Site type

Location

Coordinates (degrees)
037.094° N, 008.815° W
Coordinates (DMS)
037° 05' 00" W, 008° 48' 00" N
Country (ISO 3166)
Portugal (PT)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-63306 NA charcoal NA NA 21420±100 BP 25910–25642 cal BP Schmidt I. 2012 QI. Bicbo N. 2015 QI ip Bird et al. 2022
AA-63307 NA charcoal NA NA 11840±280 BP 14818–13118 cal BP Corchon S. 2005.Zephyrus 48: 104. Tata F. 2014. JAS 42:29-41. Tata F. 2014. JAS 42:29-41. Bicho N.2017. QI 428: 3-16. Bird et al. 2022
AA-63308 NA charcoal NA NA 15710±320 BP 19795–18276 cal BP Corchon S. 2005.Zephyrus 48: 104. Tata F. 2014. JAS 42:29-41. Tata F. 2014. JAS 42:29-41. Bicho N.2017. QI 428: 3-16. Bird et al. 2022
Wk-12130 NA bone NA NA 18406±164 BP 22730–21991 cal BP Corchon S. 2005.Zephyrus 48: 104. Tata F. 2014. JAS 42:29-41. Tata F. 2014. JAS 42:29-41. Bicho N.2017. QI 428: 3-16. Bird et al. 2022
Wk-12131 NA bone NA NA 17634±108 BP 21740–20977 cal BP Schmidt I. 2012 QI. Bicbo N. 2015 QI ip Bird et al. 2022
Wk-12132 NA charcoal NA NA 24300±205 BP 28935–27913 cal BP Cavalho 2008 Bird et al. 2022
Wk-13686 NA bone NA NA 22470±235 BP 27257–26290 cal BP Cavalho 2008 Bird et al. 2022
Wk-16414 NA shell NA NA 23995±230 BP 28665–27769 cal BP Schmidt I. 2012 QI. Bicbo N. 2015 QI ip Bird et al. 2022
Wk-16415 NA shell NA NA 21830±192 BP 26411–25810 cal BP Haws J.A. 2011. QI. N. Bicho / Quaternary International 428 (2017) 3-16. Bird et al. 2022
Wk-31088 NA bone NA NA 15660±86 BP 19100–18803 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

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Cavalho 2008,
  
}
@misc{Schmidt I. 2012 QI. Bicbo N.  2015 QI ip,
  
}
@misc{Corchon S. 2005.Zephyrus 48: 104.  Tata F. 2014. JAS 42:29-41.  Tata F. 2014. JAS 42:29-41. Bicho N.2017. QI 428: 3-16.,
  
}
@misc{Haws J.A. 2011. QI. N. Bicho  / Quaternary International 428 (2017) 3-16.,
  
}
@misc{Bicho 2013. http://dx.doi.org/10.1016/j.quaint.2013.06.029.  Tata F. 2014. JAS 42:29-41.,
  
}
@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":"Cavalho 2008","bibtex_type":"misc"}{"bibtex_key":"Schmidt I. 2012 QI. Bicbo N.  2015 QI ip","bibtex_type":"misc"}{"bibtex_key":"Corchon S. 2005.Zephyrus 48: 104.  Tata F. 2014. JAS 42:29-41.  Tata F. 2014. JAS 42:29-41. Bicho N.2017. QI 428: 3-16.","bibtex_type":"misc"}{"bibtex_key":"Haws J.A. 2011. QI. N. Bicho  / Quaternary International 428 (2017) 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":"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: Cavalho 2008
:bibtex_type: :misc
---
:bibtex_key: Schmidt I. 2012 QI. Bicbo N.  2015 QI ip
:bibtex_type: :misc
---
:bibtex_key: 'Corchon S. 2005.Zephyrus 48: 104.  Tata F. 2014. JAS 42:29-41.  Tata
  F. 2014. JAS 42:29-41. Bicho N.2017. QI 428: 3-16.'
:bibtex_type: :misc
---
:bibtex_key: Haws J.A. 2011. QI. N. Bicho  / Quaternary International 428 (2017) 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: 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