Salpetriere

@misc{van Willigen 2006,
  
}
@misc{Banadora,
  
}
@misc{Vermeersch2019,
  
}
@misc{Banadora. Delibrias G.  1990. In: Paleolithique moyen recent et Paleolithique superieur ancien en Europe. Memoires du Musee de Prehist. d'Ile-de-France 3:39-42. Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow.,
  
}
@misc{Bordes et al 1983,
  
}
@misc{OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene p131-174. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.,
  
}
@misc{CONTEXT CalPal Stordeur 1993 Cauvin and Stordeur 1994,
  
}
@misc{Valladas  2005. BSPF 102:109-113. J. Combier G. Jouve LÔøΩanthropologie xxx (2014) xxxxxx. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.,
  
}
@misc{OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174,
  
}
@misc{Larsson 2019,
  
}
@misc{Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.,
  
}
@misc{San Juan-Foucher C. 2005. Munibe 57: 95-111. Foucher P. Mem 52 SFP: 380-381,
  
}
@misc{F. Bazile  Etudes quaternaires languedociennes cahier nÔøΩ2.,
  
}
@misc{OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene p131-174. Rillardon M. 2014. PhD. Aix-M. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.,
  
}
@misc{Roudil J. 1978. Gallia PrÔøΩhistorie: 662-694.  Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.,
  
}
@misc{Bazile-Robert E. 1981. PalÔøΩobiologie continentale XII nÔøΩ1 : 79-90isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Rillardon M. 2014. PhD. Aix-M. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.,
  
}
@dataset{EUROEVOL,
  title = {The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset},
  author = {Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.},
  date = {2015-07-09},
  url = {https://discovery.ucl.ac.uk/id/eprint/1469811/},
  urldate = {2023-09-07},
  abstract = {This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.},
  langid = {english}
}
@misc{OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene p131-174. Rillardon M. 2014. PhD. Aix-M  Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.,
  
