Data from the Human Penguin Project, a cross-national dataset testing social thermoregulation principles
Author
dc.contributor.author
Hu, Chuan Peng
Author
dc.contributor.author
Yin, Ji Xing
Author
dc.contributor.author
Lindenberg, Siegwart
Author
dc.contributor.author
Dalğar, İlker
Author
dc.contributor.author
Weissgerber, Sophia C.
Author
dc.contributor.author
Vergara, Rodrigo C.
Author
dc.contributor.author
Cairo, Athena H.
Author
dc.contributor.author
Čolić, Marija V.
Author
dc.contributor.author
Dursun, Pinar
Author
dc.contributor.author
Frankowska, Natalia
Author
dc.contributor.author
Hadi, Rhonda
Author
dc.contributor.author
Hall, Calvin J.
Author
dc.contributor.author
Hong, Youngki
Author
dc.contributor.author
Joy-Gaba, Jennifer
Author
dc.contributor.author
Lazarević, Dušanka
Author
dc.contributor.author
Admission date
dc.date.accessioned
2019-10-30T15:18:58Z
Available date
dc.date.available
2019-10-30T15:18:58Z
Publication date
dc.date.issued
2019
Cita de ítem
dc.identifier.citation
Scientific data, Volumen 6, Issue 1, 2019,
Identifier
dc.identifier.issn
20524463
Identifier
dc.identifier.other
10.1038/s41597-019-0029-2
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/172151
Abstract
dc.description.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.