Site type

Location

Coordinates (degrees)
000.218° S, 011.588° E
Coordinates (DMS)
000° 13' 00" E, 011° 35' 00" S
Country (ISO 3166)
Gabon (GAB)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-16742 - Charcoal_wood NA NA 7670±80 BP Clist 1989; Clist 2004/2005: Annex 2
Gif A-95561 - Charcoal_wood NA NA 10320±110 BP Clist 2004/2005: Annex 2
Gif-?2 1 Charcoal_wood NA NA 2205±45 BP Clist 2004/2005: Annex 2
Gif-1642 - - NA NA 7670±80 BP Assoko Ndong 2001; Garcin et al. 2018
Gif-9864 - Charcoal_wood NA NA 6760±120 BP Assoko Ndong 2001; Clist 2004/2005: Annex 2; Garcin et al. 2018
Gif-9865 - Charcoal_wood NA NA 9170±100 BP Assoko Ndong 2001; Clist 2004/2005: Annex 2; Garcin et al. 2018
OxA-7601 1 Charcoal_wood NA NA 2370±35 BP Assoko Ndong 2001; Clist 2004/2005:509 Tab. 6-56, Annex 2; Eggert et al. 2006: 277 Tab. 2
Beta-16742 NA NA 7670±80 BP Nlend Nlend 2013/2014; Eggert/Seidensticker 2016:83 Tab. 4.2 Bird et al. 2022
Gif-1642 NA NA 7670±80 BP van Noten 1982 Bird et al. 2022
Gif-9864 Charcoal NA NA 6760±120 BP Assoko Ndong 2001; Garcin et al. 2018 Bird et al. 2022
Gif-9865 Charcoal NA NA 9170±100 BP Assoko Ndong 2001; Clist 2004/05; Garcin et al. 2018 Bird et al. 2022
OxA-7601 NA NA 2370±35 BP Lavachery 2001; Garcin et al. 2018 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Clist 1989; Clist 2004/2005: Annex 2,
  
}
@misc{Clist 2004/2005: Annex 2,
  
}
@misc{Assoko Ndong 2001; Garcin et al. 2018,
  
}
@misc{Assoko Ndong 2001; Clist 2004/2005: Annex 2; Garcin et al. 2018,
  
}
@misc{Assoko Ndong 2001; Clist 2004/2005:509 Tab. 6-56, Annex 2; Eggert et al. 2006: 277 Tab. 2,
  
}
@misc{Nlend Nlend 2013/2014; Eggert/Seidensticker 2016:83 Tab. 4.2,
  
}
@misc{van Noten 1982,
  
}
@misc{Assoko Ndong 2001; Clist 2004/05; Garcin et al. 2018,
  
}
@misc{Lavachery 2001; 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":"Clist 1989; Clist 2004/2005: Annex 2","bibtex_type":"misc"}{"bibtex_key":"Clist 2004/2005: Annex 2","bibtex_type":"misc"}{"bibtex_key":"Assoko Ndong 2001; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Assoko Ndong 2001; Clist 2004/2005: Annex 2; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Assoko Ndong 2001; Clist 2004/2005:509 Tab. 6-56, Annex 2; Eggert et al. 2006: 277 Tab. 2","bibtex_type":"misc"}{"bibtex_key":"Nlend Nlend 2013/2014; Eggert/Seidensticker 2016:83 Tab. 4.2","bibtex_type":"misc"}{"bibtex_key":"van Noten 1982","bibtex_type":"misc"}{"bibtex_key":"Assoko Ndong 2001; Clist 2004/05; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Lavachery 2001; 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: 'Clist 1989; Clist 2004/2005: Annex 2'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2004/2005: Annex 2'
:bibtex_type: :misc
---
:bibtex_key: Assoko Ndong 2001; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: 'Assoko Ndong 2001; Clist 2004/2005: Annex 2; Garcin et al. 2018'
:bibtex_type: :misc
---
:bibtex_key: 'Assoko Ndong 2001; Clist 2004/2005:509 Tab. 6-56, Annex 2; Eggert et
  al. 2006: 277 Tab. 2'
:bibtex_type: :misc
---
:bibtex_key: Nlend Nlend 2013/2014; Eggert/Seidensticker 2016:83 Tab. 4.2
:bibtex_type: :misc
---
:bibtex_key: van Noten 1982
:bibtex_type: :misc
---
:bibtex_key: Assoko Ndong 2001; Clist 2004/05; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: Lavachery 2001; 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