p3k14c, a synthetic global database of archaeological radiocarbon dates.
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Authors
Miranda, Lux
Vander Linden, Marc
Robinson, Erick
Nicholson, Chris
Capriles, José M
Finley, Judson Byrd
Gayo, Eugenia M
Gil, Adolfo
d'Alpoim Guedes, Jade
Hoggarth, Julie A
Kay, Andrea
Loftus, Emma
Lombardo, Umberto
Mackie, Madeline
Kelly, Robert L
Freeman, Jacob
Publication Date
2022-01-27Journal Title
Sci Data
ISSN
2052-4463
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., et al. (2022). p3k14c, a synthetic global database of archaeological radiocarbon dates.. Sci Data, 9 (1) https://doi.org/10.1038/s41597-022-01118-7
Abstract
Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies.
Sponsorship
National Science Foundation (NSF) (18-22033, BCS 14-18858, BCS 16-24061)
Consejo Nacional de Ciencia y Tecnología (CONCYT) (ANID_PIA/BASAL FB0002, Fondecyt #118012)
Identifiers
PMC8795199, 35087092
External DOI: https://doi.org/10.1038/s41597-022-01118-7
This record's URL: https://www.repository.cam.ac.uk/handle/1810/334531
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