DEM-26

radiocarbon date Radiocarbon date from Archontiko Yannitsa
Record created in XRONOS on 2022-12-02 00:50:45 UTC. Last updated on 2022-12-02 00:50:45 UTC. See changelog for details.
Contributors: XRONOS development team

Measurement

Age (uncal BP)
3947
Error (±)
37
Lab
NA
Method
NA
Sample material
charcoal
Sample taxon
NA

Calibration

Calibration curve
IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP)
4518 - 4470
4448 - 4290
4267 - 4255

Context

Site
Archontiko Yannitsa
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (9)

@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}
}
@misc{Vermeersch2019,
  
}
@misc{Maniatis 2011,
  
}
@misc{Maniatis et al. 2016: Table 1,
  
}
@misc{Sampson 1997: 538; 530 Table 84,
  
}
@misc{Facorellis 2013,
  
}
@misc{Facorellis et al. 2001 1029-1048,
  
}
@misc{Kozlowski J. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals and Modern Humans in Europe n Peabody Museum Bulletin 8: 77-106 Facorellis 2001. Radiocarbon 43: 1037. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.,
  
}
{"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":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"Maniatis 2011","bibtex_type":"misc"}{"bibtex_key":"Maniatis et al. 2016: Table 1","bibtex_type":"misc"}{"bibtex_key":"Sampson 1997: 538; 530 Table 84","bibtex_type":"misc"}{"bibtex_key":"Facorellis 2013","bibtex_type":"misc"}{"bibtex_key":"Facorellis et al. 2001 1029-1048","bibtex_type":"misc"}{"bibtex_key":"Kozlowski J. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals and Modern Humans in Europe n Peabody Museum Bulletin 8: 77-106 Facorellis 2001. Radiocarbon 43: 1037. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.","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: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: Maniatis 2011
:bibtex_type: :misc
---
:bibtex_key: 'Maniatis et al. 2016: Table 1'
:bibtex_type: :misc
---
:bibtex_key: 'Sampson 1997: 538; 530 Table 84'
:bibtex_type: :misc
---
:bibtex_key: Facorellis 2013
:bibtex_type: :misc
---
:bibtex_key: Facorellis et al. 2001 1029-1048
:bibtex_type: :misc
---
:bibtex_key: 'Kozlowski J. 2000 In: Bar-Yosef & Pilbeam The Geography of Neandertals
  and Modern Humans in Europe n Peabody Museum Bulletin 8: 77-106 Facorellis 2001.
  Radiocarbon 43: 1037. Facorellis Y.  2013. Radiocarbon 55: 1432-1442.'
:bibtex_type: :misc

Changelog