data.htm
• Open Government Data (OGD) Platform India: http://www.data.gov.in/

体育

• Cricsheet (cricket): http://cricsheet.org/
• Betfair (betting exchange) Event Results: http://data.betfair.com/
• Lahmans Baseball Database: http://www.seanlahman.com/baseball-archive/statistics/
• Retrosheet (baseball): http://www.retrosheet.org/game.htm
• Ergast Formula 1 (API available): http://ergast.com/mrd/db

数据挑战

• Challenges in Machine Learning: http://www.chalearn.org/
• DrivenData Competitions for Social Good: http://www.drivendata.org/
• ICWSM Data Challenge (since 2009): http://icwsm.cs.umbc.edu/
• Kaggle Competition Data: http://www.kaggle.com/
• KDD Cup by Tencent 2012: https://www.kddcup2012.org/
• Netflix Prize: http://www.netflixprize.com/leaderboard
• Yelp Dataset Challenge: http://www.yelp.com/dataset_challenge
• Localytics Data Visualization Challenge: https://github.com/localytics/data-viz-challenge

机器学习

• eBay Online Auctions: http://www.modelingonlineauctions.com/datasets
• IMDb database: http://www.imdb.com/interfaces
• Keel Repository: http://sci2s.ugr.es/keel/datasets.php
• Lending Club Loan Data: https://www.lendingclub.com/info/download-data.action
• Machine Learning Data Set Repository: http://mldata.org/
• Million Song Dataset: http://blog.echonest.com/post/3639160982/million-song-dataset
• More Song Datasets: http://labrosa.ee.columbia.edu/millionsong/pages/additional-datasets
• MovieLens Data Sets: http://datahub.io/dataset/movielens
• RDataMining R and Data Mining ebook data: http://www.rdatamining.com/data
• Registered meteorites on Earth: http://www.analyticbridge.com/profiles/blogs/registered-meteorites-that-has-impacted-on-earth-visualized
• SF restaurants dataset: http://missionlocal.org/san-francisco-restaurant-health-inspections/
• UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/
• University of Toronto Delve Datasets: http://www.cs.toronto.edu/~delve/data/datasets.html
• Yahoo Ratings and Classification Data: http://webscope.sandbox.yahoo.com/catalog.php?datatype=r

自然语言

• 40 Million Entities in Context: https://code.google.com/p/wiki-links/downloads/list
• ClueWeb09 FACC: http://lemurproject.org/clueweb09/FACC1/
• ClueWeb12 FACC: http://lemurproject.org/clueweb12/FACC1/
• DBpedia: http://wiki.dbpedia.org/Datasets
• Flickr personal taxonomies: http://www.isi.edu/~lerman/downloads/flickr/flickr_taxonomies.html
• Google Books Ngrams: http://aws.amazon.com/datasets/8172056142375670
• Google Web 5gram, 2006 (1T): https://catalog.ldc.upenn.edu/LDC2006T13
• Gutenberg eBooks List: http://www.gutenberg.org/wiki/Gutenberg:Offline_Catalogs
• Hansards: http://www.isi.edu/natural-language/download/hansard/
• Machine Translation: http://statmt.org/wmt11/translation-task.html#download
• SMS Spam Collection: http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/
• USENET corpus: http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html
• Wikidata: https://www.wikidata.org/wiki/Wikidata:Database_download
• WordNet: http://wordnet.princeton.edu/wordnet/download/

图像处理

• 2GB of photos of cats: http://137.189.35.203/WebUI/CatDatabase/catData.html
• Face Recognition Benchmark: http://www.face-rec.org/databases/
• ImageNet: http://www.image-net.org/

时间序列

• Time Series data Library: https://datamarket.com/data/list/?q=provider:tsdl
• UC Riverside Time Series: http://www.cs.ucr.edu/~eamonn/time_series_data/

社会科学

• CMU Enron Email: http://www.cs.cmu.edu/~enron/
• Facebook Social Networks (since 2007): http://law.di.unimi.it/datasets.php
• Facebook100 (2005): https://archive.org/details/oxford-2005-facebook-matrix
• Foursquare (2010,2011): http://www.public.asu.edu/~hgao16/dataset.html
• Foursquare (UMN/Sarwat, 2013): https://archive.org/details/201309_foursquare_dataset_umn
• General Social Survey (GSS): http://www3.norc.org/GSS+Website/

搜集汇总

数据集介绍

构建方式

本数据集通过搜集和整理来自博客、回答以及用户响应中的公共数据源列表而构建。其构建方式主要依赖于对现有资源的梳理与整合，旨在为研究者提供一个便捷的公共数据集索引。

特点

该数据集的特点在于其广泛性、多样性和便捷性。它涵盖了众多领域的公共数据集，包括但不限于气象、经济、能源、金融、生物学、农业、物理学、医疗保健等多个领域，为不同研究需求提供了丰富的数据资源。同时，该数据集持续更新，保证了数据的时效性和可用性。

使用方法

用户可以通过访问数据集提供的链接直接获取所需数据。数据集的每个条目都包含了数据源的链接，用户可以根据自己的研究需求选择相应的数据集进行下载或分析。此外，数据集还提供了API接口，便于程序化地检索和获取数据。

背景与挑战

背景概述

Awesome Public Datasets是一个收集自博客、回答和用户响应的公开数据集列表。该数据集涵盖了广泛的主题，包括气候、经济、能源、金融、生物学、农业、物理学、健康护理、地理信息系统、交通、政府、体育等多个领域。这些数据集大多数是免费的，但也有一些不是。该数据集的创建旨在为研究者和开发者提供方便，帮助他们在各自的研究和项目中使用这些宝贵的数据资源。

当前挑战

尽管Awesome Public Datasets提供了大量的数据集，但在使用过程中也存在一些挑战。首先，数据集的质量参差不齐，研究者需要花费时间筛选和清洗数据。其次，数据集的更新和维护并不总是及时，可能导致数据过时。此外，由于数据集来源多样，数据格式和结构不一致，给数据的整合和处理带来了困难。最后，部分数据集的版权和使用许可可能并不明确，使用时需谨慎。

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清单，其经典使用场景主要在于为研究者提供一站式访问各类数据集的便利，使得他们能够轻松地找到并进行数据挖掘、分析和可视化研究。该平台广泛用于学术研究、商业智能分析、政府决策支持等领域，极大地推动了大数据时代下信息的开放与共享。

衍生相关工作

基于Awesome Public Datasets，衍生出了许多相关的工作，包括数据集的进一步整合和清洗、基于这些数据集开发的分析模型和算法，以及利用这些数据进行实证研究的学术论文。这些工作不仅扩展了数据集的应用范围，也为相关领域的研究提供了新的视角和方法。

数据集最近研究

最新研究方向

Awesome Public Datasets 数据集汇集了来自不同领域的公共数据集，其最新研究方向主要集中于数据的整合、清洗和高效利用。学者们正致力于研究如何从这些海量的数据集中提取有价值的信息，并探讨它们在各领域中的应用，如气候预测、经济趋势分析、生物信息学研究和社交网络分析等。此外，数据集的质量控制和隐私保护问题也受到关注。