Site type

Location

Coordinates (degrees)
048.705° N, 112.995° W
Coordinates (DMS)
048° 42' 00" W, 112° 59' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (28)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-101799 CHARCOAL NA AMS 343±33 BP 480–312 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101800 CHARCOAL NA AMS 309±37 BP 470–297 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101801 CHARCOAL NA AMS 308±37 BP 470–296 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101802 CHARCOAL NA AMS 391±38 BP 511–317 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101803 CHARCOAL NA AMS 349±37 BP 491–314 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101804 BONE Bison bone AMS 340±37 BP 483–310 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101805 CHARCOAL NA AMS 152±37 BP 284–52 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101806 BONE Bison bone AMS 270±37 BP 457–151 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101807 CHARCOAL NA AMS 380±37 BP 507–316 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101808 CHARCOAL NA AMS 341±37 BP 483–310 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-101809 BONE Bison bone AMS 447±38 BP 542–335 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-77842 BONE Bison bone AMS 380±30 BP 503–319 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-77843 CHARCOAL Artemisia AMS 840±33 BP 792–680 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-92168 BONE Bison bone AMS 337±42 BP 483–308 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-92169 CHARCOAL NA AMS 320±35 BP 471–305 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-93233 BONE Bison bone AMS 420±41 BP 529–320 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-93284 CHARCOAL NA AMS 39±34 BP 257–32 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-93285 BONE Bison bone AMS 264±40 BP 455–150 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-93286 CHARCOAL NA AMS 239±41 BP 435–141 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022
AA-93287 CHARCOAL NA AMS 216±90 BP 450–350 cal BP Bethke et al 2018 Complementary approaches to the identification… Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Bethke et al 2018 Complementary approaches to the identification…]
  • 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] 
@misc{Bethke et al 2018 Complementary approaches to the identification…,
  
}
@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":"Bethke et al 2018 Complementary approaches to the identification…","bibtex_type":"misc"}[{"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: Bethke et al 2018 Complementary approaches to the identification…
:bibtex_type: :misc
---
- :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}"

Changelog