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

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