Site type

Location

Coordinates (degrees)
057.245° N, 007.425° W
Coordinates (DMS)
057° 14' 00" W, 007° 25' 00" N
Country (ISO 3166)
United Kingdom (GB)

radiocarbon date Radiocarbon dates (65)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OxA-10274 bone NA NA 1004±32 BP Bevan 2017 Bird et al. 2022
OxA-10275 grain (charred) NA NA 880±32 BP Bevan 2017 Bird et al. 2022
OxA-10276 grain (charred) NA NA 537±34 BP Bevan 2017 Bird et al. 2022
OxA-10277 grain (charred) NA NA 521±32 BP Bevan 2017 Bird et al. 2022
OxA-10278 grain (charred) NA NA 563±33 BP Bevan 2017 Bird et al. 2022
OxA-10279 bone NA NA 863±35 BP Bevan 2017 Bird et al. 2022
OxA-10291 grain (charred) NA NA 580±70 BP Bevan 2017 Bird et al. 2022
OxA-10292 grain (charred) NA NA 590±50 BP Bronk Ramsey C. 2002. Archaeometry 44: 1-149. Bird et al. 2022
OxA-10304 grain (charred) NA NA 660±50 BP Bevan 2017 Bird et al. 2022
OxA-10305 grain (charred) NA NA 705±50 BP Bevan 2017 Bird et al. 2022
OxA-15416 bone NA NA 1530±28 BP Bevan 2017 Bird et al. 2022
OxA-15417 bone NA NA 1481±27 BP Bevan 2017 Bird et al. 2022
OxA-15418 bone NA NA 1493±27 BP Bevan 2017 Bird et al. 2022
OxA-15419 bone NA NA 1547±28 BP Roosevelt 1991 Bird et al. 2022
OxA-15421 bone NA NA 1542±28 BP Walker 2008. PNAS 105: 20631-20636. Walker MJ. 2012. QI 259: 7-21. Bird et al. 2022
OxA-15452 bone NA NA 1606±26 BP Roosevelt 1991 Bird et al. 2022
OxA-9638 bone NA NA 1052±34 BP Bevan 2017 Bird et al. 2022
OxA-9639 bone NA NA 1317±39 BP Bevan 2017 Bird et al. 2022
OxA-9640 bone NA NA 1699±34 BP Bevan 2017 Bird et al. 2022
OxA-10273 bone NA NA 1065±35 BP Bevan 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@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{Bronk Ramsey C.  2002. Archaeometry 44: 1-149.,
  
}
@misc{Roosevelt 1991,
  
}
@misc{Walker  2008. PNAS  105: 20631-20636. Walker MJ.  2012. QI 259: 7-21.,
  
}
@misc{Borrerro L. A. (2003). Taphonomy of the Tres Arroyos 1 rockshelter Tierra de Fuego Chile. Quaternary International 109-110 87-93.,
  
}
@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":"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":"Bronk Ramsey C.  2002. Archaeometry 44: 1-149.","bibtex_type":"misc"}{"bibtex_key":"Roosevelt 1991","bibtex_type":"misc"}{"bibtex_key":"Walker  2008. PNAS  105: 20631-20636. Walker MJ.  2012. QI 259: 7-21.","bibtex_type":"misc"}{"bibtex_key":"Borrerro L. A. (2003). Taphonomy of the Tres Arroyos 1 rockshelter Tierra de Fuego Chile. Quaternary International 109-110 87-93.","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: 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: 'Bronk Ramsey C.  2002. Archaeometry 44: 1-149.'
:bibtex_type: :misc
---
:bibtex_key: Roosevelt 1991
:bibtex_type: :misc
---
:bibtex_key: 'Walker  2008. PNAS  105: 20631-20636. Walker MJ.  2012. QI 259: 7-21.'
:bibtex_type: :misc
---
:bibtex_key: Borrerro L. A. (2003). Taphonomy of the Tres Arroyos 1 rockshelter Tierra
  de Fuego Chile. Quaternary International 109-110 87-93.
: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