p3k14c, a synthetic global database of archaeological radiocarbon dates
Authors: Bird, D., Vander Linden, M. et al.
Journal: Scientific Data
Volume: 9
Issue: 1
eISSN: 2052-4463
DOI: 10.1038/s41597-022-01118-7
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.
https://eprints.bournemouth.ac.uk/36565/
Source: Scopus
p3k14c, a synthetic global database of archaeological radiocarbon dates.
Authors: Bird, D., Vander Linden, M. et al.
Journal: Sci Data
Volume: 9
Issue: 1
Pages: 27
eISSN: 2052-4463
DOI: 10.1038/s41597-022-01118-7
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.
https://eprints.bournemouth.ac.uk/36565/
Source: PubMed
p3k14c, a synthetic global database of archaeological radiocarbon dates
Authors: Bird, D., Vander Linden, M. et al.
Journal: SCIENTIFIC DATA
Volume: 9
Issue: 1
eISSN: 2052-4463
DOI: 10.1038/s41597-022-01118-7
https://eprints.bournemouth.ac.uk/36565/
Source: Web of Science (Lite)
p3k14c, a synthetic global database of archaeological radiocarbon dates.
Authors: Bird, D., Vander Linden, M. et al.
Journal: Scientific data
Volume: 9
Issue: 1
Pages: 27
eISSN: 2052-4463
ISSN: 2052-4463
DOI: 10.1038/s41597-022-01118-7
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.
https://eprints.bournemouth.ac.uk/36565/
Source: Europe PubMed Central
p3k14c, a synthetic global database of archaeological radiocarbon dates.
Authors: Bird, D., Vander Linden, M. et al.
Journal: Scientific Data
Volume: 9
Issue: 1
ISSN: 2052-4463
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.
https://eprints.bournemouth.ac.uk/36565/
Source: BURO EPrints