Site type

Location

Coordinates (degrees)
046.210° N, 018.703° E
Coordinates (DMS)
046° 12' 00" E, 018° 42' 00" N
Country (ISO 3166)
Hungary (HU)

radiocarbon date Radiocarbon dates (285)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
MAMS-11926 NA bone NA NA 6649±29 BP 7575–7478 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11927 NA bone NA NA 6852±31 BP 7740–7615 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11928 NA bone NA NA 6677±27 BP 7585–7505 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11929 NA bone NA NA 6571±34 BP 7560–7426 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11930 NA bone NA NA 6672±35 BP 7601–7478 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11931 NA bone NA NA 6657±30 BP 7578–7480 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11932 NA bone NA NA 6661±25 BP 7578–7502 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11933 NA bone NA NA 6704±34 BP 7658–7507 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11934 NA bone NA NA 6800±35 BP 7678–7585 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11935 NA bone NA NA 6857±31 BP 7745–7616 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11936 NA bone NA NA 6698±34 BP 7653–7505 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11937 NA bone NA NA 6709±34 BP 7658–7510 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11938 NA bone NA NA 6617±38 BP 7570–7430 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11939 NA bone NA NA 6695±40 BP 7657–7483 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11940 NA bone NA NA 6853±38 BP 7780–7610 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-11941 NA bone NA NA 5790±33 BP 6662–6499 cal BP Becker et al. 2015 727-745 (Anhang) Bird et al. 2022
MAMS-14813 NA bone NA NA 6008±32 BP 6939–6750 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-14814 NA bone NA NA 6032±32 BP 6950–6790 cal BP Oross et al. 2016 Bird et al. 2022
MAMS-14815 NA bone NA NA 5989±32 BP 6930–6741 cal BP SzÔøΩcsÔøΩnyi-Nagy 2015 Bird et al. 2022
MAMS-14817 NA bone NA NA 6049±29 BP 6977–6796 cal BP Oross et al. 2016 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Clist 2018: 238 Tab. 18.1,
  
}
@misc{Oxford Datelist,
  
}
@misc{Sraka Diss,
  
}
@misc{Oxford Date List 14,
  
}
@misc{Oross 2016,
  
}
@misc{Jakucs 2018,
  
}
@misc{Hedges et al 1992,
  
}
@misc{Silva_VanderLinden_2017,
  
}
@misc{Arroba D. 1984. Rivista Ingauna e Intemelia nuova serie nÔøΩ3-5. Benazzi S. 2015. Science. DOI: 10.1226/science.aaa2773. Holt S.  2019 QI xxx,
  
}
@misc{SzÔøΩcsÔøΩnyi-Nagy 2015,
  
}
@misc{Tasià 2015b,
  
}
@misc{Becker et al. 2015 727-745 (Anhang),
  
}
@misc{Oross et al. 2016,
  
}
@misc{Jakucs et al. 2016,
  
}
@misc{Bergerbrant et al. 2017 appendix 2,
  
}
@misc{Aude  CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS DE LA GROTTE DU BOIS-RAGOT,
  
}
@misc{Higham et al. 2015,
  
}
@misc{Mitchell P. and Arthur C. 2014. Ha Makotoko: Later Stone Age Occupation across the Pleistocene/Holocene Transition in Western Lesotho.Journal of African Archaeology12(2) pp.205-232.,
  
}
@misc{Pinhasi R. 2014 10/2014; 9(10):e111271. DOI: 10.1371/journal.pone.0111271,
  
}
@misc{Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L.  JHE 78: 158-180.,
  
