Site type

Location

Coordinates (degrees)
048.251° N, 002.662° E
Coordinates (DMS)
048° 15' 00" E, 002° 39' 00" N
Country (ISO 3166)
France (FR)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Erl-16609 bone Coelodonta antiquitatis Linty NA NA 34450±541 BP Bodu P. Gallia PrÔøΩhistoire 57 2017 3-64. Bird et al. 2022
Erl-16610 bone Coelodonta antiquitatis Linty NA NA 29900±620 BP Kahlheber et al. 2014: 500 Tab. 4 Bird et al. 2022
Erl-17854 charcoal NA NA 19096±121 BP Bodu P. Gallia PrÔøΩhistoire 57 2017 3-64. Bird et al. 2022
Erl-17855 charcoal NA NA 34005±358 BP Vermeersch2019 Bird et al. 2022
Erl-19456 charcoal NA NA 37442±643 BP Vermeersch2019 Bird et al. 2022
Erl-8203 NA NA 26691±530 BP Vermeersch2019 Bird et al. 2022
Lyon-11864/SacA-40374 charcoal NA NA 37400±1100 BP Vermeersch2019 Bird et al. 2022
Poz-32394 bone NA NA 27350±450 BP Kienlin et al. 2010 233 Abb. 48 Bird et al. 2022
SacA-43205 bone NA NA 30110±390 BP Bodu P. Gallia PrÔøΩhistoire 57 2017 3-64. Bird et al. 2022
SacA-43206 charcoal NA NA 27930±300 BP Sumely F. 2017. BSPF 114: 173-176. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Bodu P. Gallia PrÔøΩhistoire 57   2017 3-64.,
  
}
@misc{Kahlheber et al. 2014: 500 Tab. 4,
  
}
@misc{Vermeersch2019,
  
}
@misc{Kienlin et al. 2010 233 Abb. 48,
  
}
@misc{Sumely F.  2017. BSPF 114: 173-176.,
  
}
@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":"Bodu P. Gallia PrÔøΩhistoire 57   2017 3-64.","bibtex_type":"misc"}{"bibtex_key":"Kahlheber et al. 2014: 500 Tab. 4","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Kienlin et al. 2010 233 Abb. 48","bibtex_type":"misc"}{"bibtex_key":"Sumely F.  2017. BSPF 114: 173-176.","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: Bodu P. Gallia PrÔøΩhistoire 57   2017 3-64.
:bibtex_type: :misc
---
:bibtex_key: 'Kahlheber et al. 2014: 500 Tab. 4'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Kienlin et al. 2010 233 Abb. 48
:bibtex_type: :misc
---
:bibtex_key: 'Sumely F.  2017. BSPF 114: 173-176.'
: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