p3k14c, a synthetic global database of archaeological radiocarbon dates
Bird, Darcy (Max Planck Institute for the Science of Human History)
Miranda, Lux (University of Central Florida. Department of Industrial Engineering and Management Systems)
Vander Linden, Marc (Bournemouth University. Department of Archaeology and Anthropology)
Robinson, Erick (Boise State University. Department of Anthropology)
Bocinsky, R. Kyle (University of Montana. WA Franke College of Forestry and Conservation)
Nicholson, Chris (Arizona State University. Center for Digital Antiquity)
Capriles, José M. (The Pennsylvania State University. Department of Anthropology)
Finley, Judson Byrd (Utah State University. Anthropology Program)
Gayo, Eugenia M. (Center of Applied Ecology and Sustainability (Chile))
Gil, Adolfo (Instituto de Evolución, Ecología Histórica y Ambiente (Argentina))
d'Alpoim Guedes, Jade (University of California. Department of Anthropology)
Hoggarth, Julie A. (Baylor University. Department of Anthropology)
Kay, Andrea (Max Planck Institute for the Science of Human History)
Loftus, Emma (University of Cambridge. Department of Archaeology)
Lombardo, Umberto (University of Bern. Institute of Geography)
Mackie, Madeline (Weber State University. Department of Sociology and Anthropology)
Palmisano, Alessio (Ludwig-Maximilians-Universität München. Department of Ancient History)
Solheim, Steinar (University of Oslo. Museum of Cultural History)
Kelly, Robert L. (University of Wyoming. Department of Anthropology)
Freeman, Jacob (Utah State University. The Ecology Center)

Data:	2022
Resum:	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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Archaeology ; Chemistry
Publicat a:	Scientific data, Vol. 9 (January 2022) , art. 27, ISSN 2052-4463

DOI: 10.1038/s41597-022-01118-7
PMID: 35087092

19 p, 3.5 MB

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