Site type

Location

Coordinates (degrees)
005.070° S, 015.010° E
Coordinates (DMS)
005° 04' 00" E, 015° 00' 00" S
Country (ISO 3166)
Congo, The Democratic Republic of the (COD)

radiocarbon date Radiocarbon dates (32)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-333286 Tsud Charcoal_wood NA NA 250±30 BP 428–150 cal BP Clist 2018: 237 Tab. 18.1
Beta-333286 Charcoal NA NA 250±30 BP 428–150 cal BP Clist 2018: 237 Tab. 18.1 Bird et al. 2022
Poz-60769 Charcoal NA NA 200±30 BP 305–140 cal BP Clist 2018: 237 Tab. 18.1 Bird et al. 2022
Poz-60769 Cimetière Charcoal_wood NA NA 200±30 BP 305–140 cal BP Clist 2018: 237 Tab. 18.1
Beta-333285 Charcoal NA NA 190±30 BP 301–73 cal BP Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3 Bird et al. 2022
Poz-75421 T79 A1 Charcoal_wood NA NA 190±30 BP 301–73 cal BP Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261
Beta-333285 Cimetière Charcoal_wood NA NA 190±30 BP 301–73 cal BP Clist 2018: 237 Tab. 18.1
Poz-75421 Charcoal NA NA 190±30 BP 301–73 cal BP Clist 2018: 238 Tab. 18.1 239 Tab. 18.3 Bird et al. 2022
Beta-333282 Charcoal NA NA 180±30 BP 293–72 cal BP Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 239 Tab. 18.3 Bird et al. 2022
Beta-333282 T10 A3 Charcoal_wood NA NA 180±30 BP 293–72 cal BP Clist 2018: 237 Tab. 18.1
Poz-59447 Charcoal NA NA 90±30 BP 263–25 cal BP Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3 Bird et al. 2022
Poz-59447 T05 B1 Charcoal_wood NA NA 90±30 BP 263–25 cal BP Clist 2018: 237 Tab. 18.1

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Clist 2018: 237 Tab. 18.1,
  
}
@misc{Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3, 274 Tab. 19.6,
  
}
@misc{Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6,
  
}
@misc{Clist 2018: 237 Tab. 18.1, 239 Tab. 18.3; Clist et al. 2018: 245, 254 Tab. 19.2,
  
}
@misc{Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261,
  
}
@misc{Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3, 261, 274 Tab. 19.6,
  
}
@misc{Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 245, 254 Tab. 19.2,
  
}
@misc{Hubau/Van den Bulcke et al. 2014; Clist 2018: 238 Tab. 18.2 239 Tab. 18.3,
  
}
@misc{Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3,
  
}
@misc{Clist 2018: 238 Tab. 18.1,
  
}
@misc{Clist 2018: 237 Tab. 18.1 239 Tab. 18.3 254 Tab. 19.2,
  
}
@misc{Clist 2018: 238 Tab. 18.1 239 Tab. 18.3,
  
}
@misc{Clist 2018: 237 Tab. 18.1 239 Tab. 18.3,
  
}
@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 2018: 237 Tab. 18.1","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3, 274 Tab. 19.6","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1, 239 Tab. 18.3; Clist et al. 2018: 245, 254 Tab. 19.2","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3, 261, 274 Tab. 19.6","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 245, 254 Tab. 19.2","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":"Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1 239 Tab. 18.3 254 Tab. 19.2","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1 239 Tab. 18.3","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1 239 Tab. 18.3","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 2018: 237 Tab. 18.1'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3, 274 Tab.
  19.6'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1, 239 Tab. 18.3; Clist et al. 2018: 245, 254
  Tab. 19.2'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 261'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3, 261, 274
  Tab. 19.6'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 245, 254 Tab. 19.2'
: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: 'Clist 2018: 237 Tab. 18.1; Clist et al. 2018: 258 Tab. 19.3'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1 239 Tab. 18.3 254 Tab. 19.2'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1 239 Tab. 18.3'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1 239 Tab. 18.3'
: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