Site types
Cave and

Location

Coordinates (degrees)
043.130° N, 000.880° W
Coordinates (DMS)
043° 07' 00" W, 000° 52' 00" N
Country (ISO 3166)
France (FR)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrN-4363 habitat NA 14C 30080±590 BP “PACEA Geo-Referenced Radiocarbon Database” 2011
GrN-4346 habitat NA 14C 27000±270 BP “PACEA Geo-Referenced Radiocarbon Database” 2011
GrA-30684 charcoal NA NA 18850±100 BP Vermeersch2019 Bird et al. 2022
GrN-4346 charcoal NA NA 27000±270 BP Berry 1982 Bird et al. 2022
GrN-4363 charcoal NA NA 30080±590 BP Derricourt R.M. 1973. Radiocarbon chronology of the Late Stone Age and Iron Age in South Africa.S. Afr. J. Sci69 pp.280-284. Bird et al. 2022
OxA-22553 bone Coelodonta antiquitatis Linty NA NA 33800±550 BP Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Barshay C. 2012. Paleo 23: 2-25. Bird et al. 2022
OxA-22554 NA NA 36300±700 BP Djindjian F. 1999. Le Paleolithique superieur en Europe. Collin. Barshay C. 2012. Paleo 23: 2-25. Bird et al. 2022
OxA-22555 bone Coelodonta antiquitatis Linty NA NA 34400±550 BP Djindjian F. 1999. Le Paleolithique superieur en Europe. Collin. Barshay C. 2012. Paleo 23: 2-25. Bird et al. 2022
OxA-22556 bone Coelodonta antiquitatis Linty NA NA 34250±550 BP BarandiarÔøΩn MaetzuI.le PalÔøΩolithique supÔøΩrieur au pays Basque et dans le bassin de l'Ebre. Zilhao J. 2006. Pyrenae 37:7-84. Higham T. 2014. Nature 512: 306-309. Villaluenga A. 2012. J. of Taphonomy 10: 499-520. Bird et al. 2022
OxA-25716 bone Coelodonta antiquitatis Linty NA NA 47200±2800 BP http://www.stanford.edu/~eready/Ready_Paleo2013.pdf Bird et al. 2022
OxA-25717 bone Coelodonta antiquitatis Linty NA NA 44300±1900 BP http://www.stanford.edu/~eready/Ready_Paleo2013.pdf Bird et al. 2022
OxA-25718 bone Coelodonta antiquitatis Linty NA NA 45600±2400 BP Housley 1994 Bird et al. 2022

typological date Typological dates (4)

Classification Estimated age References
Upper Paleolithic NA NA
Aurignacian NA NA
Upper Paleolithic NA NA
Aurignacian NA NA

Bibliographic reference Bibliographic references

@misc{Vermeersch2019,
  
}
@misc{Berry 1982,
  
}
@misc{Derricourt R.M. 1973. Radiocarbon chronology of the Late Stone Age and Iron Age in South Africa.S. Afr. J. Sci69 pp.280-284.,
  
}
@misc{Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Barshay C.  2012. Paleo 23: 2-25.,
  
}
@misc{Djindjian F.  1999. Le Paleolithique superieur en Europe. Collin. Barshay C.  2012. Paleo 23: 2-25.,
  
}
@misc{BarandiarÔøΩn MaetzuI.le PalÔøΩolithique supÔøΩrieur au pays Basque et dans le bassin de l'Ebre.  Zilhao J. 2006. Pyrenae 37:7-84. Higham T.  2014. Nature 512: 306-309. Villaluenga A.  2012. J. of Taphonomy 10: 499-520.,
  
