Colonial Dates Dataset (COLDAT)doi:10.7910/DVN/T9SDEWHarvard Dataverse2019-07-223Becker, Bastian, 2019, "Colonial Dates Dataset (COLDAT)", https://doi.org/10.7910/DVN/T9SDEW, Harvard Dataverse, V3, UNF:6:C6K8phVSG+Sfne/jKD+XhA== [fileUNF]Colonial Dates Dataset (COLDAT)doi:10.7910/DVN/T9SDEWBecker, BastianHarvard DataverseBecker, BastianBecker, Bastian2019-04-08Social Sciencescolonialism, empire, development, world politicsThe Colonial Dates Dataset (COLDAT) aggregates information on the reach and duration of European colonial empires from renowned secondary sources. By aggregating secondary sources, rather than collecting from primary sources, the new dataset reflects the accumulated knowledge in the discipline and relieves researchers from making hard to justify choices between different historical datasets.See read_me for updates.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Becker, Bastian (2019), Introducing COLDAT: The Colonial Dates Dataset, SOCIUM/SFB1342 Working Paper Series, 02/2019.Becker, Bastian (2019), Introducing COLDAT: The Colonial Dates Dataset, SOCIUM/SFB1342 Working Paper Series, 02/2019.COLDAT_colonies.tab19541text/tab-separated-valuesUNF:6:GrMF7n76rzQBRBfaJvAaLA==COLDAT (by colony)COLDAT_dyads.tab15607text/tab-separated-valuesUNF:6:aHravdWHNoJYPrG7ff+vlg==COLDAT (by colony-colonizer dyad)countryUNF:6:BPNsbQwPo/5kytfTTxZWzQ==col.belgium0.12339372391778991.00.0153846153846154060.00.0195.0.0.0UNF:6:XvE7J/hKoYMRX7QDF16ljw==col.britain0.4777911995278756.0.00.00.00.3487179487179487195.01.0UNF:6:bJ75+rb+vDfDcHuEZMhkMQ==col.france1.00.00.0195.00.169230769230769240.375920756999689240.0.UNF:6:Wt1VX6B3Q1h6SYyi1V2nMA==col.germany0.0615384615384615841.00.0195.0.0.00.00.2409339480594584UNF:6:RMSlzr06Ha83mAlGBB7BvA==col.italy0.0153846153846153920.0195.00.00.1233937239177899.1.00.0UNF:6:Xwy42rBrWlpi+xwGig5CTg==col.netherlands195.01.00.14211126608467478.0.00.0205128205128205160.00.0UNF:6:UkaC9vtvtiNv7o0HC1nyow==col.portugal195.00.00.00.061538461538461540.24093394805945830.0.1.0UNF:6:lnsrYNNLK/AUP1fs3jNCBw==col.spain0.13333333333333336.1.00.00.00.0195.00.34080962831049894UNF:6:CRbMrOYj44YluNezRDIkVQ==colstart.belgium_max21.656407827707714.1885.03.01910.0192.01923.01922.0UNF:6:akHVnNpqzBvFqjWinww9yg==colstart.britain_max1607.081.8049069475809.1852.4558823529412127.01887.51959.068.0UNF:6:ZBW1sFvmuaAQXYcy+ESpGg==colstart.france_max1847.78787878787881608.033.0162.098.819835298814621887.01923.0.UNF:6:ZIEa6yujyL10kh5SG3KzFw==colstart.germany_max1889.16666666666671884.012.0183.0.6.4361667492570791885.01900.0UNF:6:sL8R7B8hHBqM5FNTj3VuZA==colstart.italy_max1902.33333333333331912.0192.0.11.2398102000582441905.03.01890.0UNF:6:iJeD4Tip3Rdd6ttjsn7kOQ==colstart.netherlands_max1630.51667.01637.5191.04.01580.038.301436004411116.UNF:6:xfDgjUVo7zLDa0/K48IVaA==colstart.portugal_max147.6994029654948712.01597.51462.01630.75.1885.0183.0UNF:6:2cZ/cOtRj0Oms6Xm/U7xuw==colstart.spain_max113.98186765379023.26.01581.88461538461551886.01495.01534.0169.0UNF:6:Uk6uk1Qot9Yo2otun62YOA==colend.belgium_max192.01962.0.3.01962.01.15470053837925151960.01961.3333333333333UNF:6:dEettIum2VlHtb8SuuVEdQ==colend.britain_max127.068.01984.01963.0.34.5891729699158361783.01953.3529411764705UNF:6:LvtdiJPaibpNh