Site type

Location

Coordinates (degrees)
036.762° N, 003.845° W
Coordinates (DMS)
036° 45' 00" W, 003° 50' 00" N
Country (ISO 3166)
Spain (ES)

radiocarbon date Radiocarbon dates (5)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-313434 charcoal NA NA 11970±50 BP Morales 2013 Bird et al. 2022
GifA-98191 charcoal NA NA 19900±210 BP Gonzalez J. . 2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001. Bird et al. 2022
UBAR-97 charcoal NA NA 11850±190 BP Journal of World Prehistory 12 1998: 121-198 Bird et al. 2022
UGRA-147 charcoal NA NA 12060±150 BP Didac Roman Monroig 2017. Pyrenae 48: 7-44 Bird et al. 2022
UGRA-98 charcoal NA NA 12270±220 BP Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria. JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.. Straus L.G. 2018 Radiocarbon 60-1015 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Morales 2013,
  
}
@misc{Gonzalez J. .  2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001.,
  
}
@misc{Journal of World Prehistory 12 1998: 121-198,
  
}
@misc{Didac Roman Monroig 2017. Pyrenae  48: 7-44,
  
}
@misc{Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria. JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.. Straus L.G. 2018  Radiocarbon  60-1015,
  
}
@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":"Morales 2013","bibtex_type":"misc"}{"bibtex_key":"Gonzalez J. .  2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001.","bibtex_type":"misc"}{"bibtex_key":"Journal of World Prehistory 12 1998: 121-198","bibtex_type":"misc"}{"bibtex_key":"Didac Roman Monroig 2017. Pyrenae  48: 7-44","bibtex_type":"misc"}{"bibtex_key":"Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria. JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.. Straus L.G. 2018  Radiocarbon  60-1015","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: Morales 2013
:bibtex_type: :misc
---
:bibtex_key: 'Gonzalez J. .  2007. L''Anthropologie doi: 10.1016/j.anthro.2007.07.001.'
:bibtex_type: :misc
---
:bibtex_key: 'Journal of World Prehistory 12 1998: 121-198'
:bibtex_type: :misc
---
:bibtex_key: 'Didac Roman Monroig 2017. Pyrenae  48: 7-44'
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G. 2002. Last Glacial Human Settlement in Eastern Cantabria.
  JAS 29: 1403-1414. Straus L.G. 2007. Radiocarbon 49: 1205-1214.. Straus L.G. 2018  Radiocarbon  60-1015'
: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