Site type

Location

Coordinates (degrees)
036.789° N, 099.668° W
Coordinates (DMS)
036° 47' 00" W, 099° 40' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (23)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-60260 NA BONE NA NA 7020±120 BP 8035–7605 cal BP Bement 1999: 44 Bird et al. 2022
Beta-80913 NA CHARCOAL NA NA 1930±70 BP 2040–1644 cal BP Tryon and Philpotts 1997; Matt Boulanger personal communication 2016 Bird et al. 2022
Beta-80914 NA CHARCOAL NA NA 970±50 BP 958–745 cal BP Tryon and Philpotts 1997; Matt Boulanger personal communication 2016 Bird et al. 2022
CAMS-82407 NA BONE NA AMS 10530±45 BP 12678–12475 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
CAMS-94849 NA BONE NA AMS 10505±45 BP 12674–12199 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
CAMS-94850 NA BONE NA AMS 10600±40 BP 12710–12495 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
I-11367 NA charcoal; charbon de bois NA NA 955±80 BP 1051–689 cal BP Murphy and Ferris 1990; Spence et al. 1990; Spence and Fox 1986; Fox 1980a Bird et al. 2022
I-11779 NA charcoal; charbon de bois NA NA 800±75 BP 910–568 cal BP Kiel DB 4350 Bird et al. 2022
I-11826 NA charcoal; charbon de bois NA NA 750±75 BP 897–552 cal BP Williamson 1990; Cooper and Savage 1994; Timmins 1985; Spence et al. 1990; Fox 1982b 1983b Bird et al. 2022
I-11841 NA charcoal; charbon de bois NA NA 730±75 BP 785–551 cal BP CARD Bird et al. 2022
UCIAMS-140846/PSU-6074 NA BONE NA AMS 10525±30 BP 12659–12480 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-140847/PSU-6075 NA BONE NA AMS 10565±30 BP 12680–12491 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-140848/PSU-6076 NA BONE NA AMS 10575±30 BP 12686–12492 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-140849/PSU-6077 NA BONE NA AMS 10560±30 BP 12678–12490 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-140850/PSU-6078 NA BONE NA AMS 10570±30 BP 12682–12492 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-140851/PSU-6079 NA BONE NA AMS 10630±30 BP 12715–12620 cal BP Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains Bird et al. 2022
UCIAMS-162199 NA SEEDS Zea mays AMS 605±20 BP 647–550 cal BP Wilson et al. 2017 Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis Bird et al. 2022
UCIAMS-162200 NA SEEDS Zea mays AMS 600±15 BP 640–551 cal BP Wilson et al. 2017 Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis Bird et al. 2022
UCIAMS-162201 NA SEEDS Zea mays AMS 810±20 BP 730–685 cal BP Wilson et al. 2017 Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis Bird et al. 2022
UCIAMS-162202 NA SEEDS Zea mays AMS 825±20 BP 770–684 cal BP Wilson et al. 2017 Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Kiel DB 4350,
  
}
@misc{CARD,
  
}
@misc{Bement 1999: 44,
  
}
@misc{Tryon and Philpotts 1997; Matt Boulanger personal communication 2016,
  
}
@misc{Carlson et al. 2016- Tightening chronology of Paleoindian Bison Kill Sites on the Northern and Southern Plains,
  
}
@misc{Wilson et al. 2017 Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis,
  
}
@misc{Murphy and Ferris 1990; Spence et al. 1990; Spence and Fox 1986; Fox 1980a,
  
}
@misc{Williamson 1990; Cooper and Savage 1994; Timmins 1985; Spence et al. 1990; Fox 1982b 1983b,
  
}
@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":"Kiel DB 4350","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"Bement 1999: 44","bibtex_type":"misc"}{"bibtex_key":"Tryon and Philpotts 1997; Matt Boulanger personal communication 2016","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":"Wilson et al. 2017 Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis","bibtex_type":"misc"}{"bibtex_key":"Murphy and Ferris 1990; Spence et al. 1990; Spence and Fox 1986; Fox 1980a","bibtex_type":"misc"}{"bibtex_key":"Williamson 1990; Cooper and Savage 1994; Timmins 1985; Spence et al. 1990; Fox 1982b 1983b","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: Kiel DB 4350
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: 'Bement 1999: 44'
:bibtex_type: :misc
---
:bibtex_key: Tryon and Philpotts 1997; Matt Boulanger personal communication 2016
: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: Wilson et al. 2017 Reassessing the chronology of the Mississippian Central
  Illinois River Valley using Bayesian analysis
:bibtex_type: :misc
---
:bibtex_key: Murphy and Ferris 1990; Spence et al. 1990; Spence and Fox 1986; Fox
  1980a
:bibtex_type: :misc
---
:bibtex_key: Williamson 1990; Cooper and Savage 1994; Timmins 1985; Spence et al.
  1990; Fox 1982b 1983b
: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