Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1038/s41597-019-0029-2 |
Resumo: | Fundig agencies: Veni grant of the Netherlands Organization for Scientific Research (NWO) (grant nr. 016.145.049) and French National Research Agency "Investissements d'avenir" program (grant nr ANR-15-IDEX-02) |
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Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principlesStatistics and ProbabilityInformation SystemsEducationComputer Science ApplicationsStatistics, Probability and UncertaintyLibrary and Information SciencesFundig agencies: Veni grant of the Netherlands Organization for Scientific Research (NWO) (grant nr. 016.145.049) and French National Research Agency "Investissements d'avenir" program (grant nr ANR-15-IDEX-02)In the Human Penguin Project (N = 1755), 15 research groups from 12 countries collected body temperature, demographic variables, social network indices, seven widely-used psychological scales and two newly developed questionnaires (the Social Thermoregulation and Risk Avoidance Questionnaire (STRAQ-1) and the Kama Muta Frequency Scale (KAMF)). They were collected to investigate the relationship between environmental factors (e.g., geographical, climate etc.) and human behaviors, which is a long-standing inquiry in the scientific community. More specifically, the present project was designed to test principles surrounding the idea of social thermoregulation, which posits that social networks help people to regulate their core body temperature. The results showed that all scales in the current project have sufficient to good psychometrical properties. Unlike previous crowdsourced projects, this dataset includes not only the cleaned raw data but also all the validation of questionnaires in 9 different languages, thus providing a valuable resource for psychological scientists who are interested in cross-national, environment-human interaction studies.NOVA School of Business and Economics (NOVA SBE)RUNHu, Chuan PengYin, Ji XingLindenberg, SiegwartDalğar, İlkerWeissgerber, Sophia C.Vergara, Rodrigo C.Cairo, Athena H.Čolić, Marija V.Dursun, PinarFrankowska, NataliaHadi, RhondaHall, Calvin J.Hong, YoungkiJoy-Gaba, JenniferLazarević, DušankaLazarević, Ljiljana B.Parzuchowski, MichalRatner, Kyle G.Rothman, DavidSim, SamanthaSimão, CláudiaSong, MengdiStojilović, DarkoBlomster, Johanna K.Brito, RodrigoHennecke, MarieJaume-Guazzini, FranciscoSchubert, Thomas W.Schütz, AstridSeibt, BeateZickfeld, Janis H.IJzerman, Hans2019-07-08T22:36:05Z2019-04-172019-04-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1application/pdfhttps://doi.org/10.1038/s41597-019-0029-2eng2052-4463PURE: 13185376http://www.scopus.com/inward/record.url?scp=85065069421&partnerID=8YFLogxKhttps://doi.org/10.1038/s41597-019-0029-2info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:34:20Zoai:run.unl.pt:10362/74870Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:26.917159Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
title |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
spellingShingle |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles Hu, Chuan Peng Statistics and Probability Information Systems Education Computer Science Applications Statistics, Probability and Uncertainty Library and Information Sciences |
title_short |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
title_full |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
title_fullStr |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
title_full_unstemmed |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
title_sort |
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles |
author |
Hu, Chuan Peng |
author_facet |
Hu, Chuan Peng Yin, Ji Xing Lindenberg, Siegwart Dalğar, İlker Weissgerber, Sophia C. Vergara, Rodrigo C. Cairo, Athena H. Čolić, Marija V. Dursun, Pinar Frankowska, Natalia Hadi, Rhonda Hall, Calvin J. Hong, Youngki Joy-Gaba, Jennifer Lazarević, Dušanka Lazarević, Ljiljana B. Parzuchowski, Michal Ratner, Kyle G. Rothman, David Sim, Samantha Simão, Cláudia Song, Mengdi Stojilović, Darko Blomster, Johanna K. Brito, Rodrigo Hennecke, Marie Jaume-Guazzini, Francisco Schubert, Thomas W. Schütz, Astrid Seibt, Beate Zickfeld, Janis H. IJzerman, Hans |
author_role |
author |
author2 |
Yin, Ji Xing Lindenberg, Siegwart Dalğar, İlker Weissgerber, Sophia C. Vergara, Rodrigo C. Cairo, Athena H. Čolić, Marija V. Dursun, Pinar Frankowska, Natalia Hadi, Rhonda Hall, Calvin J. Hong, Youngki Joy-Gaba, Jennifer Lazarević, Dušanka Lazarević, Ljiljana B. Parzuchowski, Michal Ratner, Kyle G. Rothman, David Sim, Samantha Simão, Cláudia Song, Mengdi Stojilović, Darko Blomster, Johanna K. Brito, Rodrigo Hennecke, Marie Jaume-Guazzini, Francisco Schubert, Thomas W. Schütz, Astrid Seibt, Beate Zickfeld, Janis H. IJzerman, Hans |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA School of Business and Economics (NOVA SBE) RUN |
dc.contributor.author.fl_str_mv |
Hu, Chuan Peng Yin, Ji Xing Lindenberg, Siegwart Dalğar, İlker Weissgerber, Sophia C. Vergara, Rodrigo C. Cairo, Athena H. Čolić, Marija V. Dursun, Pinar Frankowska, Natalia Hadi, Rhonda Hall, Calvin J. Hong, Youngki Joy-Gaba, Jennifer Lazarević, Dušanka Lazarević, Ljiljana B. Parzuchowski, Michal Ratner, Kyle G. Rothman, David Sim, Samantha Simão, Cláudia Song, Mengdi Stojilović, Darko Blomster, Johanna K. Brito, Rodrigo Hennecke, Marie Jaume-Guazzini, Francisco Schubert, Thomas W. Schütz, Astrid Seibt, Beate Zickfeld, Janis H. IJzerman, Hans |
dc.subject.por.fl_str_mv |
Statistics and Probability Information Systems Education Computer Science Applications Statistics, Probability and Uncertainty Library and Information Sciences |
topic |
Statistics and Probability Information Systems Education Computer Science Applications Statistics, Probability and Uncertainty Library and Information Sciences |
description |
Fundig agencies: Veni grant of the Netherlands Organization for Scientific Research (NWO) (grant nr. 016.145.049) and French National Research Agency "Investissements d'avenir" program (grant nr ANR-15-IDEX-02) |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-07-08T22:36:05Z 2019-04-17 2019-04-17T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1038/s41597-019-0029-2 |
url |
https://doi.org/10.1038/s41597-019-0029-2 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2052-4463 PURE: 13185376 http://www.scopus.com/inward/record.url?scp=85065069421&partnerID=8YFLogxK https://doi.org/10.1038/s41597-019-0029-2 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1 application/pdf |
dc.source.none.fl_str_mv |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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