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

• Published in: Scientific data Vol. 6; no. 1; p. 32
• Main Authors: 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
• Format: Journal Article
• Language: English; Norwegian
• Published: London Nature Publishing Group UK 17.04.2019; Nature Publishing Group
• Subjects: 631/477/2811; 706/689/680; Body Temperature; Body Temperature Regulation - physiology; Climate; Crowdsourcing; Data Descriptor; Data processing; Demography; Environmental factors; Humanities and Social Sciences; Humans; Machine Learning; Methodology; multidisciplinary; Psychology; Questionnaires; Science; Science (multidisciplinary); Social Environment; Social networks; Social organization; Statistics; Surveys and Questionnaires; Thermoregulation
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-019-0029-2

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. Design Type(s) data collection and processing objective • behavioral data analysis objective Measurement Type(s) thermoregulation behavior Technology Type(s) crowd-sourced data generation Factor Type(s) age • sex • geographic location • Social Role Sample Characteristic(s) Homo sapiens • Germany • Chile • Turkey • Kingdom of Norway • United Kingdom • Poland • Portuguese Republic • Serbia • Singapore • China • United States of America • Switzerland Machine-accessible metadata file describing the reported data (ISA-Tab format)