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)
051.754° N, 004.488° W
Coordinates (DMS)
051° 45' 00" W, 004° 29' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrN-4399 calcite NA NA 3000±35 BP 3330–3072 cal BP Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Pettitt P. 1999. Oxford Journal of Archaeology 18: 217-241. Bird et al. 2022
GrN-4400 NA NA 33200±310 BP 39035–37024 cal BP Banadora Bird et al. 2022
OxA-14400 C. crocuta C. from spit 1 1108 NA NA 32140±250 BP 36985–36082 cal BP White M. 2006. World Archaeology 38: 547-575.. HIGHAM T.F.G. 2006a. Radiocarbon 48(2): 179ÔøΩ95. Bird et al. 2022
OxA-14401 C. crocuta C from spit 1 1109 NA NA 43000±2100 BP 49480–42605 cal BP White M. 2006. World Archaeology 38: 547-575.. HIGHAM T.F.G. 2006a. Radiocarbon 48(2): 179ÔøΩ95. Bird et al. 2022
OxA-14402 C. crocuta I3 fril sout 6 1070 NA NA 36000±500 BP 41882–40115 cal BP White M. 2006. World Archaeology 38: 547-575.. HIGHAM T.F.G. 2006a. Radiocarbon 48(2): 179ÔøΩ95. Bird et al. 2022
OxA-14403 C. crocuta P3 NA NA 39700±1700 BP 45585–41227 cal BP Chmielewski W. 1975 Prahistoria Ziem Polskich t.1/Kozlowski S.K. Kozlowski J.K. 1977 Epoka Kamienia Na Ziemiach Polskich. Wojtal P. 2015. QI 359-360: 58-71. Bird et al. 2022
OxA-2509 bone NA NA 24620±320 BP 29605–27960 cal BP Bonsall et al. 2008: 178 Table 1 Bonsall et al. 2015: 37 Table 1 Boric 2011: 193 Bird et al. 2022
Oxa-14473 C. crocuta M1 from spit 5 1049 NA NA 32400±550 BP 38580–35559 cal 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

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Pettitt P. 1999. Oxford Journal of Archaeology 18: 217-241.,
  
}
@misc{Banadora,
  
}
@misc{White M. 2006. World Archaeology 38: 547-575.. HIGHAM T.F.G.  2006a. Radiocarbon 48(2): 179ÔøΩ95.,
  
}
@misc{Chmielewski W. 1975 Prahistoria Ziem Polskich t.1/Kozlowski S.K. Kozlowski J.K. 1977 Epoka Kamienia Na Ziemiach Polskich. Wojtal P.  2015. QI 359-360: 58-71.,
  
}
@misc{Bonsall et al. 2008: 178 Table 1 Bonsall et al. 2015: 37 Table 1 Boric 2011: 193,
  
}
@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.,
  
}
@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":"Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Pettitt P. 1999. Oxford Journal of Archaeology 18: 217-241.","bibtex_type":"misc"}{"bibtex_key":"Banadora","bibtex_type":"misc"}{"bibtex_key":"White M. 2006. World Archaeology 38: 547-575.. HIGHAM T.F.G.  2006a. Radiocarbon 48(2): 179ÔøΩ95.","bibtex_type":"misc"}{"bibtex_key":"Chmielewski W. 1975 Prahistoria Ziem Polskich t.1/Kozlowski S.K. Kozlowski J.K. 1977 Epoka Kamienia Na Ziemiach Polskich. Wojtal P.  2015. QI 359-360: 58-71.","bibtex_type":"misc"}{"bibtex_key":"Bonsall et al. 2008: 178 Table 1 Bonsall et al. 2015: 37 Table 1 Boric 2011: 193","bibtex_type":"misc"}{"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":"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: 'Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Pettitt
  P. 1999. Oxford Journal of Archaeology 18: 217-241.'
:bibtex_type: :misc
---
:bibtex_key: Banadora
:bibtex_type: :misc
---
:bibtex_key: 'White M. 2006. World Archaeology 38: 547-575.. HIGHAM T.F.G.  2006a.
  Radiocarbon 48(2): 179ÔøΩ95.'
:bibtex_type: :misc
---
:bibtex_key: 'Chmielewski W. 1975 Prahistoria Ziem Polskich t.1/Kozlowski S.K. Kozlowski
  J.K. 1977 Epoka Kamienia Na Ziemiach Polskich. Wojtal P.  2015. QI 359-360: 58-71.'
:bibtex_type: :misc
---
:bibtex_key: 'Bonsall et al. 2008: 178 Table 1 Bonsall et al. 2015: 37 Table 1 Boric
  2011: 193'
:bibtex_type: :misc
---
: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: 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