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
Donaldson A-4200 CHARCOAL NA RADIOMETRIC 2400±90 BP HUCKELL 1995 Bird et al. 2022
Donaldson A-4201 CHARCOAL NA RADIOMETRIC 2380±90 BP HUCKELL 1995 Bird et al. 2022
Wadi Safsaf site 84 M9-11 A-4215 charcoal NA NA 5650±130 BP McHugh ea. 1989 Bird et al. 2022
Carter Ranch A-425a CHARCOAL NA RADIOMETRIC 1020±40 BP Berry 1982 Bird et al. 2022
Hell Gap A-432 CHARCOAL NA RADIOMETRIC 1000±160 BP Haynes 1967;Damon et al. 1964; Frison 1991A Bird et al. 2022
Dynasty XII A-433 wood NA NA 3670±60 BP Barker and Mackey 1963 105 Bird et al. 2022
Askut A-434 wood NA NA 3560±50 BP Barker and Mackey 1963 105 Bird et al. 2022
Todson Cave A-4366 CHARCOAL wood burial cover RADIOMETRIC 2800±80 BP MacNeish 1993 Bird et al. 2022
Buhen A-437 wood NA NA 3520±70 BP Barker and Mackey 1963 106 Bird et al. 2022
Las Colinas A-4380 UNKNOWN NA RADIOMETRIC 1070±60 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4381 UNKNOWN NA RADIOMETRIC 1100±60 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4382 UNKNOWN NA RADIOMETRIC 880±60 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4383 UNKNOWN NA RADIOMETRIC 1160±60 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4384 UNKNOWN NA RADIOMETRIC 980±70 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4385 UNKNOWN NA RADIOMETRIC 870±50 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4386 UNKNOWN NA RADIOMETRIC 1000±70 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4387 UNKNOWN NA RADIOMETRIC 870±70 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4388 UNKNOWN NA RADIOMETRIC 840±70 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Las Colinas A-4389 UNKNOWN NA RADIOMETRIC 940±90 BP Gregory et al. 1988 The 1982-1984 Excavations at Las Colinas Bird et al. 2022
Dates from unknown sites A-4430 CHARCOAL NA RADIOMETRIC 790±20 BP Lovis et al 2020-Reconstructing the precontact Late Woodland archaeology… 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}, }