Site type

Location

Coordinates (degrees)
051.284° N, 002.764° W
Coordinates (DMS)
051° 17' 00" W, 002° 45' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Birm-819 bone NA NA 10110±160 BP Richards M. Hedges R. 2000. JAS 27: 1-89. Otte M. 1997. In Fagnart & Thevenin Le Tardiglaciaire en Europe du Nord-ouest: 363. Jacobi R.M.2009. QSR 28: 1895-1913. Bird et al. 2022
Birm-820 bone NA NA 10280±120 BP Richards M. Hedges R. 2000. JAS 27: 1-89. Otte M. 1997. In Fagnart & Thevenin Le Tardiglaciaire en Europe du Nord-ouest: 363. Jacobi R.M.2009. QSR 28: 1895-1913. Bird et al. 2022
Birm-821 bone NA NA 10470±190 BP Vermeersch2019 Bird et al. 2022
OxA-4986 tooth NA NA 11530±120 BP Gowleit et al. 1986 215; Micó 2005 126 Bird et al. 2022
OxA-535 bone NA NA 12210±160 BP Vermeersch2019 Bird et al. 2022
OxA-0535 bone NA NA 12210±160 BP Proc. Of Bristol Uni Spelaeological Soc 1985: 102-15 129-40 141-4 145-52. 1986: 275-85 286-304 305-10 311-30. 1987: 116-28. Richards M. Hedges R. 2000. JAS 27: 1-89. Bird et al. 2022
OxA-18705 bone NA NA 12490±45 BP Vermeersch2019 Bird et al. 2022
OxA-14477 bone NA NA 12540±75 BP Vermeersch2019 Bird et al. 2022
OxA-14438 bone NA NA 12545±55 BP Vermeersch2019 Bird et al. 2022
OxA-14476 bone NA NA 12610±90 BP Richards M. Hedges R. 2000. JAS 27: 1-89. Otte M. 1997. In Fagnart & Thevenin Le Tardiglaciaire en Europe du Nord-ouest: 363. Jacobi R.M.2009. QSR 28: 1895-1913. Bird et al. 2022
OxA-19557 bone NA NA 12620±50 BP Vermeersch2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Richards M. Hedges R. 2000. JAS 27: 1-89. Otte M. 1997. In Fagnart & Thevenin Le Tardiglaciaire en Europe du Nord-ouest: 363. Jacobi R.M.2009. QSR 28: 1895-1913.,
  
}
@misc{Vermeersch2019,
  
}
@misc{Proc. Of Bristol Uni Spelaeological Soc 1985: 102-15 129-40 141-4 145-52. 1986: 275-85 286-304 305-10 311-30. 1987: 116-28. Richards M. Hedges R. 2000. JAS 27: 1-89.,
  
}
@misc{Gowleit et al. 1986 215; Micó 2005 126,
  
}
@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":"Richards M. Hedges R. 2000. JAS 27: 1-89. Otte M. 1997. In Fagnart & Thevenin Le Tardiglaciaire en Europe du Nord-ouest: 363. Jacobi R.M.2009. QSR 28: 1895-1913.","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Proc. Of Bristol Uni Spelaeological Soc 1985: 102-15 129-40 141-4 145-52. 1986: 275-85 286-304 305-10 311-30. 1987: 116-28. Richards M. Hedges R. 2000. JAS 27: 1-89.","bibtex_type":"misc"}{"bibtex_key":"Gowleit et al. 1986 215; Micó 2005 126","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: 'Richards M. Hedges R. 2000. JAS 27: 1-89. Otte M. 1997. In Fagnart &
  Thevenin Le Tardiglaciaire en Europe du Nord-ouest: 363. Jacobi R.M.2009. QSR 28:
  1895-1913.'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Proc. Of Bristol Uni Spelaeological Soc 1985: 102-15 129-40 141-4 145-52.
  1986: 275-85 286-304 305-10 311-30. 1987: 116-28. Richards M. Hedges R. 2000. JAS
  27: 1-89.'
:bibtex_type: :misc
---
:bibtex_key: Gowleit et al. 1986 215; Micó 2005 126
: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