Takarkori

@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{Cherkinski et Di Lernia 2013,
  
}
@misc{ManningTimpson2014,
  
}
@misc{Straus L.G.  2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon 49: 1205-1214.,
  
}
@misc{Straus L.G.  2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon 49: 1205-1214.,
  
}
@misc{Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017 QSR ip.,
  
}
@misc{Jung/Weninger 2015 226 Tab. 4,
  
}
@misc{Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.,
  
}
@misc{Higham T.  2009. QSR doi:10.1016/j.quascirev.2008.12.018.,
  
}
@misc{Natali 2017,
  
}
@misc{Pearce 2013,
  
}
@misc{Arzigian 2014:135; Aurit 2007:20,
  
}
@misc{Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T. and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1) pp.88-110.,
  
}
@misc{PerrinDachy.2020Press,
  
}
@misc{Trosper 2011 (Thesis),
  
}
@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{BDA,
  title = {Base de Données Archéologique (BDA)},
  author = {Perrin, Thomas},
  date = {2021-02-03},
  publisher = {NAKALA},
  doi = {10.34847/nkl.dde9fnm8},
  url = {https://nakala.fr/10.34847/nkl.dde9fnm8},
  urldate = {2023-09-07},
  abstract = {Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.},
  langid = {french}
}
@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":"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":"Cherkinski et Di Lernia 2013","bibtex_type":"misc"}{"bibtex_key":"ManningTimpson2014","bibtex_type":"misc"}{"bibtex_key":"Straus L.G.  2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon 49: 1205-1214.","bibtex_type":"misc"}{"bibtex_key":"Straus L.G.  2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon 49: 1205-1214.","bibtex_type":"misc"}{"bibtex_key":"Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017 QSR ip.","bibtex_type":"misc"}{"bibtex_key":"Jung/Weninger 2015 226 Tab. 4","bibtex_type":"misc"}{"bibtex_key":"Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.","bibtex_type":"misc"}{"bibtex_key":"Higham T.  2009. QSR doi:10.1016/j.quascirev.2008.12.018.","bibtex_type":"misc"}{"bibtex_key":"Natali 2017","bibtex_type":"misc"}{"bibtex_key":"Pearce 2013","bibtex_type":"misc"}{"bibtex_key":"Arzigian 2014:135; Aurit 2007:20","bibtex_type":"misc"}{"bibtex_key":"Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T. and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1) pp.88-110.","bibtex_type":"misc"}{"bibtex_key":"PerrinDachy.2020Press","bibtex_type":"misc"}{"bibtex_key":"Trosper 2011 (Thesis)","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":"BDA","bibtex_type":"dataset","title":"{Base de Données Archéologique (BDA)}","author":"{Perrin, Thomas}","date":"{2021-02-03}","publisher":"{NAKALA}","doi":"{10.34847/nkl.dde9fnm8}","url":"{https://nakala.fr/10.34847/nkl.dde9fnm8}","urldate":"{2023-09-07}","abstract":"{Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}","langid":"{french}"}][{"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: 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: Cherkinski et Di Lernia 2013
:bibtex_type: :misc
---
:bibtex_key: ManningTimpson2014
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G.  2006. ERAUL 115: 117-128. Straus L.G. 2007. Radiocarbon
  49: 1205-1214.'
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G.  2006. ERAUL 115: 117-128.Straus L.G. 2007. Radiocarbon
  49: 1205-1214.'
:bibtex_type: :misc
---
:bibtex_key: Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017
  QSR ip.
:bibtex_type: :misc
---
:bibtex_key: Jung/Weninger 2015 226 Tab. 4
:bibtex_type: :misc
---
:bibtex_key: Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400
  BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.
:bibtex_type: :misc
---
:bibtex_key: Higham T.  2009. QSR doi:10.1016/j.quascirev.2008.12.018.
:bibtex_type: :misc
---
:bibtex_key: Natali 2017
:bibtex_type: :misc
---
:bibtex_key: Pearce 2013
:bibtex_type: :misc
---
:bibtex_key: Arzigian 2014:135; Aurit 2007:20
:bibtex_type: :misc
---
:bibtex_key: Jerardino A. Wiltshire N. Webley L. Tusenius M. Halkett D. Hoffman M.T.
  and Maggs T. 2014. Site distribution and chronology at Soutpansklipheuwel a rocky
  outcrop on the West Coast of South Africa.The Journal of Island and Coastal Archaeology9(1)
  pp.88-110.
:bibtex_type: :misc
---
:bibtex_key: PerrinDachy.2020Press
:bibtex_type: :misc
---
:bibtex_key: Trosper 2011 (Thesis)
: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: BDA
  :bibtex_type: :dataset
  :title: "{Base de Données Archéologique (BDA)}"
  :author: "{Perrin, Thomas}"
  :date: "{2021-02-03}"
  :publisher: "{NAKALA}"
  :doi: "{10.34847/nkl.dde9fnm8}"
  :url: "{https://nakala.fr/10.34847/nkl.dde9fnm8}"
  :urldate: "{2023-09-07}"
  :abstract: "{Exports in .xlsx format of the main tables of the BDA database (Archaeological
    Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}"
  :langid: "{french}"
---
- :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}"