Site type

Location

Coordinates (degrees)
050.194° N, 019.775° E
Coordinates (DMS)
050° 11' 00" E, 019° 46' 00" N
Country (ISO 3166)
Poland (PL)

radiocarbon date Radiocarbon dates (40)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Gd-10569 bone NA NA 37600±1300 BP Vermeersch2019 Bird et al. 2022
GrN-2181 charcoal NA NA 38500±1240 BP Vermeersch2019 Bird et al. 2022
Poz-23655 bone NA NA 33000±400 BP Kozlowski J. & S. 1996. Le Paleolithique en Pologne. J. Millon: 110. Valde-Nowak P. 2014. QI xxx. Alex B. A. 2016. Establishing Contexts of Encounters: Doctoral dissertation Harvard University. Bird et al. 2022
Poz-56630 tooth NA NA 42000±1000 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56631 tooth NA NA 23900±200 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56633 tooth NA NA 35600±500 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56634 tooth NA NA 39400±700 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56635 bone Coelodonta antiquitatis Linty NA NA 23970±240 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56637 tooth NA NA 36370±450 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56638 tooth NA NA 39700±700 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56639 bone Coelodonta antiquitatis Linty NA NA 32550±600 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56640 tooth NA NA 33950±350 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-56744 bone Coelodonta antiquitatis Linty NA NA 28840±190 BP Richard I. e;a. 2017 Digging in the Mesolithic: 115-120 Bird et al. 2022
Poz-62267 tooth NA NA 28360±290 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-62269 tooth NA NA 37100±900 BP Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-62270 tooth NA NA 35400±700 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-62271 tooth NA NA 38300±900 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-62273 tooth NA NA 40300±1100 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-62274 tooth NA NA 36000±700 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022
Poz-62275 tooth NA NA 32300±500 BP Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T. Archaeometry 60 2 (2018) 383-401. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Vermeersch2019,
  
}
@misc{Kozlowski J. & S. 1996. Le Paleolithique en Pologne. J. Millon: 110. Valde-Nowak P. 2014. QI xxx.  Alex B. A. 2016. Establishing Contexts of Encounters: Doctoral dissertation Harvard University.,
  
}
@misc{Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.,
  
}
@misc{Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.,
  
}
@misc{Richard I. e;a. 2017 Digging in the Mesolithic: 115-120,
  
}
@misc{Vleminckx et al. 2014; Garcin et al. 2018,
  
}
@misc{Facorellis et al. 2010: 133 Table 3,
  
}
@misc{RAIKO 29th Aug_2018,
  
}
@misc{Lugo Enrich et al. 2015,
  
}
@misc{Oross et al. 2016,
  
}
@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":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Kozlowski J. & S. 1996. Le Paleolithique en Pologne. J. Millon: 110. Valde-Nowak P. 2014. QI xxx.  Alex B. A. 2016. Establishing Contexts of Encounters: Doctoral dissertation Harvard University.","bibtex_type":"misc"}{"bibtex_key":"Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.","bibtex_type":"misc"}{"bibtex_key":"Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.","bibtex_type":"misc"}{"bibtex_key":"Richard I. e;a. 2017 Digging in the Mesolithic: 115-120","bibtex_type":"misc"}{"bibtex_key":"Vleminckx et al. 2014; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Facorellis et al. 2010: 133 Table 3","bibtex_type":"misc"}{"bibtex_key":"RAIKO 29th Aug_2018","bibtex_type":"misc"}{"bibtex_key":"Lugo Enrich et al. 2015","bibtex_type":"misc"}{"bibtex_key":"Oross et al. 2016","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: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Kozlowski J. & S. 1996. Le Paleolithique en Pologne. J. Millon: 110.
  Valde-Nowak P. 2014. QI xxx.  Alex B. A. 2016. Establishing Contexts of Encounters:
  Doctoral dissertation Harvard University.'
:bibtex_type: :misc
---
:bibtex_key: Krajcarz M.T.  Archaeometry 60 2 (2018) 383-401.
:bibtex_type: :misc
---
:bibtex_key: 'Straus L.G. 1996. Continuity or Rupture. In: The Last Neanderthals.
  Flas D. 2008.Anthropologica et Praehistorica 119: 3-253. Krajcarz M.T.  Archaeometry
  60 2 (2018) 383-401.'
:bibtex_type: :misc
---
:bibtex_key: 'Richard I. e;a. 2017 Digging in the Mesolithic: 115-120'
:bibtex_type: :misc
---
:bibtex_key: Vleminckx et al. 2014; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: 'Facorellis et al. 2010: 133 Table 3'
:bibtex_type: :misc
---
:bibtex_key: RAIKO 29th Aug_2018
:bibtex_type: :misc
---
:bibtex_key: Lugo Enrich et al. 2015
:bibtex_type: :misc
---
:bibtex_key: Oross et al. 2016
: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