KIA-10287, radiocarbon date from Serra Cicora

Measurement

Age (uncal BP): 6679
Error (±): 54
Lab: NA
Method: NA
Sample material
Sample taxon: NA

Calibration

Calibration curve: IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP): 7658 - 7638
7620 - 7462
7453 - 7431

Context

Site: Serra Cicora
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (14)

No bibliographic information available. [OdzdoÄŸan/Parzinger 2012 268 Abb. 223]
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. [Rossi et al. 2013]
No bibliographic information available. [Quarta et al. 2005; CalPal]
No bibliographic information available. [Calcagnile et al. 2004]
No bibliographic information available. [Natali and Forgia 2018]
No bibliographic information available. [Fiorentino et al. 2013]
No bibliographic information available. [Fabbri et al 2015]
No bibliographic information available. [Quarta 2005]
No bibliographic information available. [Natali 2017]
No bibliographic information available. [Calcignale et al. 1997 p666]
No bibliographic information available. [fiorentino et al. 2013]
No bibliographic information available. [Silva_VanderLinden_2017]
No bibliographic information available. [Craig O. 2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S. 2017 QSR ip.]

@misc{OdzdoÄŸan/Parzinger 2012 268 Abb. 223,
  
}
@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{Rossi et al. 2013,
  
}
@misc{Quarta et al. 2005; CalPal,
  
}
@misc{Calcagnile et al. 2004,
  
}
@misc{Natali and Forgia 2018,
  
}
@misc{Fiorentino et al. 2013,
  
}
@misc{Fabbri et al 2015,
  
}
@misc{Quarta 2005,
  
}
@misc{Natali 2017,
  
}
@misc{Calcignale et al. 1997 p666,
  
}
@misc{fiorentino et al. 2013,
  
}
@misc{Silva_VanderLinden_2017,
  
}
@misc{Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017 QSR ip.,
  
}

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---
:bibtex_key: OdzdoÄŸan/Parzinger 2012 268 Abb. 223
: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: Rossi et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Quarta et al. 2005; CalPal
:bibtex_type: :misc
---
:bibtex_key: Calcagnile et al. 2004
:bibtex_type: :misc
---
:bibtex_key: Natali and Forgia 2018
:bibtex_type: :misc
---
:bibtex_key: Fiorentino et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Fabbri et al 2015
:bibtex_type: :misc
---
:bibtex_key: Quarta 2005
:bibtex_type: :misc
---
:bibtex_key: Natali 2017
:bibtex_type: :misc
---
:bibtex_key: Calcignale et al. 1997 p666
:bibtex_type: :misc
---
:bibtex_key: fiorentino et al. 2013
:bibtex_type: :misc
---
:bibtex_key: Silva_VanderLinden_2017
:bibtex_type: :misc
---
:bibtex_key: Craig O.  2010. JAS doi:10.1016/J.Jas 2010.05.010. Blockley S.  2017
  QSR ip.
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

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