Evidence map›Paper›PMID 35087092›Full record

ArticleScientific data2022

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 and 10 more

Abstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
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  9. Modern archaeological research and the importance of information management.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. The long-term expansion and recession of human populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Positive feedbacks in deep-time transitions of human populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  13. Article
  14. Towards understanding human-environment feedback loops: the Atacama Desert case.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  15. Review
  16. Review
  17. Article
  18. The expansion of agriculture has shaped the recent evolutionary history of a specialized squash pollinator.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Darcy BirdMax Planck Institute for the Science of Human History, Jena, Germany. darcy.bird@wsu.edu.ORCID http://orcid.org/0000-0003-3466-6284
Lux MirandaDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, USA.
Marc Vander LindenDepartment of Archaeology and Anthropology, Bournemouth University, Poole, UK.
Erick RobinsonDepartment of Anthropology, Boise State University, Boise, USA.
R Kyle BocinskyMontana Climate Office, WA Franke College of Forestry and Conservation, University of Montana, Missoula, USA.ORCID http://orcid.org/0000-0003-1862-3428
Chris NicholsonCenter for Digital Antiquity, School of Human Evolution and Social Change, Arizona State University, Tempe, USA.
José M CaprilesDepartment of Anthropology, The Pennsylvania State University, State College, USA.
Judson Byrd FinleyAnthropology Program, Utah State University, Logan, USA.
Eugenia M GayoCenter of Applied Ecology and Sustainability (CAPES) & Nucleo Milenio UPWELL, Santiago, Chile.
Adolfo GilInstituto de Evolución, Ecología Histórica y Ambiente (CONICET & UTN), Mendoza, Argentina.
Jade d'Alpoim GuedesDepartment of Anthropology, Scripps Institution of Oceanography, University of California - San Diego, San Diego, USA.
Julie A HoggarthDepartment of Anthropology & Institute of Archaeology, Baylor University, Waco, USA.
Andrea KayMax Planck Institute for the Science of Human History, Jena, Germany.
Emma LoftusDepartment of Archaeology, University of Cambridge, Cambridge, UK.
Umberto LombardoInstitute of Geography, University of Bern, Bern, Switzerland.
Madeline MackieDepartment of Sociology and Anthropology, Weber State University, Ogden, USA.
Alessio PalmisanoDepartment of Ancient History, Ludwig-Maximilians-Universität München, München, Germany.ORCID http://orcid.org/0000-0003-0758-5032
Steinar SolheimMuseum of Cultural History, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0001-8293-8147
Robert L KellyDepartment of Anthropology, University of Wyoming, Laramie, USA.
Jacob FreemanAnthropology Program, Utah State University, Logan, USA. jacob.freeman@usu.edu.

Funding

Consejo Nacional de Ciencia y Tecnología (CONCYT) ANID_PIA/BASAL FB0002Consejo Nacional de Ciencia y Tecnología (CONCYT) Fondecyt #118012National Science Foundation (NSF) 18-22033National Science Foundation (NSF) BCS 14-18858National Science Foundation (NSF) BCS 16-24061
6 · The paper itself

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.

Identifiers

PMID35087092
PMCPMC8795199

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.