Chauvet-Pont d'Arc
Archaeological site
in France
Record created in XRONOS on 2022-12-02 00:50:45 UTC.
Last updated on 2022-12-02 00:50:45 UTC.
See changelog for details.
Contributors: XRONOS development team
Contributors: XRONOS development team
Location
- Coordinates (degrees)
- 044.387° N, 004.424° E
- Coordinates (DMS)
- 044° 23' 00" E, 004° 25' 00" N
- Country (ISO 3166)
- France (FR)
Linked Data
There is no linked data available for this record.
Radiocarbon dates
(24)
Typological dates
(0)
| Classification | Estimated age | References |
|---|
Bibliographic references
- No bibliographic information available. [Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.]
- No bibliographic information available. [Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Guibert P. 2015. Q Geochronology 29: 36-45 Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.]
- No bibliographic information available. [Quiles A. 2014. Radiocarbon 56: 833-850.]
- No bibliographic information available. [Valladas H. Eurasian Prehistory 1: 57-82. Sachse-Kozlowska E. & Kozlowski S.K. 2004. Piekary Krakow.. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.]
- No bibliographic information available. [Zilhao J. 2006. Pyrenae 37:7-84.Maillo Fernandez J.M. In TOWARDS A DEFINITION OF THE AURIGNACIAN: 111-130. Maroto J. 2012. QI 247: 15-25.]
- No bibliographic information available. [Larsson 2019]
- No bibliographic information available. [Otte M. & Miller R. 1999. : European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Flas D. 2005. Anthropologica et Praehistorica 116: 233-245.]
- No bibliographic information available. [Brocher J.E. Gallia PrÔøΩhistoire 56 2016 8-27.]
- No bibliographic information available. [Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.]
- Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]
@misc{Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.,
}
@misc{Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Guibert P. 2015. Q Geochronology 29: 36-45 Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.,
}
@misc{Quiles A. 2014. Radiocarbon 56: 833-850.,
}
@misc{Valladas H. Eurasian Prehistory 1: 57-82. Sachse-Kozlowska E. & Kozlowski S.K. 2004. Piekary Krakow.. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.,
}
@misc{Zilhao J. 2006. Pyrenae 37:7-84.Maillo Fernandez J.M. In TOWARDS A DEFINITION OF THE AURIGNACIAN: 111-130. Maroto J. 2012. QI 247: 15-25.,
}
@misc{Larsson 2019,
}
@misc{Otte M. & Miller R. 1999. : European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Flas D. 2005. Anthropologica et Praehistorica 116: 233-245.,
}
@misc{Brocher J.E. Gallia PrÔøΩhistoire 56 2016 8-27.,
}
@misc{Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.,
}
@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":"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":"Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Guibert P. 2015. Q Geochronology 29: 36-45 Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.","bibtex_type":"misc"}{"bibtex_key":"Quiles A. 2014. Radiocarbon 56: 833-850.","bibtex_type":"misc"}{"bibtex_key":"Valladas H. Eurasian Prehistory 1: 57-82. Sachse-Kozlowska E. & Kozlowski S.K. 2004. Piekary Krakow.. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.","bibtex_type":"misc"}{"bibtex_key":"Zilhao J. 2006. Pyrenae 37:7-84.Maillo Fernandez J.M. In TOWARDS A DEFINITION OF THE AURIGNACIAN: 111-130. Maroto J. 2012. QI 247: 15-25.","bibtex_type":"misc"}{"bibtex_key":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Otte M. & Miller R. 1999. : European Late Pleistocene Isotope Stages 2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Flas D. 2005. Anthropologica et Praehistorica 116: 233-245.","bibtex_type":"misc"}{"bibtex_key":"Brocher J.E. Gallia PrÔøΩhistoire 56 2016 8-27.","bibtex_type":"misc"}{"bibtex_key":"Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.","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: '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: 'Valladas 2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie
xxx (2014) xxxxxx. Guibert P. 2015. Q Geochronology 29: 36-45 Faigenbaum-Golovin
S. 2016. PNAS 113: 4670-4675.Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.'
:bibtex_type: :misc
---
:bibtex_key: 'Quiles A. 2014. Radiocarbon 56: 833-850.'
:bibtex_type: :misc
---
:bibtex_key: 'Valladas H. Eurasian Prehistory 1: 57-82. Sachse-Kozlowska E. & Kozlowski
S.K. 2004. Piekary Krakow.. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.'
:bibtex_type: :misc
---
:bibtex_key: 'Zilhao J. 2006. Pyrenae 37:7-84.Maillo Fernandez J.M. In TOWARDS A DEFINITION
OF THE AURIGNACIAN: 111-130. Maroto J. 2012. QI 247: 15-25.'
:bibtex_type: :misc
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: 'Otte M. & Miller R. 1999. : European Late Pleistocene Isotope Stages
2 and 3: humans their ecology & cultural adaptations Eraul 90: 81-95. Flas D. 2005.
Anthropologica et Praehistorica 116: 233-245.'
:bibtex_type: :misc
---
:bibtex_key: Brocher J.E. Gallia PrÔøΩhistoire 56 2016 8-27.
:bibtex_type: :misc
---
:bibtex_key: 'Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.'
: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}"