Site type

Location

Coordinates (degrees)
028.467° S, 016.683° E
Coordinates (DMS)
028° 28' 00" E, 016° 40' 00" S
Country (ISO 3166)
Namibia (NA)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-1933 5cm charcoal NA conventional 14C 1200±50 BP vogel1981prd
Pta-1945 pot scrapings other NA conventional 14C 1250±130 BP vogel1981prd
Pta-2089 5cm eggshell Struthio camelus conventional 14C 1300±50 BP vogel1981prd
Pta-2136 7-8cm eggshell Struthio camelus conventional 14C 1280±40 BP vogel1981prd
Pta-2365 5cm marine shell Patella conventional 14C 1590±50 BP vogel1981prd
Pta-1933 charcoal NA NA 1200±50 BP Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80 Bird et al. 2022
Pta-1945 other NA NA 1250±130 BP Hall M. and Vogel J.C. 1980. Some recent radiocarbon dates from southern Africa.The Journal of African History21(4) pp.431-455. Bird et al. 2022
Pta-2089 eggshell NA NA 1300±50 BP Huffman TN. 2007. Handbook to the Iron Age: The archaeology of pre-colonial farming societies in southern Africa. University of KwaZulu Natal Press Pietermaritzberg Bird et al. 2022
Pta-2136 eggshell NA NA 1280±40 BP Butzer K.W. Struckenrath R. Bruzewicz A.J. Helgren D.M. 1978. Late Cenozoic paleoclimates of the Ghaap Escarpment Kalahari margin South Africa. Quaternary Research 10 310–339. Bird et al. 2022
Pta-2365 marine shell NA NA 1590±50 BP Taylor M.O.V. 1979. Wildebeestfontein: a late Iron Age site in the southeast Transvaal.Goodwin Series (3) pp.120-129. Bird et al. 2022

typological date Typological dates (10)

Classification Estimated age References
LSA NA vogel1981prd
NA NA
LSA NA vogel1981prd
NA NA
LSA NA vogel1981prd
NA NA
LSA NA vogel1981prd
NA NA
LSA NA vogel1981prd
NA NA

Bibliographic reference Bibliographic references

@misc{vogel1981prd,
  
}
@misc{Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80,
  
}
@misc{Hall M. and Vogel J.C. 1980. Some recent radiocarbon dates from southern Africa.The Journal of African History21(4) pp.431-455.,
  
}
@misc{Huffman TN. 2007. Handbook to the Iron Age: The archaeology of pre-colonial farming societies in southern Africa. University of KwaZulu Natal Press Pietermaritzberg,
  
}
@misc{Butzer K.W. Struckenrath R. Bruzewicz A.J. Helgren D.M. 1978. Late Cenozoic paleoclimates of the Ghaap Escarpment Kalahari margin South Africa. Quaternary Research 10 310–339.,
  
}
@misc{Taylor M.O.V. 1979. Wildebeestfontein: a late Iron Age site in the southeast Transvaal.Goodwin Series (3) pp.120-129.,
  
}
@misc{SARD,
  url = {https://github.com/emmaloftus/Southern-African-Radiocarbon-Database},
  note = { Loftus, E., Mitchell, P., & Ramsey, C. (2019). An archaeological radiocarbon database for southern Africa. Antiquity, 93(370), 870-885. doi:10.15184/aqy.2019.75}
}
@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":"vogel1981prd","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80","bibtex_type":"misc"}{"bibtex_key":"Hall M. and Vogel J.C. 1980. Some recent radiocarbon dates from southern Africa.The Journal of African History21(4) pp.431-455.","bibtex_type":"misc"}{"bibtex_key":"Huffman TN. 2007. Handbook to the Iron Age: The archaeology of pre-colonial farming societies in southern Africa. University of KwaZulu Natal Press Pietermaritzberg","bibtex_type":"misc"}{"bibtex_key":"Butzer K.W. Struckenrath R. Bruzewicz A.J. Helgren D.M. 1978. Late Cenozoic paleoclimates of the Ghaap Escarpment Kalahari margin South Africa. Quaternary Research 10 310–339.","bibtex_type":"misc"}{"bibtex_key":"Taylor M.O.V. 1979. Wildebeestfontein: a late Iron Age site in the southeast Transvaal.Goodwin Series (3) pp.120-129.","bibtex_type":"misc"}[{"bibtex_key":"SARD","bibtex_type":"misc","url":"{https://github.com/emmaloftus/Southern-African-Radiocarbon-Database}","note":"{ Loftus, E., Mitchell, P., & Ramsey, C. (2019). An archaeological radiocarbon database for southern Africa. Antiquity, 93(370), 870-885. doi:10.15184/aqy.2019.75}"}][{"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: vogel1981prd
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon
  23: 43-80'
:bibtex_type: :misc
---
:bibtex_key: Hall M. and Vogel J.C. 1980. Some recent radiocarbon dates from southern
  Africa.The Journal of African History21(4) pp.431-455.
:bibtex_type: :misc
---
:bibtex_key: 'Huffman TN. 2007. Handbook to the Iron Age: The archaeology of pre-colonial
  farming societies in southern Africa. University of KwaZulu Natal Press Pietermaritzberg'
:bibtex_type: :misc
---
:bibtex_key: Butzer K.W. Struckenrath R. Bruzewicz A.J. Helgren D.M. 1978. Late Cenozoic
  paleoclimates of the Ghaap Escarpment Kalahari margin South Africa. Quaternary Research
  10 310–339.
:bibtex_type: :misc
---
:bibtex_key: 'Taylor M.O.V. 1979. Wildebeestfontein: a late Iron Age site in the southeast
  Transvaal.Goodwin Series (3) pp.120-129.'
:bibtex_type: :misc
---
- :bibtex_key: SARD
  :bibtex_type: :misc
  :url: "{https://github.com/emmaloftus/Southern-African-Radiocarbon-Database}"
  :note: "{ Loftus, E., Mitchell, P., & Ramsey, C. (2019). An archaeological radiocarbon
    database for southern Africa. Antiquity, 93(370), 870-885. doi:10.15184/aqy.2019.75}"
---
- :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