Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles

Detalhes bibliográficos
Autor(a) principal: Hu, C. P.
Data de Publicação: 2019
Outros Autores: Yin, J. X., Lindenberg, S., Dalğar, I., Weissgerber, S. C., Vergara, R. C., Cairo, A. H., Čolić, M. V., Dursun, P., Frankowska, N., Hadi, R., Hall, C. J., Hong, Y. K., Joy-Gaba, J., Lazarević, D., Lazarević, L. B., Parzuchowski, M., Ratner, K. J., Rothman, D., Sim, S., Simão, C., Song, M. D., Stojilović, D., Blomster, J. K., Brito, R., Hennecke, M., Jaume-Guazzini, F., Schubert, T. W., Schütz, A., Seibt, B., Zickfeld, J. H., Jzerman, H. I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/19911
Resumo: 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.
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spelling Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principlesIn 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.Nature Research2020-02-14T17:06:38Z2019-01-01T00:00:00Z20192020-02-14T17:05:28Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/19911eng2052-446310.1038/s41597-019-0029-2Hu, C. P.Yin, J. X.Lindenberg, S.Dalğar, I.Weissgerber, S. C.Vergara, R. C.Cairo, A. H.Čolić, M. V.Dursun, P.Frankowska, N.Hadi, R.Hall, C. J.Hong, Y. K.Joy-Gaba, J.Lazarević, D.Lazarević, L. B.Parzuchowski, M.Ratner, K. J.Rothman, D.Sim, S.Simão, C.Song, M. D.Stojilović, D.Blomster, J. K.Brito, R.Hennecke, M.Jaume-Guazzini, F.Schubert, T. W.Schütz, A.Seibt, B.Zickfeld, J. H.Jzerman, H. I.info: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:RCAAP2023-11-09T17:50:21Zoai:repositorio.iscte-iul.pt:10071/19911Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:24:48.354522Repositório 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, C. P.
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, C. P.
author_facet Hu, C. P.
Yin, J. X.
Lindenberg, S.
Dalğar, I.
Weissgerber, S. C.
Vergara, R. C.
Cairo, A. H.
Čolić, M. V.
Dursun, P.
Frankowska, N.
Hadi, R.
Hall, C. J.
Hong, Y. K.
Joy-Gaba, J.
Lazarević, D.
Lazarević, L. B.
Parzuchowski, M.
Ratner, K. J.
Rothman, D.
Sim, S.
Simão, C.
Song, M. D.
Stojilović, D.
Blomster, J. K.
Brito, R.
Hennecke, M.
Jaume-Guazzini, F.
Schubert, T. W.
Schütz, A.
Seibt, B.
Zickfeld, J. H.
Jzerman, H. I.
author_role author
author2 Yin, J. X.
Lindenberg, S.
Dalğar, I.
Weissgerber, S. C.
Vergara, R. C.
Cairo, A. H.
Čolić, M. V.
Dursun, P.
Frankowska, N.
Hadi, R.
Hall, C. J.
Hong, Y. K.
Joy-Gaba, J.
Lazarević, D.
Lazarević, L. B.
Parzuchowski, M.
Ratner, K. J.
Rothman, D.
Sim, S.
Simão, C.
Song, M. D.
Stojilović, D.
Blomster, J. K.
Brito, R.
Hennecke, M.
Jaume-Guazzini, F.
Schubert, T. W.
Schütz, A.
Seibt, B.
Zickfeld, J. H.
Jzerman, H. I.
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.author.fl_str_mv Hu, C. P.
Yin, J. X.
Lindenberg, S.
Dalğar, I.
Weissgerber, S. C.
Vergara, R. C.
Cairo, A. H.
Čolić, M. V.
Dursun, P.
Frankowska, N.
Hadi, R.
Hall, C. J.
Hong, Y. K.
Joy-Gaba, J.
Lazarević, D.
Lazarević, L. B.
Parzuchowski, M.
Ratner, K. J.
Rothman, D.
Sim, S.
Simão, C.
Song, M. D.
Stojilović, D.
Blomster, J. K.
Brito, R.
Hennecke, M.
Jaume-Guazzini, F.
Schubert, T. W.
Schütz, A.
Seibt, B.
Zickfeld, J. H.
Jzerman, H. I.
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2019
2020-02-14T17:06:38Z
2020-02-14T17:05:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/19911
url http://hdl.handle.net/10071/19911
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2052-4463
10.1038/s41597-019-0029-2
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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