p3k14c, a synthetic global database of archaeological radiocarbon dates
Autor: | Darcy Bird, Lux Miranda, Marc Vander Linden, Erick Robinson, R. Kyle Bocinsky, Chris Nicholson, José M. Capriles, Judson Byrd Finley, Eugenia M. Gayo, Adolfo Gil, Jade d’Alpoim Guedes, Julie A. Hoggarth, Andrea Kay, Emma Loftus, Umberto Lombardo, Madeline Mackie, Alessio Palmisano, Steinar Solheim, Robert L. Kelly, Jacob Freeman |
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Přispěvatelé: | Bird, Darcy [0000-0003-3466-6284], Bocinsky, R Kyle [0000-0003-1862-3428], Palmisano, Alessio [0000-0003-0758-5032], Solheim, Steinar [0000-0001-8293-8147], Apollo - University of Cambridge Repository |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Statistics and Probability
Data Descriptor Science Library and Information Sciences Computer Science Applications Education Chemistry 706/689/19/27 Archaeology 4301 Archaeology 639/638 Statistics Probability and Uncertainty data-descriptor 43 History Heritage and Archaeology 31 Biological Sciences Information Systems |
Zdroj: | Scientific Data, Vol 9, Iss 1, Pp 1-19 (2022) Scientific Data |
ISSN: | 2052-4463 |
DOI: | 10.1038/s41597-022-01118-7 |
Popis: | 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. Measurement(s)radiocarbon ageTechnology Type(s)accelerator mass spectrometerSample Characteristic - Locationglobal Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.15152097 |
Databáze: | OpenAIRE |
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