Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
038.667° N, 107.032° W
Coordinates (DMS)
038° 40' 00" W, 107° 01' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-98753 BONE collagen Bison antiquus AMS 10328±100 BP 12601–11765 cal BP UWyo2021 Bird et al. 2022
Beta-156433 OTHER post AMS 7650±40 BP 8536–8382 cal BP Stiger 2006 Bird et al. 2022
Beta-156434 OTHER post AMS 7650±40 BP 8536–8382 cal BP Stiger 2006 Bird et al. 2022
Beta-156435 OTHER Plant Material AMS 7000±40 BP 7934–7732 cal BP Stiger 2006 Bird et al. 2022
Beta-161857 CHARCOAL NA AMS 6950±70 BP 7933–7667 cal BP STIGER 2006 Bird et al. 2022
Beta-161858 CHARCOAL Plant Material AMS 7080±60 BP 8011–7790 cal BP Stiger 2006 Bird et al. 2022
Beta-170782 CHARCOAL NA NA 5280±40 BP 6188–5936 cal BP Andrews 2010-Folsom adaptive systems in the Upper… Bird et al. 2022
Beta-170783 CHARCOAL NA NA 8010±40 BP 9009–8659 cal BP Andrews 2010-Folsom adaptive systems in the Upper… Bird et al. 2022
Beta-170784 CHARCOAL NA NA 7760±40 BP 8598–8429 cal BP Andrews 2010-Folsom adaptive systems in the Upper… Bird et al. 2022
Beta-209164 WOOD semi-burned juniper NA 5020±60 BP 5903–5604 cal BP Andrews 2010-Folsom adaptive systems in the Upper… Bird et al. 2022
Beta-209165 CHARCOAL NA NA 4160±40 BP 4831–4575 cal BP Andrews 2010-Folsom adaptive systems in the Upper… Bird et al. 2022
CAMS-105764 BONE collagen Bison antiquus AMS 10440±50 BP 12613–12060 cal BP STIGER 2006 Bird et al. 2022
CAMS-105765 BONE collagen Bison antiquus AMS 10295±50 BP 12458–11832 cal BP Stiger 2006 Bird et al. 2022
UCIAMS-11240 BONE collagen Bison antiquus AMS 10380±30 BP 12470–12058 cal BP Stiger 2006 Bird et al. 2022
UCIAMS-11241 BONE collagen Bison antiquus AMS 10445±25 BP 12600–12192 cal BP Stiger 2006 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [UWyo2021]
  • No bibliographic information available. [Stiger 2006]
  • No bibliographic information available. [STIGER 2006]
  • No bibliographic information available. [Andrews 2010-Folsom adaptive systems in the Upper…]
  • 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{UWyo2021,
  
}
@misc{Stiger 2006,
  
}
@misc{STIGER 2006,
  
}
@misc{Andrews 2010-Folsom adaptive systems in the Upper…,
  
}
@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":"UWyo2021","bibtex_type":"misc"}{"bibtex_key":"Stiger 2006","bibtex_type":"misc"}{"bibtex_key":"STIGER 2006","bibtex_type":"misc"}{"bibtex_key":"Andrews 2010-Folsom adaptive systems in the Upper…","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: UWyo2021
:bibtex_type: :misc
---
:bibtex_key: Stiger 2006
:bibtex_type: :misc
---
:bibtex_key: STIGER 2006
:bibtex_type: :misc
---
:bibtex_key: Andrews 2010-Folsom adaptive systems in the Upper…
: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