Site type

Location

Coordinates (degrees)
NA
Coordinates (DMS)
NA
Country (ISO 3166)
Spain (ES)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-313477 NA seed/fruit NA NA 6140±40 BP 7160–6937 cal BP Valério et al. 2013 441 Tab. 1 Bird et al. 2022
Beta-316509 NA seed/fruit NA NA 6200±40 BP 7245–6989 cal BP Puchol 2016 Bird et al. 2022
CSIC-1132 NA grass NA NA 5861±48 BP 6790–6553 cal BP Larsson 2019 Bird et al. 2022
CSIC-1133 NA grass NA NA 6086±45 BP 7157–6796 cal BP Larsson 2019 Bird et al. 2022
CSIC-1134 NA grass NA NA 5900±38 BP 6826–6645 cal BP Carbonell 2000 Peabody Museum Bulletin 8: 5-34. Diez C. 2008. Revista C & G 22: 135-157. Sanchez Yustos P. 2015. QSR 121: 75-88. Wolf Scientific Reports volume 8 Article number: 7048 (2018) Bird et al. 2022
CSIC-247 NA wood NA NA 7440±100 BP 8400–8031 cal BP Balsera et al. 2015; Lull et al. 2015 398-407 Appendix Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Larsson 2019,
  
}
@misc{Puchol 2016,
  
}
@misc{Balsera et al. 2015; Lull et al. 2015 398-407 Appendix,
  
}
@misc{Valério et al. 2013 441 Tab. 1,
  
}
@misc{Carbonell  2000 Peabody Museum Bulletin 8: 5-34. Diez C.  2008. Revista C & G 22: 135-157. Sanchez Yustos P.  2015. QSR 121: 75-88.  Wolf Scientific Reports volume 8 Article number: 7048 (2018),
  
}
@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":"Larsson 2019","bibtex_type":"misc"}{"bibtex_key":"Puchol 2016","bibtex_type":"misc"}{"bibtex_key":"Balsera et al. 2015; Lull et al. 2015 398-407 Appendix","bibtex_type":"misc"}{"bibtex_key":"Valério et al. 2013 441 Tab. 1","bibtex_type":"misc"}{"bibtex_key":"Carbonell  2000 Peabody Museum Bulletin 8: 5-34. Diez C.  2008. Revista C & G 22: 135-157. Sanchez Yustos P.  2015. QSR 121: 75-88.  Wolf Scientific Reports volume 8 Article number: 7048 (2018)","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: Larsson 2019
:bibtex_type: :misc
---
:bibtex_key: Puchol 2016
:bibtex_type: :misc
---
:bibtex_key: Balsera et al. 2015; Lull et al. 2015 398-407 Appendix
:bibtex_type: :misc
---
:bibtex_key: Valério et al. 2013 441 Tab. 1
:bibtex_type: :misc
---
:bibtex_key: 'Carbonell  2000 Peabody Museum Bulletin 8: 5-34. Diez C.  2008. Revista
  C & G 22: 135-157. Sanchez Yustos P.  2015. QSR 121: 75-88.  Wolf Scientific Reports
  volume 8 Article number: 7048 (2018)'
: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