Site types
Medieval burial and

Location

Coordinates (degrees)
054.496° N, 008.168° W
Coordinates (DMS)
054° 29' 00" W, 008° 10' 00" N
Country (ISO 3166)
Ireland (IE)

radiocarbon date Radiocarbon dates (144)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UBA-14975 bone NA NA 776±17 BP 724–673 cal BP Bevan 2017 Bird et al. 2022
UBA-14976 bone NA NA 429±21 BP 515–473 cal BP Bevan 2017 Bird et al. 2022
UBA-14977 bone NA NA 654±17 BP 660–561 cal BP Bevan 2017 Bird et al. 2022
UBA-14978 bone NA NA 466±19 BP 526–500 cal BP Bevan 2017 Bird et al. 2022
UBA-14979 bone NA NA 411±30 BP 517–329 cal BP Bevan 2017 Bird et al. 2022
UBA-14980 bone NA NA 812±24 BP 738–677 cal BP Bevan 2017 Bird et al. 2022
UBA-14981 bone NA NA 322±22 BP 455–310 cal BP Bevan 2017 Bird et al. 2022
UBA-14982 bone NA NA 844±23 BP 785–689 cal BP Bevan 2017 Bird et al. 2022
UBA-14983 bone NA NA 397±23 BP 506–331 cal BP Bevan 2017 Bird et al. 2022
UBA-14984 bone NA NA 849±22 BP 788–690 cal BP Bevan 2017 Bird et al. 2022
UBA-14985 bone NA NA 656±34 BP 671–555 cal BP Bevan 2017 Bird et al. 2022
UBA-14986 bone NA NA 297±21 BP 435–300 cal BP Bevan 2017 Bird et al. 2022
UBA-14987 bone NA NA 683±23 BP 674–565 cal BP Bevan 2017 Bird et al. 2022
UBA-14988 bone NA NA 438±24 BP 522–475 cal BP Bevan 2017 Bird et al. 2022
UBA-14989 bone NA NA 643±19 BP 655–558 cal BP Bevan 2017 Bird et al. 2022
UBA-14990 bone NA NA 283±27 BP 435–159 cal BP Bevan 2017 Bird et al. 2022
UBA-14991 bone NA NA 707±35 BP 689–561 cal BP Bevan 2017 Bird et al. 2022
UBA-14992 bone NA NA 480±29 BP 540–499 cal BP Bevan 2017 Bird et al. 2022
UBA-14993 bone NA NA 681±20 BP 672–566 cal BP Bevan 2017 Bird et al. 2022
UBA-14994 bone NA NA 341±17 BP 470–316 cal BP Bevan 2017 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Conran, Danaher & Stanley 2011, 152; McKenzie et al. 2015, 168,
  
}
@misc{Conran, Danaher & Stanley 2011, 152; McKenzie et al. 2015, 169,
  
}
@misc{Conran, Danaher & Stanley 2011, 153; McKenzie et al. 2015, 169,
  
}
@misc{Conran, Danaher & Stanley 2011, 153; McKenzie et al. 2015, 170,
  
}
@misc{Conran, Danaher & Stanley 2011, 154; McKenzie et al. 2015, 170,
  
}
@misc{Conran, Danaher & Stanley 2011, 154; McKenzie et al. 2015, 171,
  
}
@misc{Conran, Danaher & Stanley 2011, 155; McKenzie et al. 2015, 171,
  
}
@misc{Conran, Danaher & Stanley 2011, 155; McKenzie et al. 2015, 172,
  
}
@misc{Conran, Danaher & Stanley 2011, 156; McKenzie et al. 2015, 172,
  
}
@misc{Conran, Danaher & Stanley 2011, 156; McKenzie et al. 2015, 173,
  
}
@misc{Conran, Danaher & Stanley 2011, 157; McKenzie et al. 2015, 173,
  
}
@misc{Conran, Danaher & Stanley 2011, 157; McKenzie et al. 2015, 174,
  
}
@misc{Conran, Danaher & Stanley 2011, 158; McKenzie et al. 2015, 174,
  
}
@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}
}
@dataset{IRDD,
  title = {Catalogue of Radiocarbon Determinations & Dendrochronology Dates (August 2019 Release)},
  author = {Chapple, Robert M},
  date = {2019},
  publisher = {Oculus Obscura Press},
  location = {Belfast},
  url = {https://sites.google.com/site/chapplearchaeology/irish-radiocarbon-dendrochronological-dates}
}
@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":"Conran, Danaher & Stanley 2011, 152; McKenzie et al. 2015, 168","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 152; McKenzie et al. 2015, 169","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 153; McKenzie et al. 2015, 169","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 153; McKenzie et al. 2015, 170","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 154; McKenzie et al. 2015, 170","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 154; McKenzie et al. 2015, 171","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 155; McKenzie et al. 2015, 171","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 155; McKenzie et al. 2015, 172","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 156; McKenzie et al. 2015, 172","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 156; McKenzie et al. 2015, 173","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 157; McKenzie et al. 2015, 173","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 157; McKenzie et al. 2015, 174","bibtex_type":"misc"}{"bibtex_key":"Conran, Danaher & Stanley 2011, 158; McKenzie et al. 2015, 174","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":"IRDD","bibtex_type":"dataset","title":"{Catalogue of Radiocarbon Determinations & Dendrochronology Dates (August 2019 Release)}","author":"{Chapple, Robert M}","date":"{2019}","publisher":"{Oculus Obscura Press}","location":"{Belfast}","url":"{https://sites.google.com/site/chapplearchaeology/irish-radiocarbon-dendrochronological-dates}"}][{"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: Conran, Danaher & Stanley 2011, 152; McKenzie et al. 2015, 168
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 152; McKenzie et al. 2015, 169
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 153; McKenzie et al. 2015, 169
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 153; McKenzie et al. 2015, 170
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 154; McKenzie et al. 2015, 170
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 154; McKenzie et al. 2015, 171
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 155; McKenzie et al. 2015, 171
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 155; McKenzie et al. 2015, 172
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 156; McKenzie et al. 2015, 172
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 156; McKenzie et al. 2015, 173
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 157; McKenzie et al. 2015, 173
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 157; McKenzie et al. 2015, 174
:bibtex_type: :misc
---
:bibtex_key: Conran, Danaher & Stanley 2011, 158; McKenzie et al. 2015, 174
: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: IRDD
  :bibtex_type: :dataset
  :title: "{Catalogue of Radiocarbon Determinations & Dendrochronology Dates (August
    2019 Release)}"
  :author: "{Chapple, Robert M}"
  :date: "{2019}"
  :publisher: "{Oculus Obscura Press}"
  :location: "{Belfast}"
  :url: "{https://sites.google.com/site/chapplearchaeology/irish-radiocarbon-dendrochronological-dates}"
---
- :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

Country code:
NA → IE