Site type

Location

Coordinates (degrees)
040.447° N, 025.483° E
Coordinates (DMS)
040° 26' 00" E, 025° 28' 00" N
Country (ISO 3166)
Greece (GR)

radiocarbon date Radiocarbon dates (49)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
DEM-1890 bone NA NA 5531±30 BP Vermeersch2019 Bird et al. 2022
DEM-1892 marine shell NA NA 5331±30 BP Vermeersch2019 Bird et al. 2022
DEM-1902 bone NA NA 4261±30 BP Maniatis 2016 Bird et al. 2022
DEM-1920 marine shell NA NA 5795±30 BP Maniatis 2016 Bird et al. 2022
DEM-1937 marine shell NA NA 5710±30 BP Vermeersch2019 Bird et al. 2022
DEM-1938 marine shell NA NA 6318±30 BP Vermeersch2019 Bird et al. 2022
DEM-1960 marine shell NA NA 5718±30 BP Vermeersch2019 Bird et al. 2022
DEM-1966 marine shell NA NA 5714±30 BP Vermeersch2019 Bird et al. 2022
DEM-2004 marine shell NA NA 5699±30 BP Vermeersch2019 Bird et al. 2022
DEM-2005 marine shell NA NA 5547±30 BP Vermeersch2019 Bird et al. 2022
DEM-2006 marine shell NA NA 5203±30 BP Maniatis 2014: 207 Maniatis 2011: Fig. 11 Bird et al. 2022
DEM-2085 bone NA NA 5694±30 BP Vermeersch2019 Bird et al. 2022
DEM-24 bone NA NA 3668±45 BP Vermeersch2019 Bird et al. 2022
DEM-25 bone NA NA 3768±40 BP Facorellis et al. 2001 1029-1048 Bird et al. 2022
DEM-337 bone NA NA 3477±35 BP Vermeersch2019 Bird et al. 2022
DEM-338 bone NA NA 3476±37 BP Vermeersch2019 Bird et al. 2022
DEM-339 bone NA NA 3554±31 BP Vermeersch2019 Bird et al. 2022
DEM-383 bone NA NA 3469±35 BP Vermeersch2019 Bird et al. 2022
DEM-467 bone NA NA 4225±34 BP Vermeersch2019 Bird et al. 2022
DEM-468 bone NA NA 5233±54 BP Vermeersch2019 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Facorellis 2001. Radiocarbon 43: 1037. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.,
  
}
@misc{Vermeersch2019,
  
}
@misc{Shennan & Steele 2000,
  
}
@misc{Maniatis 2016,
  
}
@misc{Maniatis 2014: 207 Maniatis 2011: Fig. 11,
  
}
@misc{Facorellis et al. 2001 1029-1048,
  
}
@misc{Adam E. 1996. Eraul 76: 63-71.,
  
}
@misc{Sampson et al. 1998: 283,
  
}
@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":"Facorellis 2001. Radiocarbon 43: 1037. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Shennan & Steele 2000","bibtex_type":"misc"}{"bibtex_key":"Maniatis 2016","bibtex_type":"misc"}{"bibtex_key":"Maniatis 2014: 207 Maniatis 2011: Fig. 11","bibtex_type":"misc"}{"bibtex_key":"Facorellis et al. 2001 1029-1048","bibtex_type":"misc"}{"bibtex_key":"Adam E. 1996. Eraul 76: 63-71.","bibtex_type":"misc"}{"bibtex_key":"Sampson et al. 1998: 283","bibtex_type":"misc"}[{"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: 'Facorellis 2001. Radiocarbon 43: 1037. Facorellis Y.  2013. Radiocarbon
  55: 1432-1442.'
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Shennan & Steele 2000
:bibtex_type: :misc
---
:bibtex_key: Maniatis 2016
:bibtex_type: :misc
---
:bibtex_key: 'Maniatis 2014: 207 Maniatis 2011: Fig. 11'
:bibtex_type: :misc
---
:bibtex_key: Facorellis et al. 2001 1029-1048
:bibtex_type: :misc
---
:bibtex_key: 'Adam E. 1996. Eraul 76: 63-71.'
:bibtex_type: :misc
---
:bibtex_key: 'Sampson et al. 1998: 283'
:bibtex_type: :misc
---
- :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