Site type

Location

Coordinates (degrees)
005.435° S, 012.962° E
Coordinates (DMS)
005° 26' 00" E, 012° 57' 00" S
Country (ISO 3166)
Congo, The Democratic Republic of the (COD)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-324747 Lukula Charcoal_wood NA NA 2220±30 BP Hubau et al. 2014
Beta-329502 Lukula Charcoal_endocarp_elaeis NA NA 910±30 BP Hubau et al. 2014
Beta-329503 Lukula Charcoal_endocarp_elaeis NA NA 1190±30 BP Hubau et al. 2014
Poz-33005 Charcoal_wood NA NA 1060±30 BP Hubau et al. 2014
Beta-324748 NA NA 2190±30 BP Hubau et al. 2013; Garcin et al. 2018 Bird et al. 2022
Beta-329503 Elaeis guineensis NA NA 900±30 BP Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 Bird et al. 2022
Beta-329504 Elaeis guineensis NA NA 1200±30 BP Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 239 Tab. 18.3 Bird et al. 2022
Poz-33006 Charcoal NA NA 1060±30 BP de Maret 1992a; Garcin et al. 2018 Bird et al. 2022

typological date Typological dates (2)

Classification Estimated age References
(MIA) NA Hubau et al. 2014
(MIA) NA Hubau et al. 2014

Bibliographic reference Bibliographic references

@misc{Hubau et al. 2014,
  
}
@misc{Hubau et al. 2013; Garcin et al. 2018,
  
}
@misc{Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2,
  
}
@misc{Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 239 Tab. 18.3,
  
}
@misc{de Maret 1992a; 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":"Hubau et al. 2014","bibtex_type":"misc"}{"bibtex_key":"Hubau et al. 2013; Garcin et al. 2018","bibtex_type":"misc"}{"bibtex_key":"Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2","bibtex_type":"misc"}{"bibtex_key":"Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 239 Tab. 18.3","bibtex_type":"misc"}{"bibtex_key":"de Maret 1992a; 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: Hubau et al. 2014
:bibtex_type: :misc
---
:bibtex_key: Hubau et al. 2013; Garcin et al. 2018
:bibtex_type: :misc
---
:bibtex_key: 'Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2'
:bibtex_type: :misc
---
:bibtex_key: 'Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 239 Tab.
  18.3'
:bibtex_type: :misc
---
:bibtex_key: de Maret 1992a; 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