Site type

Location

Coordinates (degrees)
003.996° N, 009.822° E
Coordinates (DMS)
003° 59' 00" E, 009° 49' 00" N
Country (ISO 3166)
Cameroon (CMR)

radiocarbon date Radiocarbon dates (78)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-245103 NA NA 220±40 BP 424–72 cal BP Gouem Gouem 2010/2011: 303; Eggert/Seidensticker 2016:79 Tab. 4.2 Bird et al. 2022
Beta-245103 F. 08 (40-50 cm) - NA NA 220±40 BP 424–72 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245104 F. 11 (30-50 cm) - NA NA 190±40 BP 306–60 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245104 NA NA 190±40 BP 306–60 cal BP Saulieu et al. 2017 Bird et al. 2022
Beta-245105 NA NA 760±40 BP 734–651 cal BP Saulieu et al. 2017 Bird et al. 2022
Beta-245105 F. 15 (40-50 cm) - NA NA 760±40 BP 734–651 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245106 NA NA 530±40 BP 630–503 cal BP Saulieu et al. 2017 Bird et al. 2022
Beta-245106 F. 16 (60-70 cm) - NA NA 530±40 BP 630–503 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245107 NA NA 130±40 BP 279–6 cal BP Saulieu et al. 2017 Bird et al. 2022
Beta-245107 F. 22 (110-130 cm) - NA NA 130±40 BP 279–6 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245108 NA NA 770±40 BP 738–654 cal BP Saulieu et al. 2017 Bird et al. 2022
Beta-245108 F. 25 (50-60 cm) - NA NA 770±40 BP 738–654 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245109 F. 27 (120-130 cm) - NA NA 790±50 BP 789–655 cal BP Oslisly et al. 2013; de Saulieu et al. 2017: 25 Tab. 1
Beta-245110 F. 28 (60-80 cm) - NA NA 250±50 BP 468–139 cal BP Oslisly et al. 2013; de Saulieu et al. 2017: 25 Tab. 1
Beta-245111 NA NA 730±40 BP 728–566 cal BP Oslisly 2013; Saulieu et al. 2017 Bird et al. 2022
Beta-245111 F. 31 (30-40 cm) - NA NA 730±40 BP 728–566 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245112 F. 32 (60-90 cm) - NA NA 920±50 BP 920–732 cal BP Oslisly et al. 2013; de Saulieu et al. 2017: 25 Tab. 1
Beta-245113 F. 34 (60-80 cm) - NA NA 760±40 BP 734–651 cal BP de Saulieu et al. 2017: 25 Tab. 1
Beta-245113 NA NA 760±40 BP 734–651 cal BP Oslisly 2013; Saulieu et al. 2017 Bird et al. 2022
Beta-245114 F. 35 (100-120 cm) - NA NA 260±50 BP 470–143 cal BP de Saulieu et al. 2017: 25 Tab. 1

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{de Saulieu et al. 2017: 25 Tab. 1,
  
}
@misc{Oslisly et al. 2013; de Saulieu et al. 2017: 25 Tab. 1,
  
}
@misc{Gouem Gouem 2010/2011: 303; Eggert/Seidensticker 2016:79 Tab. 4.2,
  
}
@misc{Saulieu et al. 2017,
  
}
@misc{Oslisly 2013; Saulieu et al. 2017,
  
}
@misc{Oslisly R. 2008. Etude archéologique du site de Dibamba Yassa à Douala. Rapport d’expertise d’archéologie préventive AES Sonel p 139.,
  
}
@misc{Clist 2004/05,
  
}
@misc{Clist 2018: 254 Tab. 19.2,
  
}
@misc{aDRAC,
  url = {https://github.com/dirkseidensticker/aDRAC},
  note = {Seidensticker, D. & W. Hubau (2021), ’aDRAC. Archive des datations radiocarbones d’Afrique centrale’, Version 2.0. https://github.com/dirkseidensticker/aDRAC}
}
@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":"de Saulieu et al. 2017: 25 Tab. 1","bibtex_type":"misc"}{"bibtex_key":"Oslisly et al. 2013; de Saulieu et al. 2017: 25 Tab. 1","bibtex_type":"misc"}{"bibtex_key":"Gouem Gouem 2010/2011: 303; Eggert/Seidensticker 2016:79 Tab. 4.2","bibtex_type":"misc"}{"bibtex_key":"Saulieu et al. 2017","bibtex_type":"misc"}{"bibtex_key":"Oslisly 2013; Saulieu et al. 2017","bibtex_type":"misc"}{"bibtex_key":"Oslisly R. 2008. Etude archéologique du site de Dibamba Yassa à Douala. Rapport d’expertise d’archéologie préventive AES Sonel p 139.","bibtex_type":"misc"}{"bibtex_key":"Clist 2004/05","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 254 Tab. 19.2","bibtex_type":"misc"}[{"bibtex_key":"aDRAC","bibtex_type":"misc","url":"{https://github.com/dirkseidensticker/aDRAC}","note":"{Seidensticker, D. & W. Hubau (2021), ’aDRAC. Archive des datations radiocarbones d’Afrique centrale’, Version 2.0. https://github.com/dirkseidensticker/aDRAC}"}][{"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: 'de Saulieu et al. 2017: 25 Tab. 1'
:bibtex_type: :misc
---
:bibtex_key: 'Oslisly et al. 2013; de Saulieu et al. 2017: 25 Tab. 1'
:bibtex_type: :misc
---
:bibtex_key: 'Gouem Gouem 2010/2011: 303; Eggert/Seidensticker 2016:79 Tab. 4.2'
:bibtex_type: :misc
---
:bibtex_key: Saulieu et al. 2017
:bibtex_type: :misc
---
:bibtex_key: Oslisly 2013; Saulieu et al. 2017
:bibtex_type: :misc
---
:bibtex_key: Oslisly R. 2008. Etude archéologique du site de Dibamba Yassa à Douala.
  Rapport d’expertise d’archéologie préventive AES Sonel p 139.
:bibtex_type: :misc
---
:bibtex_key: Clist 2004/05
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 254 Tab. 19.2'
:bibtex_type: :misc
---
- :bibtex_key: aDRAC
  :bibtex_type: :misc
  :url: "{https://github.com/dirkseidensticker/aDRAC}"
  :note: "{Seidensticker, D. & W. Hubau (2021), ’aDRAC. Archive des datations radiocarbones
    d’Afrique centrale’, Version 2.0. https://github.com/dirkseidensticker/aDRAC}"
---
- :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