Site types
Cemetery and

Location

Coordinates (degrees)
041.887° N, 012.717° E
Coordinates (DMS)
041° 53' 00" E, 012° 43' 00" N
Country (ISO 3166)
Italy (IT)

radiocarbon date Radiocarbon dates (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrA-16076 Tomb 63 bone Homo sapiens NA 2810±60 BP van der Plicht et al. 2009
GrA-16077 Tomb 75 bone Homo sapiens NA 2830±60 BP van der Plicht et al. 2009
GrA-16079 Tomb 85 bone Homo sapiens NA 2790±60 BP van der Plicht et al. 2009
GrN-23479 NA NA 2920±120 BP Skeates 2003
GrN-25200 Tomb 71 bone Homo sapiens NA 2750±40 BP van der Plicht et al. 2009
GrN-25204 Tomb 86 bone Homo sapiens NA 2790±45 BP van der Plicht et al. 2009
GrA-16076 bone Homo sapiens NA 2810±60 BP van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.
GrA-16077 bone Homo sapiens NA 2830±60 BP van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.
GrA-16079 bone Homo sapiens NA 2790±60 BP van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.
GrN-23479 NA NA 2920±120 BP Skeates, R., 2003. New radiocarbon dates for prehistoric Italy: supplementary list 5. Accordia research papers., 9, pp.163-182.
GrN-25200 bone Homo sapiens NA 2750±40 BP van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.
GrN-25204 bone Homo sapiens NA 2790±45 BP van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.
GrA-16076 bone NA NA 2810±60 BP van der Plicht J. Bruins H.J. and Nijboer A.J. 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon 51(1) pp.213-42. Bird et al. 2022
GrA-16077 bone NA NA 2830±60 BP van der Plicht J. Bruins H.J. and Nijboer A.J. 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon 51(1) pp.213-42. Bird et al. 2022
GrA-16079 bone NA NA 2790±60 BP http://radon-b.ufg.uni-kiel.de/samples/7128 Bird et al. 2022
GrN-23479 NA NA 2920±120 BP Djindjian F. 1999. Le Paleolithique superieur en Europe. Paris Collin. Bolus Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte A. 2012. AK 42: 135-142.. Moreau J. 2015. JHE 78: 158-180. Bird et al. 2022
GrN-25200 bone NA NA 2750±40 BP van der Plicht J. Bruins H.J. and Nijboer A.J. 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon 51(1) pp.213-42. Bird et al. 2022
GrN-25204 bone NA NA 2790±45 BP van der Plicht 2009 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{van der Plicht et al. 2009,
  
}
@misc{Skeates 2003,
  
}
@misc{van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.,
  
}
@misc{Skeates, R., 2003. New radiocarbon dates for prehistoric Italy: supplementary list 5. Accordia research papers., 9, pp.163-182.,
  
}
@misc{van der Plicht J. Bruins H.J. and Nijboer A.J. 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon 51(1) pp.213-42.,
  
}
@misc{http://radon-b.ufg.uni-kiel.de/samples/7128,
  
}
@misc{Djindjian F.  1999. Le Paleolithique superieur en Europe. Paris Collin. Bolus  Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte A. 2012. AK 42: 135-142.. Moreau J.  2015. JHE 78: 158-180.,
  
