- Opposite-sex social relationships are important predictors of fitness in many animals, including several group-living mammals. Consequently, understanding sources of variance in the tendency to form opposite-sex relationships is important for understanding social evolution. Genetic contributions are of particular interest due to their importance in long-term evolutionary change, but little is known about genetic effects on male-female relationships in social mammals, especially outside of the mating context. Here, we investigate the effects of genetic ancestry on male-female affiliative behavior in a hybrid zone between the yellow baboon (Papio cynocephalus) and the anubis baboon (P. anubis), in a population in which male-female social bonds are known predictors of ... [Read More]
- Total Size
- 5 files (6.58 MB)
- Data Citation
- Fogel, A. S., McLean, E. M., Gordon, J. B., Archie, E. A., Tung, J., & Alberts, S. C. (2021). Data from: Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone. Duke Research Data Repository. https://doi.org/10.7924/r4kp82d1z
- Creator
- DOI
- 10.7924/r4kp82d1z
- Subject
- Publication Date
- June 3, 2021
- ARK
- ark:/87924/r4kp82d1z
- Affiliation
- Publisher
- Collection Dates
- 1999-2015
- Location
- Kenya, , Kenya
- Type
- Related Materials
- Funding Agency
- National Institutes of Health
- National Science Foundation
- North Carolina Biotechnology Center
- Grant Number
- NIH R01AG053330
- North Carolina Biotechnology Center 2016-IDG-1013
- NSF GRFP DGE #1644868
- NSF IOS 1456832
- NIH T32GM007754
- NIH R01HD088558
- NIH P01AG031719
- NSF IOS 1501971
- NIH R01AG053308
- Contact
- Susan Alberts: alberts@duke.edu, ORCID: 0000-0002-1313-488X
- Title
- Data from: Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone
- Repository
Thumbnail | Title | Date Uploaded | Visibility | Actions |
---|---|---|---|---|
README_FogelEtAl_2021_Data.pdf | 2021-06-03 | Download | ||
geno_anonymized.csv | 2021-06-03 | Download | ||
groom_anonymized.csv | 2021-06-03 | Download | ||
prox_anonymized.csv | 2021-06-03 | Download | ||
unique_social_group_months_FigS1.csv | 2021-06-03 | Download |
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