1AtrNgedQ==colend.france_max1923.24242424242421960.072.760321562919131762.01980.0162.0.33.0UNF:6:YvNhq6gRJ9JjrU0T5cRNbA==colend.germany_max2.31431644466797212.01922.01915.9166666666667183.0.1914.01915.5UNF:6:adY05YjYGxGk7JJ1HcI1XQ==colend.italy_max3.01939.66666666666671941.01936.0192.01942.03.2145502536643185.UNF:6:zeQha2jYTUdKcIYuNosknw==colend.netherlands_max91.13863066779092191.01889.251974.04.01888.51806.0.UNF:6:yBWV0mJZA8AehKtTFXbuNA==colend.portugal_max1641.012.01975.0.183.0127.65682571455061898.51865.9166666666667UNF:6:1OKxL15Qaqjmm+RYTkHG0A==colend.spain_max1975.026.060.4599422376883741655.01840.7307692307693.1821.0169.0UNF:6:pSTmIvX+YPwHDn7XAJBo4g==colstart.belgium_mean1922.01885.01919.020.550750189064471908.6666666666667.192.03.0UNF:6:k2Qmhv5veArqvPO1vWkJjw==colstart.britain_mean.80.52154811149725127.068.01842.83823529411761607.01946.01876.5UNF:6:uvsL4zjJ4SWNBpK/twCKSw==colstart.france_mean162.096.145318910932161922.0.1877.033.01837.21212121212121608.0UNF:6:u8o8Nfs579OZcEg1MuzN7A==colstart.germany_mean.183.01887.751882.012.01885.05.4460160584679611900.0UNF:6:pCnvq1dUe55f82dY54vsvQ==colstart.italy_mean1905.03.01900.66666666666671885.01912.0192.014.011899704655802.UNF:6:6rkBgYeBTjriIu2O4hcUHw==colstart.netherlands_mean1652.04.0191.0.31.8995820244299321580.01623.751631.5UNF:6:K6A3G4gvlNAD8lL6P3j6yA==colstart.portugal_mean1462.01879.012.01614.41666666666671597.5.127.23311342380626183.0UNF:6:LTPLkelhaG62J/WCInQ4kw==colstart.spain_mean169.026.0.1533.01886.01493.01577.4615384615386114.68957433672192UNF:6:ozc0xR+vU6paX9mI2puYLg==colend.belgium_mean1962.01960.01961.3333333333333192.03.01962.0.1.1547005383792515UNF:6:dEettIum2VlHtb8SuuVEdQ==colend.britain_mean.1984.01950.7647058823531962.01781.035.91246307885071127.068.0UNF:6:735SiEcO/gFS46XWrPBVNQ==colend.france_mean1980.0162.01960.01762.033.0.1923.072.66532873386042UNF:6:Nv3eg8NbqGlGjZt/S32/oQ==colend.germany_mean183.01914.51914.01922.0.12.01915.52.393172105652397UNF:6:AYRj6wB6Qsc8udOzoYd4MQ==colend.italy_mean1936.0.3.01940.03.05505046330389351939.33333333333331942.0192.0UNF:6:DlJtIf8ZYt+oh3i7x4+16Q==colend.netherlands_mean85.379056760620941884.254.01883.51964.0.191.01806.0UNF:6:EVp4RD8INwJDh+bTrnSyng==colend.portugal_mean1865.666666666666712.01898.01975.0.1641.0127.42508197035431183.0UNF:6:hg+OZ7vC+F+bMSGbJ6kECA==colend.spain_mean.1839.03846153846141655.01821.060.3943578617941926.01975.0169.0UNF:6:wkm1sq1OnN8iYasb+93Biw==countryUNF:6:HaQQsfTyMCL+KRmhrWNcQQ==colonizerUNF:6:WUnXY2kA4DbpMCPbyn4iKQ==col1560.00.103205128205128820.304324164586652960.01.00.00.0.UNF:6:6Lf2sItfcvbM502cskPXoQ==colstart_max.1959.0161.01790.50310559006221462.01882.0146.59349082682711399.0UNF:6:2fAtkIUasG/hF6gHV0gxUQ==colend_max1641.01399.0.161.071.993748650285611954.01917.98757763975161984.0UNF:6:vQqkKVJOVHCwTd1GzoZVxg==colstart_mean1462.0.144.557989556857451399.01868.01946.0161.01782.0124223602484UNF:6:rsfu58QhcQnUF8FDc5/jLw==colend_mean1641.01399.01952.0.71.900032502865161.01984.01916.391304347826UNF:6:j6RflMsblCRPGuoKWvDf9A==Introducing COLDAT.pdfBecker, Bastian, 2019: Introducing COLDAT: The Colonial Dates Dataset, SOCIUM SFB 1342 WorkingPapers/2/2019, Bremen: SOCIUM SFB 1342application/pdfread_me.txtInformation about COLDAT updatestext/plain