Site type

Location

Coordinates (degrees)
044.800° N, 020.600° E
Coordinates (DMS)
044° 48' 00" E, 020° 36' 00" N
Country (ISO 3166)
Serbia (RS)

radiocarbon date Radiocarbon dates (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrN-13155 Charcoal NA NA 6470±170 BP Boric 2015: 216–7 Groningen 14C database Bird et al. 2022
GrN-13156 Charcoal NA NA 6010±150 BP Boric 2015: 216–7 Groningen 14C database Bird et al. 2022
GrN-13157 Charcoal NA NA 6240±45 BP Boric 2015: 216–7 Groningen 14C database Bird et al. 2022
GrN-1535 Charcoal NA NA 6170±85 BP Boric 2015: 216–7 Bird et al. 2022
GrN-1537 Charred grain (mostly charcoal) NA NA 5845±160 BP Vogel & Waterbolk 1963: 184 Bird et al. 2022
Hd-14110 Red deer antler NA NA 6149±63 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-14184 Red deer antler NA NA 6249±31 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-14235 Red deer antler NA NA 6264±22 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-16636 Red deer antler NA NA 6180±40 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-16639 Red deer antler NA NA 6081±68 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-16661 Red deer antler NA NA 6353±66 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-16733 Red deer antler NA NA 6293±79 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-16864 Red deer antler NA NA 6145±34 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-17374 Mammal bone NA NA 5855±27 BP Schier 1996: Table 1 Boric 2009: 199 Table 5 Bird et al. 2022
Hd-17674 Red deer antler NA NA 6198±51 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
Hd-17776 Red deer antler NA NA 6259±47 BP Schier 1996: Table 1 Boric 2015: 216–7 Bird et al. 2022
OxA-15996 Human skull adult NA NA 6620±45 BP Boric 2015: 216–7 Bird et al. 2022
OxA-16597 Bos taurus metatarsal NA NA 5728±34 BP Boric 2009 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Boric 2015: 216–7 Groningen 14C database,
  
}
@misc{Boric 2015: 216–7,
  
}
@misc{Vogel & Waterbolk 1963: 184,
  
}
@misc{Schier 1996: Table 1 Boric 2015: 216–7,
  
}
@misc{Schier 1996: Table 1 Boric 2009: 199 Table 5,
  
}
@misc{Boric 2009,
  
}
@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":"Boric 2015: 216–7 Groningen 14C database","bibtex_type":"misc"}{"bibtex_key":"Boric 2015: 216–7","bibtex_type":"misc"}{"bibtex_key":"Vogel & Waterbolk 1963: 184","bibtex_type":"misc"}{"bibtex_key":"Schier 1996: Table 1 Boric 2015: 216–7","bibtex_type":"misc"}{"bibtex_key":"Schier 1996: Table 1 Boric 2009: 199 Table 5","bibtex_type":"misc"}{"bibtex_key":"Boric 2009","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: 'Boric 2015: 216–7 Groningen 14C database'
:bibtex_type: :misc
---
:bibtex_key: 'Boric 2015: 216–7'
:bibtex_type: :misc
---
:bibtex_key: 'Vogel & Waterbolk 1963: 184'
:bibtex_type: :misc
---
:bibtex_key: 'Schier 1996: Table 1 Boric 2015: 216–7'
:bibtex_type: :misc
---
:bibtex_key: 'Schier 1996: Table 1 Boric 2009: 199 Table 5'
:bibtex_type: :misc
---
:bibtex_key: Boric 2009
: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