Site types
Grave (flat) inhumation, grave (mound) cremation, settlement (pit), and

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)
055.991° N, 002.536° W
Coordinates (DMS)
055° 59' 00" W, 002° 32' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (65)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
SUERC-8206 bone NA NA 3465±35 BP 3835–3636 cal BP Bevan 2017 Bird et al. 2022
SUERC-8202 bone NA NA 3485±35 BP 3840–3644 cal BP Bevan 2017 Bird et al. 2022
SUERC-5532 bone NA NA 3440±35 BP 3827–3578 cal BP Bevan 2017 Bird et al. 2022
SUERC-5356 bone NA NA 3435±40 BP 3827–3573 cal BP Bevan 2017 Bird et al. 2022
SUERC-5355 bone NA NA 3440±40 BP 3828–3575 cal BP Bevan 2017 Bird et al. 2022
SUERC-5354 bone NA NA 3385±35 BP 3699–3491 cal BP Bevan 2017 Bird et al. 2022
SUERC-5350 bone NA NA 3335±35 BP 3681–3466 cal BP Bevan 2017 Bird et al. 2022
SUERC-5349 bone NA NA 3405±40 BP 3823–3496 cal BP Bevan 2017 Bird et al. 2022
SUERC-5348 bone NA NA 3490±35 BP 3843–3645 cal BP Bevan 2017 Bird et al. 2022
SUERC-5347 charcoal NA NA 4685±40 BP 5567–5317 cal BP Bevan 2017 Bird et al. 2022
SUERC-5346 charcoal NA NA 3910±35 BP 4421–4240 cal BP Bevan 2017 Bird et al. 2022
SUERC-5345 charcoal NA NA 3890±35 BP 4417–4186 cal BP Bevan 2017 Bird et al. 2022
SUERC-5344 charcoal NA NA 3880±35 BP 4415–4158 cal BP Bevan 2017 Bird et al. 2022
SUERC-5340 charcoal NA NA 4140±35 BP 4824–4532 cal BP Bevan 2017 Bird et al. 2022
SUERC-5339 charcoal NA NA 7050±40 BP 7960–7792 cal BP Bevan 2017 Bird et al. 2022
SUERC-5337 charcoal NA NA 3950±35 BP 4520–4255 cal BP Bevan 2017 Bird et al. 2022
SUERC-5336 charcoal NA NA 4010±35 BP 4570–4413 cal BP Bevan 2017 Bird et al. 2022
SUERC-5334 bone NA NA 3000±35 BP 3330–3072 cal BP Oross et al. 2016 Bird et al. 2022
SUERC-5330 bone NA NA 3460±40 BP 3835–3590 cal BP Oross et al. 2016 Bird et al. 2022
SUERC-5329 bone NA NA 3070±40 BP 3370–3173 cal BP Bevan 2017 Bird et al. 2022

typological date Typological dates (12)

Classification Estimated age References
Early Bronze Age NA Stevens/Fuller 2012; MacGregor 2005, 169f.
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Early Bronze Age NA Stevens/Fuller 2012; MacGregor 2005, 169f.
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA
Late Neolithic/Early Bronze Age NA NA

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Stevens/Fuller 2012; MacGregor 2005, 169f.]
  • No bibliographic information available. [Lemercier et al. 2017, supplement]
  • 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. [Stevens/Fuller 2012; MacGregor 2005 169f.]
  • No bibliographic information available. [Oross et al. 2016]
  • No bibliographic information available. [RADON-B]
  • No bibliographic information available. [Ethierr 2017]
  • No bibliographic information available. [Lemercier et al. 2017 supplement]
  • Kneisel, J., Hinz, M., & Rinne, C. (2014). RADON-B – Radiocarbon Dates Online (Version 2014). Database for European 14C Dates for the Bronze and Early Iron Age [Data set]. https://radon-b.ufg.uni-kiel.de [RADON-B]
  • 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{Stevens/Fuller 2012; MacGregor 2005, 169f.,
  
