Site type

Location

Coordinates (degrees)
055.908° N, 003.045° W
Coordinates (DMS)
055° 54' 00" W, 003° 02' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (30)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OxA-10160 NA bone NA NA 1581±36 BP 1531–1390 cal BP Bevan 2017 Bird et al. 2022
OxA-10161 NA bone NA NA 1578±34 BP 1530–1390 cal BP Bevan 2017 Bird et al. 2022
OxA-8152 NA bone NA NA 1705±45 BP 1709–1520 cal BP Bevan 2017 Bird et al. 2022
OxA-8153 NA bone NA NA 1600±40 BP 1542–1390 cal BP Bevan 2017 Bird et al. 2022
OxA-8154 NA bone NA NA 1590±40 BP 1535–1389 cal BP Bevan 2017 Bird et al. 2022
OxA-8155 NA bone NA NA 1255±40 BP 1281–1073 cal BP Bevan 2017 Bird et al. 2022
OxA-8186 NA bone NA NA 1595±35 BP 1535–1400 cal BP Bevan 2017 Bird et al. 2022
OxA-8187 NA bone NA NA 1410±35 BP 1357–1285 cal BP Bevan 2017 Bird et al. 2022
OxA-8188 NA bone NA NA 1460±40 BP 1395–1298 cal BP Bevan 2017 Bird et al. 2022
OxA-8189 NA bone NA NA 1430±40 BP 1379–1290 cal BP Bevan 2017 Bird et al. 2022
OxA-8190 NA bone NA NA 1480±35 BP 1403–1305 cal BP Bevan 2017 Bird et al. 2022
OxA-8191 NA tooth NA NA 1395±35 BP 1355–1194 cal BP Bevan 2017 Bird et al. 2022
OxA-8192 NA bone NA NA 1610±35 BP 1541–1405 cal BP Bevan 2017 Bird et al. 2022
OxA-8193 NA bone NA NA 1600±40 BP 1542–1390 cal BP Bevan 2017 Bird et al. 2022
OxA-8194 NA bone NA NA 1485±35 BP 1406–1305 cal BP Bevan 2017 Bird et al. 2022
OxA-8653 NA bone NA NA 1525±30 BP 1515–1345 cal BP Bevan 2017 Bird et al. 2022
OxA-8654 NA bone NA NA 1550±35 BP 1520–1361 cal BP Bevan 2017 Bird et al. 2022
OxA-8655 NA bone NA NA 1560±30 BP 1521–1380 cal BP Kiel DB 4244 Bird et al. 2022
OxA-8664 NA bone NA NA 1560±35 BP 1525–1375 cal BP Bevan 2017 Bird et al. 2022
OxA-8665 NA bone NA NA 1490±40 BP 1509–1300 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. [Larsson 2019]
  • No bibliographic information available. [Brami 2011]
  • No bibliographic information available. [Oross 2012]
  • No bibliographic information available. [Kiel DB 4244]
  • 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. [Gowlett et al. 1987 Garrard and Gebel (eds.) 1988 Byrd and Garrard 1990 Schyle 1996]
  • No bibliographic information available. [Whittle et al. 2002: 116 Boric 2011: 193]
  • 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{Larsson 2019,
  
}
@misc{Brami 2011,
  
}
@misc{Oross 2012,
  
}
@misc{Kiel DB 4244,
  
}
@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{Gowlett et al. 1987 Garrard and Gebel (eds.) 1988 Byrd and Garrard 1990 Schyle 1996,
  
}
@misc{Whittle et al. 2002: 116 Boric 2011: 193,
  
}
@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":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Brami 2011","bibtex_type":"misc"}{"bibtex_key":"Oross 2012","bibtex_type":"misc"}{"bibtex_key":"Kiel DB 4244","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":"Gowlett et al. 1987 Garrard and Gebel (eds.) 1988 Byrd and Garrard 1990 Schyle 1996","bibtex_type":"misc"}{"bibtex_key":"Whittle et al. 2002: 116 Boric 2011: 193","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}"}]
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: Brami 2011
:bibtex_type: :misc
---
:bibtex_key: Oross 2012
:bibtex_type: :misc
---
:bibtex_key: Kiel DB 4244
: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: Gowlett et al. 1987 Garrard and Gebel (eds.) 1988 Byrd and Garrard 1990
  Schyle 1996
:bibtex_type: :misc
---
:bibtex_key: 'Whittle et al. 2002: 116 Boric 2011: 193'
: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