Site types
Settlement and

Location

Coordinates (degrees)
041.513° N, 012.755° E
Coordinates (DMS)
041° 30' 00" E, 012° 45' 00" N
Country (ISO 3166)
Italy (IT)

radiocarbon date Radiocarbon dates (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GrN-11669 hut II; Hut feature II - fireplace; fireplace in hut-feature II charcoal NA NA 2670±30 BP Skeates and Whitehouse 1994 Palmisano et al. 2022
GrN-16467 hut VI, layer B NA NA 2620±55 BP Skeates and Whitehouse 1994 Palmisano et al. 2022
GrN-16468 hut VI, layer B NA NA 2455±30 BP Skeates and Whitehouse 1994 Palmisano et al. 2022
GrN-16469 hut VI, layer B NA NA 2595±35 BP Skeates and Whitehouse 1994 Palmisano et al. 2022
GrN-16471 hut VI, layer B NA NA 2555±35 BP Skeates and Whitehouse 1994 Palmisano et al. 2022
GrN-16472 hut VI, layer B NA NA 2585±65 BP Skeates and Whitehouse 1994 Palmisano et al. 2022
GrN-11669 charcoal NA NA 2670±30 BP Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.; Nijboer, A.J, Van Der Plicht, J, Betti Sestieri, A.M., De Santis, A. 2000. A high chronology for the early Iron Age in central Italy. Palaeohistoria. Institute of Archaeology. A.A. Balkema Publishers. pp.163 - 182; http://radon-b.ufg.uni-kiel.de/samples/7040
GrN-16467 NA NA 2620±55 BP Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.
GrN-16468 NA NA 2455±30 BP Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.
GrN-16469 NA NA 2595±35 BP Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.
GrN-16471 NA NA 2555±35 BP Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.
GrN-16472 NA NA 2585±65 BP Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.
GrN-11669 charcoal NA NA 2670±30 BP Nijboer et al. 1999 Bird et al. 2022
GrN-16467 NA NA 2620±55 BP Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150. Bird et al. 2022
GrN-16468 NA NA 2455±30 BP Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150. Bird et al. 2022
GrN-16469 NA NA 2595±35 BP Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150. Bird et al. 2022
GrN-16471 NA NA 2555±35 BP Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150. Bird et al. 2022
GrN-16472 NA NA 2585±65 BP Palmisano2017_Italy Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Skeates and Whitehouse 1994,
  
}
@misc{Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.; Nijboer, A.J, Van Der Plicht, J, Betti Sestieri, A.M., De Santis, A. 2000. A high chronology for the early Iron Age in central Italy. Palaeohistoria. Institute of Archaeology. A.A. Balkema Publishers. pp.163 - 182; http://radon-b.ufg.uni-kiel.de/samples/7040,
  
}
@misc{Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.,
  
}
@misc{Nijboer et al. 1999,
  
}
@misc{Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150.,
  
}
@misc{Palmisano2017_Italy,
  
}
@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 and Whitehouse 1994","bibtex_type":"misc"}{"bibtex_key":"Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.; Nijboer, A.J, Van Der Plicht, J, Betti Sestieri, A.M., De Santis, A. 2000. A high chronology for the early Iron Age in central Italy. Palaeohistoria. Institute of Archaeology. A.A. Balkema Publishers. pp.163 - 182; http://radon-b.ufg.uni-kiel.de/samples/7040","bibtex_type":"misc"}{"bibtex_key":"Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.","bibtex_type":"misc"}{"bibtex_key":"Nijboer et al. 1999","bibtex_type":"misc"}{"bibtex_key":"Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150.","bibtex_type":"misc"}{"bibtex_key":"Palmisano2017_Italy","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 and Whitehouse 1994
:bibtex_type: :misc
---
:bibtex_key: Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric
  Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.; Nijboer, A.J, Van
  Der Plicht, J, Betti Sestieri, A.M., De Santis, A. 2000. A high chronology for the
  early Iron Age in central Italy. Palaeohistoria. Institute of Archaeology. A.A.
  Balkema Publishers. pp.163 - 182; http://radon-b.ufg.uni-kiel.de/samples/7040
:bibtex_type: :misc
---
:bibtex_key: Skeates, R. and Whitehouse, R., 1996. New radiocarbon dates for prehistoric
  Italy 1. The Accordia Research Papers, 5(1993-94), pp.137-150.
:bibtex_type: :misc
---
:bibtex_key: Nijboer et al. 1999
:bibtex_type: :misc
---
:bibtex_key: Skeates R. and Whitehouse R. 1996. New radiocarbon dates for prehistoric
  Italy 1. The Accordia Research Papers 5(1993-94) pp.137-150.
:bibtex_type: :misc
---
:bibtex_key: Palmisano2017_Italy
: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