Site type

Location

Coordinates (degrees)
036.922° N, 077.262° W
Coordinates (DMS)
036° 55' 00" W, 077° 15' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (25)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-15023 NA CHARCOAL NA AMS 9155±80 BP 10550–10194 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
AA-15024 NA CHARCOAL NA AMS 5285±50 BP 6194–5934 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
AA-15025 NA CHARCOAL NA AMS 6580±55 BP 7573–7367 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
AA-15026 NA CHARCOAL NA AMS 6905±55 BP 7915–7619 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
AA-15027 NA CHARCOAL Quercus AMS 8920±65 BP 10226–9780 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-109609 NA CHARCOAL southern hard pine NA 1450±40 BP 1390–1294 cal BP Virginia Department of Historic Resources Bird et al. 2022
Beta-109610 NA CHARCOAL southern hard pine NA 1550±40 BP 1524–1355 cal BP Virginia Department of Historic Resources Bird et al. 2022
Beta-206060 NA CHARCOAL NA NA 10840±40 BP 12825–12735 cal BP McAvoy and McAvoy 2015-Nottoway River Survey Part-II Bird et al. 2022
Beta-210651 NA CHARCOAL NA NA 10910±40 BP 12894–12751 cal BP McAvoy and McAvoy 2015-Nottoway River Survey Part-II Bird et al. 2022
Beta-233642 NA CHARCOAL NA NA 10810±40 BP 12822–12722 cal BP McAvoy and McAvoy 2015-Nottoway River Survey Part-II Bird et al. 2022
Beta-233643 NA CHARCOAL NA NA 10890±40 BP 12884–12746 cal BP McAvoy and McAvoy 2015-Nottoway River Survey Part-II Bird et al. 2022
Beta-266341 NA CHARCOAL NA NA 10860±60 BP 12894–12727 cal BP McAvoy and McAvoy 2015-Nottoway River Survey Part-II Bird et al. 2022
Beta-80181 NA CHARCOAL hard pine oak & hickory RADIOMETRIC 9790±200 BP 11875–10580 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-80182 NA CHARCOAL mixed woods RADIOMETRIC 9240±190 BP 11092–9905 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-80183 NA SEEDS hickory nutshell charred RADIOMETRIC 4980±170 BP 6176–5322 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-80184 NA SEEDS hickory nutshell charred RADIOMETRIC 4850±70 BP 5736–5330 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-80444 NA CHARCOAL Quercus alba RADIOMETRIC 4070±80 BP 4834–4405 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-81589 NA CHARCOAL hard pine RADIOMETRIC 10920±250 BP 13338–12102 cal BP McAvoy et al. 1997; Virginia Department of Historic Resources Bird et al. 2022
Beta-81590 NA charcoal; charbon de bois NA NA 15070±70 BP 18635–18230 cal BP Sherwood et al. 2004 Bird et al. 2022
Beta-81591 NA CHARCOAL oak & conifer AMS 8960±60 BP 10233–9905 cal BP McAvoy et al. 1997; 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{McAvoy et al. 1997; Virginia Department of Historic Resources,
  
}
@misc{Sherwood et al. 2004,
  
}
@misc{McAvoy and McAvoy 2015-Nottoway River Survey Part-II,
  
}
@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":"McAvoy et al. 1997; Virginia Department of Historic Resources","bibtex_type":"misc"}{"bibtex_key":"Sherwood et al. 2004","bibtex_type":"misc"}{"bibtex_key":"McAvoy and McAvoy 2015-Nottoway River Survey Part-II","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: McAvoy et al. 1997; Virginia Department of Historic Resources
:bibtex_type: :misc
---
:bibtex_key: Sherwood et al. 2004
:bibtex_type: :misc
---
:bibtex_key: McAvoy and McAvoy 2015-Nottoway River Survey Part-II
: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