Site type

Location

Coordinates (degrees)
051.495° N, 000.669° W
Coordinates (DMS)
051° 29' 00" W, 000° 40' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (41)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BM-3020 NA wood (waterlogged) NA NA 3050±40 BP 3361–3165 cal BP Bevan 2017 Bird et al. 2022
BM-3021 NA wood (waterlogged) NA NA 2420±50 BP 2703–2347 cal BP Bevan 2017 Bird et al. 2022
BM-3022 NA wood (waterlogged) NA NA 3150±50 BP 3458–3235 cal BP Bevan 2017 Bird et al. 2022
BM-3023 NA wood (waterlogged) NA NA 2450±50 BP 2707–2358 cal BP Schopper 264 Abb. 1 Bird et al. 2022
BM-3081 NA wood (waterlogged) NA NA 2640±60 BP 2878–2499 cal BP Bevan 2017 Bird et al. 2022
BM-3100 NA wood (waterloggedsapwood) NA NA 2430±40 BP 2700–2352 cal BP Bevan 2017 Bird et al. 2022
BM-3101 NA wood (waterloggedsapwood) NA NA 2400±40 BP 2697–2342 cal BP Bevan 2017 Bird et al. 2022
BM-3102 NA wood (waterloggedsapwood) NA NA 2380±40 BP 2685–2337 cal BP Bevan 2017 Bird et al. 2022
BM-3103 NA wood (waterloggedsapwood) NA NA 2260±40 BP 2346–2152 cal BP Bevan 2017 Bird et al. 2022
BM-3104 NA wood (waterloggedsapwood) NA NA 2350±35 BP 2490–2320 cal BP Bevan 2017 Bird et al. 2022
BM-3110 NA wood (waterlogged) NA NA 2170±40 BP 2311–2007 cal BP Bevan 2017 Bird et al. 2022
BM-3111 NA wood (waterloggedsapwood) NA NA 3010±45 BP 3345–3070 cal BP Bevan 2017 Bird et al. 2022
BM-3112 NA wood (waterloggedroundwood) NA NA 2380±40 BP 2685–2337 cal BP Bevan 2017 Bird et al. 2022
BM-3124 NA wood (waterloggedsapwood) NA NA 2400±60 BP 2705–2337 cal BP Bevan 2017 Bird et al. 2022
BM-3125 NA wood (waterloggedsapwood) NA NA 4090±50 BP 4820–4439 cal BP Bevan 2017 Bird et al. 2022
BM-3137 NA bone NA NA 1485±40 BP 1506–1299 cal BP Bevan 2017 Bird et al. 2022
BM-3138 NA bone NA NA 2900±50 BP 3201–2879 cal BP Bevan 2017 Bird et al. 2022
BM-3159 NA wood (waterlogged) NA NA 1670±45 BP 1698–1412 cal BP Bevan 2017 Bird et al. 2022
BM-3171 NA wood (waterloggedsapwood) NA NA 2280±45 BP 2355–2151 cal BP Bevan 2017 Bird et al. 2022
BM-3172 NA wood (waterloggedroundwood) NA NA 2060±45 BP 2142–1887 cal BP Bevan 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Bronk Ramsey 2009]
  • 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. [Schopper 264 Abb. 1]
  • No bibliographic information available. [Whittle et al. 2011 400]
  • No bibliographic information available. [Barnes et al. 2002]
  • No bibliographic information available. [Cessford 2005: 85 Bronk Ramsey et al. 2009: 337]
  • No bibliographic information available. [Moore et al. 1986 Gowlett and Hedges 1987 Goring-Morris 1991 Housley 1994]
  • 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] 
@misc{Bronk Ramsey 2009,
  
}
@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{Schopper 264 Abb. 1,
  
}
@misc{Whittle et al. 2011 400,
  
}
@misc{Barnes et al. 2002,
  
}
@misc{Cessford 2005: 85 Bronk Ramsey et al. 2009: 337,
  
}
@misc{Moore et al. 1986 Gowlett and Hedges 1987 Goring-Morris 1991 Housley 1994,
  
}
@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: Bronk Ramsey 2009
:bibtex_type: :misc
---
- :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: Schopper 264 Abb. 1
:bibtex_type: :misc
---
:bibtex_key: Whittle et al. 2011 400
:bibtex_type: :misc
---
:bibtex_key: Barnes et al. 2002
:bibtex_type: :misc
---
:bibtex_key: 'Cessford 2005: 85 Bronk Ramsey et al. 2009: 337'
:bibtex_type: :misc
---
:bibtex_key: Moore et al. 1986 Gowlett and Hedges 1987 Goring-Morris 1991 Housley
  1994
: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