}
@misc{Eubar,
  
}
@misc{Gehlen 2010,
  
}
@misc{CALPAL,
  
}
@misc{Bazile 2011. Paleo.,
  
}
@misc{CalPal,
  title = {CalPal Edition 2022.9},
  author = {Weninger, Bernie},
  year = {2022},
  month = {sep},
  doi = {1010.5281/zenodo.7422618},
  url = {https://zenodo.org/record/7422618},
  abstract = {CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.},
  copyright = {Creative Commons Attribution 4.0 International, Open Access},
  howpublished = {Zenodo},
  month_numeric = {9}
}
@dataset{EUROEVOL,
  title = {The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset},
  author = {Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.},
  date = {2015-07-09},
  url = {https://discovery.ucl.ac.uk/id/eprint/1469811/},
  urldate = {2023-09-07},
  abstract = {This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.},
  langid = {english}
}
@article{RADON,
  title = {RADON - Radiocarbon Dates Online 2012. Central European Database of 14C Dates for the Neolithic and the Early Bronze Age.},
  author = {Hinz, Martin and Furholt, Martin and Müller, Johannes and Raetzel-Fabian, Dirk and Rinne, Christophe and Sjögren, Karl-Göran and Wotzka, Hans-Peter},
  date = {2012},
  journaltitle = {Journal of Neolithic Archaeology},
  volume = {14},
  pages = {1–4},
  url = {https://www.jna.uni-kiel.de/index.php/jna/article/view/65/116},
  abstract = {In order to understand the dynamics of cultural phenomena, scientific dating in archaeology is an increasingly indispensable tool. Only by dating independently of typology is it possible to understand typological development itself (Müller 2004). Here radiometric dating methods, especially those based on carbon isotopy, still play the most important role. For evaluations exceeding the intra-site level, it is particularly important that such data is collected in large numbers and that the dates are easily accessible. Also, new statistical analyses, such as sequential calibration based on Bayesian methods, do not require single dates, but rather demand a greater number. By their combination significantly more elaborate results can be achieved compared to the results from conventional evaluation (e. g. Whittle et al. 2011). A second premise of RADON is that of „Open Access“. This approach continues to be applied in the international research community, which we welcome as a highly positive development. The radiocarbon database RADON has been committed to this principle for more than 12 years. In this database 14C data – primarily of the Neolithic of Central Europe and Southern Scandinavia – is collected and successively augmented.}
}
@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":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Banadora","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Banadora. Delibrias G.  1990. In: Paleolithique moyen recent et Paleolithique superieur ancien en Europe. Memoires du Musee de Prehist. d'Ile-de-France 3:39-42. Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow.","bibtex_type":"misc"}{"bibtex_key":"Bordes et al 1983","bibtex_type":"misc"}{"bibtex_key":"OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene p131-174. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.","bibtex_type":"misc"}{"bibtex_key":"CONTEXT CalPal Stordeur 1993 Cauvin and Stordeur 1994","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":"OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174","bibtex_type":"misc"}{"bibtex_key":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.","bibtex_type":"misc"}{"bibtex_key":"San Juan-Foucher C. 2005. Munibe 57: 95-111. Foucher P. Mem 52 SFP: 380-381","bibtex_type":"misc"}{"bibtex_key":"F. Bazile  Etudes quaternaires languedociennes cahier nÔøΩ2.","bibtex_type":"misc"}{"bibtex_key":"OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene p131-174. Rillardon M. 2014. PhD. Aix-M. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.","bibtex_type":"misc"}{"bibtex_key":"Roudil J. 1978. Gallia PrÔøΩhistorie: 662-694.  Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.","bibtex_type":"misc"}{"bibtex_key":"Bazile-Robert E. 1981. PalÔøΩobiologie continentale XII nÔøΩ1 : 79-90isotope stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Rillardon M. 2014. PhD. Aix-M. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.","bibtex_type":"misc"}[{"bibtex_key":"EUROEVOL","bibtex_type":"dataset","title":"{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}","author":"{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.}","date":"{2015-07-09}","url":"{https://discovery.ucl.ac.uk/id/eprint/1469811/}","urldate":"{2023-09-07}","abstract":"{This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.