Site type

Location

Coordinates (degrees)
002.501° N, 012.025° E
Coordinates (DMS)
002° 30' 00" E, 012° 01' 00" N
Country (ISO 3166)
Cameroon (CMR)

radiocarbon date Radiocarbon dates (22)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Poz-57846 F16 - NA NA 2270±30 BP 2347–2157 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
Poz-57847 F26 - NA NA 2270±30 BP 2347–2157 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36074 F3 Charcoal_endocarp_elaeis NA NA 2255±30 BP 2341–2156 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36075 F5 Charcoal_endocarp_elaeis NA NA 2295±30 BP 2355–2177 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36076 F10 Charcoal_endocarp_elaeis NA NA 2240±35 BP 2340–2150 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36077 F14 Charcoal_endocarp_elaeis NA NA 2265±30 BP 2345–2156 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36078 F15 Charcoal_endocarp_elaeis NA NA 2280±30 BP 2350–2157 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36079 F18 Charcoal_endocarp_elaeis NA NA 2165±30 BP 2305–2009 cal BP de Saulieu et al. 2015: 405 Tab. 1; Garcin et al. 2018
SacA-36080 F21 Charcoal_endocarp_elaeis NA NA 2255±30 BP 2341–2156 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36081 F23 Charcoal_endocarp_elaeis NA NA 2245±30 BP 2339–2152 cal BP de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
SacA-36082 F27 Charcoal_endocarp_elaeis NA NA 2290±30 BP 2353–2160 cal BP e Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018
Poz-57846 NA NA 2270±30 BP 2347–2157 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
Poz-57847 NA NA 2270±30 BP 2347–2157 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36074 NA NA 2260±30 BP 2343–2156 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36075 NA NA 2300±30 BP 2355–2179 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36076 NA NA 2240±35 BP 2340–2150 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36077 NA NA 2270±30 BP 2347–2157 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36078 NA NA 2280±30 BP 2350–2157 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36079 NA NA 2170±30 BP 2308–2055 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022
SacA-36080 NA NA 2260±30 BP 2343–2156 cal BP Saulieu et al. 2015; Garcin et al. 2018 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{de Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018,
  
}
@misc{de Saulieu et al. 2015: 405 Tab. 1; Garcin et al. 2018,
  
}
@misc{e Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018,
  
}
@misc{Saulieu et al. 2015; Garcin et al. 2018,
  
}
@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. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"de Saulieu et al. 2015: 405 Tab. 1; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"e Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Saulieu et al. 2015; Garcin et al. 2018","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. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018'
:bibtex_type: :misc
---
:bibtex_key: 'de Saulieu et al. 2015: 405 Tab. 1; Garcin et al. 2018'
:bibtex_type: :misc
---
:bibtex_key: 'e Saulieu et al. 2015: 406 Tab. 1, 409 Fig. 4; Garcin et al. 2018'
:bibtex_type: :misc
---
:bibtex_key: Saulieu et al. 2015; Garcin et al. 2018
: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