Bird et al. 2022

Bibliographic reference Bibliographic reference

  • 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), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c] 
@article{p3k14c,
  title = {P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates},
  author = {Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob},
  year = {2022},
  month = {jan},
  journal = {Scientific Data},
  volume = {9},
  number = {1},
  pages = {27},
  publisher = {Nature Publishing Group},
  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.},
  copyright = {2022 The Author(s)},
  langid = {english},
  keywords = {Archaeology,Chemistry},
  month_numeric = {1}
}

[{"bibtex_key":"p3k14c","bibtex_type":"article","title":"{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}","author":"{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob}","year":"{2022}","month":"{jan}","journal":"{Scientific Data}","volume":"{9}","number":"{1}","pages":"{27}","publisher":"{Nature Publishing Group}","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.}","copyright":"{2022 The Author(s)}","langid":"{english}","keywords":"{Archaeology,Chemistry}","month_numeric":"{1}"}]
---
- :bibtex_key: p3k14c
  :bibtex_type: :article
  :title: "{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}"
  :author: "{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick
    and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson
    Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth,
    Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline
    and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman,
    Jacob}"
  :year: "{2022}"
  :month: "{jan}"
  :journal: "{Scientific Data}"
  :volume: "{9}"
  :number: "{1}"
  :pages: "{27}"
  :publisher: "{Nature Publishing Group}"
  :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.}"
  :copyright: "{2022 The Author(s)}"
  :langid: "{english}"
  :keywords: "{Archaeology,Chemistry}"
  :month_numeric: "{1}"

Citing records

There are 179689 records in XRONOS that cite this reference.

radiocarbon date Radiocarbon dates (179689)

Site Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Goddard A-302 SHELL marine Tivela south NA 5320±80 BP Rick and Glassow 1999 Middle Holocene Fisheries of the Central… Bird et al. 2022
Goddard A-303 SHELL Haliotis rufescens NA 5050±80 BP Rick and Glassow 1999 Middle Holocene Fisheries of the Central… Bird et al. 2022
Arical Dune Group A-3035 CHARCOAL NA RADIOMETRIC 3330±140 BP Bayham et al 1986 Bird et al. 2022
Fresnal Shelter A-3070 SEEDS Zea mays RADIOMETRIC 2540±200 BP Ancient Maize Database Bird et al. 2022
Fresnal Shelter A-3071 SEEDS Zea mays RADIOMETRIC 1990±320 BP Ancient Maize Database Bird et al. 2022
Wasp Canyon A-3103 CHARCOAL NA AMS 1990±370 BP Huckell 1984 Bird et al. 2022
Santa Cruz river Ina Road landfill A-3104 CHARCOAL NA RADIOMETRIC 3730±110 BP Haynes and Huckell 1986 Bird et al. 2022
Rodger's Shelter A-311 CHARCOAL NA RADIOMETRIC 9290±56 BP Thulman 2019 The age of the Dalton culture: a Bayesian analysis of the radiocarbon data Bird et al. 2022
Rodger's Shelter A-312 CHARCOAL NA RADIOMETRIC 8941±53 BP Thulman 2019 The age of the Dalton culture: a Bayesian analysis of the radiocarbon data Bird et al. 2022
Rodger's Shelter A-313 CHARCOAL NA RADIOMETRIC 9941±53 BP Thulman 2019 The age of the Dalton culture: a Bayesian analysis of the radiocarbon data Bird et al. 2022
Santa Cruz river Ina Road landfill A-3141 CHARCOAL NA RADIOMETRIC 1400±220 BP Haynes and Huckell 1986 Bird et al. 2022
Santa Cruz river Ina Road landfill A-3145 CHARCOAL NA RADIOMETRIC 3260±100 BP Haynes and Huckell 1986 Bird et al. 2022
Santa Cruz river Ina Road landfill A-3147 CHARCOAL NA RADIOMETRIC 3240±50 BP Haynes and Huckell 1986 Bird et al. 2022
Limestone House A-3152 CHARCOAL NA RADIOMETRIC 490±110 BP Ciolek-Torrello 1984 Archaeology of the Mazatzal Piedmont Bird et al. 2022
Sheep Camp Shelter (29SJ178) A-3159 SEEDS C. pepo seed RADIOMETRIC 2130±280 BP Simmons Alan H. (1984) Archaic Prehistory and Paleoenvironments in the San Juan Basin New Mexico: The Chaco Shelters Project. University of Kansas Museum of Anthropology Project Report Series No. 53 Lawrence Kansas. Bird et al. 2022
Whitewater Draw various localities A-3182 CHARCOAL NA RADIOMETRIC 1430±250 BP Waters 1986 Bird et al. 2022
Sheep Camp Shelter (29SJ178) A-3195 SEEDS C. pepo RADIOMETRIC 2220±290 BP SIMMONS 1986 Bird et al. 2022
Bechan Cave A-3212 mammoth feces; féces de mammouth NA NA 11670±300 BP Mead and Agenbroad 1992; Davis et al. 1984 1985; Faunmap 1055 Bird et al. 2022
Bechan Cave A-3213 mammoth feces; féces de mammouth NA NA 12900±160 BP Mead and Agenbroad 1992; Faunmap 1055; Davis et al. 1984 Bird et al. 2022
Dates from unknown sites A-323 SHELL Tivela stultorum NA 3700±250 BP Erlandson 1999 The Evolution of the Barbareno… Bird et al. 2022

Metadata

Record created in XRONOS on 2022-12-02 00:40:38 UTC. Last updated on 2023-03-23 09:29:26 UTC. See changelog for details.
Contributors: XRONOS development team

Changelog

Bibtex:
@Misc{p3k14c, url = {https://www.p3k14c.org/}, note = {Bird, D., Miranda, L., Vander Linden, M. et al. p3k14c, a synthetic global database of archaeological radiocarbon dates. Sci Data 9, 27 (2022). https://doi.org/10.1038/s41597-022-01118-7} } → @article{p3k14c, title = {P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}, author = {Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, Jos{\'e} M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and {d'Alpoim Guedes}, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob}, year = {2022}, month = jan, journal = {Scientific Data}, volume = {9}, number = {1}, pages = {27}, publisher = {{Nature Publishing Group}}, 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.}, copyright = {2022 The Author(s)}, langid = {english}, keywords = {Archaeology,Chemistry}, }