OxA-28491, radiocarbon date from Alsónyék – Bátaszék

Measurement

Age (uncal BP): 5755
Error (±): 35
Lab: NA
Method: NA
Sample material: bone
Sample taxon: NA

Calibration

Calibration curve

IntCal20 (Reimer et al. 2020)

Calibrated age (2σ, cal BP)

6650–6484
6466–6454

Context

Site: Alsónyék – Bátaszék
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (23)

No bibliographic information available. [Hedges et al 1992]
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]
No bibliographic information available. [Oross et al. 2016]
No bibliographic information available. [Becker et al. 2015 727-745 (Anhang)]
No bibliographic information available. [SzÔøΩcsÔøΩnyi-Nagy 2015]
No bibliographic information available. [Silva_VanderLinden_2017]
No bibliographic information available. [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]
No bibliographic information available. [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.]
No bibliographic information available. [Pinhasi R. 2014 10/2014; 9(10):e111271. DOI: 10.1371/journal.pone.0111271]
No bibliographic information available. [Aude CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS DE LA GROTTE DU BOIS-RAGOT]
No bibliographic information available. [Oxford Date List 14]
No bibliographic information available. [Tasià 2015b]
No bibliographic information available. [Higham et al. 2015]
No bibliographic information available. [Oxford Datelist]
No bibliographic information available. [Jakucs et al. 2016]
No bibliographic information available. [Bergerbrant et al. 2017 appendix 2]
No bibliographic information available. [Douka K. 2019. Nature 565: 640-644.]
No bibliographic information available. [Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015]
No bibliographic information available. [Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L. JHE 78: 158-180.]
No bibliographic information available. [Sraka Diss]
No bibliographic information available. [Clist 2018: 238 Tab. 18.1]
No bibliographic information available. [Oross 2016]
No bibliographic information available. [Jakucs 2018]

@misc{Hedges et al 1992,
  
}
@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}
}
@misc{Oross et al. 2016,
  
}
@misc{Becker et al. 2015 727-745 (Anhang),
  
}
@misc{SzÔøΩcsÔøΩnyi-Nagy 2015,
  
}
@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{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{Aude  CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS DE LA GROTTE DU BOIS-RAGOT,
  
}
@misc{Oxford Date List 14,
  
}
@misc{Tasià 2015b,
  
}
@misc{Higham et al. 2015,
  
}
@misc{Oxford Datelist,
  
}
@misc{Jakucs et al. 2016,
  
}
@misc{Bergerbrant et al. 2017 appendix 2,
  
}
@misc{Douka K.  2019. Nature 565: 640-644.,
  
}
@misc{Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015,
  
}
@misc{Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L.  JHE 78: 158-180.,
  
}
@misc{Sraka Diss,
  
}
@misc{Clist 2018: 238 Tab. 18.1,
  
}
@misc{Oross 2016,
  
}
@misc{Jakucs 2018,
  
}

{"bibtex_key":"Hedges et al 1992","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":"Oross et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Becker et al. 2015 727-745 (Anhang)","bibtex_type":"misc"}{"bibtex_key":"SzÔøΩcsÔøΩnyi-Nagy 2015","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":"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":"Aude  CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS DE LA GROTTE DU BOIS-RAGOT","bibtex_type":"misc"}{"bibtex_key":"Oxford Date List 14","bibtex_type":"misc"}{"bibtex_key":"Tasià 2015b","bibtex_type":"misc"}{"bibtex_key":"Higham et al. 2015","bibtex_type":"misc"}{"bibtex_key":"Oxford Datelist","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":"Douka K.  2019. Nature 565: 640-644.","bibtex_type":"misc"}{"bibtex_key":"Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015","bibtex_type":"misc"}{"bibtex_key":"Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L.  JHE 78: 158-180.","bibtex_type":"misc"}{"bibtex_key":"Sraka Diss","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1","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: 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: Oross et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Becker et al. 2015 727-745 (Anhang)
:bibtex_type: :misc
---
:bibtex_key: SzÔøΩcsÔøΩnyi-Nagy 2015
: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: '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: Aude  CHEVALLIER NOUVELLES DATATIONS RADIOCARBONE DES NIVEAUX AZILIENS
  DE LA GROTTE DU BOIS-RAGOT
:bibtex_type: :misc
---
:bibtex_key: Oxford Date List 14
:bibtex_type: :misc
---
:bibtex_key: Tasià 2015b
:bibtex_type: :misc
---
:bibtex_key: Higham et al. 2015
:bibtex_type: :misc
---
:bibtex_key: Oxford Datelist
: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: 'Douka K.  2019. Nature 565: 640-644.'
:bibtex_type: :misc
---
:bibtex_key: Oross 2013 SzÔøΩcsÔøΩnyi-Nagy 2015
:bibtex_type: :misc
---
:bibtex_key: 'Skerlj B. 1955. Journal of Anthropological Research: 10. Moreau L.  JHE
  78: 158-180.'
:bibtex_type: :misc
---
:bibtex_key: Sraka Diss
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1'
:bibtex_type: :misc
---
:bibtex_key: Oross 2016
:bibtex_type: :misc
---
:bibtex_key: Jakucs 2018
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC