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Raw data from the Human Penguin Project /
Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles
- Hu Chuan-Peng
- Ji-Xing Yin
- Siegwart Lindenberg
- Ilker Dalgar
- Sophia C. Weissgerber
- Rodrigo Clemente Vergara
- Athena Cairo
- Marija V. Čolić
- Pinar Dursun
- Natalia Frankowska
- Rhonda Hadi
- Calvin Hall
- Youngki Hong
- Jennifer Joy-Gaba
- Dusanka Lazarevic
- Lili Lazarevic
- Michal Parzuchowski
- Kyle G. Ratner
- David Rothman
- Samantha Sim
- Claudia Simão
- Mengdi Song
- Darko Stojilović
- Johanna Katarina Blomster Lyshol
- Rodrigo Brito
- Marie Hennecke
- Francisco Tomás Jaume Guazzini
- Thomas Schubert
- Astrid Schütz
- Beate Seibt
- Janis Zickfeld
- Hans IJzerman
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Category: Communication
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 from social thermoregulation theory, which posits that 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.