Site types
Abri/grotte and

Location

Coordinates (degrees)
041.961° N, 013.622° E
Coordinates (DMS)
041° 57' 00" E, 013° 37' 00" N
Country (ISO 3166)
Italy (Italie)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-27905 unit VII os (collagène) NA AMS 5910±40 BP 6844–6655 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-6083 unit VII sédiment NA AMS 6340±140 BP 7558–6902 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-3420 unit VI charbon NA AMS 8110±90 BP 9397–8650 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-6084 unit VI charbon NA AMS 8790±110 BP 10160–9549 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-6082 unit VI charbon NA AMS 8840±100 BP 10190–9559 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-6081 unit VI charbon NA AMS 9110±80 BP 10506–9968 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-3421 unit VI charbon NA AMS 9140±70 BP 10496–10198 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
TO-3422 unit VI charbon NA AMS 9370±80 BP 11061–10292 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
GX-27906 unit IV os (collagène) Salmon Trutta AMS 12320±50 BP 14805–14093 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
GX-27907 unit IV os (collagène) NA AMS 12590±40 BP 15121–14875 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
AA-78136 unit IV os (collagène) NA AMS 12820±130 BP 15705–14947 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
GX-30436 unit III & talus os (collagène) NA AMS 14100±70 BP 17335–17024 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
LTL-1363A unit III & talus os et charbon NA AMS 15790±90 BP 19285–18865 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
AA-78134 unit III & talus charbon NA AMS 16495±90 BP 20150–19608 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
AA-78135 unit III & talus charbon NA AMS 14585±80 BP 18123–17495 cal BP Mussi et al. 2011, tabl. 1 Perrin 2021
AA-78136 NA bone Coelodonta antiquitatis Linty NA NA 12820±130 BP 15705–14947 cal BP Cancellieri E. 2010 PhD Thesis Universita Ferrara Bird et al. 2022
GX-27906 NA bone NA NA 12320±50 BP 14805–14093 cal BP Cancellieri E. 2010 PhD Thesis Universita Ferrara Bird et al. 2022
GX-30436 NA bone NA NA 14100±70 BP 17335–17024 cal BP Rivera 2006 Bird et al. 2022
LTL-1363A NA bone NA NA 15790±90 BP 19285–18865 cal BP Capuzzo, Boaretto, and Barceló 2014 Bird et al. 2022

typological date Typological dates (30)

Classification Estimated age References
Néolithique ancien NA Mussi et al. 2011, tabl. 1
Ceramica Impressa NA NA
Néolithique ancien NA Mussi et al. 2011, tabl. 1
Ceramica Impressa NA NA
Mésolithique 1 NA Mussi et al. 2011, tabl. 1
Sauveterriano NA NA
Mésolithique 1 NA Mussi et al. 2011, tabl. 1
Sauveterriano NA NA
Mésolithique 1 NA Mussi et al. 2011, tabl. 1
Sauveterriano NA NA
Mésolithique 1 NA Mussi et al. 2011, tabl. 1
Sauveterriano NA NA
Mésolithique 1 NA Mussi et al. 2011, tabl. 1
Sauveterriano NA NA
Mésolithique 1 NA Mussi et al. 2011, tabl. 1
Sauveterriano NA NA
Epipaléolithique NA Mussi et al. 2011, tabl. 1
Epigravettien NA NA
Epipaléolithique NA Mussi et al. 2011, tabl. 1
Epigravettien NA NA

