Site type

Location

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

radiocarbon date Radiocarbon dates (32)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
IGAN-2802 central profile 8.55–8.59 m Charcoal NA NA 6050±140 BP Junacite 2007: 234 Table 1
IGAN-2801 central profile 7.08–7.40 m Charcoal NA NA 5890±90 BP Junacite 2007: 234 Table 1
IGAN-2943 skeleton 66 Human bone Homo sapiens NA 5520±160 BP Junacite 2007: 234 Table 1; 238: "absence of reservoir effect"
IGAN-2796 central profile 5.30 m Charcoal NA NA 5650±90 BP Junacite 2007: 234 Table 1
IGAN-2797 central profile 5.52 m Charcoal NA NA 5560±70 BP Junacite 2007: 234 Table 1
IGAN-2800 central profile 5.37–5.41 m Charcoal NA NA 5460±170 BP Junacite 2007: 234 Table 1
IGAN-2793 central profile 5.45 m Charcoal NA NA 5410±70 BP Junacite 2007: 234 Table 1
IGAN-2944 skeleton 72 Human bone Homo sapiens NA 5380±130 BP Junacite 2007: 234 Table 1; 238: "absence of reservoir effect"
Ly-14794 Sq. S6, 5, 44 Charcoal NA NA 5725±40 BP Maniatis et al. 2016: Table 1
Lyon-5996 SacA-15565 Exc. 25/7/97, layer B Charcoal NA NA 5630±30 BP Maniatis et al. 2016: Table 1
Ly-14792 Sq. T6, 4, 21 Charcoal NA NA 5610±40 BP Maniatis et al. 2016: Table 1
Lyon-5998 SacA-15567 Sq. E8, 3, 55 Charcoal NA NA 5585±35 BP Maniatis et al. 2016: Table 1
Lyon-5997 SacA-15566 Exc. 25/7/97, layer B Grains NA NA 5560±30 BP Maniatis et al. 2016: Table 1
Lyon-5999 SacA-15568 1992-4, skeleton 82 Human teeth NA NA 5560±45 BP Maniatis et al. 2016: Table 1
Ly-14793 Sq. F9, 5, 13 Charcoal NA NA 5515±35 BP Maniatis et al. 2016: Table 1
Ly-14795 Sq. K7-8, House 34 Grains NA NA 4280±40 BP Maniatis et al. 2016: Table 1
IGAN-2793 Charcoal NA NA 5410±70 BP Junacite 2007: 234 Table 1 Bird et al. 2022
IGAN-2796 Charcoal NA NA 5650±90 BP Junacite 2007: 234 Table 1 Bird et al. 2022
IGAN-2797 Charcoal NA NA 5560±70 BP Junacite 2007: 234 Table 1 Bird et al. 2022
IGAN-2800 Charcoal NA NA 5460±170 BP Junacite 2007: 234 Table 1 Bird et al. 2022

typological date Typological dates (16)

Classification Estimated age References
Karanovo V NA Junacite 2007: 234 Table 1
KGK VI NA Junacite 2007: 234 Table 1
KGK VI NA Junacite 2007: 234 Table 1; 238: "absence of reservoir effect"
KGK VI NA Junacite 2007: 234 Table 1
KGK VI NA Junacite 2007: 234 Table 1
KGK VI NA Junacite 2007: 234 Table 1
KGK VI NA Junacite 2007: 234 Table 1
KGK VI NA Junacite 2007: 234 Table 1; 238: "absence of reservoir effect"
Karanovo VI NA Maniatis et al. 2016: Table 1
Karanovo VI NA Maniatis et al. 2016: Table 1
Karanovo VI NA Maniatis et al. 2016: Table 1
Karanovo VI NA Maniatis et al. 2016: Table 1
Karanovo VI NA Maniatis et al. 2016: Table 1
Karanovo VI NA Maniatis et al. 2016: Table 1
Karanovo VI NA Maniatis et al. 2016: Table 1
Ezero NA Maniatis et al. 2016: Table 1

Bibliographic reference Bibliographic references

@misc{Junacite 2007: 234 Table 1,
  
}
@misc{Junacite 2007: 234 Table 1; 238: "absence of reservoir effect",
  
}
@misc{Maniatis et al. 2016: Table 1,
  
}
@misc{Junacite 2007: 234 Table 1; 238: absence of reservoir effect,
  
}
@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":"Junacite 2007: 234 Table 1","bibtex_type":"misc"}{"bibtex_key":"Junacite 2007: 234 Table 1; 238: \"absence of reservoir effect\"","bibtex_type":"misc"}{"bibtex_key":"Maniatis et al. 2016: Table 1","bibtex_type":"misc"}{"bibtex_key":"Junacite 2007: 234 Table 1; 238: absence of reservoir effect","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: 'Junacite 2007: 234 Table 1'
:bibtex_type: :misc
---
:bibtex_key: 'Junacite 2007: 234 Table 1; 238: "absence of reservoir effect"'
:bibtex_type: :misc
---
:bibtex_key: 'Maniatis et al. 2016: Table 1'
:bibtex_type: :misc
---
:bibtex_key: 'Junacite 2007: 234 Table 1; 238: absence of reservoir effect'
: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