Site type

Location

Coordinates (degrees)
045.941° N, 015.433° E
Coordinates (DMS)
045° 56' 00" E, 015° 25' 00" N
Country (ISO 3166)
Slovenia (SI)

radiocarbon date Radiocarbon dates (14)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
OxA-15041 bone NA NA 5485±50 BP 6394–6196 cal BP Karkanas P. 2001. Geoarchaeology 16: 373-399. Galanidou 2000. Antiquity. Adam 2007 Paleo. Facorellis Y. 2013. Radiocarbon 55: 1432-1442. Bird et al. 2022
OxA-15072 bone NA NA 5365±31 BP 6276–6007 cal BP Bonsall et al. 2007 Bird et al. 2022
OxA-15073 bone NA NA 5369±31 BP 6278–6008 cal BP Bonsall et al. 2007 Bird et al. 2022
OxA-15074 bone NA NA 5416±35 BP 6293–6121 cal BP Silva_VanderLinden_2017 Bird et al. 2022
OxA-15091 bone NA NA 5421±30 BP 6290–6190 cal BP Bonsall et al. 2007 Bird et al. 2022
OxA-15092 bone NA NA 5436±30 BP 6293–6197 cal BP Bonsall et al. 2007 Bird et al. 2022
OxA-15093 bone NA NA 5389±30 BP 6284–6020 cal BP Bonsall et al. 2007 Bird et al. 2022
OxA-15094 bone NA NA 5405±31 BP 6288–6121 cal BP Bonsall et al. 2007 Bird et al. 2022
OxA-15095 bone NA NA 5471±31 BP 6307–6204 cal BP Silva_VanderLinden_2017 Bird et al. 2022
OxA-15119 bone NA NA 5340±36 BP 6269–6000 cal BP Silva_VanderLinden_2017 Bird et al. 2022
Z-1042 NA NA 5120±130 BP 6188–5596 cal BP Ehrich & Bankoff 1992 Bird et al. 2022
Z-1043 NA NA 5180±150 BP 6278–5604 cal BP Ehrich & Bankoff 1992 Bird et al. 2022
Z-1044 NA NA 5620±130 BP 6735–6121 cal BP Ehrich & Bankoff 1992 Bird et al. 2022
Z-1045 NA NA 5340±130 BP 6396–5765 cal BP Quitta & Kohl 1969: 234f. Boric 2011: 196 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Karkanas P. 2001. Geoarchaeology 16: 373-399. Galanidou  2000. Antiquity. Adam 2007 Paleo. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.,
  
}
@misc{Bonsall et al. 2007,
  
}
@misc{Silva_VanderLinden_2017,
  
}
@misc{Ehrich & Bankoff 1992,
  
}
@misc{Quitta & Kohl 1969: 234f. Boric 2011: 196,
  
}
@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":"Karkanas P. 2001. Geoarchaeology 16: 373-399. Galanidou  2000. Antiquity. Adam 2007 Paleo. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.","bibtex_type":"misc"}{"bibtex_key":"Bonsall et al. 2007","bibtex_type":"misc"}{"bibtex_key":"Silva_VanderLinden_2017","bibtex_type":"misc"}{"bibtex_key":"Ehrich & Bankoff 1992","bibtex_type":"misc"}{"bibtex_key":"Quitta & Kohl 1969: 234f. Boric 2011: 196","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: 'Karkanas P. 2001. Geoarchaeology 16: 373-399. Galanidou  2000. Antiquity.
  Adam 2007 Paleo. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.'
:bibtex_type: :misc
---
:bibtex_key: Bonsall et al. 2007
:bibtex_type: :misc
---
:bibtex_key: Silva_VanderLinden_2017
:bibtex_type: :misc
---
:bibtex_key: Ehrich & Bankoff 1992
:bibtex_type: :misc
---
:bibtex_key: 'Quitta & Kohl 1969: 234f. Boric 2011: 196'
: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