}","langid":"{english}"}]{"bibtex_key":"OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique superieur du sud-est de la Francein: European late pleistocene p131-174. Rillardon M. 2014. PhD. Aix-M  Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.","bibtex_type":"misc"}{"bibtex_key":"Eubar","bibtex_type":"misc"}{"bibtex_key":"Gehlen 2010","bibtex_type":"misc"}{"bibtex_key":"CALPAL","bibtex_type":"misc"}{"bibtex_key":"Bazile 2011. Paleo.","bibtex_type":"misc"}[{"bibtex_key":"CalPal","bibtex_type":"misc","title":"{CalPal Edition 2022.9}","author":"{Weninger, Bernie}","year":"{2022}","month":"{sep}","doi":"{1010.5281/zenodo.7422618}","url":"{https://zenodo.org/record/7422618}","abstract":"{CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.}","copyright":"{Creative Commons Attribution 4.0 International, Open Access}","howpublished":"{Zenodo}","month_numeric":"{9}"}][{"bibtex_key":"EUROEVOL","bibtex_type":"dataset","title":"{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}","author":"{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.}","date":"{2015-07-09}","url":"{https://discovery.ucl.ac.uk/id/eprint/1469811/}","urldate":"{2023-09-07}","abstract":"{This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.}","langid":"{english}"}][{"bibtex_key":"RADON","bibtex_type":"article","title":"{RADON - Radiocarbon Dates Online 2012. Central European Database of 14C Dates for the Neolithic and the Early Bronze Age.}","author":"{Hinz, Martin and Furholt, Martin and Müller, Johannes and Raetzel-Fabian, Dirk and Rinne, Christophe and Sjögren, Karl-Göran and Wotzka, Hans-Peter}","date":"{2012}","journaltitle":"{Journal of Neolithic Archaeology}","volume":"{14}","pages":"{1–4}","url":"{https://www.jna.uni-kiel.de/index.php/jna/article/view/65/116}","abstract":"{In order to understand the dynamics of cultural phenomena, scientific dating in archaeology is an increasingly indispensable tool. Only by dating independently of typology is it possible to understand typological development itself (Müller 2004). Here radiometric dating methods, especially those based on carbon isotopy, still play the most important role. For evaluations exceeding the intra-site level, it is particularly important that such data is collected in large numbers and that the dates are easily accessible. Also, new statistical analyses, such as sequential calibration based on Bayesian methods, do not require single dates, but rather demand a greater number. By their combination significantly more elaborate results can be achieved compared to the results from conventional evaluation (e. g. Whittle et al. 2011). A second premise of RADON is that of „Open Access“. This approach continues to be applied in the international research community, which we welcome as a highly positive development. The radiocarbon database RADON has been committed to this principle for more than 12 years. In this database 14C data – primarily of the Neolithic of Central Europe and Southern Scandinavia – is collected and successively augmented.}"}][{"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: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Banadora
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Banadora. Delibrias G.  1990. In: Paleolithique moyen recent et Paleolithique
  superieur ancien en Europe. Memoires du Musee de Prehist. d''Ile-de-France 3:39-42.
  Szmidt C.C. 2009 In :The Mediterranean from 50000 to 25000 BP Oxbow.'
:bibtex_type: :misc
---
:bibtex_key: Bordes et al 1983
:bibtex_type: :misc
---
:bibtex_key: 'OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique
  superieur du sud-est de la Francein: European late pleistocene p131-174. Brocher
  J.E. Gallia PrÔøΩhistoire 56   2016 8-27.'
:bibtex_type: :misc
---
:bibtex_key: CONTEXT CalPal Stordeur 1993 Cauvin and Stordeur 1994
: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: 'OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique
  superieur du sud-est de la Francein: European late pleistocene isotope stages 2
  and 3: humans their ecology & cultural adaptationsp131-174'
:bibtex_type: :misc
---
:bibtex_key: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.
:bibtex_type: :misc
---
:bibtex_key: 'San Juan-Foucher C. 2005. Munibe 57: 95-111. Foucher P. Mem 52 SFP:
  380-381'
:bibtex_type: :misc
---
:bibtex_key: F. Bazile  Etudes quaternaires languedociennes cahier nÔøΩ2.
:bibtex_type: :misc
---
:bibtex_key: 'OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique
  superieur du sud-est de la Francein: European late pleistocene p131-174. Rillardon
  M. 2014. PhD. Aix-M. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.'
:bibtex_type: :misc
---
:bibtex_key: 'Roudil J. 1978. Gallia PrÔøΩhistorie: 662-694.  Brocher J.E. Gallia
  PrÔøΩhistoire 56   2016 8-27.'
:bibtex_type: :misc
---
:bibtex_key: 'Bazile-Robert E. 1981. PalÔøΩobiologie continentale XII nÔøΩ1 : 79-90isotope
  stages 2 and 3: humans their ecology & cultural adaptationsp131-174. Rillardon M.