}
@misc{van der Plicht 2009,
  
}
@misc{AIDA,
  url = {https://github.com/apalmisano82/AIDA},
  note = {Palmisano, A., Bevan, A., Kabelindde, A., Roberts, N., & Shennan, S., 2022. "AIDA: Archive of Italian radiocarbon DAtes", version 5.0 (9 April 2022): https://github.com/apalmisano82/AIDA}
}
@misc{Palmisano et al. 2017,
  url = {https://discovery.ucl.ac.uk/id/eprint/1575442/},
  note = { Palmisano, A; Bevan, A; Shennan, S; (2017) Regional Demographic Trends and Settlement Patterns in Central Italy: Archaeological Sites and Radiocarbon Dates. [Dataset]. UCL Institute of Archaeology: London, UK. doi:10.14324/000.ds.1575442}
}
@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":"van der Plicht et al. 2009","bibtex_type":"misc"}{"bibtex_key":"Skeates 2003","bibtex_type":"misc"}{"bibtex_key":"van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon, 51(1), pp.213-42.","bibtex_type":"misc"}{"bibtex_key":"Skeates, R., 2003. New radiocarbon dates for prehistoric Italy: supplementary list 5. Accordia research papers., 9, pp.163-182.","bibtex_type":"misc"}{"bibtex_key":"van der Plicht J. Bruins H.J. and Nijboer A.J. 2009. The Iron Age around the Mediterranean: a high chronology perspective from the Groningen radiocarbon database. Radiocarbon 51(1) pp.213-42.","bibtex_type":"misc"}{"bibtex_key":"http://radon-b.ufg.uni-kiel.de/samples/7128","bibtex_type":"misc"}{"bibtex_key":"Djindjian F.  1999. Le Paleolithique superieur en Europe. Paris Collin. Bolus  Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte A. 2012. AK 42: 135-142.. Moreau J.  2015. JHE 78: 158-180.","bibtex_type":"misc"}{"bibtex_key":"van der Plicht 2009","bibtex_type":"misc"}[{"bibtex_key":"AIDA","bibtex_type":"misc","url":"{https://github.com/apalmisano82/AIDA}","note":"{Palmisano, A., Bevan, A., Kabelindde, A., Roberts, N., & Shennan, S., 2022. \"AIDA: Archive of Italian radiocarbon DAtes\", version 5.0 (9 April 2022): https://github.com/apalmisano82/AIDA}"}][{"bibtex_key":"Palmisano et al. 2017","bibtex_type":"misc","url":"{https://discovery.ucl.ac.uk/id/eprint/1575442/}","note":"{ Palmisano, A; Bevan, A; Shennan, S; (2017) Regional Demographic Trends and Settlement Patterns in Central Italy: Archaeological Sites and Radiocarbon Dates. [Dataset]. UCL Institute of Archaeology: London, UK. doi:10.14324/000.ds.1575442}"}][{"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: van der Plicht et al. 2009
:bibtex_type: :misc
---
:bibtex_key: Skeates 2003
:bibtex_type: :misc
---
:bibtex_key: 'van der Plicht, J., Bruins, H.J. and Nijboer, A.J., 2009. The Iron Age
  around the Mediterranean: a high chronology perspective from the Groningen radiocarbon
  database. Radiocarbon, 51(1), pp.213-42.'
:bibtex_type: :misc
---
:bibtex_key: 'Skeates, R., 2003. New radiocarbon dates for prehistoric Italy: supplementary
  list 5. Accordia research papers., 9, pp.163-182.'
:bibtex_type: :misc
---
:bibtex_key: 'van der Plicht J. Bruins H.J. and Nijboer A.J. 2009. The Iron Age around
  the Mediterranean: a high chronology perspective from the Groningen radiocarbon
  database. Radiocarbon 51(1) pp.213-42.'
:bibtex_type: :misc
---
:bibtex_key: http://radon-b.ufg.uni-kiel.de/samples/7128
:bibtex_type: :misc
---
:bibtex_key: 'Djindjian F.  1999. Le Paleolithique superieur en Europe. Paris Collin.
  Bolus  Arch. 2006. Korr 36: 1-1. Pacher M. 2001. CAD. LAB. XEOL. LAKE 26:304. Verpoorte
  A. 2012. AK 42: 135-142.. Moreau J.  2015. JHE 78: 158-180.'
:bibtex_type: :misc
---
:bibtex_key: van der Plicht 2009
:bibtex_type: :misc
---
- :bibtex_key: AIDA
  :bibtex_type: :misc
  :url: "{https://github.com/apalmisano82/AIDA}"
  :note: '{Palmisano, A., Bevan, A., Kabelindde, A., Roberts, N., & Shennan, S., 2022.
    "AIDA: Archive of Italian radiocarbon DAtes", version 5.0 (9 April 2022): https://github.com/apalmisano82/AIDA}'
---
- :bibtex_key: Palmisano et al. 2017
  :bibtex_type: :misc
  :url: "{https://discovery.ucl.ac.uk/id/eprint/1575442/}"
  :note: "{ Palmisano, A; Bevan, A; Shennan, S; (2017) Regional Demographic Trends
    and Settlement Patterns in Central Italy: Archaeological Sites and Radiocarbon
    Dates. [Dataset]. UCL Institute of Archaeology: London, UK. doi:10.14324/000.ds.1575442}"
---
- :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