Site type

Location

Coordinates (degrees)
NA
Coordinates (DMS)
NA
Country (ISO 3166)
Egypt (EG)

radiocarbon date Radiocarbon dates (56)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
KIA-23062 NA NA 3095±30 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
KIA-23062 NA NA 3095±30 BP Manning 2014 Bird et al. 2022
KIA-23062 NA 14C 3095±30 BP Manning et al. 2015 Weninger 2022
KIA-20682 NA NA 3675±35 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
KIA-20682 NA 14C 3675±35 BP Manning et al. 2015 Weninger 2022
KIA-20682 NA NA 3675±35 BP Manning 2014 Bird et al. 2022
KIA-20684 NA NA 3785±25 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
KIA-20684 NA 14C 3785±25 BP Manning et al. 2015 Weninger 2022
KIA-20684 NA NA 3785±25 BP Manning 2014 Bird et al. 2022
Hv-11590 NA NA 6625±115 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
Hv-11590 NA NA 6625±115 BP Manning 2014 Bird et al. 2022
Hv-11590 NA 14C 6625±115 BP Manning et al. 2015 Weninger 2022
KN-3479 NA NA 6880±70 BP Manning 2014 Bird et al. 2022
KN-3479 NA NA 6880±70 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
KN-3479 NA 14C 6880±70 BP Manning et al. 2015 Weninger 2022
Hv-11588 NA NA 7030±435 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
Hv-8692 charcoal NA 14C 7175±210 BP Pachur & Braun 1980 Weninger 2022
KN-3897 bone NA 14C 7360±75 BP Manning et al. 2015 Weninger 2022
KN-3897 NA NA 7360±75 BP Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie Bird et al. 2022
KN-3897 NA NA 7360±75 BP Manning 2014 Bird et al. 2022

typological date Typological dates (6)

Classification Estimated age References
néolithique ancien ? NA Pachur & Braun 1980
Neolithic NA Pachur & Braun 1980
Neolithic NA Pachur & Braun 1980
Neolithic NA Pachur & Braun 1980
Neolithic NA Pachur & Braun 1980
Neolithic NA Pachur & Braun 1980

Bibliographic reference Bibliographic references

@misc{Pachur & Braun 1980,
  
}
@misc{Haas & Haynes 1980; Schild & Wendorf 2001,
  
}
@dataset{EUROEVOL,
  title = {The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset},
  author = {Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.},
  date = {2015-07-09},
  url = {https://discovery.ucl.ac.uk/id/eprint/1469811/},
  urldate = {2023-09-07},
  abstract = {This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.},
  langid = {english}
}
@misc{Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie,
  
}
@misc{Manning 2014,
  
}
@misc{Neumann 1989,
  
}
@misc{ManningTimpson2014,
  
}
@misc{Vermeersch2019,
  
}
@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}
}
@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":"Pachur & Braun 1980","bibtex_type":"misc"}{"bibtex_key":"Haas & Haynes 1980; Schild & Wendorf 2001","bibtex_type":"misc"}[{"bibtex_key":"EUROEVOL","bibtex_type":"dataset","title":"{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}","author":"{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan, S.}","date":"{2015-07-09}","url":"{https://discovery.ucl.ac.uk/id/eprint/1469811/}","urldate":"{2023-09-07}","abstract":"{This dataset comprises the primary data collected for the Cultural Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan, UCL. The dataset offers the largest repository of archaeological site and radiocarbon data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating between the late Mesolithic and Early Bronze Age, as well as the largest collections of archaeobotanical data (>8300 records for 729 different species, genera and families, and the largest collection of animal bone data with >3 million NISP counts and >36,000 biometrics.}","langid":"{english}"}]{"bibtex_key":"Manning K Timpson A. (2014). The Demographic response to Holocene climate change in the Sahara. Quaternary Science Revie","bibtex_type":"misc"}{"bibtex_key":"Manning 2014","bibtex_type":"misc"}{"bibtex_key":"Neumann 1989","bibtex_type":"misc"}{"bibtex_key":"ManningTimpson2014","bibtex_type":"misc"}{"bibtex_key":"Vermeersch2019","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":"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: Pachur & Braun 1980
:bibtex_type: :misc
---
:bibtex_key: Haas & Haynes 1980; Schild & Wendorf 2001
:bibtex_type: :misc
---
- :bibtex_key: EUROEVOL
  :bibtex_type: :dataset
  :title: "{The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset}"
  :author: "{Manning, K. and Timpson, A. and Colledge, S. and Crema, E. and Shennan,
    S.}"
  :date: "{2015-07-09}"
  :url: "{https://discovery.ucl.ac.uk/id/eprint/1469811/}"
  :urldate: "{2023-09-07}"
  :abstract: "{This dataset comprises the primary data collected for the Cultural
    Evolution of Neolithic Europe project (EUROEVOL), led by Professor Stephen Shennan,
    UCL. The dataset offers the largest repository of archaeological site and radiocarbon
    data from Neolithic Europe (4,757 sites and 14,131 radiocarbon samples), dating
    between the late Mesolithic and Early Bronze Age, as well as the largest collections
    of archaeobotanical data (>8300 records for 729 different species, genera and
    families, and the largest collection of animal bone data with >3 million NISP
    counts and >36,000 biometrics.}"
  :langid: "{english}"
---
:bibtex_key: Manning K Timpson A. (2014). The Demographic response to Holocene climate
  change in the Sahara. Quaternary Science Revie
:bibtex_type: :misc
---
:bibtex_key: Manning 2014
:bibtex_type: :misc
---
:bibtex_key: Neumann 1989
:bibtex_type: :misc
---
:bibtex_key: ManningTimpson2014
:bibtex_type: :misc
---
:bibtex_key: Vermeersch2019
: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: 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