  2014. PhD. Aix-M. Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.'
:bibtex_type: :misc
---
- :bibtex_key: EUROEVOL
  :bibtex_type: :dataset
  :title: "{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}"
  :author: "{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan,
    S.}"
  :date: "{2015-07-09}"
  :url: "{https://discovery.ucl.ac.uk/id/eprint/1469811/}"
  :urldate: "{2023-09-07}"
  :abstract: "{This dataset comprises the primary data collected for the Cultural
    Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan,
    UCL. The dataset offers the largest repository of archaeological site and radiocarbon
    data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating
    between the late Mesolithic and Early Bronze Age, as well as the largest collections
    of archaeobotanical data (>8300 records for 729 different species, genera and
    families, and the largest collection of animal bone data with >3 million NISP
    counts and >36,000 biometrics.}"
  :langid: "{english}"
---
:bibtex_key: 'OnoratiniG and Renault-MiskovskyJPrÔøΩhistoire et environnement du paleolithique
  superieur du sud-est de la Francein: European late pleistocene p131-174. Rillardon
  M. 2014. PhD. Aix-M  Brocher J.E. Gallia PrÔøΩhistoire 56   2016 8-27.'
:bibtex_type: :misc
---
:bibtex_key: Eubar
:bibtex_type: :misc
---
:bibtex_key: Gehlen 2010
:bibtex_type: :misc
---
:bibtex_key: CALPAL
:bibtex_type: :misc
---
:bibtex_key: Bazile 2011. Paleo.
:bibtex_type: :misc
---
- :bibtex_key: CalPal
  :bibtex_type: :misc
  :title: "{CalPal Edition 2022.9}"
  :author: "{Weninger, Bernie}"
  :year: "{2022}"
  :month: "{sep}"
  :doi: "{1010.5281/zenodo.7422618}"
  :url: "{https://zenodo.org/record/7422618}"
  :abstract: "{CalPal is scientific freeware for 14C-based chronological research
    for Holocene and Palaeolithic Archaeology.}"
  :copyright: "{Creative Commons Attribution 4.0 International, Open Access}"
  :howpublished: "{Zenodo}"
  :month_numeric: "{9}"
---
- :bibtex_key: EUROEVOL
  :bibtex_type: :dataset
  :title: "{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}"
  :author: "{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan,
    S.}"
  :date: "{2015-07-09}"
  :url: "{https://discovery.ucl.ac.uk/id/eprint/1469811/}"
  :urldate: "{2023-09-07}"
  :abstract: "{This dataset comprises the primary data collected for the Cultural
    Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan,
    UCL. The dataset offers the largest repository of archaeological site and radiocarbon
    data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating
    between the late Mesolithic and Early Bronze Age, as well as the largest collections
    of archaeobotanical data (>8300 records for 729 different species, genera and
    families, and the largest collection of animal bone data with >3 million NISP
    counts and >36,000 biometrics.}"
  :langid: "{english}"
---
- :bibtex_key: RADON
  :bibtex_type: :article
  :title: "{RADON - Radiocarbon Dates Online 2012. Central European Database of 14C
    Dates for the Neolithic and the Early Bronze Age.}"
  :author: "{Hinz, Martin and Furholt, Martin and Müller, Johannes and Raetzel-Fabian,
    Dirk and Rinne, Christophe and Sjögren, Karl-Göran and Wotzka, Hans-Peter}"
  :date: "{2012}"
  :journaltitle: "{Journal of Neolithic Archaeology}"
  :volume: "{14}"
  :pages: "{1–4}"
  :url: "{https://www.jna.uni-kiel.de/index.php/jna/article/view/65/116}"
  :abstract: "{In order to understand the dynamics of cultural phenomena, scientific
    dating in archaeology is an increasingly indispensable tool. Only by dating independently
    of typology is it possible to understand typological development itself (Müller
    2004). Here radiometric dating methods, especially those based on carbon isotopy,
    still play the most important role. For evaluations exceeding the intra-site level,
    it is particularly important that such data is collected in large numbers and
    that the dates are easily accessible. Also, new statistical analyses, such as
    sequential calibration based on Bayesian methods, do not require single dates,
    but rather demand a greater number. By their combination significantly more elaborate
    results can be achieved compared to the results from conventional evaluation (e.
    g. Whittle et al. 2011). A second premise of RADON is that of „Open Access“. This
    approach continues to be applied in the international research community, which
    we welcome as a highly positive development. The radiocarbon database RADON has
    been committed to this principle for more than 12 years. In this database 14C
    data – primarily of the Neolithic of Central Europe and Southern Scandinavia –
    is collected and successively augmented.}"
---
- :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}"