ETH-45336, radiocarbon date from Körtik Tepe

Measurement

Age (uncal BP): 10270
Error (±): 95
Lab: NA
Method: NA
Sample material: charcoal
Sample taxon: NA

Calibration

Calibration curve: IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP): 12480 - 11694
11667 - 11646

Context

Site: Körtik Tepe
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (18)

No bibliographic information available. [PPND]
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. [Arbuckle 2006]
No bibliographic information available. [Benz 2012]
No bibliographic information available. [Coşkun 2012]
No bibliographic information available. [ppnd database]
No bibliographic information available. [Benz 2017]
No bibliographic information available. [Arbuckle 2006; Benz 2014; CalPal; Flohr et al. 2016]
No bibliographic information available. [Benz 2014; CalPal; Flohr et al. 2016]
No bibliographic information available. [Coskun et al. 2012; Benz 2014; Flohr et al. 2016]
No bibliographic information available. [Benz 2014]
No bibliographic information available. [Benz et al. 2015]
No bibliographic information available. [CalPal; Benz et al. 2014; Flohr et al. 2016]
No bibliographic information available. [Benz et al. 2017]
No bibliographic information available. [Kennett et al. 2013: Table S3]
No bibliographic information available. [Huysecom et al. 2013]
No bibliographic information available. [Vermeersch2019]
No bibliographic information available. [Kandel A.W. 2017. JHE 110: 37-68.]

@misc{PPND,
  
}
@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{Arbuckle 2006,
  
}
@misc{Benz 2012,
  
}
@misc{Coşkun 2012,
  
}
@misc{ppnd database,
  
}
@misc{Benz 2017,
  
}
@misc{Arbuckle 2006; Benz 2014; CalPal; Flohr et al. 2016,
  
}
@misc{Benz 2014; CalPal; Flohr et al. 2016,
  
}
@misc{Coskun et al. 2012; Benz 2014; Flohr et al. 2016,
  
}
@misc{Benz 2014,
  
}
@misc{Benz et al. 2015,
  
}
@misc{CalPal; Benz et al. 2014; Flohr et al. 2016,
  
}
@misc{Benz et al. 2017,
  
}
@misc{Kennett et al. 2013: Table S3,
  
}
@misc{Huysecom et al. 2013,
  
}
@misc{Vermeersch2019,
  
}
@misc{Kandel A.W.  2017. JHE 110: 37-68.,
  
}

{"bibtex_key":"PPND","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":"Arbuckle 2006","bibtex_type":"misc"}{"bibtex_key":"Benz 2012","bibtex_type":"misc"}{"bibtex_key":"Coşkun 2012","bibtex_type":"misc"}{"bibtex_key":"ppnd database","bibtex_type":"misc"}{"bibtex_key":"Benz 2017","bibtex_type":"misc"}{"bibtex_key":"Arbuckle 2006; Benz 2014; CalPal; Flohr et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Benz 2014; CalPal; Flohr et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Coskun et al. 2012; Benz 2014; Flohr et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Benz 2014","bibtex_type":"misc"}{"bibtex_key":"Benz et al. 2015","bibtex_type":"misc"}{"bibtex_key":"CalPal; Benz et al. 2014; Flohr et al. 2016","bibtex_type":"misc"}{"bibtex_key":"Benz et al. 2017","bibtex_type":"misc"}{"bibtex_key":"Kennett et al. 2013: Table S3","bibtex_type":"misc"}{"bibtex_key":"Huysecom et al. 2013","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Kandel A.W.  2017. JHE 110: 37-68.","bibtex_type":"misc"}

---
:bibtex_key: PPND
: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: Arbuckle 2006
:bibtex_type: :misc
---
:bibtex_key: Benz 2012
:bibtex_type: :misc
---
:bibtex_key: Coşkun 2012
:bibtex_type: :misc
---
:bibtex_key: ppnd database
:bibtex_type: :misc
---
:bibtex_key: Benz 2017
:bibtex_type: :misc
---
:bibtex_key: Arbuckle 2006; Benz 2014; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Benz 2014; CalPal; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Coskun et al. 2012; Benz 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Benz 2014
:bibtex_type: :misc
---
:bibtex_key: Benz et al. 2015
:bibtex_type: :misc
---
:bibtex_key: CalPal; Benz et al. 2014; Flohr et al. 2016
:bibtex_type: :misc
---
:bibtex_key: Benz et al. 2017
:bibtex_type: :misc
---
:bibtex_key: 'Kennett et al. 2013: Table S3'
:bibtex_type: :misc
---
:bibtex_key: Huysecom et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Kandel A.W.  2017. JHE 110: 37-68.'
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

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