p3k14c, a synthetic global database of archaeological radiocarbon dates

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

doi:10.1038/s41597-022-01118-7

p3k14c, a synthetic global database of archaeological radiocarbon dates

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

Society and Conservation

Research output: Contribution to journal › Article › peer-review

62 Scopus citations

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.

Original language	English
Article number	27
Journal	Scientific data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01118-7
State	Published - Dec 2022

Funding

We thank all archaeologists who dated materials at archaeological sites, and researchers who made these data available in any way. This study was undertaken by PEOPLE 3000, a working group of the Past Global Changes (PAGES) project, which in turn received support from the Swiss Academy of Sciences and the Chinese Academy of Sciences. EMG is funded through several grants, including: Fondecyt #118012, ANID–Millennium Science Initiative Program – NCN19_153, ANID, PIA/BASAL FB0002. The UWyo2021 project, managed by RLK, was funded through NSF Grants BCS 14-18858, 16-24061, and 18-22033.

Funders	Funder number
PIA/BASAL FB0002
BCS 14-18858, 18-22033, 16-24061, BCS 16-24061
Chinese Academy of Sciences
118012, NCN19_153

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10.1038/s41597-022-01118-7

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Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). p3k14c, a synthetic global database of archaeological radiocarbon dates. Scientific data, 9(1), Article 27. https://doi.org/10.1038/s41597-022-01118-7

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title = "p3k14c, a synthetic global database of archaeological radiocarbon dates",

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.",

author = "Darcy Bird and Lux Miranda and \{Vander Linden\}, Marc and Erick Robinson and Bocinsky, \{R. Kyle\} and Chris Nicholson and Capriles, \{Jos{\'e} M.\} and Finley, \{Judson Byrd\} and Gayo, \{Eugenia M.\} and Adolfo Gil and \{d{\textquoteright}Alpoim Guedes\}, Jade and Hoggarth, \{Julie A.\} and Andrea Kay and Emma Loftus and Umberto Lombardo and Madeline Mackie and Alessio Palmisano and Steinar Solheim and Kelly, \{Robert L.\} and Jacob Freeman",

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month = dec,

doi = "10.1038/s41597-022-01118-7",

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Bird, D, Miranda, L, Vander Linden, M, Robinson, E, Bocinsky, RK, Nicholson, C, Capriles, JM, Finley, JB, Gayo, EM, Gil, A, d’Alpoim Guedes, J, Hoggarth, JA, Kay, A, Loftus, E, Lombardo, U, Mackie, M, Palmisano, A, Solheim, S, Kelly, RL & Freeman, J 2022, 'p3k14c, a synthetic global database of archaeological radiocarbon dates', Scientific data, vol. 9, no. 1, 27. https://doi.org/10.1038/s41597-022-01118-7

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T1 - p3k14c, a synthetic global database of archaeological radiocarbon dates

AU - Bird, Darcy

AU - Miranda, Lux

AU - Vander Linden, Marc

AU - Robinson, Erick

AU - Bocinsky, R. Kyle

AU - Nicholson, Chris

AU - Capriles, José M.

AU - Finley, Judson Byrd

AU - Gayo, Eugenia M.

AU - Gil, Adolfo

AU - d’Alpoim Guedes, Jade

AU - Hoggarth, Julie A.

AU - Kay, Andrea

AU - Loftus, Emma

AU - Lombardo, Umberto

AU - Mackie, Madeline

AU - Palmisano, Alessio

AU - Solheim, Steinar

AU - Kelly, Robert L.

AU - Freeman, Jacob

PY - 2022/12

Y1 - 2022/12

N2 - 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.

AB - 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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VL - 9

JO - Scientific data

JF - Scientific data

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ER -

p3k14c, a synthetic global database of archaeological radiocarbon dates

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