Site type

Location

Coordinates (degrees)
035.400° N, 110.322° W
Coordinates (DMS)
035° 23' 00" W, 110° 19' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (148)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
A-5284 CHARCOAL NA RADIOMETRIC 2775±45 BP Bontiager and Stone 1989 Bird et al. 2022
Beta-118147 CHARCOAL NA NA 4520±75 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-118150 SEEDS Zea mays AMS 2730±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-118151 SEEDS Zea mays RADIOMETRIC 2600±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-118153 CHARCOAL NA RADIOMETRIC 2450±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-118154 CHARCOAL NA RADIOMETRIC 2760±60 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-118155 CHARCOAL NA RADIOMETRIC 2430±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-118416 SEEDS Zea mays AMS 2930±50 BP Mabry 2008 Bird et al. 2022
Beta-119630 SEEDS Zea mays AMS 2750±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-119631 SEEDS Zea mays AMS 2820±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-119632 SEEDS Zea mays AMS 2550±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-119633 SEEDS Zea mays AMS 2930±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-119634 SEEDS Zea mays AMS 2660±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-123450 SEEDS Zea mays AMS 2810±70 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-129426 SEEDS Zea mays AMS 2880±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-129427 SEEDS Zea mays AMS 2840±50 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-133890 SEEDS Zea mays AMS 2710±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-133891 SEEDS Zea mays AMS 2770±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-133892 SEEDS Zea mays AMS 2670±40 BP Whittlesey Hesse and Foster 2010 Recurrent Sedentism… Bird et al. 2022
Beta-133893 SEEDS Zea mays AMS 2650±40 BP UWyo2021 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Bontiager and Stone 1989]
  • No bibliographic information available. [Whittlesey Hesse and Foster 2010 Recurrent Sedentism…]
  • No bibliographic information available. [Mabry 2008]
  • No bibliographic information available. [UWyo2021]
  • No bibliographic information available. [Vint 2015]
  • 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{Bontiager and Stone 1989,
  
}
@misc{Whittlesey Hesse and Foster 2010 Recurrent Sedentism…,
  
}
@misc{Mabry 2008,
  
}
@misc{UWyo2021,
  
}
@misc{Vint 2015,
  
}
@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":"Bontiager and Stone 1989","bibtex_type":"misc"}{"bibtex_key":"Whittlesey Hesse and Foster 2010 Recurrent Sedentism…","bibtex_type":"misc"}{"bibtex_key":"Mabry 2008","bibtex_type":"misc"}{"bibtex_key":"UWyo2021","bibtex_type":"misc"}{"bibtex_key":"Vint 2015","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: Bontiager and Stone 1989
:bibtex_type: :misc
---
:bibtex_key: Whittlesey Hesse and Foster 2010 Recurrent Sedentism…
:bibtex_type: :misc
---
:bibtex_key: Mabry 2008
:bibtex_type: :misc
---
:bibtex_key: UWyo2021
:bibtex_type: :misc
---
:bibtex_key: Vint 2015
: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