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

Hu Chuan-Peng , Yin Ji-Xing , Siegwart Lindenberg , İlker Dalğar , Sophia C. Weissgerber , Rodrigo C. Vergara , Athena H. Cairo , Calvin J. Hall , Jennifer Joy-Gaba , David Rothman , Marija V. Čolić , Dušanka Lazarević , Dursun Pinar , Natalia Frankowska , Michał Parzuchowski , Rhonda Hadi , Hong Youngki , Kyle G. Ratner , Ljiljana B. Lazarević , Samantha Sim , Cláudia Simão , Mengdi Song , Darko Stojilović , Johanna K. Blomster , Thomas W. Schubert , Beate Seibt , Janis H. Zickfeld , Rodrigo Brito , Marie Hennecke , Francisco Jaume-Guazzini , Astrid Schütz , Hans Ijzerman

Abstract

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.
Author Hu Chuan-Peng
Hu Chuan-Peng,,
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, Yin Ji-Xing
Yin Ji-Xing,,
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, Siegwart Lindenberg
Siegwart Lindenberg,,
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, İlker Dalğar
İlker Dalğar,,
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, Sophia C. Weissgerber
Sophia C. Weissgerber ,,
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, Rodrigo C. Vergara
Rodrigo C. Vergara,,
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, Athena H. Cairo
Athena H. Cairo,,
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, Calvin J. Hall
Calvin J. Hall,,
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, Jennifer Joy-Gaba
Jennifer Joy-Gaba,,
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, David Rothman
David Rothman,,
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et al.`
Journal seriesScientific data, ISSN 2052-4463, (N/A 140 pkt)
Issue year2019
Vol6
No32
Pages1-7
Publication size in sheets0.5
Keywords in Englishdata, temperature, social thermoregulation, social network, crowdsourced cross-national study
ASJC Classification1804 Statistics, Probability and Uncertainty; 3304 Education; 3309 Library and Information Sciences; 1706 Computer Science Applications; 1710 Information Systems; 2613 Statistics and Probability
DOIDOI:10.1038/s41597-019-0029-2
URL https://www.nature.com/articles/s41597-019-0029-2
Languageen angielski
File
Data from M. Parzuchowski.pdf 982.19 KB
Additional file
Oświadczenie Parzuchowski Data from.pdf 770.2 KB
Score (nominal)140
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 2.629; WoS Impact Factor: 2017 = 5.305 (2) - 2017=5.862 (5)
Citation count*5 (2021-03-08)
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