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)
055.588° N, 002.083° W
Coordinates (DMS)
055° 35' 00" W, 002° 04' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (41)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OxA-15545 grain (charred) NA NA 1517±26 BP 1509–1318 cal BP Bevan 2017 Bird et al. 2022
OxA-15546 charcoal NA NA 1531±27 BP 1515–1349 cal BP Bevan 2017 Bird et al. 2022
OxA-15547 charcoal (roundwood) NA NA 2290±29 BP 2353–2177 cal BP Whittle et al. 2011b 531; Bell 2007 Bird et al. 2022
OxA-16067 ceramic residue (charred) NA NA 2693±30 BP 2848–2755 cal BP Bevan 2017 Bird et al. 2022
OxA-16068 nutshell (charred) NA NA 4999±32 BP 5890–5603 cal BP Bevan 2017 Bird et al. 2022
OxA-16069 nutshell (charred) NA NA 4906±34 BP 5715–5586 cal BP Bevan 2017 Bird et al. 2022
OxA-16070 nutshell (charred) NA NA 4152±31 BP 4824–4578 cal BP Boric & Dimitrijevic 2007: Table 1 Boric 2011: 192 Bird et al. 2022
OxA-16096 nutshell (charred) NA NA 4177±33 BP 4835–4582 cal BP Bevan 2017 Bird et al. 2022
OxA-16097 nutshell (charred) NA NA 4933±35 BP 5725–5593 cal BP Bevan 2017 Bird et al. 2022
OxA-16098 ceramic residue (charred) NA NA 4155±33 BP 4826–4578 cal BP Bevan 2017 Bird et al. 2022
OxA-16163 ceramic residue (charred) NA NA 3625±40 BP 4083–3836 cal BP Bevan 2017 Bird et al. 2022
OxA-161631 ceramic residue (charred) NA NA 3625±40 BP 4083–3836 cal BP Bevan 2017 Bird et al. 2022
OxA-16178 ceramic residue (charred) NA NA 4148±32 BP 4825–4575 cal BP Archaeometry 31 2 (1989) 207 - 234 Bird et al. 2022
OxA-X-2178 ceramic residue (charred)/grain (charred) NA NA 2755±55 BP 2964–2755 cal BP Bevan 2017 Bird et al. 2022
OxA-X-2178-142 ceramic residue (charred) NA NA 2785±75 BP 3104–2752 cal BP Bevan 2017 Bird et al. 2022
OxA-X-2178-151 grain NA NA 2755±55 BP 2964–2755 cal BP Nixon 2009 Bird et al. 2022
SUERC-11295 nutshell (charred) NA NA 4130±35 BP 4820–4529 cal BP Bevan 2017 Bird et al. 2022
SUERC-11296 nutshell (charred) NA NA 4250±35 BP 4867–4651 cal BP Bevan 2017 Bird et al. 2022
SUERC-8959 grain (charred) NA NA 1520±35 BP 1515–1312 cal BP Bevan 2017 Bird et al. 2022
SUERC-8960 charcoal NA NA 1545±35 BP 1519–1355 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. [Whittle et al. 2011b 531; Bell 2007]
  • No bibliographic information available. [Boric & Dimitrijevic 2007: Table 1 Boric 2011: 192]
  • No bibliographic information available. [Archaeometry 31 2 (1989) 207 - 234]
  • No bibliographic information available. [Nixon 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{Whittle et al. 2011b 531; Bell 2007,
  
}
@misc{Boric & Dimitrijevic 2007: Table 1 Boric 2011: 192,
  
}
@misc{Archaeometry 31 2 (1989) 207 - 234,
  
}
@misc{Nixon 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: Whittle et al. 2011b 531; Bell 2007
:bibtex_type: :misc
---
:bibtex_key: 'Boric & Dimitrijevic 2007: Table 1 Boric 2011: 192'
:bibtex_type: :misc
---
:bibtex_key: Archaeometry 31 2 (1989) 207 - 234
:bibtex_type: :misc
---
:bibtex_key: Nixon 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