Site type

Location

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

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
KN-5769 Sound. 3, pit 1 Charcoal NA NA 6370±40 BP 7421–7171 cal BP Krauß 2014: 293 Fig. 209
KN-5769 Charcoal NA NA 6370±40 BP 7421–7171 cal BP Krauß 2014: 293 Fig. 209 Bird et al. 2022
KN-5768 Charcoal NA NA 6305±35 BP 7280–7161 cal BP Krauß 2014: 293 Fig. 209 Bird et al. 2022
KN-5768 Sound. 1, Qu. 23, pit 3, 1.92 m depth Charcoal NA NA 6305±35 BP 7280–7161 cal BP Krauß 2014: 293 Fig. 209
KN-5767 Sound. 1, Qu. 23, pit 3, 1.6 m depth Charcoal NA NA 6055±40 BP 7146–6792 cal BP Krauß 2014: 293 Fig. 209
KN-5767 Charcoal NA NA 6055±40 BP 7146–6792 cal BP Krauß 2014: 293 Fig. 209 Bird et al. 2022
KN-5766 Sound. 1, Qu. 23, pit 3, 1.6 m depth Charcoal NA NA 6195±40 BP 7243–6985 cal BP Krauß 2014: 293 Fig. 209
KN-5766 Charcoal NA NA 6195±40 BP 7243–6985 cal BP Krauß 2014: 293 Fig. 209 Bird et al. 2022

typological date Typological dates (4)

Classification Estimated age References
LN, Hotnica culture NA Krauß 2014: 293 Fig. 209
LN, Hotnica culture NA Krauß 2014: 293 Fig. 209
LN, Hotnica culture NA Krauß 2014: 293 Fig. 209
LN, Hotnica culture NA Krauß 2014: 293 Fig. 209

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Krauß 2014: 293 Fig. 209]
  • 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 2014: 293 Fig. 209,
  
}
@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 2014: 293 Fig. 209","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 2014: 293 Fig. 209'
: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