Site type

Location

Coordinates (degrees)
055.968° N, 002.947° W
Coordinates (DMS)
055° 58' 00" W, 002° 56' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (36)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-25715 NA grain (charred) NA NA 1960±45 BP 1993–1747 cal BP Bevan 2017 Bird et al. 2022
AA-25716 NA grain (charred) NA NA 1920±45 BP 1942–1720 cal BP Bevan 2017 Bird et al. 2022
AA-25717 NA grain (charred) NA NA 1950±45 BP 1990–1743 cal BP Bevan 2017 Bird et al. 2022
AA-25718 NA grain (charred) NA NA 1810±45 BP 1827–1598 cal BP Bevan 2017 Bird et al. 2022
AA-25719 NA grain (charredglume bases) NA NA 1905±45 BP 1925–1718 cal BP Bevan 2017 Bird et al. 2022
AA-25720 NA grain (charredglume bases) NA NA 1840±45 BP 1868–1620 cal BP Bevan 2017 Bird et al. 2022
AA-25721 NA charcoal NA NA 2015±45 BP 2098–1829 cal BP Bevan 2017 Bird et al. 2022
AA-25723 NA grain (charred) NA NA 1825±50 BP 1868–1598 cal BP Bevan 2017 Bird et al. 2022
AA-25725 NA grain (charred) NA NA 1215±45 BP 1274–1001 cal BP Bevan 2017 Bird et al. 2022
AA-25726 NA grain (charred) NA NA 1785±55 BP 1820–1546 cal BP Bevan 2017 Bird et al. 2022
AA-25727 NA grain (charred) NA NA 1610±45 BP 1586–1382 cal BP Bevan 2017 Bird et al. 2022
AA-25728 NA grain (charred) NA NA 1985±45 BP 2044–1749 cal BP Bevan 2017 Bird et al. 2022
AA-25729 NA grain (charred) NA NA 1875±60 BP 1935–1622 cal BP Bevan 2017 Bird et al. 2022
AA-25732 NA grain (charred) NA NA 265±50 BP 471–145 cal BP Bevan 2017 Bird et al. 2022
AA-25733 NA grain (charred) NA NA 1960±45 BP 1993–1747 cal BP Bevan 2017 Bird et al. 2022
AA-25734 NA charcoal NA NA 1895±45 BP 1925–1711 cal BP Bevan 2017 Bird et al. 2022
AA-25736 NA grain (charred) NA NA 2000±55 BP 2103–1752 cal BP Bevan 2017 Bird et al. 2022
AA-25737 NA grain (charred) NA NA 1880±45 BP 1922–1704 cal BP Bevan 2017 Bird et al. 2022
AA-25738 NA grain (charred) NA NA 1870±45 BP 1888–1637 cal BP Bevan 2017 Bird et al. 2022
AA-30363 NA seeds (charred) NA NA 2410±45 BP 2700–2345 cal BP Bevan 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@dataset{Bevan2017,
  title = {Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller, D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human Population Demonstrate Repeated Links to Food Production and Climate},
  author = {Bevan, A. H.},
  date = {2017-10-20},
  publisher = {UCL Institute of Archaeology},
  location = {London, UK},
  doi = {10.14324/000.ds.10025178},
  url = {https://discovery.ucl.ac.uk/id/eprint/10025178/},
  urldate = {2023-09-07},
  langid = {english}
}
@misc{Cattelain P. e. a. 2015. Paleo 26: 17-32.,
  
}
@misc{: ValentinB. and PigeotN.ElÔøΩments pour une chronologie des occupations magdalÔøΩniennes dans le Bassin parisienIn : European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptations p129-138,
  
}
@misc{Roque C.  2001. QSR 20: 935-938. Cattelain P. e. a. 2015. Paleo 26: 17-32.,
  
}
@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":"Bevan2017","bibtex_type":"dataset","title":"{Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller, D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human Population Demonstrate Repeated Links to Food Production and Climate}","author":"{Bevan, A. H.}","date":"{2017-10-20}","publisher":"{UCL Institute of Archaeology}","location":"{London, UK}","doi":"{10.14324/000.ds.10025178}","url":"{https://discovery.ucl.ac.uk/id/eprint/10025178/}","urldate":"{2023-09-07}","langid":"{english}"}]{"bibtex_key":"Cattelain P. e. a. 2015. Paleo 26: 17-32.","bibtex_type":"misc"}{"bibtex_key":": ValentinB. and PigeotN.ElÔøΩments pour une chronologie des occupations magdalÔøΩniennes dans le Bassin parisienIn : European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptations p129-138","bibtex_type":"misc"}{"bibtex_key":"Roque C.  2001. QSR 20: 935-938. Cattelain P. e. a. 2015. Paleo 26: 17-32.","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: Bevan2017
  :bibtex_type: :dataset
  :title: "{Radiocarbon Dataset and Analysis from Bevan, A., Colledge, S., Fuller,
    D., Fyfe, R., Shennan, S. and C. Stevens 2017. Holocene Fluctuations in Human
    Population Demonstrate Repeated Links to Food Production and Climate}"
  :author: "{Bevan, A. H.}"
  :date: "{2017-10-20}"
  :publisher: "{UCL Institute of Archaeology}"
  :location: "{London, UK}"
  :doi: "{10.14324/000.ds.10025178}"
  :url: "{https://discovery.ucl.ac.uk/id/eprint/10025178/}"
  :urldate: "{2023-09-07}"
  :langid: "{english}"
---
:bibtex_key: 'Cattelain P. e. a. 2015. Paleo 26: 17-32.'
:bibtex_type: :misc
---
:bibtex_key: ": ValentinB. and PigeotN.ElÔøΩments pour une chronologie des occupations
  magdalÔøΩniennes dans le Bassin parisienIn : European late pleistocene isotope stages
  2 and 3: humans their ecology & cultural adaptations p129-138"
:bibtex_type: :misc
---
:bibtex_key: 'Roque C.  2001. QSR 20: 935-938. Cattelain P. e. a. 2015. Paleo 26:
  17-32.'
: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