p3k14c, a synthetic global database of archaeological radiocarbon dates

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 f...

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Detalles Bibliográficos
Autores: Bird, Darcy|||0000-0003-3466-6284, Miranda, Lux, Vander Linden, Marc, Robinson, Erick, Bocinsky, R. Kyle|||0000-0003-1862-3428, Nicholson, Chris, Capriles, José M.|||0000-0001-6046-0939, Finley, Judson Byrd, Gayo, Eugenia M., Gil, Adolfo, d'Alpoim Guedes, Jade, Hoggarth, Julie A., Kay, Andrea|||0000-0001-8285-1893, Loftus, Emma, Lombardo, Umberto|||0000-0002-0001-4870, Mackie, Madeline, Palmisano, Alessio|||0000-0003-0758-5032, Solheim, Steinar|||0000-0001-8293-8147, Kelly, Robert L., Freeman, Jacob
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:292382
Acceso en línea:https://ddd.uab.cat/record/292382
https://dx.doi.org/urn:doi:10.1038/s41597-022-01118-7
Access Level:acceso abierto
Palabra clave:Archaeology
Chemistry
Descripción
Sumario: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.

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