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-34586 charcoal; charbon de bois NA NA 12320±130 BP 14975–14023 cal BP Ray et al. 2000 Bird et al. 2022
AA-34587 charcoal; charbon de bois NA NA 11930±110 BP 14049–13523 cal BP Ray et al. 2000 Bird et al. 2022
AA-34588 charcoal; charbon de bois NA NA 12250±100 BP 14837–13861 cal BP Ray et al. 2000 Bird et al. 2022
AA-34589 charcoal; charbon de bois NA NA 11375±80 BP 13410–13115 cal BP Ray et al. 2000 Bird et al. 2022
AA-34590 charcoal; charbon de bois NA NA 12590±85 BP 15245–14440 cal BP Ray et al. 2000 Bird et al. 2022
AA-35365 CHARCOAL NA AMS 9800±1100 BP 13764–8485 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35366 CHARCOAL NA AMS 4400±260 BP 5649–4292 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35367 CHARCOAL NA AMS 3340±60 BP 3811–3447 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35460 CHARCOAL NA AMS 12740±85 BP 15470–14965 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35461 CHARCOAL NA AMS 9270±240 BP 11193–9795 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35462 CHARCOAL NA AMS 9835±70 BP 11602–11107 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35486 CHARCOAL NA AMS 13200±130 BP 16249–15480 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35487 CHARCOAL NA AMS 11930±110 BP 14049–13523 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35488 CHARCOAL NA AMS 12250±340 BP 15385–13469 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35489 CHARCOAL NA AMS 11375±80 BP 13410–13115 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-35490 CHARCOAL NA AMS 12590±85 BP 15245–14440 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-36479 CHARCOAL NA AMS 12590±95 BP 15251–14357 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-36480 CHARCOAL NA AMS 12820±80 BP 15565–15101 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000; PIDBA Bird et al. 2022
AA-38388 CHARCOAL NA AMS 12040±80 BP 14078–13770 cal BP Hajic et al. 2000:31; Lopinot et al. eds. 1998:91-93 2000 Bird et al. 2022
AA-56587 SEEDS NA AMS 3060±40 BP 3364–3170 cal BP Ray et al. 2009; 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