Grande Grotte

@misc{Djindjian 2000b,
  
}
@misc{Bocaut-Appel J-P & Demars P.Y 2000. Antiquity 74 285. Henry-Gambier D. 2001 Bulletins et Memoires de la Societe d'Anthropologie de Paris 16: 49-87.,
  
}
@misc{Vermeersch2019,
  
}
@misc{Allard  1996,
  
}
@misc{Daugas et al. 1989,
  
}
@misc{Djindjan 2000. In Hunters of the Golden Age. Pigeaud R. 2002. L'Anthropologie 106: 445-. Bignon-Lau O 2013. QI in press. Lacarriere J.  2015. QI 359-360: 520-534.,
  
}
@misc{Guilaine 2003 14,
  
}
@misc{Cava Almuzara A. 2004. Saldvie 4: 17-40. Garcia-Arguelles Andreu P.. 2005. Trabajos de Prehistoria 62: 65-83. Allue E.   2007. Trabajos de Prehistoria 64: 87-97. Martinez-Moreno J.  TP 66: 45-60. Morales J.I.  2013. TP 70: 54-75.,
  
}
@misc{Bosset 2010,
  
}
@misc{Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.,
  
}
@misc{Conard N.J.  2003. JHE 44: 331-371. Conard N.J. 2004. Mitteilungen des Gesellschaft fur Urgeschichte 13: 29-59. Conard H.J.  2008. JHE 55:886-897.,
  
}
@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}
}

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---
:bibtex_key: Djindjian 2000b
:bibtex_type: :misc
---
:bibtex_key: 'Bocaut-Appel J-P & Demars P.Y 2000. Antiquity 74 285. Henry-Gambier
  D. 2001 Bulletins et Memoires de la Societe d''Anthropologie de Paris 16: 49-87.'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Allard  1996
:bibtex_type: :misc
---
:bibtex_key: Daugas et al. 1989
:bibtex_type: :misc
---
:bibtex_key: 'Djindjan 2000. In Hunters of the Golden Age. Pigeaud R. 2002. L''Anthropologie
  106: 445-. Bignon-Lau O 2013. QI in press. Lacarriere J.  2015. QI 359-360: 520-534.'
:bibtex_type: :misc
---
:bibtex_key: Guilaine 2003 14
:bibtex_type: :misc
---
:bibtex_key: 'Cava Almuzara A. 2004. Saldvie 4: 17-40. Garcia-Arguelles Andreu P..
  2005. Trabajos de Prehistoria 62: 65-83. Allue E.   2007. Trabajos de Prehistoria
  64: 87-97. Martinez-Moreno J.  TP 66: 45-60. Morales J.I.  2013. TP 70: 54-75.'
:bibtex_type: :misc
---
:bibtex_key: Bosset 2010
:bibtex_type: :misc
---
:bibtex_key: Valladas H. Radiocarbon Vol 59 Nr 2 2017 p 621-633.
:bibtex_type: :misc
---
:bibtex_key: 'Conard N.J.  2003. JHE 44: 331-371. Conard N.J. 2004. Mitteilungen des
  Gesellschaft fur Urgeschichte 13: 29-59. Conard H.J.  2008. JHE 55:886-897.'
: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}"