Site types
Cave and

Location

Coordinates (degrees)
041.266° N, 023.414° E
Coordinates (DMS)
041° 15' 00" E, 023° 24' 00" N
Country (ISO 3166)
Greece (GR)

radiocarbon date Radiocarbon dates (60)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
DEM-1519 SΙD:AN-10. Trench IΖ20, Layer 3, posthole 4, alt:96.03 charcoal NA NA 4459±25 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;MyteletsisSyros2010
DEM-1520 SID:AN-2. Trench IA8, Layer 4a, posthole 6, alt:96.74 charcoal NA NA 4471±25 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;MyteletsisSyros2010
DEM-1521 SID:AN-11. Trench IA7, Layer 3, posthole 4, alt:96.85 charcoal NA NA 4447±25 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;MyteletsisSyros2010
DEM-1907 SID:AN-24. Trench IA7, Layer 9, Unit 15, alt:96.03 charcoal NA NA 7085±30 BP Maniatisetal2016;MyteletsisSyros2010
DEM-1908 SID:AN-26. Trench IZ19, Layer3, building B1, Unit 6, alt:96.55 charcoal NA NA 4374±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
DEM-1909 SID:AN-29. Trench T7, Layer 3,building B3, Unit 8, alt:96.58 charcoal NA NA 4388±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
DEM-1910 SID:AN-30. Trench I8, Layer 2a, building A1, alt:97.04 charcoal NA NA 4166±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
DEM-1930 SID:AN-40. Trench T9, Layer 3, building B2, Unit 3, alt:96.84 charcoal NA NA 4402±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
DEM-1931 SID:AN-35. Trench E4, Layer 2c, building B4, Unit 6, alt:96.72 charcoal NA NA 4459±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
DEM-1932 SID:AN-67. Trench I7, Layer 3, building B3 charcoal NA NA 4442±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
DEM-1933 SID:AN-71. Trench I7, Layer 3,building B3, Unit 14, alt:96.89-96.66 charcoal NA NA 4530±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-6001 SID:AN-72. Trench T2, Layer 3, building A2 fruit (charred) NA NA 4105±30 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2016;MyteletsisSyros2010
Ly-6001bis SID:AN-72a. Trench T2, Layer 3, building A3 fruit (charred) NA NA 4105±30 BP Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-6002 SID:AN-13. Trench ΛΑ3, Layer 7, alt:96.07-95.97 charcoal NA NA 5350±35 BP Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-6003 SID:AN-17. Trench IH7, Layer 6, alt:96.76-96.74 charcoal NA NA 4465±35 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-6004 SID:AN-38. Trench E4, Layer 3, building 84, alt:96.85 charcoal NA NA 4635±30 BP Maniatisetal2016;MyteletsisSyros2010
Ly-6005 SID:AN-12. Trench ΛA 3, Layer 6, alt:96.78 charcoal NA NA 5440±30 BP Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-6005bis SID:AN-12a. Trench ΛA 3, Layer 6, alt:96.79 charcoal NA NA 5350±35 BP Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-7022 SID:AN-38a. Trench E4, Layer 3, buildingB4, alt 96.85 charcoal NA NA 4355±35 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
Ly-8908 SID:AN-72b. Trench T2, Layer 3, building A2 fruit (charred) NA NA 4200±35 BP ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010

typological date Typological dates (72)

Classification Estimated age References
Bronze Age NA Maniatis 2016
Bronze Age NA Maniatis 2016
Bronze Age NA Maniatis 2016
Neolithic NA Maniatis 2016
prior to Late Neolithic II NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016
EB I NA NA
Bronze Age NA Maniatis 2016

Bibliographic reference Bibliographic references

@misc{Maniatis 2016,
  
}
@misc{ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;MyteletsisSyros2010,
  
