Site type

Location

Coordinates (degrees)
070.717° N, 135.417° E
Coordinates (DMS)
070° 43' 00" E, 135° 25' 00" N
Country (ISO 3166)
Russian Federation (RU)

radiocarbon date Radiocarbon dates (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GIN-11464 bone NA NA 27800±500 BP 33203–31065 cal BP Pitulko C. e. a. 2004. Science 303: 45-66. Bird et al. 2022
LE-8505 plant macro remains/grass NA NA 27740±200 BP 31995–31241 cal BP Bojadziev 1998 Bird et al. 2022
LE-8565 bone Coelodonta antiquitatis Linty NA NA 28400±430 BP 33805–31572 cal BP Basilyan A.E. 2011. JAS 38: 2461-2474. Bird et al. 2022
LE-8568 bone Coelodonta antiquitatis Linty NA NA 28200±400 BP 33415–31305 cal BP Basilyan A.E. 2011. JAS 38: 2461-2474. Bird et al. 2022
LE-8572 bone Coelodonta antiquitatis Linty NA NA 27200±1200 BP 34100–29169 cal BP Basilyan A.E. 2011. JAS 38: 2461-2474. Bird et al. 2022
LE-8573 bone Coelodonta antiquitatis Linty NA NA 28900±900 BP 34800–31202 cal BP Basilyan A.E. 2011. JAS 38: 2461-2474. Bird et al. 2022
LE-8574 bone Coelodonta antiquitatis Linty NA NA 28600±800 BP 34384–31225 cal BP Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the SiberianPaleolithic. Journal of World Prehistory 12(1): 1-53. Bird et al. 2022
LE-8644 bone Coelodonta antiquitatis Linty NA NA 25100±1000 BP 31098–27495 cal BP Kitagawa K. 2018 QI 465: 192-209 Bird et al. 2022
LE-8650 bone Coelodonta antiquitatis Linty NA NA 27600±600 BP 33310–30440 cal BP Pitulko C. e. a. 2004. Science 303: 45-66. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Pitulko C. e. a. 2004. Science 303: 45-66.,
  
}
@misc{Bojadziev 1998,
  
}
@misc{Basilyan A.E.   2011. JAS 38: 2461-2474.,
  
}
@misc{Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the SiberianPaleolithic. Journal of World Prehistory 12(1): 1-53.,
  
}
@misc{Kitagawa K.  2018 QI 465: 192-209,
  
}
@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":"Pitulko C. e. a. 2004. Science 303: 45-66.","bibtex_type":"misc"}{"bibtex_key":"Bojadziev 1998","bibtex_type":"misc"}{"bibtex_key":"Basilyan A.E.   2011. JAS 38: 2461-2474.","bibtex_type":"misc"}{"bibtex_key":"Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the SiberianPaleolithic. Journal of World Prehistory 12(1): 1-53.","bibtex_type":"misc"}{"bibtex_key":"Kitagawa K.  2018 QI 465: 192-209","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: 'Pitulko C. e. a. 2004. Science 303: 45-66.'
:bibtex_type: :misc
---
:bibtex_key: Bojadziev 1998
:bibtex_type: :misc
---
:bibtex_key: 'Basilyan A.E.   2011. JAS 38: 2461-2474.'
:bibtex_type: :misc
---
:bibtex_key: 'Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the SiberianPaleolithic.
  Journal of World Prehistory 12(1): 1-53.'
:bibtex_type: :misc
---
:bibtex_key: 'Kitagawa K.  2018 QI 465: 192-209'
: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}"

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