Site type

Location

Coordinates (degrees)
046.412° N, 003.639° E
Coordinates (DMS)
046° 24' 00" E, 003° 38' 00" N
Country (ISO 3166)
France (FR)

radiocarbon date Radiocarbon dates (14)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OxA-13617 bone NA NA 34550±500 BP Gravina B. 2005. Nature. Zilhao J. 2008. PaleoAnthropology: 1-42. Bird et al. 2022
OxA-13618 bone NA NA 35890±380 BP Gravina B. 2005. Nature. Zilhao J. 2008. PaleoAnthropology: 1-42. Bird et al. 2022
OxA-13619 bone NA NA 35400±450 BP Lavachery 2001; Garcin et al. 2018 Bird et al. 2022
OxA-13621 bone NA NA 40650±600 BP Gravina B. 2005. Nature Bird et al. 2022
OxA-13622 bone NA NA 39150±600 BP Vermeersch2019 Bird et al. 2022
OxA-13723 bone NA NA 36000±1000 BP Gravina B. 2005. Nature. Zilhao J. 2008. PaleoAnthropology: 1-42. Bird et al. 2022
OxA-13724 bone NA NA 36250±750 BP Vermeersch2019 Bird et al. 2022
OxA-14165 bone NA NA 36340±320 BP Gravina B. 2005. Nature. Zilhao J. 2008. PaleoAnthropology: 1-42. Bird et al. 2022
OxA-14166 bone NA NA 34940±330 BP Vermeersch2019 Bird et al. 2022
OxA-14318 bone NA NA 35540±280 BP Gravina B. 2005. Nature Bird et al. 2022
OxA-14320 bone NA NA 39240±380 BP Vermeersch2019 Bird et al. 2022
OxA-29884 antler NA NA 15340±70 BP Barshay-Szmidt C. Quaternary International 414 (2016) 62-91. Bird et al. 2022
OxA-29935 antler NA NA 14510±70 BP Vermeersch2019 Bird et al. 2022
OxA-31060 antler NA NA 14375±70 BP Vermeersch2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Gravina B.  2005. Nature. Zilhao J.   2008. PaleoAnthropology: 1-42.,
  
}
@misc{Lavachery 2001; Garcin et al. 2018,
  
}
@misc{Gravina B.  2005. Nature,
  
}
@misc{Vermeersch2019,
  
}
@misc{Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.,
  
}
@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":"Gravina B.  2005. Nature. Zilhao J.   2008. PaleoAnthropology: 1-42.","bibtex_type":"misc"}{"bibtex_key":"Lavachery 2001; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Gravina B.  2005. Nature","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.","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: 'Gravina B.  2005. Nature. Zilhao J.   2008. PaleoAnthropology: 1-42.'
:bibtex_type: :misc
---
:bibtex_key: Lavachery 2001; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: Gravina B.  2005. Nature
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.
: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}"

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