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Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles
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-...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470130/ https://www.ncbi.nlm.nih.gov/pubmed/30996323 http://dx.doi.org/10.1038/s41597-019-0029-2 |
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author | 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_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_sort | Hu, Chuan-Peng |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6470130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64701302019-04-18 Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-04-17 /pmc/articles/PMC6470130/ /pubmed/30996323 http://dx.doi.org/10.1038/s41597-019-0029-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor 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 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 |
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_short | 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 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470130/ https://www.ncbi.nlm.nih.gov/pubmed/30996323 http://dx.doi.org/10.1038/s41597-019-0029-2 |
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