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)
053.212° N, 004.109° W
Coordinates (DMS)
053° 12' 00" W, 004° 06' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (85)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
NZA-26680 charcoal NA NA 4567±30 BP 5439–5054 cal BP Bevan 2017 Bird et al. 2022
NZA-26681 charcoal NA NA 3976±30 BP 4523–4359 cal BP Bevan 2017 Bird et al. 2022
NZA-26682 grain (charred) NA NA 3474±30 BP 3831–3646 cal BP Bevan 2017 Bird et al. 2022
NZA-26687 charcoal NA NA 4467±30 BP 5286–4975 cal BP Bevan 2017 Bird et al. 2022
NZA-26688 charcoal NA NA 4517±30 BP 5306–5050 cal BP Bevan 2017 Bird et al. 2022
NZA-26690 charcoal NA NA 3552±30 BP 3959–3722 cal BP Bevan 2017 Bird et al. 2022
NZA-26691 charcoal NA NA 4178±30 BP 4834–4585 cal BP Bevan 2017 Bird et al. 2022
NZA-26692 charcoal NA NA 4139±30 BP 4823–4534 cal BP Bevan 2017 Bird et al. 2022
NZA-26693 charcoal NA NA 4201±30 BP 4843–4623 cal BP Bevan 2017 Bird et al. 2022
NZA-26694 charcoal NA NA 4192±30 BP 4839–4620 cal BP Bevan 2017 Bird et al. 2022
NZA-26762 charcoal NA NA 3132±35 BP 3446–3247 cal BP Bevan 2017 Bird et al. 2022
NZA-26763 charcoal NA NA 1980±35 BP 1992–1829 cal BP Bevan 2017 Bird et al. 2022
NZA-26764 charcoal NA NA 3087±35 BP 3375–3212 cal BP Bevan 2017 Bird et al. 2022
NZA-26765 charcoal NA NA 3270±35 BP 3569–3400 cal BP Bevan 2017 Bird et al. 2022
NZA-26766 charcoal NA NA 3716±40 BP 4221–3928 cal BP Bevan 2017 Bird et al. 2022
NZA-26767 charcoal NA NA 3575±40 BP 3980–3723 cal BP Bevan 2017 Bird et al. 2022
NZA-26768 charcoal NA NA 2998±35 BP 3332–3070 cal BP Bevan 2017 Bird et al. 2022
NZA-26769 charcoal NA NA 3064±35 BP 3364–3175 cal BP Bevan 2017 Bird et al. 2022
NZA-26770 charcoal NA NA 3899±35 BP 4419–4236 cal BP Bevan 2017 Bird et al. 2022
NZA-26771 charcoal NA NA 3886±40 BP 4417–4158 cal BP Bevan 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • Bevan, A. H. (2017). 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 [Data set]. UCL Institute of Archaeology. https://doi.org/10.14324/000.ds.10025178 [Bevan2017]
  • No bibliographic information available. [Pearce 2013]
  • No bibliographic information available. [Godfrey unpub. cit. Godfrey et al. 1996]
  • No bibliographic information available. [Harrison 2009]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]
@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{Pearce 2013,
  
}
@misc{Godfrey unpub. cit. Godfrey et al. 1996,
  
}
@misc{Harrison 2009,
  
}
@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}
}
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---
- :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: Pearce 2013
:bibtex_type: :misc
---
:bibtex_key: Godfrey unpub. cit. Godfrey et al. 1996
:bibtex_type: :misc
---
:bibtex_key: Harrison 2009
: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