Site type

Location

Coordinates (degrees)
043.207° N, 005.451° E
Coordinates (DMS)
043° 12' 00" E, 005° 27' 00" N
Country (ISO 3166)
France (FR)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GifA-14171/SacA-39202 charcoal NA NA 16310±320 BP OnoratiniG and Renault-MiskovskyJ: European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633. Bird et al. 2022
GifA-14173/SacA-39204 charcoal NA NA 26310±270 BP Banadora Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633. Bird et al. 2022
GifA-14228/SacA-39210 acid humic fraction SIG133 farandole of great well highest part of the drawing NA NA 26900±290 BP Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675. Bird et al. 2022
GifA-92350 soil NA NA 27870±470 BP Gallia-PrÔøΩhistoire 32 1990 65-128. Stordeur D. and G. Pion 1993 Gallia Prehistoire 35 1993: 293-309. http://bocquet.club.fr/page 5a.htm. Mevel L. 2013. Antiquity: 389. Bird et al. 2022
GifA-95358 charcoal NA NA 24840±340 BP Amormino V.L'Anthropologie 104 (2000) 373-381. Gonzalez J. . 2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001. Bird et al. 2022
GifA-95372 humic NA NA 23150±620 BP Valladas H. 2001. Radiocarbon 43: 977. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{OnoratiniG and Renault-MiskovskyJ: European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.,
  
}
@misc{Banadora Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.,
  
}
@misc{Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.,
  
}
@misc{Gallia-PrÔøΩhistoire 32 1990 65-128. Stordeur D. and G. Pion 1993 Gallia Prehistoire 35 1993: 293-309. http://bocquet.club.fr/page 5a.htm. Mevel L. 2013. Antiquity: 389.,
  
}
@misc{Amormino V.L'Anthropologie 104 (2000) 373-381. Gonzalez J. .  2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001.,
  
}
@misc{Valladas H.  2001. Radiocarbon 43: 977.,
  
}
@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":"OnoratiniG and Renault-MiskovskyJ: European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.","bibtex_type":"misc"}{"bibtex_key":"Banadora Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.","bibtex_type":"misc"}{"bibtex_key":"Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.","bibtex_type":"misc"}{"bibtex_key":"Gallia-PrÔøΩhistoire 32 1990 65-128. Stordeur D. and G. Pion 1993 Gallia Prehistoire 35 1993: 293-309. http://bocquet.club.fr/page 5a.htm. Mevel L. 2013. Antiquity: 389.","bibtex_type":"misc"}{"bibtex_key":"Amormino V.L'Anthropologie 104 (2000) 373-381. Gonzalez J. .  2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001.","bibtex_type":"misc"}{"bibtex_key":"Valladas H.  2001. Radiocarbon 43: 977.","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: 'OnoratiniG and Renault-MiskovskyJ: European late pleistocene isotope
  stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Valladas H.
  Radiocarbon Vol 59 Nr 2 2017 p 621-633.'
:bibtex_type: :misc
---
:bibtex_key: Banadora Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.
:bibtex_type: :misc
---
:bibtex_key: 'Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie
  xxx (2014) xxxxxx. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.'
:bibtex_type: :misc
---
:bibtex_key: 'Gallia-PrÔøΩhistoire 32 1990 65-128. Stordeur D. and G. Pion 1993 Gallia
  Prehistoire 35 1993: 293-309. http://bocquet.club.fr/page 5a.htm. Mevel L. 2013.
  Antiquity: 389.'
:bibtex_type: :misc
---
:bibtex_key: 'Amormino V.L''Anthropologie 104 (2000) 373-381. Gonzalez J. .  2007.
  L''Anthropologie doi: 10.1016/j.anthro.2007.07.001.'
:bibtex_type: :misc
---
:bibtex_key: 'Valladas H.  2001. Radiocarbon 43: 977.'
: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