OxA-7120

Radiocarbon date from Zafarraya Cueva del Boquete

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): 30900
Error (±): 1300
Lab: NA
Method: NA
Sample material: charcoal
Sample taxon: NA

Calibration

Calibration curve: IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP): 38470 - 32172

Context

Site: Zafarraya Cueva del Boquete
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (11)

No bibliographic information available. [Brami 2011]
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. [van Willigen 2006]
No bibliographic information available. [Kiel DB 2013]
No bibliographic information available. [Golovanova L. 1999. Current Anthropology 40 1: 77-87. Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011 PNAS.]
No bibliographic information available. [Wood R.E. 2013. PNAS 110: 2781-1786.]
No bibliographic information available. [https://www.nespos.org/display/PublicNesposSpace/Zafarraya]
No bibliographic information available. [Abramova Z. 2001. Radiocarbon 43: 1077. Haesaerts P. 2015. L'A 119: 364-393.]
No bibliographic information available. [Vermeersch2019]
No bibliographic information available. [Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B. Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.]
No bibliographic information available. [https://c14.arch.ox.ac.uk/database/db.php]

@misc{Brami 2011,
  
}
@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{van Willigen 2006,
  
}
@misc{Kiel DB 2013,
  
}
@misc{Golovanova L. 1999. Current Anthropology 40 1: 77-87.  Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011 PNAS.,
  
}
@misc{Wood R.E.  2013. PNAS 110: 2781-1786.,
  
}
@misc{https://www.nespos.org/display/PublicNesposSpace/Zafarraya,
  
}
@misc{Abramova Z. 2001. Radiocarbon 43: 1077. Haesaerts P.  2015. L'A 119: 364-393.,
  
}
@misc{Vermeersch2019,
  
}
@misc{Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B. Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.,
  
}
@misc{https://c14.arch.ox.ac.uk/database/db.php,
  
}

{"bibtex_key":"Brami 2011","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":"van Willigen 2006","bibtex_type":"misc"}{"bibtex_key":"Kiel DB 2013","bibtex_type":"misc"}{"bibtex_key":"Golovanova L. 1999. Current Anthropology 40 1: 77-87.  Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011 PNAS.","bibtex_type":"misc"}{"bibtex_key":"Wood R.E.  2013. PNAS 110: 2781-1786.","bibtex_type":"misc"}{"bibtex_key":"https://www.nespos.org/display/PublicNesposSpace/Zafarraya","bibtex_type":"misc"}{"bibtex_key":"Abramova Z. 2001. Radiocarbon 43: 1077. Haesaerts P.  2015. L'A 119: 364-393.","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B. Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.","bibtex_type":"misc"}{"bibtex_key":"https://c14.arch.ox.ac.uk/database/db.php","bibtex_type":"misc"}

---
:bibtex_key: Brami 2011
: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: van Willigen 2006
:bibtex_type: :misc
---
:bibtex_key: Kiel DB 2013
:bibtex_type: :misc
---
:bibtex_key: 'Golovanova L. 1999. Current Anthropology 40 1: 77-87.  Adler D.S. 2008.
  JHE 55: 817-833. Pinhasi R. 2011 PNAS.'
:bibtex_type: :misc
---
:bibtex_key: 'Wood R.E.  2013. PNAS 110: 2781-1786.'
:bibtex_type: :misc
---
:bibtex_key: https://www.nespos.org/display/PublicNesposSpace/Zafarraya
:bibtex_type: :misc
---
:bibtex_key: 'Abramova Z. 2001. Radiocarbon 43: 1077. Haesaerts P.  2015. L''A 119:
  364-393.'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B.
  Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica
  et Praehistorica 119: 3-253.'
:bibtex_type: :misc
---
:bibtex_key: https://c14.arch.ox.ac.uk/database/db.php
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

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