Site types
Open air, settlement, and

Location

Coordinates (degrees)
NA
Coordinates (DMS)
NA
Country (ISO 3166)
Italy (IT)

radiocarbon date Radiocarbon dates (24)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
LTL-1144A charcoal NA NA 5761±65 BP Pessina 2006b
LTL-4252A seed Triticum timopheevii AMS 5743±45 BP Pessina et al. 2018
LTL-4254A seed Hordeum AMS 5560±45 BP Pessina et al. 2018
Hd-23489 charcoal NA NA 6106±32 BP Pessina 2006b
LTL-950A charcoal NA NA 6069±55 BP Pessina 2006b
LTL-1143A charcoal NA NA 5863±55 BP Pessina 2006b
LTL-4247A seed Triticum turgidum dicoccum AMS 6127±40 BP Pessina et al. 2018
LTL-4249A seed Triticum turgidum dicoccum AMS 6112±45 BP Pessina et al. 2018
LTL-4250A seed Poaceae AMS 6106±40 BP Pessina et al. 2018
LTL-4253A seed Triticum turgidum dicoccum AMS 6077±40 BP Pessina et al. 2018
Hd-23489 Feature 1 NA NA 6106±32 BP Pearce 2013a
LTL-1143A Feature 3 NA NA 5863±55 BP Pearce 2013a
LTL-1144A Feature 3 NA NA 5761±65 BP Pearce 2013a
LTL-4247A seed Triticum turgidum dicoccum NA 6127±40 BP Martínez-Grau et al 2020
LTL-4249A seed Triticum turgidum dicoccum NA 6112±45 BP Martínez-Grau et al 2020
LTL-4250A seed Poaceae NA 6106±40 BP Martínez-Grau et al 2020
LTL-4252A seed Triticum timopheevii NA 5743±45 BP Martínez-Grau et al 2020
LTL-4253A seed Triticum turgidum dicoccum NA 6077±40 BP Martínez-Grau et al 2020
LTL-4254A seed Hordeum NA 5560±45 BP Martínez-Grau et al 2020
LTL-950A Feature 2 NA NA 6069±55 BP Pearce 2013a

typological date Typological dates (20)

Classification Estimated age References
EarlyNeolithic NA Pessina 2006b
Sammardenchia NA NA
EarlyNeolithic NA Pessina et al. 2018
Sammardenchia NA NA
EarlyNeolithic NA Pessina et al. 2018
Sammardenchia NA NA
EarlyNeolithic NA Pessina 2006b
Sammardenchia NA NA
EarlyNeolithic NA Pessina 2006b
Sammardenchia NA NA
EarlyNeolithic NA Pessina 2006b
Sammardenchia NA NA
EarlyNeolithic NA Pessina et al. 2018
Sammardenchia NA NA
EarlyNeolithic NA Pessina et al. 2018
Sammardenchia NA NA
EarlyNeolithic NA Pessina et al. 2018
Sammardenchia NA NA
EarlyNeolithic NA Pessina et al. 2018
Sammardenchia NA NA

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Pessina 2006b]
  • No bibliographic information available. [Pessina et al. 2018]
  • No bibliographic information available. [Pearce 2013a]
  • No bibliographic information available. [Martínez-Grau et al 2020]
  • No bibliographic information available. [Pearce 2013]
  • No bibliographic information available. [Gabriele 2009]
  • https://doi.org/10.5281/zenodo.4541470 [AgriChange]
  • https://github.com/apalmisano82/AIDA [AIDA]
  • 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]
@misc{Pessina 2006b,
  
}
@misc{Pessina et al. 2018,
  
}
@misc{Pearce 2013a,
  
}
@misc{Martínez-Grau et al 2020,
  
}
@misc{Pearce 2013,
  
}
@misc{Gabriele 2009,
  
}
@misc{AgriChange,
  url = {https://doi.org/10.5281/zenodo.4541470},
  note = {Martínez-Grau, Héctor, Morell-Rovira, Berta, & Antolín, Ferran. (2020). Radiocarbon dates associated to Neolithic contexts (ca. 5900 – 2000 cal BC) from the northwestern Mediterranean Arch to the High Rhine area [Data set]. In Journal of Open Archaeology Data (Vol. 9, Number 1, pp. 1–10). Zenodo. https://doi.org/10.5281/zenodo.4541470}
}
@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}
}
@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":"Pessina 2006b","bibtex_type":"misc"}{"bibtex_key":"Pessina et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Pearce 2013a","bibtex_type":"misc"}{"bibtex_key":"Martínez-Grau et al 2020","bibtex_type":"misc"}{"bibtex_key":"Pearce 2013","bibtex_type":"misc"}{"bibtex_key":"Gabriele 2009","bibtex_type":"misc"}[{"bibtex_key":"AgriChange","bibtex_type":"misc","url":"{https://doi.org/10.5281/zenodo.4541470}","note":"{Martínez-Grau, Héctor, Morell-Rovira, Berta, & Antolín, Ferran. (2020). Radiocarbon dates associated to Neolithic contexts (ca. 5900 – 2000 cal BC) from the northwestern Mediterranean Arch to the High Rhine area [Data set]. In Journal of Open Archaeology Data (Vol. 9, Number 1, pp. 1–10). Zenodo. https://doi.org/10.5281/zenodo.4541470}"}][{"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":"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: Pessina 2006b
:bibtex_type: :misc
---
:bibtex_key: Pessina et al. 2018
:bibtex_type: :misc
---
:bibtex_key: Pearce 2013a
:bibtex_type: :misc
---
:bibtex_key: Martínez-Grau et al 2020
:bibtex_type: :misc
---
:bibtex_key: Pearce 2013
:bibtex_type: :misc
---
:bibtex_key: Gabriele 2009
:bibtex_type: :misc
---
- :bibtex_key: AgriChange
  :bibtex_type: :misc
  :url: "{https://doi.org/10.5281/zenodo.4541470}"
  :note: "{Martínez-Grau, Héctor, Morell-Rovira, Berta, & Antolín, Ferran. (2020).
    Radiocarbon dates associated to Neolithic contexts (ca. 5900 – 2000 cal BC) from
    the northwestern Mediterranean Arch to the High Rhine area [Data set]. In Journal
    of Open Archaeology Data (Vol. 9, Number 1, pp. 1–10). Zenodo. https://doi.org/10.5281/zenodo.4541470}"
---
- :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: 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