Site type

Location

Coordinates (degrees)
039.076° N, 009.401° W
Coordinates (DMS)
039° 04' 00" W, 009° 24' 00" N
Country (ISO 3166)
Portugal (PT)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
ICEN-71 NA charcoal NA NA 20380±150 BP 24971–24135 cal BP Gehlen 2010 Bird et al. 2022
Wk-17840 NA shell NA NA 20339±161 BP 24946–24015 cal BP Schmidt I. 2012 QI. Bicbo N. 2015 QI ip Bird et al. 2022
Wk-24763 NA charcoal NA NA 19533±92 BP 23780–23268 cal BP Schmidt I. 2012 QI. Simon Valllejo M.D. 2912. TP 69: 7-20. Tata F. 2014. JAS 42:29-41. Bicho N. 2017. QI428: 3-16. Bird et al. 2022
Wk-26800 NA charcoal NA NA 20620±160 BP 25199–24335 cal BP Bicho 2013. http://dx.doi.org/10.1016/j.quaint.2013.06.029. Tata F. 2014. JAS 42:29-41. Bird et al. 2022
Wk-26802 NA charcoal NA NA 20570±158 BP 25145–24300 cal BP Simon Valllejo M.D. 2912. TP 69: 7-20. Tata F. 2014. JAS 42:29-41. Bird et al. 2022
Wk-26803 NA shell NA NA 21859±186 BP 26418–25840 cal BP Marwick 2005 Morse 2009 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Gehlen 2010,
  
}
@misc{Schmidt I. 2012 QI. Bicbo N.  2015 QI ip,
  
}
@misc{Schmidt I. 2012 QI. Simon Valllejo M.D.  2912. TP 69: 7-20.  Tata F. 2014. JAS 42:29-41. Bicho N. 2017. QI428: 3-16.,
  
}
@misc{Bicho 2013. http://dx.doi.org/10.1016/j.quaint.2013.06.029.  Tata F. 2014. JAS 42:29-41.,
  
}
@misc{Simon Valllejo M.D.  2912. TP 69: 7-20.  Tata F. 2014. JAS 42:29-41.,
  
}
@misc{Marwick 2005 Morse 2009,
  
}
@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":"Gehlen 2010","bibtex_type":"misc"}{"bibtex_key":"Schmidt I. 2012 QI. Bicbo N.  2015 QI ip","bibtex_type":"misc"}{"bibtex_key":"Schmidt I. 2012 QI. Simon Valllejo M.D.  2912. TP 69: 7-20.  Tata F. 2014. JAS 42:29-41. Bicho N. 2017. QI428: 3-16.","bibtex_type":"misc"}{"bibtex_key":"Bicho 2013. http://dx.doi.org/10.1016/j.quaint.2013.06.029.  Tata F. 2014. JAS 42:29-41.","bibtex_type":"misc"}{"bibtex_key":"Simon Valllejo M.D.  2912. TP 69: 7-20.  Tata F. 2014. JAS 42:29-41.","bibtex_type":"misc"}{"bibtex_key":"Marwick 2005 Morse 2009","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: Gehlen 2010
:bibtex_type: :misc
---
:bibtex_key: Schmidt I. 2012 QI. Bicbo N.  2015 QI ip
:bibtex_type: :misc
---
:bibtex_key: 'Schmidt I. 2012 QI. Simon Valllejo M.D.  2912. TP 69: 7-20.  Tata F.
  2014. JAS 42:29-41. Bicho N. 2017. QI428: 3-16.'
:bibtex_type: :misc
---
:bibtex_key: Bicho 2013. http://dx.doi.org/10.1016/j.quaint.2013.06.029.  Tata F.
  2014. JAS 42:29-41.
:bibtex_type: :misc
---
:bibtex_key: 'Simon Valllejo M.D.  2912. TP 69: 7-20.  Tata F. 2014. JAS 42:29-41.'
:bibtex_type: :misc
---
:bibtex_key: Marwick 2005 Morse 2009
: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