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  Cross-cultural dataset for the evolution of religion and morality project

Purzycki, B. G., Apicella, C., Atkinson, Q. D., Cohen, E., McNamara, R. A., Willard, A. K., et al. (2016). Cross-cultural dataset for the evolution of religion and morality project. Scientific Data, 3: 160099. doi:10.1038/sdata.2016.99.

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Purzycki_Cross-cultural_ScieData_2016.pdf (Publisher version), 405KB
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Purzycki_Cross-cultural_ScieData_2016.pdf
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Copyright Date:
2016
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© The Author(s) 2016 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.

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 Creators:
Purzycki, Benjamin Grant1, Author
Apicella, Coren, Author
Atkinson, Quentin D., Author
Cohen, Emma1, Author
McNamara, Rita Anne, Author
Willard, Aiyana K., Author
Xygalatas, Dimitris, Author
Norenzayan, Ara, Author
Henrich, Joseph, Author
Affiliations:
1Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_2173689              

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Free keywords: Cultural evolution; Human behaviour
 Abstract: A considerable body of research cross-culturally examines the evolution of religious traditions, beliefs and behaviors. The bulk of this research, however, draws from coded qualitative ethnographies rather than from standardized methods specifically designed to measure religious beliefs and behaviors.

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Language(s): eng - English
 Dates: 2016-11-08
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/sdata.2016.99
 Degree: -

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Title: Scientific Data
Source Genre: Journal
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Pages: - Volume / Issue: 3 Sequence Number: 160099 Start / End Page: - Identifier: ISSN: 2052-4463