Site types
Settlement and

Location

Coordinates (degrees)
042.411° N, 011.286° E
Coordinates (DMS)
042° 24' 00" E, 011° 17' 00" N
Country (ISO 3166)
Italy (IT)

radiocarbon date Radiocarbon dates (21)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
P-1931 wood Pinus resinosa NA 2550±60 BP Skeates 1994 Palmisano et al. 2022
P-1932 wood NA NA 1900±50 BP Lawn 1974 Palmisano et al. 2022
P-1933 wood Quercus NA 3270±70 BP Skeates 1994 Palmisano et al. 2022
P-1934 wood Pinus NA 1980±60 BP Lawn 1974 Palmisano et al. 2022
P-1935 wood Quercus NA 1860±60 BP Lawn 1974 Palmisano et al. 2022
BM-3003 bone Homo sapiens NA 950±35 BP Fentress, E. and Bodel, J.P., 2003. Cosa 5. University of Michigan Press.
BM-3004 bone Homo sapiens NA 960±35 BP Fentress, E. and Bodel, J.P., 2003. Cosa 5. University of Michigan Press.
BM-3005 bone Homo sapiens NA 810±40 BP Fentress, E. and Bodel, J.P., 2003. Cosa 5. University of Michigan Press.
P-1931 wood Pinus resinosa NA 2550±60 BP Skeates, R., 1994. A radiocarbon date-list for prehistoric Italy (c. 46,400 BP2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory, 3, pp.147-288.
P-1932 wood NA NA 1900±50 BP Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.
P-1933 wood Quercus NA 3270±70 BP Skeates, R., 1994. A radiocarbon date-list for prehistoric Italy (c. 46,400 BP2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory, 3, pp.147-288.
P-1934 wood Pinus NA 1980±60 BP Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.
P-1935 wood Quercus NA 1860±60 BP Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.
BM-3003 bone NA NA 950±35 BP Fentress E. and Bodel J.P. 2003. Cosa 5. University of Michigan Press. Bird et al. 2022
BM-3004 bone NA NA 960±35 BP Fentress E. and Bodel J.P. 2003. Cosa 5. University of Michigan Press. Bird et al. 2022
BM-3005 bone NA NA 810±40 BP Palmisano2017_Italy Bird et al. 2022
P-1931 wood NA NA 2550±60 BP Lawn B. 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon 16(2) pp.219-237. Bird et al. 2022
P-1932 wood NA NA 1900±50 BP Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288. Bird et al. 2022
P-1933 wood NA NA 3270±70 BP Lawn B. 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon 16(2) pp.219-237. Bird et al. 2022
P-1934 wood NA NA 1980±60 BP Lawn B. 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon 16(2) pp.219-237. Bird et al. 2022

typological date Typological dates (4)

Classification Estimated age References
Archaic Period NA Skeates, R., 1994. A radiocarbon date-list for prehistoric Italy (c. 46,400 BP2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory, 3, pp.147-288.
Imperial Period NA Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.
Imperial Period NA Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.
Imperial Period NA Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.

Bibliographic reference Bibliographic references

@misc{Skeates 1994,
  
}
@misc{Lawn 1974,
  
}
@misc{Fentress, E. and Bodel, J.P., 2003. Cosa 5. University of Michigan Press.,
  
}
@misc{Skeates, R., 1994. A radiocarbon date-list for prehistoric Italy (c. 46,400 BP2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory, 3, pp.147-288.,
  
}
@misc{Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.,
  
}
@misc{Fentress E. and Bodel J.P. 2003. Cosa 5. University of Michigan Press.,
  
}
@misc{Palmisano2017_Italy,
  
}
@misc{Lawn B. 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon 16(2) pp.219-237.,
  
}
@misc{Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.,
  
}
@misc{RC 1 1959 45-58,
  
}
@dataset{AIDA,
  title = {AIDA: Archive of Italian Radiocarbon Dates},
  author = {Palmisano, Alessio and Bevan, Andrew and Kabelindde, A. and Roberts, N. and Shennan, S.},
  date = {2022-04-09},
  url = {https://github.com/apalmisano82/AIDA},
  version = {5.0}
}
@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":"Skeates 1994","bibtex_type":"misc"}{"bibtex_key":"Lawn 1974","bibtex_type":"misc"}{"bibtex_key":"Fentress, E. and Bodel, J.P., 2003. Cosa 5. University of Michigan Press.","bibtex_type":"misc"}{"bibtex_key":"Skeates, R., 1994. A radiocarbon date-list for prehistoric Italy (c. 46,400 BP2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory, 3, pp.147-288.","bibtex_type":"misc"}{"bibtex_key":"Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon, 16(2), pp.219-237.","bibtex_type":"misc"}{"bibtex_key":"Fentress E. and Bodel J.P. 2003. Cosa 5. University of Michigan Press.","bibtex_type":"misc"}{"bibtex_key":"Palmisano2017_Italy","bibtex_type":"misc"}{"bibtex_key":"Lawn B. 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon 16(2) pp.219-237.","bibtex_type":"misc"}{"bibtex_key":"Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400 BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.","bibtex_type":"misc"}{"bibtex_key":"RC 1 1959 45-58","bibtex_type":"misc"}[{"bibtex_key":"AIDA","bibtex_type":"dataset","title":"{AIDA: Archive of Italian Radiocarbon Dates}","author":"{Palmisano, Alessio and Bevan, Andrew and Kabelindde, A. and Roberts, N. and Shennan, S.}","date":"{2022-04-09}","url":"{https://github.com/apalmisano82/AIDA}","version":"{5.0}"}][{"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: Skeates 1994
:bibtex_type: :misc
---
:bibtex_key: Lawn 1974
:bibtex_type: :misc
---
:bibtex_key: Fentress, E. and Bodel, J.P., 2003. Cosa 5. University of Michigan Press.
:bibtex_type: :misc
---
:bibtex_key: Skeates, R., 1994. A radiocarbon date-list for prehistoric Italy (c.
  46,400 BP2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory, 3, pp.147-288.
:bibtex_type: :misc
---
:bibtex_key: Lawn, B., 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon,
  16(2), pp.219-237.
:bibtex_type: :misc
---
:bibtex_key: Fentress E. and Bodel J.P. 2003. Cosa 5. University of Michigan Press.
:bibtex_type: :misc
---
:bibtex_key: Palmisano2017_Italy
:bibtex_type: :misc
---
:bibtex_key: Lawn B. 1945. University of Pennsylvania radiocarbon dates XVII. Radiocarbon
  16(2) pp.219-237.
:bibtex_type: :misc
---
:bibtex_key: Skeates R. 1994. A radiocarbon date-list for prehistoric Italy (c. 46400
  BP‰ÛÒ2450 BP/400 cal. BC). Radiocarbon dating and Italian prehistory 3 pp.147-288.
:bibtex_type: :misc
---
:bibtex_key: RC 1 1959 45-58
:bibtex_type: :misc
---
- :bibtex_key: AIDA
  :bibtex_type: :dataset
  :title: "{AIDA: Archive of Italian Radiocarbon Dates}"
  :author: "{Palmisano, Alessio and Bevan, Andrew and Kabelindde, A. and Roberts,
    N. and Shennan, S.}"
  :date: "{2022-04-09}"
  :url: "{https://github.com/apalmisano82/AIDA}"
  :version: "{5.0}"
---
- :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