Site type

Location

Coordinates (degrees)
055.010° N, 090.950° E
Coordinates (DMS)
055° 00' 00" E, 090° 57' 00" N
Country (ISO 3166)
Russian Federation (RU)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-68665 charcoal NA NA 26520±250 BP Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707. Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124 Bird et al. 2022
AA-68666 charcoal NA NA 25960±240 BP Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707. Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124 Bird et al. 2022
AA-68667 charcoal NA NA 25660±250 BP Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707. Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124 Bird et al. 2022
KN-2562 tooth NA NA 13200±400 BP Vermeersch2019 Bird et al. 2022
LE-3611 charcoal NA NA 22930±350 BP Vermeersch2019 Bird et al. 2022
LE-4700 charcoal NA NA 22900±480 BP Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707. Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124 Bird et al. 2022
LE-4701 charcoal NA NA 22930±480 BP Golovanova L. 1999. Current Anthropology 40 1: 77-87. Golovanova L. & Doronichev B. 2003. Journal of Word Prehistory 17: 71-140. Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011. PNAS Bird et al. 2022
LE-4796 charcoal NA NA 25440±450 BP Vermeersch2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707. Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124,
  
}
@misc{Vermeersch2019,
  
}
@misc{Golovanova L. 1999. Current Anthropology 40 1: 77-87. Golovanova L. & Doronichev B. 2003. Journal of Word Prehistory 17: 71-140. Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011. PNAS,
  
}
@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":"Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707. Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Golovanova L. 1999. Current Anthropology 40 1: 77-87. Golovanova L. & Doronichev B. 2003. Journal of Word Prehistory 17: 71-140. Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011. PNAS","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: 'Kuzmin Y.V. & Orlova L.A. 1998. Radiocarbon chronology of the Siberian
  Paleolithic. Journal of World Prehistory 12(1): 1-53. Graf K.E. 2009. JAS 36: 694-707.
  Kuzmin Y. Archaeol Anthropol Sci (2018) 10:111-124'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Golovanova L. 1999. Current Anthropology 40 1: 77-87. Golovanova L.
  & Doronichev B. 2003. Journal of Word Prehistory 17: 71-140. Adler D.S. 2008. JHE
  55: 817-833. Pinhasi R. 2011. PNAS'
: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