Site type

Location

Coordinates (degrees)
053.161° N, 006.730° W
Coordinates (DMS)
053° 09' 00" W, 006° 43' 00" N
Country (ISO 3166)
Ireland (IE)

radiocarbon date Radiocarbon dates (32)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrA-21213 NA grain (charred) NA NA 4840±45 BP 5655–5472 cal BP van der Plicht 2009 Bird et al. 2022
GrN-24212 NA grain NA NA 4885±45 BP 5727–5482 cal BP Bevan 2017 Bird et al. 2022
UBA-14687 NA grain (charred) NA NA 4893±34 BP 5713–5581 cal BP Bevan 2017 Bird et al. 2022
UBA-14688 NA plant matter NA NA 4955±31 BP 5732–5600 cal BP Bevan 2017 Bird et al. 2022
UBA-14689 NA plant matter NA NA 4923±29 BP 5715–5591 cal BP Bevan 2017 Bird et al. 2022
UBA-14690 NA grain (charred) NA NA 4968±30 BP 5745–5600 cal BP Bevan 2017 Bird et al. 2022
UBA-14691 NA plant matter NA NA 4936±36 BP 5725–5594 cal BP Bevan 2017 Bird et al. 2022
UBA-14692 NA plant matter NA NA 4919±31 BP 5717–5590 cal BP Bevan 2017 Bird et al. 2022
UBA-14693 NA plant matter NA NA 4912±30 BP 5714–5587 cal BP Bevan 2017 Bird et al. 2022
UBA-14694 NA plant matter NA NA 4896±35 BP 5714–5582 cal BP Bevan 2017 Bird et al. 2022
UBA-14695 NA plant matter NA NA 4953±32 BP 5730–5599 cal BP Bevan 2017 Bird et al. 2022
UBA-14696 NA plant matter NA NA 4950±29 BP 5725–5600 cal BP Bevan 2017 Bird et al. 2022
UBA-14697 NA plant matter NA NA 4965±31 BP 5743–5600 cal BP Bevan 2017 Bird et al. 2022
UBA-14698 NA plant matter NA NA 4949±29 BP 5725–5599 cal BP Bevan 2017 Bird et al. 2022
UBA-14699 NA plant matter NA NA 4925±29 BP 5715–5592 cal BP Bevan 2017 Bird et al. 2022
UBA-14700 NA grain (charred) NA NA 4658±28 BP 5465–5316 cal BP Bevan 2017 Bird et al. 2022
UBA-14701 NA grain (charred) NA NA 4864±29 BP 5654–5486 cal BP Bevan 2017 Bird et al. 2022
UBA-14702 NA grain (charred) NA NA 4914±30 BP 5714–5588 cal BP Bevan 2017 Bird et al. 2022
UBA-14703 NA grain (charred) NA NA 4934±28 BP 5718–5595 cal BP Bevan 2017 Bird et al. 2022
UBA-14704 NA grain (charred) NA NA 4971±30 BP 5745–5601 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. [van der Plicht 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]
  • 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{van der Plicht 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}
}
@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: van der Plicht 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: 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