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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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Autores principales: Bird, Darcy, Miranda, Lux, Vander Linden, Marc, Robinson, Erick, Bocinsky, R. Kyle, 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, Palmisano, Alessio, Solheim, Steinar, Kelly, Robert L., Freeman, Jacob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795199/
https://www.ncbi.nlm.nih.gov/pubmed/35087092
http://dx.doi.org/10.1038/s41597-022-01118-7
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author Bird, Darcy
Miranda, Lux
Vander Linden, Marc
Robinson, Erick
Bocinsky, R. Kyle
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
Palmisano, Alessio
Solheim, Steinar
Kelly, Robert L.
Freeman, Jacob
author_facet Bird, Darcy
Miranda, Lux
Vander Linden, Marc
Robinson, Erick
Bocinsky, R. Kyle
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
Palmisano, Alessio
Solheim, Steinar
Kelly, Robert L.
Freeman, Jacob
author_sort Bird, Darcy
collection PubMed
description 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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spelling pubmed-87951992022-02-07 p3k14c, a synthetic global database of archaeological radiocarbon dates Bird, Darcy Miranda, Lux Vander Linden, Marc Robinson, Erick Bocinsky, R. Kyle 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 Palmisano, Alessio Solheim, Steinar Kelly, Robert L. Freeman, Jacob Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-01-27 /pmc/articles/PMC8795199/ /pubmed/35087092 http://dx.doi.org/10.1038/s41597-022-01118-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Bird, Darcy
Miranda, Lux
Vander Linden, Marc
Robinson, Erick
Bocinsky, R. Kyle
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
Palmisano, Alessio
Solheim, Steinar
Kelly, Robert L.
Freeman, Jacob
p3k14c, a synthetic global database of archaeological radiocarbon dates
title p3k14c, a synthetic global database of archaeological radiocarbon dates
title_full p3k14c, a synthetic global database of archaeological radiocarbon dates
title_fullStr p3k14c, a synthetic global database of archaeological radiocarbon dates
title_full_unstemmed p3k14c, a synthetic global database of archaeological radiocarbon dates
title_short p3k14c, a synthetic global database of archaeological radiocarbon dates
title_sort p3k14c, a synthetic global database of archaeological radiocarbon dates
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795199/
https://www.ncbi.nlm.nih.gov/pubmed/35087092
http://dx.doi.org/10.1038/s41597-022-01118-7
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