Site type

Location

Coordinates (degrees)
052.970° N, 091.440° E
Coordinates (DMS)
052° 58' 00" E, 091° 26' 00" N
Country (ISO 3166)
Russian Federation (RU)

radiocarbon date Radiocarbon dates (5)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-38054 NA bone NA NA 17690±210 BP 22021–20895 cal BP Kuzmin Y. K. 2008. J Archaeol Res16:163-221. Graf K.E. 2009. JAS 36: 694-707. Bird et al. 2022
LE-3358 NA bone NA NA 16760±120 BP 20505–19943 cal BP Kuzmin Y. K. 2008. J Archaeol Res16:163-221. Graf K.E. 2009. JAS 36: 694-707. Bird et al. 2022
LE-3359 NA bone NA NA 17520±130 BP 21695–20840 cal BP Abramova e. a. 2001. Radiocarbon 43: 1077. Gribchenko Y. 2006. QI 152-153: 164-174. Bird et al. 2022
LE-4257 NA bone NA NA 19280±200 BP 23765–22922 cal BP Dolukhanov and Romanovka 1970 Dolukhanov and Timofeev 1972 Chataigner 1995 Bird et al. 2022
OxA-25772 NA charcoal NA NA 11750±50 BP 13752–13500 cal BP BronkRamseyHigham.2015AMS35 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{BronkRamseyHigham.2015AMS35,
  
}
@misc{Kuzmin Y. K. 2008. J Archaeol Res16:163-221. Graf K.E. 2009. JAS 36: 694-707.,
  
}
@misc{Abramova e. a. 2001. Radiocarbon 43: 1077. Gribchenko Y. 2006. QI 152-153: 164-174.,
  
}
@misc{Dolukhanov and Romanovka 1970 Dolukhanov and Timofeev 1972 Chataigner 1995,
  
}
@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":"BronkRamseyHigham.2015AMS35","bibtex_type":"misc"}{"bibtex_key":"Kuzmin Y. K. 2008. J Archaeol Res16:163-221. Graf K.E. 2009. JAS 36: 694-707.","bibtex_type":"misc"}{"bibtex_key":"Abramova e. a. 2001. Radiocarbon 43: 1077. Gribchenko Y. 2006. QI 152-153: 164-174.","bibtex_type":"misc"}{"bibtex_key":"Dolukhanov and Romanovka 1970 Dolukhanov and Timofeev 1972 Chataigner 1995","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: BronkRamseyHigham.2015AMS35
:bibtex_type: :misc
---
:bibtex_key: 'Kuzmin Y. K. 2008. J Archaeol Res16:163-221. Graf K.E. 2009. JAS 36:
  694-707.'
:bibtex_type: :misc
---
:bibtex_key: 'Abramova e. a. 2001. Radiocarbon 43: 1077. Gribchenko Y. 2006. QI 152-153:
  164-174.'
:bibtex_type: :misc
---
:bibtex_key: Dolukhanov and Romanovka 1970 Dolukhanov and Timofeev 1972 Chataigner
  1995
: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