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)
051.368° N, 001.922° W
Coordinates (DMS)
051° 22' 00" W, 001° 55' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BM-2816 wood NA NA 4355±37 BP 5038–4846 cal BP Bevan 2017 Bird et al. 2022
Beta-196834 SEDIMENT NA RADIOMETRIC 5480±70 BP 6435–6016 cal BP WAS Bird et al. 2022
Beta-196835 CHARCOAL NA RADIOMETRIC 1200±60 BP 1273–972 cal BP WAS Bird et al. 2022
Beta-225578 CHARCOAL NA AMS 5590±50 BP 6482–6293 cal BP WAS Bird et al. 2022
Beta-225579 SEDIMENT NA AMS 3350±40 BP 3689–3467 cal BP WAS Bird et al. 2022
Beta-225580 CHARCOAL NA AMS 5540±40 BP 6399–6285 cal BP WAS Bird et al. 2022
Beta-225581 CHARCOAL NA AMS 5570±40 BP 6435–6293 cal BP WAS Bird et al. 2022
Beta-225582 CHARCOAL NA AMS 5480±50 BP 6394–6192 cal BP WAS Bird et al. 2022
Beta-225583 CHARCOAL NA AMS 5620±50 BP 6490–6303 cal BP WAS Bird et al. 2022
Beta-225584 CHARCOAL NA AMS 5780±50 BP 6722–6447 cal BP WAS Bird et al. 2022
Beta-225585 CHARCOAL NA AMS 5430±50 BP 6307–6015 cal BP WAS Bird et al. 2022
Beta-225586 CHARCOAL NA AMS 5540±50 BP 6438–6216 cal BP WAS Bird et al. 2022
Beta-225587 CHARCOAL NA AMS 1220±40 BP 1273–1010 cal BP WAS Bird et al. 2022
Beta-225588 CHARCOAL NA AMS 1430±40 BP 1379–1290 cal BP WAS Bird et al. 2022
Beta-225589 CHARCOAL NA AMS 5590±50 BP 6482–6293 cal BP WAS Bird et al. 2022
ISGS-A1102 POTTERYRESIDUE NA AMS 380±25 BP 501–325 cal BP Hart et al 2012 The Potential of Bulk… Bird et al. 2022
Tx-618 CHARCOAL wood and hickory nuts RADIOMETRIC 780±70 BP 903–560 cal BP Valastro and Davis 1970: 262 Bird et al. 2022
Tx-627 CHARCOAL NA RADIOMETRIC 440±90 BP 635–301 cal BP Valastro and Davis 1970: 262 Bird et al. 2022
Tx-819 CHARCOAL NA RADIOMETRIC 1120±100 BP 1275–797 cal BP Valastro et al. 1972: 475 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. [WAS]
  • No bibliographic information available. [Hart et al 2012 The Potential of Bulk…]
  • No bibliographic information available. [Valastro and Davis 1970: 262]
  • No bibliographic information available. [Valastro et al. 1972: 475]
  • 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{WAS,
  
}
@misc{Hart et al 2012 The Potential of Bulk…,
  
}
@misc{Valastro and Davis 1970: 262,
  
}
@misc{Valastro et al. 1972: 475,
  
}
@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: WAS
:bibtex_type: :misc
---
:bibtex_key: Hart et al 2012 The Potential of Bulk…
:bibtex_type: :misc
---
:bibtex_key: 'Valastro and Davis 1970: 262'
:bibtex_type: :misc
---
:bibtex_key: 'Valastro et al. 1972: 475'
: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