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-14 bone NA NA 3497±45 BP Facorellis 2001. Radiocarbon 43: 1037. Facorellis Y. 2013. Radiocarbon 55: 1432-1442. Bird et al. 2022
DEM-15 bone NA NA 3469±45 BP Vermeersch2019 Bird et al. 2022
DEM-1553 bone NA NA 3576±30 BP Vermeersch2019 Bird et al. 2022
DEM-1555 bone NA NA 3542±30 BP Vermeersch2019 Bird et al. 2022
DEM-1556 bone NA NA 3548±30 BP Vermeersch2019 Bird et al. 2022
DEM-1561 bone NA NA 3506±30 BP Vermeersch2019 Bird et al. 2022
DEM-1563 bone NA NA 3527±30 BP Vermeersch2019 Bird et al. 2022
DEM-1564 bone NA NA 3421±30 BP Vermeersch2019 Bird et al. 2022
DEM-1565 bone NA NA 3510±30 BP Vermeersch2019 Bird et al. 2022
DEM-1566 bone NA NA 3417±30 BP Shennan & Steele 2000 Bird et al. 2022
DEM-16 bone NA NA 3421±45 BP Shennan & Steele 2000 Bird et al. 2022
DEM-1601 bone NA NA 3539±30 BP Vermeersch2019 Bird et al. 2022
DEM-1612 marine shell NA NA 3802±30 BP Vermeersch2019 Bird et al. 2022
DEM-1620 marine shell NA NA 3800±30 BP Vermeersch2019 Bird et al. 2022
DEM-17 bone NA NA 3526±45 BP Vermeersch2019 Bird et al. 2022
DEM-1869 bone NA NA 4192±30 BP Vermeersch2019 Bird et al. 2022
DEM-1870 bone NA NA 4220±30 BP Vermeersch2019 Bird et al. 2022
DEM-1874 marine shell NA NA 5642±30 BP Vermeersch2019 Bird et al. 2022
DEM-1888 bone NA NA 5523±30 BP Vermeersch2019 Bird et al. 2022
DEM-1889 bone NA NA 5514±30 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