}
@misc{Maniatisetal2016;MyteletsisSyros2010,
  
}
@misc{ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010,
  
}
@misc{ArvanitiManiatis2018;Maniatis2014;Maniatisetal2016;MyteletsisSyros2010,
  
}
@misc{Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010,
  
}
@misc{Vermeersch2019,
  
}
@misc{Banadora,
  
}
@misc{Quiles A.  2014. Radiocarbon 56: 833-850.,
  
}
@misc{CalPal,
  title = {CalPal Edition 2022.9},
  author = {Weninger, Bernie},
  year = {2022},
  month = {sep},
  doi = {1010.5281/zenodo.7422618},
  url = {https://zenodo.org/record/7422618},
  abstract = {CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.},
  copyright = {Creative Commons Attribution 4.0 International, Open Access},
  howpublished = {Zenodo},
  month_numeric = {9}
}
@misc{Katsianis et al. 2020,
  url = {https://rdr.ucl.ac.uk/articles/dataset/Dataset_for_An_Aegean_history_and_archaeology_written_through_radiocarbon_dates/12489137/1},
  note = {Katsianis, Markos; Bevan, Andrew; Styliaras, Giorgos; Maniatis, Yannis (2020): Dataset for: An Aegean history and archaeology written through radiocarbon dates. University College London. Dataset. https://doi.org/10.5522/04/12489137.v1 }
}
@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":"Maniatis 2016","bibtex_type":"misc"}{"bibtex_key":"ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;MyteletsisSyros2010","bibtex_type":"misc"}{"bibtex_key":"Maniatisetal2016;MyteletsisSyros2010","bibtex_type":"misc"}{"bibtex_key":"ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010","bibtex_type":"misc"}{"bibtex_key":"ArvanitiManiatis2018;Maniatis2014;Maniatisetal2016;MyteletsisSyros2010","bibtex_type":"misc"}{"bibtex_key":"Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Banadora","bibtex_type":"misc"}{"bibtex_key":"Quiles A.  2014. Radiocarbon 56: 833-850.","bibtex_type":"misc"}[{"bibtex_key":"CalPal","bibtex_type":"misc","title":"{CalPal Edition 2022.9}","author":"{Weninger, Bernie}","year":"{2022}","month":"{sep}","doi":"{1010.5281/zenodo.7422618}","url":"{https://zenodo.org/record/7422618}","abstract":"{CalPal is scientific freeware for 14C-based chronological research for Holocene and Palaeolithic Archaeology.}","copyright":"{Creative Commons Attribution 4.0 International, Open Access}","howpublished":"{Zenodo}","month_numeric":"{9}"}][{"bibtex_key":"Katsianis et al. 2020","bibtex_type":"misc","url":"{https://rdr.ucl.ac.uk/articles/dataset/Dataset_for_An_Aegean_history_and_archaeology_written_through_radiocarbon_dates/12489137/1}","note":"{Katsianis, Markos; Bevan, Andrew; Styliaras, Giorgos; Maniatis, Yannis (2020): Dataset for: An Aegean history and archaeology written through radiocarbon dates. University College London. Dataset. https://doi.org/10.5522/04/12489137.v1 }"}][{"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: Maniatis 2016
:bibtex_type: :misc
---
:bibtex_key: ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;MyteletsisSyros2010
:bibtex_type: :misc
---
:bibtex_key: Maniatisetal2016;MyteletsisSyros2010
:bibtex_type: :misc
---
:bibtex_key: ArvanitiManiatis2018;Maniatis2014;Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
:bibtex_type: :misc
---
:bibtex_key: ArvanitiManiatis2018;Maniatis2014;Maniatisetal2016;MyteletsisSyros2010
:bibtex_type: :misc
---
:bibtex_key: Maniatisetal2014;Maniatisetal2016;MyteletsisSyros2010
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Banadora
:bibtex_type: :misc
---
:bibtex_key: 'Quiles A.  2014. Radiocarbon 56: 833-850.'
:bibtex_type: :misc
---
- :bibtex_key: CalPal
  :bibtex_type: :misc
  :title: "{CalPal Edition 2022.9}"
  :author: "{Weninger, Bernie}"
  :year: "{2022}"
  :month: "{sep}"
  :doi: "{1010.5281/zenodo.7422618}"
  :url: "{https://zenodo.org/record/7422618}"
  :abstract: "{CalPal is scientific freeware for 14C-based chronological research
    for Holocene and Palaeolithic Archaeology.}"
  :copyright: "{Creative Commons Attribution 4.0 International, Open Access}"
  :howpublished: "{Zenodo}"
  :month_numeric: "{9}"
---
- :bibtex_key: Katsianis et al. 2020
  :bibtex_type: :misc
  :url: "{https://rdr.ucl.ac.uk/articles/dataset/Dataset_for_An_Aegean_history_and_archaeology_written_through_radiocarbon_dates/12489137/1}"
  :note: "{Katsianis, Markos; Bevan, Andrew; Styliaras, Giorgos; Maniatis, Yannis
    (2020): Dataset for: An Aegean history and archaeology written through radiocarbon
    dates. University College London. Dataset. https://doi.org/10.5522/04/12489137.v1
    }"
---
- :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