Site type

Location

Coordinates (degrees)
044.483° N, 004.750° E
Coordinates (DMS)
044° 28' 00" E, 004° 45' 00" N
Country (ISO 3166)
France (FR)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Lyon-2755 OxA bone NA NA 33300±230 BP Vermeersch2019 Bird et al. 2022
OxA-21685 bone NA NA 39000±1000 BP Wood R.E. 2014.JHE 69: 91-109. Bird et al. 2022
OxA-21690 bone NA NA 41700±1400 BP Yvorna P. 2003 Antiquity 77: 336-344. Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow. Higham T. 2014. Nature 512: 306-309. Bird et al. 2022
OxA-21691 tooth NA NA 45300±2200 BP Vermeersch2019 Bird et al. 2022
OxA-21698 bone Coelodonta antiquitatis Linty NA NA 47000±2700 BP Morin E. 2005. Journal of Archaeological Science 32: 1083-1098. Higham T. 2014. Nature 512: 306-309. Hublin 2012. PNAS 109: 18745. Gravina B. 2018. Scientific Reports1!: 15134 Bird et al. 2022
OxA-22120 bone NA NA 43400±1800 BP Yvorna P. 2003 Antiquity 77: 336-344. Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow. Higham T. 2014. Nature 512: 306-309. Bird et al. 2022
OxA-22121 bone NA NA 40300±1200 BP R. Pinhasi / Journal of Human Evolution 63 (2012) 770-780 Bird et al. 2022
Poz-39517 tooth NA NA 31750±400 BP Rodrigues et al 2015 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Vermeersch2019,
  
}
@misc{Wood R.E.  2014.JHE 69: 91-109.,
  
}
@misc{Yvorna P.  2003 Antiquity 77: 336-344. Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow. Higham T.  2014. Nature 512: 306-309.,
  
}
@misc{Morin E.  2005. Journal of Archaeological Science 32: 1083-1098. Higham T.  2014. Nature 512: 306-309. Hublin  2012. PNAS 109: 18745. Gravina B.  2018. Scientific Reports1!: 15134,
  
}
@misc{R. Pinhasi  / Journal of Human Evolution 63 (2012) 770-780,
  
}
@misc{Rodrigues et al 2015,
  
}
@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":"Wood R.E.  2014.JHE 69: 91-109.","bibtex_type":"misc"}{"bibtex_key":"Yvorna P.  2003 Antiquity 77: 336-344. Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow. Higham T.  2014. Nature 512: 306-309.","bibtex_type":"misc"}{"bibtex_key":"Morin E.  2005. Journal of Archaeological Science 32: 1083-1098. Higham T.  2014. Nature 512: 306-309. Hublin  2012. PNAS 109: 18745. Gravina B.  2018. Scientific Reports1!: 15134","bibtex_type":"misc"}{"bibtex_key":"R. Pinhasi  / Journal of Human Evolution 63 (2012) 770-780","bibtex_type":"misc"}{"bibtex_key":"Rodrigues et al 2015","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: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Wood R.E.  2014.JHE 69: 91-109.'
:bibtex_type: :misc
---
:bibtex_key: 'Yvorna P.  2003 Antiquity 77: 336-344. Szmidt C.C. 2009 In :The Mediterranean
  from 50000 to 25000 BP Oxbow. Higham T.  2014. Nature 512: 306-309.'
:bibtex_type: :misc
---
:bibtex_key: 'Morin E.  2005. Journal of Archaeological Science 32: 1083-1098. Higham
  T.  2014. Nature 512: 306-309. Hublin  2012. PNAS 109: 18745. Gravina B.  2018.
  Scientific Reports1!: 15134'
:bibtex_type: :misc
---
:bibtex_key: R. Pinhasi  / Journal of Human Evolution 63 (2012) 770-780
:bibtex_type: :misc
---
:bibtex_key: Rodrigues et al 2015
: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