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)
050.708° N, 002.412° W
Coordinates (DMS)
050° 42' 00" W, 002° 24' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (17)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BM-645 antler NA NA 3734±41 BP 4232–3934 cal BP Bevan 2017 Bird et al. 2022
BM-646 antler NA NA 3728±59 BP 4244–3900 cal BP Renfrew 1971: 277 Bird et al. 2022
BM-662 antler NA NA 3637±63 BP 4148–3730 cal BP Bevan 2017 Bird et al. 2022
BM-663 charcoal NA NA 3911±89 BP 4611–4010 cal BP Bevan 2017 Bird et al. 2022
BM-664 charcoal NA NA 3410±131 BP 4061–3370 cal BP Bevan 2017 Bird et al. 2022
BM-665 charcoal NA NA 3645±43 BP 4087–3849 cal BP Bevan 2017 Bird et al. 2022
BM-666 antler NA NA 3941±72 BP 4573–4152 cal BP Bevan 2017 Bird et al. 2022
BM-667 bone NA NA 3988±84 BP 4809–4158 cal BP Bevan 2017 Bird et al. 2022
BM-668 charcoal NA NA 3630±60 BP 4145–3728 cal BP Bevan 2017 Bird et al. 2022
BM-669 charcoal NA NA 3274±51 BP 3620–3383 cal BP Bevan 2017 Bird et al. 2022
BM-788 charcoal NA NA 3506±55 BP 3960–3636 cal BP Bevan 2017 Bird et al. 2022
BM-789 charcoal NA NA 3459±53 BP 3849–3570 cal BP EgyRadDat Bird et al. 2022
BM-790 charcoal NA NA 3619±55 BP 4090–3728 cal BP Bevan 2017 Bird et al. 2022
BM-791 charcoal NA NA 3891±66 BP 4518–4096 cal BP Bevan 2017 Bird et al. 2022
BM-792 charcoal NA NA 4058±71 BP 4824–4409 cal BP Bevan 2017 Bird et al. 2022
BM-793 charcoal NA NA 4048±54 BP 4810–4412 cal BP Bevan 2017 Bird et al. 2022
BM-794 bone NA NA 3956±45 BP 4523–4250 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. [Renfrew 1971: 277]
  • No bibliographic information available. [EgyRadDat]
  • 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{Renfrew 1971: 277,
  
}
@misc{EgyRadDat,
  
}
@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: 'Renfrew 1971: 277'
:bibtex_type: :misc
---
:bibtex_key: EgyRadDat
: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