Site type

Location

Coordinates (degrees)
050.056° N, 019.906° E
Coordinates (DMS)
050° 03' 00" E, 019° 54' 00" N
Country (ISO 3166)
Poland (PL)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Poz-27375 bone NA NA 24690±230 BP Kienlin et al. 2010 233 Abb. 48 Bird et al. 2022
Poz-48405 bone NA NA 24680±200 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-48406 bone NA NA 24480±190 BP Sobczyk K. 1995 Osadnictwo Wschodniograweckie w Dolinie Wisly pod Krakowem Wilczynski J. J.A.S. ip Wojtal P. 2015 ISEA PAS: 106 Bird et al. 2022
Poz-51329 tooth NA NA 20770±120 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51330 tooth NA NA 24350±160 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51333 bone NA NA 20360±110 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51334 bone NA NA 19840±100 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51373 bone NA NA 22090±110 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51374 bone NA NA 22740±120 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51375 bone NA NA 18950±90 BP Wilczynski J. 2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106 Bird et al. 2022
Poz-51416 tooth NA NA 24150±150 BP Skredla P. 2016. UDK903.4(477.84) 6325. Bird et al. 2022
Poz-51593 bone NA NA 22010±140 BP Skrdla P. 2016 QI. Ip. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Kienlin et al. 2010 233 Abb. 48,
  
}
@misc{Wilczynski J.  2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106,
  
}
@misc{Sobczyk K. 1995 Osadnictwo Wschodniograweckie w Dolinie Wisly pod Krakowem Wilczynski J.   J.A.S. ip Wojtal P.  2015 ISEA PAS: 106,
  
}
@misc{Skredla P.  2016. UDK903.4(477.84) 6325.,
  
}
@misc{Skrdla P. 2016 QI. Ip.,
  
}
@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":"Kienlin et al. 2010 233 Abb. 48","bibtex_type":"misc"}{"bibtex_key":"Wilczynski J.  2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106","bibtex_type":"misc"}{"bibtex_key":"Sobczyk K. 1995 Osadnictwo Wschodniograweckie w Dolinie Wisly pod Krakowem Wilczynski J.   J.A.S. ip Wojtal P.  2015 ISEA PAS: 106","bibtex_type":"misc"}{"bibtex_key":"Skredla P.  2016. UDK903.4(477.84) 6325.","bibtex_type":"misc"}{"bibtex_key":"Skrdla P. 2016 QI. Ip.","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: Kienlin et al. 2010 233 Abb. 48
:bibtex_type: :misc
---
:bibtex_key: 'Wilczynski J.  2015. QI 359-360: 96-113. Wojtal P.. 2015 iSEA PAS: 106'
:bibtex_type: :misc
---
:bibtex_key: 'Sobczyk K. 1995 Osadnictwo Wschodniograweckie w Dolinie Wisly pod Krakowem
  Wilczynski J.   J.A.S. ip Wojtal P.  2015 ISEA PAS: 106'
:bibtex_type: :misc
---
:bibtex_key: Skredla P.  2016. UDK903.4(477.84) 6325.
:bibtex_type: :misc
---
:bibtex_key: Skrdla P. 2016 QI. Ip.
: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