Site type

Location

Coordinates (degrees)
043.563° N, 016.235° E
Coordinates (DMS)
043° 33' 00" E, 016° 14' 00" N
Country (ISO 3166)
Croatia (HR)

radiocarbon date Radiocarbon dates (14)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-393072 charcoal NA NA 40310±510 BP Rink 2002. JAS 29: 943-952. Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta393073-1 bone Coelodonta antiquitatis Linty NA NA 24350±100 BP Rink 2002. JAS 29: 943-952. Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta393073-2 bone Coelodonta antiquitatis Linty NA NA 28400±150 BP Rink 2002. JAS 29: 943-952. Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta-393074 bone NA NA 28710±150 BP Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta393075-1 bone NA NA 33050±230 BP Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta393075-2 bone NA NA 45180±800 BP Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta393075-3 bone NA NA 47880±1800 BP Boschian 2017. QI 450: 12-15. Bird et al. 2022
Beta393076-1 bone NA NA 24850±100 BP Boschian 2017. QI 450: 12-15. Bird et al. 2022
GrA-9633 bone Coelodonta antiquitatis Linty NA NA 39200±1230 BP Rink 2002. JAS 29: 943-952. Bird et al. 2022
GrA-9634 bone Coelodonta antiquitatis Linty NA NA 40460±1470 BP Rink 2002. JAS 29: 943-952.. Boschian 2017. QI 450: 12-15. Bird et al. 2022
GrA-9635 bone Coelodonta antiquitatis Linty NA NA 45170±2780 BP Rink 2002. JAS 29: 943-952. Bird et al. 2022
GrA-9636 bone Coelodonta antiquitatis Linty NA NA 40430±1440 BP Rink 2002. JAS 29: 943-952. Boschian 2017. QI 450: 12-15. Bird et al. 2022
GrA-9639 bone Coelodonta antiquitatis Linty NA NA 41820±1740 BP LÔøΩonova. N.B. Eraul 52 1991: 17-19. Sapozhnikov I. 2005 Bird et al. 2022
OxA-8150 charcoal NA NA 34200±500 BP Vermeersch2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Rink  2002. JAS 29: 943-952. Boschian  2017. QI 450: 12-15.,
  
}
@misc{Boschian  2017. QI 450: 12-15.,
  
}
@misc{Rink  2002. JAS 29: 943-952.,
  
}
@misc{Rink  2002. JAS 29: 943-952.. Boschian  2017. QI 450: 12-15.,
  
}
@misc{LÔøΩonova. N.B.  Eraul 52 1991: 17-19.  Sapozhnikov I. 2005,
  
}
@misc{Vermeersch2019,
  
}
@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":"Rink  2002. JAS 29: 943-952. Boschian  2017. QI 450: 12-15.","bibtex_type":"misc"}{"bibtex_key":"Boschian  2017. QI 450: 12-15.","bibtex_type":"misc"}{"bibtex_key":"Rink  2002. JAS 29: 943-952.","bibtex_type":"misc"}{"bibtex_key":"Rink  2002. JAS 29: 943-952.. Boschian  2017. QI 450: 12-15.","bibtex_type":"misc"}{"bibtex_key":"LÔøΩonova. N.B.  Eraul 52 1991: 17-19.  Sapozhnikov I. 2005","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","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: 'Rink  2002. JAS 29: 943-952. Boschian  2017. QI 450: 12-15.'
:bibtex_type: :misc
---
:bibtex_key: 'Boschian  2017. QI 450: 12-15.'
:bibtex_type: :misc
---
:bibtex_key: 'Rink  2002. JAS 29: 943-952.'
:bibtex_type: :misc
---
:bibtex_key: 'Rink  2002. JAS 29: 943-952.. Boschian  2017. QI 450: 12-15.'
:bibtex_type: :misc
---
:bibtex_key: 'LÔøΩonova. N.B.  Eraul 52 1991: 17-19.  Sapozhnikov I. 2005'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
: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