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)
045.517° N, 104.536° W
Coordinates (DMS)
045° 31' 00" W, 104° 32' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-3667 CHARCOAL NA AMS 1836±55 BP 1884–1600 cal BP Frison 1996: 33 38 Bird et al. 2022
AA-3669 CHARCOAL NA AMS 10770±85 BP 12891–12616 cal BP Frison 1996; Haynes 1992: 361; Haynes et al. 1992; Stanford 1999: 307 Bird et al. 2022
NZA-623 CHARCOAL NA AMS 10990±170 BP 13234–12684 cal BP Frison 1996; Haynes 1992: 361; Stanford 1999: 307 Bird et al. 2022
NZA-624 CHARCOAL NA AMS 11560±920 BP 16190–11174 cal BP Frison 1996; Haynes 1992: 361; Stanford 1999: 307 Bird et al. 2022
NZA-625 CHARCOAL NA AMS 11570±170 BP 13775–13124 cal BP Frison 1996; Haynes 1992: 361; Stanford 1999: 307 Bird et al. 2022
UCIAMS-122577 BONE NA AMS 10440±25 BP 12595–12109 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-122578 BONE NA AMS 10465±25 BP 12608–12203 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-61659 BONE NA AMS 10450±25 BP 12602–12195 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-98370 BONE NA AMS 10465±20 BP 12603–12279 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-98371 BONE NA AMS 10435±25 BP 12591–12107 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Frison 1996: 33 38,
  
}
@misc{Frison 1996; Haynes 1992: 361; Haynes et al. 1992; Stanford 1999: 307,
  
}
@misc{Frison 1996; Haynes 1992: 361; Stanford 1999: 307,
  
}
@misc{Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains,
  
}
@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":"Frison 1996: 33 38","bibtex_type":"misc"}{"bibtex_key":"Frison 1996; Haynes 1992: 361; Haynes et al. 1992; Stanford 1999: 307","bibtex_type":"misc"}{"bibtex_key":"Frison 1996; Haynes 1992: 361; Stanford 1999: 307","bibtex_type":"misc"}{"bibtex_key":"Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains","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: 'Frison 1996: 33 38'
:bibtex_type: :misc
---
:bibtex_key: 'Frison 1996; Haynes 1992: 361; Haynes et al. 1992; Stanford 1999: 307'
:bibtex_type: :misc
---
:bibtex_key: 'Frison 1996; Haynes 1992: 361; Stanford 1999: 307'
:bibtex_type: :misc
---
:bibtex_key: Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill
  Sites on the Northern and Southern Plains
: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