OxA-34636

radiocarbon date Radiocarbon date from Isturitz
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

Measurement

Age (uncal BP)
35050
Error (±)
650
Lab
NA
Method
NA
Sample material
bone Coelodonta antiquitatis Linty
Sample taxon
NA

Calibration

Calibration curve
IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP)
41428 - 38745

Context

Site
Isturitz
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (18)

@misc{Barshay-Szmidt  2018 JAS Reports 17: 809-838,
  
}
@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{Szmidt et al. 2010,
  
}
@misc{Zilhao and d'Errico 1999,
  
}
@misc{Szmidt et al. 2009b,
  
}
@misc{Szmidt C.C.  JAS 2009.11.006 Barshay-Szmidt  2018 JAS Reports 17: 809-838,
  
}
@misc{Arrizabalaga A. 2007- 2 008. VELEIA 24-25: 425-443,
  
}
@misc{Assoko Ndong 2001; Garcin et al. 2018,
  
}
@misc{Zilhao & d'Errico; 1999. Journal of World Prehistory 13: 1-.,
  
}
@misc{Leroy-Gourhan Arl. 1959. Bull. S.P.F. LVI nÔøΩ9-10:619-624. Henry_Gambier D. e. 2013. BSPF:645-656.,
  
}
@misc{Henry-Gambier D. e. a.. 2013. BSPF:645-656. Langlais M. 2015. BSPF 112: 5-58. Langlais M. 2015. BSPF 112: 5-58. Cattelain P. e. a. 2015. Paleo 26: 17-32.. Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.,
  
}
@misc{Andras M.  Acta Archaeologica Academiae Scientiarum Hungaricae 66 2015,
  
}
@misc{Vermeersch2019,
  
}
@misc{Leroy-Gourhan Arl. 1959. Bull. SP.F. LVI nÔøΩ9-10:619-624 Cattelain P.  2009 BSPF 106: 583-601 Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.,
  
}
@misc{Petillon J.-M.  2015. QI 364: 126-143. Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.,
  
}
@misc{Barshay-Szmidt  2018 JAS Reports 17: 809-838v,
  
}
@misc{Pettitt P; 1999. Oxford Journal of Archaeology 183: 217-241.,
  
}
@misc{J.V. Matthews Jr. p.c. 1978,
  
}
{"bibtex_key":"Barshay-Szmidt  2018 JAS Reports 17: 809-838","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":"Szmidt et al. 2010","bibtex_type":"misc"}{"bibtex_key":"Zilhao and d'Errico 1999","bibtex_type":"misc"}{"bibtex_key":"Szmidt et al. 2009b","bibtex_type":"misc"}{"bibtex_key":"Szmidt C.C.  JAS 2009.11.006 Barshay-Szmidt  2018 JAS Reports 17: 809-838","bibtex_type":"misc"}{"bibtex_key":"Arrizabalaga A. 2007- 2 008. VELEIA 24-25: 425-443","bibtex_type":"misc"}{"bibtex_key":"Assoko Ndong 2001; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Zilhao & d'Errico; 1999. Journal of World Prehistory 13: 1-.","bibtex_type":"misc"}{"bibtex_key":"Leroy-Gourhan Arl. 1959. Bull. S.P.F. LVI nÔøΩ9-10:619-624. Henry_Gambier D. e. 2013. BSPF:645-656.","bibtex_type":"misc"}{"bibtex_key":"Henry-Gambier D. e. a.. 2013. BSPF:645-656. Langlais M. 2015. BSPF 112: 5-58. Langlais M. 2015. BSPF 112: 5-58. Cattelain P. e. a. 2015. Paleo 26: 17-32.. Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.","bibtex_type":"misc"}{"bibtex_key":"Andras M.  Acta Archaeologica Academiae Scientiarum Hungaricae 66 2015","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Leroy-Gourhan Arl. 1959. Bull. SP.F. LVI nÔøΩ9-10:619-624 Cattelain P.  2009 BSPF 106: 583-601 Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.","bibtex_type":"misc"}{"bibtex_key":"Petillon J.-M.  2015. QI 364: 126-143. Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.","bibtex_type":"misc"}{"bibtex_key":"Barshay-Szmidt  2018 JAS Reports 17: 809-838v","bibtex_type":"misc"}{"bibtex_key":"Pettitt P; 1999. Oxford Journal of Archaeology 183: 217-241.","bibtex_type":"misc"}{"bibtex_key":"J.V. Matthews Jr. p.c. 1978","bibtex_type":"misc"}
---
:bibtex_key: 'Barshay-Szmidt  2018 JAS Reports 17: 809-838'
: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: Szmidt et al. 2010
:bibtex_type: :misc
---
:bibtex_key: Zilhao and d'Errico 1999
:bibtex_type: :misc
---
:bibtex_key: Szmidt et al. 2009b
:bibtex_type: :misc
---
:bibtex_key: 'Szmidt C.C.  JAS 2009.11.006 Barshay-Szmidt  2018 JAS Reports 17: 809-838'
:bibtex_type: :misc
---
:bibtex_key: 'Arrizabalaga A. 2007- 2 008. VELEIA 24-25: 425-443'
:bibtex_type: :misc
---
:bibtex_key: Assoko Ndong 2001; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: 'Zilhao & d''Errico; 1999. Journal of World Prehistory 13: 1-.'
:bibtex_type: :misc
---
:bibtex_key: Leroy-Gourhan Arl. 1959. Bull. S.P.F. LVI nÔøΩ9-10:619-624. Henry_Gambier
  D. e. 2013. BSPF:645-656.
:bibtex_type: :misc
---
:bibtex_key: 'Henry-Gambier D. e. a.. 2013. BSPF:645-656. Langlais M. 2015. BSPF 112:
  5-58. Langlais M. 2015. BSPF 112: 5-58. Cattelain P. e. a. 2015. Paleo 26: 17-32..
  Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.'
:bibtex_type: :misc
---
:bibtex_key: Andras M.  Acta Archaeologica Academiae Scientiarum Hungaricae 66 2015
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Leroy-Gourhan Arl. 1959. Bull. SP.F. LVI nÔøΩ9-10:619-624 Cattelain
  P.  2009 BSPF 106: 583-601 Barshay-Szmidt C.  Quaternary International 414 (2016)
  62-91.'
:bibtex_type: :misc
---
:bibtex_key: 'Petillon J.-M.  2015. QI 364: 126-143. Barshay-Szmidt C.  Quaternary
  International 414 (2016) 62-91.'
:bibtex_type: :misc
---
:bibtex_key: 'Barshay-Szmidt  2018 JAS Reports 17: 809-838v'
:bibtex_type: :misc
---
:bibtex_key: 'Pettitt P; 1999. Oxford Journal of Archaeology 183: 217-241.'
:bibtex_type: :misc
---
:bibtex_key: J.V. Matthews Jr. p.c. 1978
:bibtex_type: :misc

Changelog