}
@misc{Lemercier et al. 2017, supplement,
  
}
@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{Stevens/Fuller 2012; MacGregor 2005 169f.,
  
}
@misc{Oross et al. 2016,
  
}
@misc{RADON-B,
  
}
@misc{Ethierr 2017,
  
}
@misc{Lemercier et al. 2017 supplement,
  
}
@dataset{RADON-B,
  title = {RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European 14C Dates for the Bronze and Early Iron Age},
  author = {Kneisel, Jutta and Hinz, Martin and Rinne, Christophe},
  date = {2014},
  url = {https://radon-b.ufg.uni-kiel.de},
  abstract = {The database provides a quick overview of 14C dates from Europe. The time frame was limited to the Bronze and Early Iron Ages and covers the period from 2300 BC to 500 BC. The database can be searched by geographic or chronological factors, but also according to the nature of the sample material, the sites or features. The data and related information were taken from the literature cited in each case, and due to the timing of phases and culture assignment, are subject to change. We therefore assume no responsibility for the accuracy of source data.}
}
@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}
}
{"bibtex_key":"Stevens/Fuller 2012; MacGregor 2005, 169f.","bibtex_type":"misc"}{"bibtex_key":"Lemercier et al. 2017, supplement","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":"Stevens/Fuller 2012; MacGregor 2005 169f.","bibtex_type":"misc"}{"bibtex_key":"Oross et al. 2016","bibtex_type":"misc"}{"bibtex_key":"RADON-B","bibtex_type":"misc"}{"bibtex_key":"Ethierr 2017","bibtex_type":"misc"}{"bibtex_key":"Lemercier et al. 2017 supplement","bibtex_type":"misc"}[{"bibtex_key":"RADON-B","bibtex_type":"dataset","title":"{RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European 14C Dates for the Bronze and Early Iron Age}","author":"{Kneisel, Jutta and Hinz, Martin and Rinne, Christophe}","date":"{2014}","url":"{https://radon-b.ufg.uni-kiel.de}","abstract":"{The database provides a quick overview of 14C dates from Europe. The time frame was limited to the Bronze and Early Iron Ages and covers the period from 2300 BC to 500 BC. The database can be searched by geographic or chronological factors, but also according to the nature of the sample material, the sites or features. The data and related information were taken from the literature cited in each case, and due to the timing of phases and culture assignment, are subject to change. We therefore assume no responsibility for the accuracy of source data.}"}][{"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}"}]
---
:bibtex_key: Stevens/Fuller 2012; MacGregor 2005, 169f.
:bibtex_type: :misc
---
:bibtex_key: Lemercier et al. 2017, supplement
: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: Stevens/Fuller 2012; MacGregor 2005 169f.
:bibtex_type: :misc
---
:bibtex_key: Oross et al. 2016
:bibtex_type: :misc
---
:bibtex_key: RADON-B
:bibtex_type: :misc
---
:bibtex_key: Ethierr 2017
:bibtex_type: :misc
---
:bibtex_key: Lemercier et al. 2017 supplement
:bibtex_type: :misc
---
- :bibtex_key: RADON-B
  :bibtex_type: :dataset
  :title: "{RADON-B – Radiocarbon Dates Online (Version 2014).  Database for European
    14C Dates for the Bronze and Early Iron Age}"
  :author: "{Kneisel, Jutta and Hinz, Martin and Rinne, Christophe}"
  :date: "{2014}"
  :url: "{https://radon-b.ufg.uni-kiel.de}"
  :abstract: "{The database provides a quick overview of 14C dates from Europe. The
    time frame was limited to the Bronze and Early Iron Ages and covers the period
    from 2300 BC to 500 BC. The database can be searched by geographic or chronological
    factors, but also according to the nature of the sample material, the sites or
    features. The data and related information were taken from the literature cited
    in each case, and due to the timing of phases and culture assignment, are subject
    to change. We therefore assume no responsibility for the accuracy of source data.}"
---
- :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