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
Puente Quilo A-11226 NA charcoal NA NA 4890±70 BP 5880–5471 cal BP Ocampo & Rivas 2004 Bird et al. 2022
Puente Quilo A-11228 NA charcoal NA NA 4715±100 BP 5655–5054 cal BP Ocampo & Rivas 2004 Bird et al. 2022
Centro Acuicultura Metri A-13717 NA charcoal NA NA 4540±70 BP 5457–4963 cal BP Flores & Lira 2006 Bird et al. 2022
Centro Acuicultura Metri A-13718 NA charcoal NA NA 4665±65 BP 5582–5147 cal BP Flores & Lira 2006 Bird et al. 2022
Lago Sofia 1 A-7238 NA NA NA NA 7740±200 BP 9117–8045 cal BP Martinic 1996 Bird et al. 2022
Sine-Ngayène A-0034 NA NA NA NA 736±42 BP 730–566 cal BP Holl Augustin F.C. and Bocoum Hamadi (2014). Les Traditions Mégalithiques de Sénégambie. Editions Errance Arles. Bird et al. 2022
Checua A-03 NA charcoal NA NA 8200±110 BP 9472–8780 cal BP Groot A. M. (1992). Checua: una secuencia cultural entre 8500 y 3000 anos antes del presente. Fundacion de investigaciones arqueologicos nacionales. Banco de la Republica Bogota. Bird et al. 2022
Sine-Ngayène A-0333 NA NA NA NA 516±43 BP 630–495 cal BP Holl Augustin F.C. and Bocoum Hamadi (2014). Les Traditions Mégalithiques de Sénégambie. Editions Errance Arles. Bird et al. 2022
Snaggy Ridge 2 quarry pits A-10052 NA UNKNOWN NA NA 7550±130 BP 8593–8038 cal BP UWyo2021 Bird et al. 2022
Dead Horse Cliffs A-10062 NA CHARCOAL NA RADIOMETRIC 1430±80 BP 1518–1177 cal BP Huckleberry and Pearthree 2005 Bird et al. 2022
Powers-Yonkee A-10077 NA BONE Bison sp. metacarpal RADIOMETRIC 2425±155 BP 2847–2070 cal BP T.E. Roll p.c. 2002; Faunmap 347 Bird et al. 2022
Powers-Yonkee A-10078 NA BONE Bison sp. rib RADIOMETRIC 2600±210 BP 3225–2147 cal BP T.E. Roll p.c. 2002; Faunmap 347 Bird et al. 2022
Ash Meadows A-1015 NA CHARCOAL Charcoal avg of 5 RADIOMETRIC 1950±100 BP 2145–1615 cal BP Livingstone and Nials 1990 Bird et al. 2022
Tuc d'Audoubert gallerie dessins A-102390 NA bone NA NA 13750±160 BP 17073–16195 cal BP BÔøΩgouen 2009 Bird et al. 2022
Dates from unknown sites A-10261 NA CHARCOAL Fraxinus RADIOMETRIC 10760±100 BP 12907–12491 cal BP Haynes 2007b; Berry and Berry 1986; Long and Muller 1981: 209 Bird et al. 2022
Ventana Cave A-10268 NA CHARCOAL NA RADIOMETRIC 1540±70 BP 1545–1300 cal BP Berry and Berry 1986; Faunmap 1251 Bird et al. 2022
Wolcott Peak A-10295 NA CHARCOAL NA RADIOMETRIC 2030±180 BP 2415–1532 cal BP Berry and Berry 1986; Haynes and Huckell 1986 Bird et al. 2022
Bonner-Young (No name in PASS) A-10298 NA UNKNOWN NA NA 470±45 BP 623–334 cal BP Carr et al. 2020 Arch of Nat Amer in Penn. Bird et al. 2022
Murray Springs A-1045 NA CHARCOAL NA RADIOMETRIC 10760±100 BP 12907–12491 cal BP Haynes 2007b Bird et al. 2022
Scattered Village A-10610 NA CHARCOAL NA RADIOMETRIC 115±35 BP 273–9 cal BP Ahler 2002 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}, }