Varna Cemetery

Location

Coordinates (degrees): NA
Coordinates (DMS): NA
Country (ISO 3166 ): Bulgaria (BG)

Lab ID	Context	Material	Taxon	Method	Uncalibrated age	References
MAMS-15093	Burial 27	Dentalium	NA	NA	6158±24 BP	Krauß et al. 2016: 283 Table 2
MAMS-15094	Burial 41	Dentalium	NA	NA	6118±24 BP	Krauß et al. 2016: 283 Table 2
OxA-13865	Burial 111	Human bone	Homo sapiens	NA	5855±34 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13688	Burial 158	Human bone	Homo sapiens	NA	5787±30 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13848	Burial 117	Human bone	Homo sapiens	NA	5766±36 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13846	Burial 111	Animal bone	NA	NA	5757±34 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13254	Burial 255	Human bone	Homo sapiens	NA	5732±33 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13685	Burial 43	Human bone	Homo sapiens	NA	5720±29 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13251	Burial 112	Human bone	Homo sapiens	NA	5702±32 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13690	Burial 143	Human bone	Homo sapiens	NA	5700±30 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13253	Burial 125	Human bone	Homo sapiens	NA	5685±33 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13689	Burial 143	Human bone	Homo sapiens	NA	5690±32 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13252	Burial 121	Human bone	Homo sapiens	NA	5672±34 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13691	Burial 215	Human bone	Homo sapiens	NA	5668±32 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
MAMS-15095	Burial 43	Human bone	Homo sapiens	NA	5662±27 BP	Krauß et al. 2016: 283 Table 2
OxA-13694	Burial 137	Human bone	Homo sapiens	NA	5654±36 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13692	Burial 44	Human bone	Homo sapiens	NA	5657±30 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13693	Burial 225	Human bone	Homo sapiens	NA	5660±29 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13686	Burial 11	Human bone	Homo sapiens	NA	5639±32 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
OxA-13250	Burial 94	Human bone	Homo sapiens	NA	5626±31 BP	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix

Classification	Estimated age	References
Varna	NA	Krauß et al. 2016: 283 Table 2
Varna	NA	Krauß et al. 2016: 283 Table 2
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Krauß et al. 2016: 283 Table 2
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix
Varna	NA	Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix

Bibliographic references

No bibliographic information available. [Krauß et al. 2016: 283 Table 2]
No bibliographic information available. [Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix]
No bibliographic information available. [Higham et al. 2008: 95–114 Higham et al. 2007: 640–654 Reingruber 2015: Appendix]
http://www.14sea.org/ [14SEA]
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{Krauß et al. 2016: 283 Table 2,
  
}
@misc{Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix,
  
}
@misc{Higham et al. 2008: 95–114 Higham et al. 2007: 640–654 Reingruber 2015: Appendix,
  
}
@misc{14SEA,
  url = {http://www.14sea.org/},
  note = {Reingruber, A., and Thissen, L. (2017). The 14SEA Project: A 14C database for Southeast Europe and Anatolia (10,000–3000 calBC). Updated 2017-01-31. http://www.14sea.org/index.html}
}
@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":"Krauß et al. 2016: 283 Table 2","bibtex_type":"misc"}{"bibtex_key":"Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber 2015: Appendix","bibtex_type":"misc"}{"bibtex_key":"Higham et al. 2008: 95–114 Higham et al. 2007: 640–654 Reingruber 2015: Appendix","bibtex_type":"misc"}[{"bibtex_key":"14SEA","bibtex_type":"misc","url":"{http://www.14sea.org/}","note":"{Reingruber, A., and Thissen, L. (2017). The 14SEA Project: A 14C database for Southeast Europe and Anatolia (10,000–3000 calBC). Updated 2017-01-31. http://www.14sea.org/index.html}"}][{"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: 'Krauß et al. 2016: 283 Table 2'
:bibtex_type: :misc
---
:bibtex_key: 'Higham et al. 2008: 95–114, Higham et al. 2007: 640–654, Reingruber
  2015: Appendix'
:bibtex_type: :misc
---
:bibtex_key: 'Higham et al. 2008: 95–114 Higham et al. 2007: 640–654 Reingruber 2015:
  Appendix'
:bibtex_type: :misc
---
- :bibtex_key: 14SEA
  :bibtex_type: :misc
  :url: "{http://www.14sea.org/}"
  :note: "{Reingruber, A., and Thissen, L. (2017). The 14SEA Project: A 14C database
    for Southeast Europe and Anatolia (10,000–3000 calBC). Updated 2017-01-31. http://www.14sea.org/index.html}"
---
- :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 (50)

Typological dates (25)

Bibliographic references

Changelog

Imported from source database via c14bazAAR