}
@misc{http://www.stanford.edu/~eready/Ready_Paleo2013.pdf,
  
}
@misc{Housley 1994,
  
}
@article{dErricoEtAl2011,
  title = {PACEA Geo-Referenced Radiocarbon Database},
  author = {},
  date = {2011},
  journaltitle = {PaleoAnthropology},
  volume = {2011},
  pages = {1–12},
  abstract = {Numerous Paleolithic radiocarbon databases exist, but their geographic and temporal scopes are diverse and their availability variable. With this paper we make available to the scientific community a georeferenced database of radiocarbon ages for the late Middle Paleolithic, Upper Paleolithic, and initial Holocene in Europe. The PACEA radiocarbon database consists of conventional and AMS 14C age determinations from archaeological sites in Europe that fall within Marine Isotope Stages (MIS) 3–1. In all, we have assembled 6,019 radiocarbon ages (conventional=3,820, AMS=2,176, unspecified=23) from a total of 1,208 sites, along with comprehensive contextual information on the dated samples.},
  keywords = {⛔ No DOI found},
  file = {/home/joeroe/g/work/library/2011/d’Errico_et_al_2011.pdf}
}
@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":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Berry 1982","bibtex_type":"misc"}{"bibtex_key":"Derricourt R.M. 1973. Radiocarbon chronology of the Late Stone Age and Iron Age in South Africa.S. Afr. J. Sci69 pp.280-284.","bibtex_type":"misc"}{"bibtex_key":"Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Barshay C.  2012. Paleo 23: 2-25.","bibtex_type":"misc"}{"bibtex_key":"Djindjian F.  1999. Le Paleolithique superieur en Europe. Collin. Barshay C.  2012. Paleo 23: 2-25.","bibtex_type":"misc"}{"bibtex_key":"BarandiarÔøΩn MaetzuI.le PalÔøΩolithique supÔøΩrieur au pays Basque et dans le bassin de l'Ebre.  Zilhao J. 2006. Pyrenae 37:7-84. Higham T.  2014. Nature 512: 306-309. Villaluenga A.  2012. J. of Taphonomy 10: 499-520.","bibtex_type":"misc"}{"bibtex_key":"http://www.stanford.edu/~eready/Ready_Paleo2013.pdf","bibtex_type":"misc"}{"bibtex_key":"Housley 1994","bibtex_type":"misc"}[{"bibtex_key":"dErricoEtAl2011","bibtex_type":"article","title":"{PACEA Geo-Referenced Radiocarbon Database}","author":"{}","date":"{2011}","journaltitle":"{PaleoAnthropology}","volume":"{2011}","pages":"{1–12}","abstract":"{Numerous Paleolithic radiocarbon databases exist, but their geographic and temporal scopes are diverse and their availability variable. With this paper we make available to the scientific community a georeferenced database of radiocarbon ages for the late Middle Paleolithic, Upper Paleolithic, and initial Holocene in Europe. The PACEA radiocarbon database consists of conventional and AMS 14C age determinations from archaeological sites in Europe that fall within Marine Isotope Stages (MIS) 3–1. In all, we have assembled 6,019 radiocarbon ages (conventional=3,820, AMS=2,176, unspecified=23) from a total of 1,208 sites, along with comprehensive contextual information on the dated samples.}","keywords":"{⛔ No DOI found}","file":"{/home/joeroe/g/work/library/2011/d’Errico_et_al_2011.pdf}"}][{"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: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Berry 1982
:bibtex_type: :misc
---
:bibtex_key: Derricourt R.M. 1973. Radiocarbon chronology of the Late Stone Age and
  Iron Age in South Africa.S. Afr. J. Sci69 pp.280-284.
:bibtex_type: :misc
---
:bibtex_key: 'Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Barshay
  C.  2012. Paleo 23: 2-25.'
:bibtex_type: :misc
---
:bibtex_key: 'Djindjian F.  1999. Le Paleolithique superieur en Europe. Collin. Barshay
  C.  2012. Paleo 23: 2-25.'
:bibtex_type: :misc
---
:bibtex_key: 'BarandiarÔøΩn MaetzuI.le PalÔøΩolithique supÔøΩrieur au pays Basque
  et dans le bassin de l''Ebre.  Zilhao J. 2006. Pyrenae 37:7-84. Higham T.  2014.
  Nature 512: 306-309. Villaluenga A.  2012. J. of Taphonomy 10: 499-520.'
:bibtex_type: :misc
---
:bibtex_key: http://www.stanford.edu/~eready/Ready_Paleo2013.pdf
:bibtex_type: :misc
---
:bibtex_key: Housley 1994
:bibtex_type: :misc
---
- :bibtex_key: dErricoEtAl2011
  :bibtex_type: :article
  :title: "{PACEA Geo-Referenced Radiocarbon Database}"
  :author: "{}"
  :date: "{2011}"
  :journaltitle: "{PaleoAnthropology}"
  :volume: "{2011}"
  :pages: "{1–12}"
  :abstract: "{Numerous Paleolithic radiocarbon databases exist, but their geographic
    and temporal scopes are diverse and their availability variable. With this paper
    we make available to the scientific community a georeferenced database of radiocarbon
    ages for the late Middle Paleolithic, Upper Paleolithic, and initial Holocene
    in Europe. The PACEA radiocarbon database consists of conventional and AMS 14C
    age determinations from archaeological sites in Europe that fall within Marine
    Isotope Stages (MIS) 3–1. In all, we have assembled 6,019 radiocarbon ages (conventional=3,820,
    AMS=2,176, unspecified=23) from a total of 1,208 sites, along with comprehensive
    contextual information on the dated samples.}"
  :keywords: "{⛔ No DOI found}"
  :file: "{/home/joeroe/g/work/library/2011/d’Errico_et_al_2011.pdf}"
---
- :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