}
@misc{Douka K.  2019. Nature 565: 640-644.,
  
}
@misc{Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015,
  
}
@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":"Clist 2018: 238 Tab. 18.1","bibtex_type":"misc"}{"bibtex_key":"Oxford Datelist","bibtex_type":"misc"}{"bibtex_key":"Sraka Diss","bibtex_type":"misc"}{"bibtex_key":"Oxford Date List 14","bibtex_type":"misc"}{"bibtex_key":"Oross 2016","bibtex_type":"misc"}{"bibtex_key":"Jakucs 2018","bibtex_type":"misc"}{"bibtex_key":"Hedges et al 1992","bibtex_type":"misc"}{"bibtex_key":"Silva_VanderLinden_2017","bibtex_type":"misc"}{"bibtex_key":"Arroba D. 1984. Rivista Ingauna e Intemelia nuova serie nÔøΩ3-5. Benazzi S. 2015. Science. DOI: 10.1226/science.aaa2773. Holt S.  2019 QI xxx","bibtex_type":"misc"}{"bibtex_key":"SzÔøΩcsÔøΩnyi-Nagy 2015","bibtex_type":"misc"}{"bibtex_key":"Tasià 2015b","bibtex_type":"misc"}{"bibtex_key":"Becker et al. 2015 727-745 (Anhang)","bibtex_type":"misc"}{"bibtex_key":"Oross et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Jakucs et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Bergerbrant et al. 2017 appendix 2","bibtex_type":"misc"}{"bibtex_key":"Aude  CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS DE LA GROTTE DU BOIS-RAGOT","bibtex_type":"misc"}{"bibtex_key":"Higham et al. 2015","bibtex_type":"misc"}{"bibtex_key":"Mitchell P. and Arthur C. 2014. Ha Makotoko: Later Stone Age Occupation across the Pleistocene/Holocene Transition in Western Lesotho.Journal of African Archaeology12(2) pp.205-232.","bibtex_type":"misc"}{"bibtex_key":"Pinhasi R. 2014 10/2014; 9(10):e111271. DOI: 10.1371/journal.pone.0111271","bibtex_type":"misc"}{"bibtex_key":"Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L.  JHE 78: 158-180.","bibtex_type":"misc"}{"bibtex_key":"Douka K.  2019. Nature 565: 640-644.","bibtex_type":"misc"}{"bibtex_key":"Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015","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: 'Clist 2018: 238 Tab. 18.1'
:bibtex_type: :misc
---
:bibtex_key: Oxford Datelist
:bibtex_type: :misc
---
:bibtex_key: Sraka Diss
:bibtex_type: :misc
---
:bibtex_key: Oxford Date List 14
:bibtex_type: :misc
---
:bibtex_key: Oross 2016
:bibtex_type: :misc
---
:bibtex_key: Jakucs 2018
:bibtex_type: :misc
---
:bibtex_key: Hedges et al 1992
:bibtex_type: :misc
---
:bibtex_key: Silva_VanderLinden_2017
:bibtex_type: :misc
---
:bibtex_key: 'Arroba D. 1984. Rivista Ingauna e Intemelia nuova serie nÔøΩ3-5. Benazzi
  S. 2015. Science. DOI: 10.1226/science.aaa2773. Holt S.  2019 QI xxx'
:bibtex_type: :misc
---
:bibtex_key: SzÔøΩcsÔøΩnyi-Nagy 2015
:bibtex_type: :misc
---
:bibtex_key: Tasià 2015b
:bibtex_type: :misc
---
:bibtex_key: Becker et al. 2015 727-745 (Anhang)
:bibtex_type: :misc
---
:bibtex_key: Oross et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Jakucs et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Bergerbrant et al. 2017 appendix 2
:bibtex_type: :misc
---
:bibtex_key: Aude  CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS
  DE LA GROTTE DU BOIS-RAGOT
:bibtex_type: :misc
---
:bibtex_key: Higham et al. 2015
:bibtex_type: :misc
---
:bibtex_key: 'Mitchell P. and Arthur C. 2014. Ha Makotoko: Later Stone Age Occupation
  across the Pleistocene/Holocene Transition in Western Lesotho.Journal of African
  Archaeology12(2) pp.205-232.'
:bibtex_type: :misc
---
:bibtex_key: 'Pinhasi R. 2014 10/2014; 9(10):e111271. DOI: 10.1371/journal.pone.0111271'
:bibtex_type: :misc
---
:bibtex_key: 'Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L.  JHE
  78: 158-180.'
:bibtex_type: :misc
---
:bibtex_key: 'Douka K.  2019. Nature 565: 640-644.'
:bibtex_type: :misc
---
:bibtex_key: Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015
: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