SacA-27819

Radiocarbon date from Karanovo, c. 5302–4979 cal BP

Record created in XRONOS on 2022-12-02 00:50:45 UTC. Last updated on 2022-12-02 00:50:45 UTC. See changelog for details.
Contributors: XRONOS development team

Measurement

Age (uncal BP): 4490
Error (±): 40
Lab: NA
Method: NA
Sample material: bone
Sample taxon: NA

Calibration

Calibration curve

IntCal20 (Reimer et al. 2020)

Calibrated age (2σ, cal BP)

5302–5035
5007–4979

Context

Site: Karanovo
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (8)

No bibliographic information available. [Nikolov 2016]
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]
No bibliographic information available. [Görsdorf 1996]
No bibliographic information available. [Breunig 1987, 113; Görsdorf/Bojadziev 1996]
No bibliographic information available. [Görsdorf/Bojadziev 1996]
No bibliographic information available. [Heimlich et al. 2013: 1387 Tab. 1; Clist 2018: 239 Tab. 18.2]
No bibliographic information available. [Valladas 2005. BSPF 102:109-113. Gonzalez J. . 2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001. J. Combier 2012. QuartÔøΩr 59: 131-152. Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675.]
No bibliographic information available. [Quiles A. 2014. Radiocarbon 56: 833-850.]

@misc{Nikolov 2016,
  
}
@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}
}
@misc{Görsdorf 1996,
  
}
@misc{Breunig 1987, 113; Görsdorf/Bojadziev 1996,
  
}
@misc{Görsdorf/Bojadziev 1996,
  
}
@misc{Heimlich et al. 2013: 1387 Tab. 1; Clist 2018: 239 Tab. 18.2,
  
}
@misc{Valladas  2005. BSPF 102:109-113. Gonzalez J. .  2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001. J. Combier  2012. QuartÔøΩr 59:  131-152. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.,
  
}
@misc{Quiles A.  2014. Radiocarbon 56: 833-850.,
  
}

{"bibtex_key":"Nikolov 2016","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":"Görsdorf 1996","bibtex_type":"misc"}{"bibtex_key":"Breunig 1987, 113; Görsdorf/Bojadziev 1996","bibtex_type":"misc"}{"bibtex_key":"Görsdorf/Bojadziev 1996","bibtex_type":"misc"}{"bibtex_key":"Heimlich et al. 2013: 1387 Tab. 1; Clist 2018: 239 Tab. 18.2","bibtex_type":"misc"}{"bibtex_key":"Valladas  2005. BSPF 102:109-113. Gonzalez J. .  2007. L'Anthropologie doi: 10.1016/j.anthro.2007.07.001. J. Combier  2012. QuartÔøΩr 59:  131-152. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.","bibtex_type":"misc"}{"bibtex_key":"Quiles A.  2014. Radiocarbon 56: 833-850.","bibtex_type":"misc"}

---
:bibtex_key: Nikolov 2016
: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: Görsdorf 1996
:bibtex_type: :misc
---
:bibtex_key: Breunig 1987, 113; Görsdorf/Bojadziev 1996
:bibtex_type: :misc
---
:bibtex_key: Görsdorf/Bojadziev 1996
:bibtex_type: :misc
---
:bibtex_key: 'Heimlich et al. 2013: 1387 Tab. 1; Clist 2018: 239 Tab. 18.2'
:bibtex_type: :misc
---
:bibtex_key: 'Valladas  2005. BSPF 102:109-113. Gonzalez J. .  2007. L''Anthropologie
  doi: 10.1016/j.anthro.2007.07.001. J. Combier  2012. QuartÔøΩr 59:  131-152. Faigenbaum-Golovin
  S.  2016. PNAS 113: 4670-4675.'
:bibtex_type: :misc
---
:bibtex_key: 'Quiles A.  2014. Radiocarbon 56: 833-850.'
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

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