Site type

Location

Coordinates (degrees)
036.951° N, 004.126° W
Coordinates (DMS)
036° 57' 00" W, 004° 07' 00" N
Country (ISO 3166)
Spain (ES)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Gif-9140-II bone NA NA 29800±600 BP van Willigen 2006 Bird et al. 2022
LU-125 bone NA NA 26470±420 BP Kiel DB 2013 Bird et al. 2022
OxA-21810 bone NA NA 46300±2500 BP Golovanova L. 1999. Current Anthropology 40 1: 77-87. Adler D.S. 2008. JHE 55: 817-833. Pinhasi R. 2011 PNAS. Bird et al. 2022
OxA-7114 charcoal NA NA 18920±420 BP Wood R.E. 2013. PNAS 110: 2781-1786. Bird et al. 2022
OxA-7115 charcoal NA NA 18980±260 BP https://www.nespos.org/display/PublicNesposSpace/Zafarraya Bird et al. 2022
OxA-7117 charcoal NA NA 36900±3000 BP Wood R.E. 2013. PNAS 110: 2781-1786. Bird et al. 2022
OxA-7118 charcoal NA NA 11620±360 BP Abramova Z. 2001. Radiocarbon 43: 1077. Haesaerts P. 2015. L'A 119: 364-393. Bird et al. 2022
OxA-7120 charcoal NA NA 30900±1300 BP Brami 2011 Bird et al. 2022
OxA-7135 charcoal NA NA 14930±90 BP Vermeersch2019 Bird et al. 2022
OxA-8024 tooth NA NA 30200±460 BP 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. Bird et al. 2022
OxA-8411 bone NA NA 26300±440 BP Vermeersch2019 Bird et al. 2022
OxA-8999 bone NA NA 33300±1200 BP Wood R.E. 2013. PNAS 110: 2781-1786. Bird et al. 2022
OxA-9000 bone NA NA 30650±650 BP https://www.nespos.org/display/PublicNesposSpace/Zafarraya Bird et al. 2022
OxA-9001 charcoal NA NA 36700±1400 BP https://www.nespos.org/display/PublicNesposSpace/Zafarraya Bird et al. 2022
OxA-9002 charcoal NA NA 34600±800 BP https://c14.arch.ox.ac.uk/database/db.php Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@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{Brami 2011,
  
}
@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,
  
}
@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}
}
{"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":"Brami 2011","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":"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: Brami 2011
: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: 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}"

Changelog