Boltyshevo (Tavda)

Location

Coordinates (degrees): 057.667° N, 058.335° E
Coordinates (DMS): 057° 40' 00" E, 058° 20' 00" N
Country (ISO 3166 ): Russian Federation (RU)

Lab ID	Material	Taxon	Method	Uncalibrated age	References
GIN-8404	bone	NA	NA	38200±900 BP	Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Paris. Soffer O. 1985. The Upper Paleolithic of the Central Russian Plain. Gavrilov K.N. 2015. QI 359-360: 335-345. Bird et al. 2022
SOAN-5591	bone Coelodonta antiquitatis	NA	NA	25850±495 BP	Chlachula J. 2010 .QI 220: 41-63. Bird et al. 2022
SOAN-5593	bone	NA	NA	25970±395 BP	Chlachula J. 2010. Boreas DOI 10.1111/j.1502-3885.2010.00166.x Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Paris. Soffer O. 1985. The Upper Paleolithic of the Central Russian Plain. Gavrilov K.N. 2015. QI 359-360: 335-345.]
No bibliographic information available. [Chlachula J. 2010 .QI 220: 41-63.]
No bibliographic information available. [Chlachula J. 2010. Boreas DOI 10.1111/j.1502-3885.2010.00166.x]
Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]

@misc{Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Paris. Soffer O. 1985. The Upper Paleolithic of the Central Russian Plain. Gavrilov K.N.  2015. QI 359-360: 335-345.,
  
}
@misc{Chlachula J. 2010 .QI 220: 41-63.,
  
}
@misc{Chlachula J. 2010. Boreas DOI 10.1111/j.1502-3885.2010.00166.x,
  
}
@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":"Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Paris. Soffer O. 1985. The Upper Paleolithic of the Central Russian Plain. Gavrilov K.N.  2015. QI 359-360: 335-345.","bibtex_type":"misc"}{"bibtex_key":"Chlachula J. 2010 .QI 220: 41-63.","bibtex_type":"misc"}{"bibtex_key":"Chlachula J. 2010. Boreas DOI 10.1111/j.1502-3885.2010.00166.x","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: 'Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur
  en Europe. Paris. Soffer O. 1985. The Upper Paleolithic of the Central Russian Plain.
  Gavrilov K.N.  2015. QI 359-360: 335-345.'
:bibtex_type: :misc
---
:bibtex_key: 'Chlachula J. 2010 .QI 220: 41-63.'
:bibtex_type: :misc
---
:bibtex_key: Chlachula J. 2010. Boreas DOI 10.1111/j.1502-3885.2010.00166.x
: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

Imported from source database via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC

Location

Radiocarbon dates (3)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR