Site type

Location

Coordinates (degrees)
043.784° N, 007.535° E
Coordinates (DMS)
043° 47' 00" E, 007° 32' 00" N
Country (ISO 3166)
Italy (IT)

radiocarbon date Radiocarbon dates (14)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Oxa-19289 shell NA NA 32330±150 BP Housley 1994 65 Bird et al. 2022
OxA-19569 ABOx-SC date of OxA-3592 NA NA 36350±260 BP Vermeersch2019 Bird et al. 2022
OxA-19614 shell NA NA 32370±160 BP Bolus Arch. Korr 36: 1-15 C.C. Szmidt / Journal of Archaeological Science 37 (2010) 3320-3337 Bird et al. 2022
OxA-19728 shell NA NA 26410±110 BP Douka K. 2012. JHE xxx:1 Bird et al. 2022
OxA-19729 shell NA NA 26140±110 BP Vermeersch2019 Bird et al. 2022
OxA-19730 shell Trochus sp. from I5 NA NA 34930±200 BP Pearce 2013 Bird et al. 2022
OxA-19801 shell NA NA 25490±110 BP Kuhn S. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals ... Peabody Museum Bulletin 8: 49-76. Onoratini G. 2004. L'Antropologie 108: 239-249. Bird et al. 2022
OxA-19857 shell NA NA 26030±110 BP Vermeersch2019 Bird et al. 2022
OxA-20629 shell NA NA 32910±220 BP Vermeersch2019 Bird et al. 2022
OxA-20630 shell NA NA 33180±230 BP Benazzi. S. 2011. doi:10.1038/nature10617. Bird et al. 2022
OxA-22268 shell NA NA 24870±120 BP Petillon J.-M. 2012. JHE 62: 435-465. Bird et al. 2022
OxA-3592 charcoal NA NA 34870±800 BP Dinnis R. Journal of Human Evolution Volume 127 2019 Pages 21-40 Bird et al. 2022
Rome-1 charcoal NA NA 27230±570 BP Alessio et al. 1976 Easton 1976 Renfrew 1978 Bird et al. 2022
Rome-2 (undefined) charcoal NA NA 37400±1300 BP Jung/Weninger 2015 226 Tab. 4 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Vermeersch2019,
  
}
@misc{Bolus  Arch. Korr 36: 1-15 C.C. Szmidt  / Journal of Archaeological Science 37 (2010) 3320-3337,
  
}
@misc{Douka K.  2012. JHE xxx:1,
  
}
@misc{Pearce 2013,
  
}
@misc{Kuhn S. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals ... Peabody Museum Bulletin 8: 49-76. Onoratini  G. 2004. L'Antropologie 108: 239-249.,
  
}
@misc{Benazzi. S.  2011. doi:10.1038/nature10617.,
  
}
@misc{Petillon J.-M.  2012. JHE 62: 435-465.,
  
}
@misc{Dinnis R.  Journal of Human Evolution Volume 127  2019 Pages 21-40,
  
}
@misc{Housley 1994 65,
  
}
@misc{Alessio et al. 1976 Easton 1976 Renfrew 1978,
  
}
@misc{Jung/Weninger 2015 226 Tab. 4,
  
}
@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":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Bolus  Arch. Korr 36: 1-15 C.C. Szmidt  / Journal of Archaeological Science 37 (2010) 3320-3337","bibtex_type":"misc"}{"bibtex_key":"Douka K.  2012. JHE xxx:1","bibtex_type":"misc"}{"bibtex_key":"Pearce 2013","bibtex_type":"misc"}{"bibtex_key":"Kuhn S. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals ... Peabody Museum Bulletin 8: 49-76. Onoratini  G. 2004. L'Antropologie 108: 239-249.","bibtex_type":"misc"}{"bibtex_key":"Benazzi. S.  2011. doi:10.1038/nature10617.","bibtex_type":"misc"}{"bibtex_key":"Petillon J.-M.  2012. JHE 62: 435-465.","bibtex_type":"misc"}{"bibtex_key":"Dinnis R.  Journal of Human Evolution Volume 127  2019 Pages 21-40","bibtex_type":"misc"}{"bibtex_key":"Housley 1994 65","bibtex_type":"misc"}{"bibtex_key":"Alessio et al. 1976 Easton 1976 Renfrew 1978","bibtex_type":"misc"}{"bibtex_key":"Jung/Weninger 2015 226 Tab. 4","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: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'Bolus  Arch. Korr 36: 1-15 C.C. Szmidt  / Journal of Archaeological
  Science 37 (2010) 3320-3337'
:bibtex_type: :misc
---
:bibtex_key: Douka K.  2012. JHE xxx:1
:bibtex_type: :misc
---
:bibtex_key: Pearce 2013
:bibtex_type: :misc
---
:bibtex_key: 'Kuhn S. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals ...
  Peabody Museum Bulletin 8: 49-76. Onoratini  G. 2004. L''Antropologie 108: 239-249.'
:bibtex_type: :misc
---
:bibtex_key: Benazzi. S.  2011. doi:10.1038/nature10617.
:bibtex_type: :misc
---
:bibtex_key: 'Petillon J.-M.  2012. JHE 62: 435-465.'
:bibtex_type: :misc
---
:bibtex_key: Dinnis R.  Journal of Human Evolution Volume 127  2019 Pages 21-40
:bibtex_type: :misc
---
:bibtex_key: Housley 1994 65
:bibtex_type: :misc
---
:bibtex_key: Alessio et al. 1976 Easton 1976 Renfrew 1978
:bibtex_type: :misc
---
:bibtex_key: Jung/Weninger 2015 226 Tab. 4
: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