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)
037.724° N, 093.857° W
Coordinates (DMS)
037° 43' 00" W, 093° 51' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (61)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-25778 CHARCOAL NA AMS 10260±85 BP 12472–11652 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-26480 CHARCOAL NA AMS 12820±80 BP 15565–15101 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-26653 CHARCOAL NA AMS 10185±75 BP 12428–11401 cal BP Lopinot et al. 1998 Bird et al. 2022
AA-26654 CHARCOAL NA AMS 10710±85 BP 12823–12491 cal BP Lopinot et al. 1998 Bird et al. 2022
AA-26655 CHARCOAL NA AMS 11940±80 BP 14026–13606 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27479 CHARCOAL NA AMS 9525±65 BP 11105–10590 cal BP Lopinot et al. 1998 Bird et al. 2022
AA-27480 CHARCOAL NA AMS 10340±100 BP 12608–11817 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27481 CHARCOAL NA AMS 11160±75 BP 13226–12850 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27482 CHARCOAL NA AMS 11190±75 BP 13237–12915 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27483 CHARCOAL NA AMS 11910±440 BP 15236–12990 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27484 CHARCOAL NA AMS 12700±180 BP 15645–14305 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27485 charcoal; charbon de bois NA NA 11280±75 BP 13305–13092 cal BP Lopinot et al. 1998 Bird et al. 2022
AA-27486 CHARCOAL NA AMS 11900±80 BP 14019–13525 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-27487 CHARCOAL NA AMS 10400±75 BP 12608–11948 cal BP Lopinot et al. 1998 Bird et al. 2022
AA-27488 CHARCOAL NA AMS 10470±80 BP 12676–12047 cal BP Lopinot et al. 1998 Bird et al. 2022
AA-29018 SEEDS NA AMS 4125±45 BP 4823–4524 cal BP Emerson et al. 2009 Archaic Societies: Diversity and Complexity across the Midcontinent Bird et al. 2022
AA-29019 CHARCOAL NA AMS 8190±60 BP 9398–9005 cal BP Emerson et al. 2009 Archaic Societies: Diversity and Complexity across the Midcontinent Bird et al. 2022
AA-29020 WOOD bark charred AMS 4130±45 BP 4824–4526 cal BP Emerson et al. 2009 Archaic Societies: Diversity and Complexity across the Midcontinent Bird et al. 2022
AA-29021 CHARCOAL NA AMS 10680±60 BP 12747–12505 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-29022 CHARCOAL NA AMS 10430±70 BP 12615–12001 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000,
  
}
@misc{Lopinot et al. 1998,
  
}
@misc{Emerson et al. 2009 Archaic Societies: Diversity and Complexity across the Midcontinent,
  
}
@misc{Ray et al. 2000,
  
}
@misc{Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000; PIDBA,
  
}
@misc{Ray et al. 2009;,
  
}
@misc{Thulman 2019 The age of the Dalton culture: a Bayesian analysis of the radiocarbon data,
  
}
@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":"Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000","bibtex_type":"misc"}{"bibtex_key":"Lopinot et al. 1998","bibtex_type":"misc"}{"bibtex_key":"Emerson et al. 2009 Archaic Societies: Diversity and Complexity across the Midcontinent","bibtex_type":"misc"}{"bibtex_key":"Ray et al. 2000","bibtex_type":"misc"}{"bibtex_key":"Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000; PIDBA","bibtex_type":"misc"}{"bibtex_key":"Ray et al. 2009;","bibtex_type":"misc"}{"bibtex_key":"Thulman 2019 The age of the Dalton culture: a Bayesian analysis of the radiocarbon data","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: Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000
:bibtex_type: :misc
---
:bibtex_key: Lopinot et al. 1998
:bibtex_type: :misc
---
:bibtex_key: 'Emerson et al. 2009 Archaic Societies: Diversity and Complexity across
  the Midcontinent'
:bibtex_type: :misc
---
:bibtex_key: Ray et al. 2000
:bibtex_type: :misc
---
:bibtex_key: Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000; PIDBA
:bibtex_type: :misc
---
:bibtex_key: Ray et al. 2009;
:bibtex_type: :misc
---
:bibtex_key: 'Thulman 2019 The age of the Dalton culture: a Bayesian analysis of the
  radiocarbon data'
: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