Bibliographic reference Bibliographic references

  • Capuzzo, G., Boaretto, E., & Barceló, J. A. (2014). EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern France. Radiocarbon, 56(2), 851–869. https://doi.org/10.2458/56.17453 [EUBAR]
  • No bibliographic information available. [Mussi et al. 2011, tabl. 1]
  • No bibliographic information available. [Rivera 2006]
  • No bibliographic information available. [Cancellieri E. 2010 PhD Thesis Universita Ferrara]
  • Perrin, T. (2021). Base de Données Archéologique (BDA) [Data set]. NAKALA. https://doi.org/10.34847/nkl.dde9fnm8 [BDA]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]
@article{CapuzzoEtAl2014,
  title = {EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern France},
  shorttitle = {EUBAR},
  author = {Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.},
  year = {2014},
  month = {jan},
  journal = {Radiocarbon},
  volume = {56},
  number = {2},
  pages = {851–869},
  issn = {0033-8222, 1945-5755},
  doi = {10.2458/56.17453},
  abstract = {The chronological framework of European protohistory is mostly a relative chronology based on typology and stratigraphic data. Synchronization of different time periods suffers from a lack of absolute dates; therefore, disagreements between different chronological schemes are difficult to reconcile. An alternative approach was applied in this study to build a more precise and accurate absolute chronology. To the best of our knowledge, we have collected all the published 14C dates for the archaeological sites in the region from the Ebro River (Spain) to the Middle Danube Valley (Austria) for the period 1800–750 BC. The available archaeological information associated with the 14C dates was organized in a database that totaled more than 1600 14C dates. In order to build an accurate and precise chronology, quality selection rules have been applied to the 14C dates based on both archaeological context and analytical quality. Using the OxCal software and Bayesian analysis, several 14C time sequences were created following the archaeological data and different possible scenarios were tested in northern Italy and southern France.},
  langid = {english},
  month_numeric = {1}
}
@misc{Mussi et al. 2011, tabl. 1,
  
}
@misc{Rivera 2006,
  
}
@misc{Cancellieri E. 2010 PhD Thesis Universita Ferrara,
  
}
@dataset{BDA,
  title = {Base de Données Archéologique (BDA)},
  author = {Perrin, Thomas},
  date = {2021-02-03},
  publisher = {NAKALA},
  doi = {10.34847/nkl.dde9fnm8},
  url = {https://nakala.fr/10.34847/nkl.dde9fnm8},
  urldate = {2023-09-07},
  abstract = {Exports in .xlsx format of the main tables of the BDA database (Archaeological Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.},
  langid = {french}
}
@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}
}
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---
- :bibtex_key: CapuzzoEtAl2014
  :bibtex_type: :article
  :title: "{EUBAR: A Database of 14C Measurements for the European Bronze Age. A Bayesian
    Analysis of 14C-Dated Archaeological Contexts from Northern Italy and Southern
    France}"
  :shorttitle: "{EUBAR}"
  :author: "{Capuzzo, Giacomo and Boaretto, Elisabetta and Barceló, Juan A.}"
  :year: "{2014}"
  :month: "{jan}"
  :journal: "{Radiocarbon}"
  :volume: "{56}"
  :number: "{2}"
  :pages: "{851–869}"
  :issn: "{0033-8222, 1945-5755}"
  :doi: "{10.2458/56.17453}"
  :abstract: "{The chronological framework of European protohistory is mostly a relative
    chronology based on typology and stratigraphic data. Synchronization of different
    time periods suffers from a lack of absolute dates; therefore, disagreements between
    different chronological schemes are difficult to reconcile. An alternative approach
    was applied in this study to build a more precise and accurate absolute chronology.
    To the best of our knowledge, we have collected all the published 14C dates for
    the archaeological sites in the region from the Ebro River (Spain) to the Middle
    Danube Valley (Austria) for the period 1800–750 BC. The available archaeological
    information associated with the 14C dates was organized in a database that totaled
    more than 1600 14C dates. In order to build an accurate and precise chronology,
    quality selection rules have been applied to the 14C dates based on both archaeological
    context and analytical quality. Using the OxCal software and Bayesian analysis,
    several 14C time sequences were created following the archaeological data and
    different possible scenarios were tested in northern Italy and southern France.}"
  :langid: "{english}"
  :month_numeric: "{1}"
---
:bibtex_key: Mussi et al. 2011, tabl. 1
:bibtex_type: :misc
---
:bibtex_key: Rivera 2006
:bibtex_type: :misc
---
:bibtex_key: Cancellieri E. 2010 PhD Thesis Universita Ferrara
:bibtex_type: :misc
---
- :bibtex_key: BDA
  :bibtex_type: :dataset
  :title: "{Base de Données Archéologique (BDA)}"
  :author: "{Perrin, Thomas}"
  :date: "{2021-02-03}"
  :publisher: "{NAKALA}"
  :doi: "{10.34847/nkl.dde9fnm8}"
  :url: "{https://nakala.fr/10.34847/nkl.dde9fnm8}"
  :urldate: "{2023-09-07}"
  :abstract: "{Exports in .xlsx format of the main tables of the BDA database (Archaeological
    Database), available here https://bda.huma-num.fr/ in Filemaker Pro format.}"
  :langid: "{french}"
---
- :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