SacA-24566
Radiocarbon date from
Karanovo,
c. 4855–4619 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
Contributors: XRONOS development team
Measurement
- Age (uncal BP)
- 4215
- 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)
-
- 4855–4790
- 4764–4619
Context
- Site
- Karanovo
- Context
- Sample position
- NA
- Sample coordinates
- NA
Bibliographic references
(8)
- 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.]
- 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. [Nikolov 2016]
- 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. [Quiles A. 2014. Radiocarbon 56: 833-850.]
@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.,
}
@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{Nikolov 2016,
}
@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{Quiles A. 2014. Radiocarbon 56: 833-850.,
}
{"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":"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":"Nikolov 2016","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":"Quiles A. 2014. Radiocarbon 56: 833-850.","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: 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: Nikolov 2016
: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: 'Quiles A. 2014. Radiocarbon 56: 833-850.'
:bibtex_type: :misc