TuEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information

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dc.contributor.author Kasneci, Enkelejda
dc.contributor.author Kasneci, Gjergji
dc.contributor.author Appel, Tobias
dc.contributor.author Haug, Johannes
dc.contributor.author Wortha, Franz
dc.contributor.author Tibus, Maike
dc.contributor.author Trautwein, Ulrich
dc.contributor.author Gerjets, Peter
dc.date.accessioned 2021-10-15T14:44:52Z
dc.date.available 2021-10-15T14:44:52Z
dc.date.issued 2021
dc.identifier.issn 2052-4463
dc.identifier.uri http://hdl.handle.net/10900/119773
dc.language.iso en en
dc.publisher Nature Research de_DE
dc.relation.uri http://dx.doi.org/10.1038/s41597-021-00938-3
dc.subject.ddc 500 de_DE
dc.title TuEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information de_DE
dc.type Article de_DE
utue.quellen.id 20210824232002_00682
utue.personen.roh Kasneci, Enkelejda
utue.personen.roh Kasneci, Gjergji
utue.personen.roh Appel, Tobias
utue.personen.roh Haug, Johannes
utue.personen.roh Wortha, Franz
utue.personen.roh Tibus, Maike
utue.personen.roh Trautwein, Ulrich
utue.personen.roh Gerjets, Peter
dcterms.isPartOf.ZSTitelID Scientific Data de_DE
dcterms.isPartOf.ZS-Issue Article 154 de_DE
dcterms.isPartOf.ZS-Volume 8 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet 06 Wirtschafts- und sozialwissenschaftliche Fakultät
utue.fakultaet Sonstige


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