Site type

Location

Coordinates (degrees)
037.815° N, 079.447° W
Coordinates (DMS)
037° 48' 00" W, 079° 26' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-142005 NA CHARCOAL NA NA 80±40 BP 268–13 cal BP Virginia Department of Historic Resources Bird et al. 2022
Beta-142006 NA CHARCOAL NA NA 4150±40 BP 4829–4533 cal BP Eddins & Hayes 2000; Virginia Department of Historic Resources Bird et al. 2022
Beta-142007 NA CHARCOAL NA NA 2730±40 BP 2925–2755 cal BP Eddins & Hayes 2000; Virginia Department of Historic Resources Bird et al. 2022
Beta-142008 NA SEEDS hickory nut shell charred NA 10090±40 BP 11819–11402 cal BP Eddins & Hayes 2000; Virginia Department of Historic Resources Bird et al. 2022
Beta-151133 NA CHARCOAL Conifer NA 7690±60 BP 8589–8388 cal BP Eddins & Hayes 2001; Virginia Department of Historic Resources Bird et al. 2022
Beta-151134 NA CHARCOAL walnut NA 3990±40 BP 4571–4299 cal BP Eddins & Hayes 2001; Virginia Department of Historic Resources Bird et al. 2022
Beta-151136 NA CHARCOAL deciduous NA 6440±40 BP 7425–7280 cal BP Eddins & Hayes 2001; Virginia Department of Historic Resources Bird et al. 2022
Beta-231437 NA SEDIMENT NA NA 9360±50 BP 10705–10427 cal BP Fiedel et al. 2008; Virginia Department of Historic Resources Bird et al. 2022
Beta-231438 NA CHARCOAL NA NA 7730±50 BP 8591–8420 cal BP Fiedel et al. 2008; Virginia Department of Historic Resources Bird et al. 2022
Beta-231439 NA SEDIMENT NA NA 9570±60 BP 11150–10711 cal BP Fiedel et al. 2008; Virginia Department of Historic Resources Bird et al. 2022
Beta-231440 NA SEDIMENT NA NA 8450±50 BP 9538–9325 cal BP Fiedel et al. 2008; Virginia Department of Historic Resources Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Virginia Department of Historic Resources,
  
}
@misc{Eddins & Hayes 2000; Virginia Department of Historic Resources,
  
}
@misc{Eddins & Hayes 2001; Virginia Department of Historic Resources,
  
}
@misc{Fiedel et al. 2008; Virginia Department of Historic Resources,
  
}
@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":"Virginia Department of Historic Resources","bibtex_type":"misc"}{"bibtex_key":"Eddins & Hayes 2000; Virginia Department of Historic Resources","bibtex_type":"misc"}{"bibtex_key":"Eddins & Hayes 2001; Virginia Department of Historic Resources","bibtex_type":"misc"}{"bibtex_key":"Fiedel et al. 2008; Virginia Department of Historic Resources","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: Virginia Department of Historic Resources
:bibtex_type: :misc
---
:bibtex_key: Eddins & Hayes 2000; Virginia Department of Historic Resources
:bibtex_type: :misc
---
:bibtex_key: Eddins & Hayes 2001; Virginia Department of Historic Resources
:bibtex_type: :misc
---
:bibtex_key: Fiedel et al. 2008; Virginia Department of Historic Resources
: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