Site type

Location

Coordinates (degrees)
005.781° S, 015.117° E
Coordinates (DMS)
005° 46' 00" E, 015° 07' 00" S
Country (ISO 3166)
Congo, The Democratic Republic of the (COD)

radiocarbon date Radiocarbon dates (36)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-347644 T01 A1 - NA NA 120±30 BP Clist 2018: 238 Tab. 18.1
Beta-379378 T61 A1 Charcoal_wood NA NA 2090±30 BP Clist 2018: 238 Tab. 18.1
Beta-379379 T65 P'24/P'25 Charcoal_wood NA NA 330±30 BP Clist 2018: 238 Tab. 18.1
Beta-451398 T7 A2 Charcoal_wood NA NA 320±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261
Beta-451399 T83 A2 Charcoal_wood NA NA 160±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261
Poz-60770 T08 A1 Charcoal_wood NA NA 9470±50 BP Clist 2018: 238 Tab. 18.1
Poz-60771 T19 D'1 Charcoal_wood NA NA 315±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261
Poz-60772 T01 V23 Charcoal_wood NA NA 310±30 BP Clist 2018: 238 Tab. 18.1, Clist et al. 2018: 261, 274 Tab. 19.6
Poz-60774 T35 A1 Charcoal_wood NA NA 200±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261, 274 Tab. 19.6
Poz-60775 T60 A'1 Charcoal_wood NA NA 175±30 BP Clist 2018: 238 Tab. 18.1
Poz-60776 T07 A'3 Charcoal_wood NA NA 280±30 BP Clist 2018: 238 Tab. 18.1
Poz-69043 T78 C14 Charcoal_wood NA NA 185±30 BP Clist 2018: 238 Tab. 18.1
Poz-69044 T104 C15 Charcoal_wood NA NA 235±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261, 274 Tab. 19.6
Poz-69045 T83 C18 Charcoal_wood NA NA 210±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261, 274 Tab. 19.6
Poz-69046 T70 C8 Charcoal_wood NA NA 180±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6
Poz-80294 T19 A1 Charcoal_wood NA NA 310±30 BP Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261
Poz-80296 T62 B1 Charcoal_wood NA NA 205±30 BP Clist 2018: 238 Tab. 18.1
Poz-80297 T44 A'1 Charcoal_wood NA NA 8910±50 BP Clist 2018: 238 Tab. 18.1
Beta-347644 NA NA 120±30 BP Clist 2018: 237 Tab. 18.1 Bird et al. 2022
Beta-379378 Charcoal NA NA 2090±30 BP Clist 2018: 238 Tab. 18.1 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Clist 2018: 238 Tab. 18.1,
  
}
@misc{Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261,
  
}
@misc{Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261,
  
}
@misc{Clist 2018: 238 Tab. 18.1, Clist et al. 2018: 261, 274 Tab. 19.6,
  
}
@misc{Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261, 274 Tab. 19.6,
  
}
@misc{Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6,
  
}
@misc{Clist 2018: 237 Tab. 18.1,
  
}
@misc{Clist 2004/05,
  
}
@misc{Saulieu et al. 2015; Garcin et al. 2018,
  
}
@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: 238 Tab. 18.1","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1, Clist et al. 2018: 261, 274 Tab. 19.6","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261, 274 Tab. 19.6","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6","bibtex_type":"misc"}{"bibtex_key":"Clist 2018: 237 Tab. 18.1","bibtex_type":"misc"}{"bibtex_key":"Clist 2004/05","bibtex_type":"misc"}{"bibtex_key":"Saulieu et al. 2015; Garcin et al. 2018","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: 238 Tab. 18.1'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1, Clist et al. 2018: 261, 274 Tab. 19.6'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 258, 261, 274 Tab. 19.6'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 238 Tab. 18.1; Clist et al. 2018: 261, 274 Tab. 19.6'
:bibtex_type: :misc
---
:bibtex_key: 'Clist 2018: 237 Tab. 18.1'
:bibtex_type: :misc
---
:bibtex_key: Clist 2004/05
:bibtex_type: :misc
---
:bibtex_key: Saulieu et al. 2015; Garcin et al. 2018
: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