Site type

Location

Coordinates (degrees)
022.208° S, 029.373° E
Coordinates (DMS)
022° 12' 00" E, 029° 22' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (34)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-372 plant remains cereal conventional 14C 880±45 BP 910–690 cal BP vogel2000rds
Pta-372 plant remains NA NA 880±45 BP 910–690 cal BP Jerardino AMS. 1996.Changing social landscapes of the western Cape coast of southern Africa over the last 4500 years(Doctoral dissertation University of Cape Town). Bird et al. 2022
Pta-437 charcoal NA NA 810±45 BP 790–669 cal BP Beaumont PB. Smith A.B. & Vogel J.C. 1995. Before the Einiqua: the archaeology of the frontier zone. In: Smith A.B. (ed.) Einiqualand: Studies of the Orange River Frontier: 236-264. Cape Town: UCT Press. Bird et al. 2022
Pta-437 charcoal NA conventional 14C 810±45 BP 790–669 cal BP vogel2000rds
Pta-438 charcoal NA NA 820±60 BP 905–661 cal BP Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57. Bird et al. 2022
Pta-438 charcoal NA conventional 14C 820±60 BP 905–661 cal BP vogel2000rds
Pta-439 charcoal NA conventional 14C 840±50 BP 904–672 cal BP vogel2000rds
Pta-439 charcoal NA NA 840±50 BP 904–672 cal BP Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late Holocene community burial area: Evidence of diverse mortuary practices in the Western Cape South Africa.Plos one15(4) p.e0230391. Bird et al. 2022
Pta-6692 charcoal NA conventional 14C 720±40 BP 726–563 cal BP vogel2000rds
Pta-6692 charcoal NA NA 720±40 BP 726–563 cal BP Jerardino AMS. 1996.Changing social landscapes of the western Cape coast of southern Africa over the last 4500 years(Doctoral dissertation University of Cape Town). Bird et al. 2022
Pta-752 charcoal NA conventional 14C 790±50 BP 789–655 cal BP vogel2000rds
Pta-752 charcoal NA NA 790±50 BP 789–655 cal 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-766 charcoal NA conventional 14C 860±40 BP 904–681 cal BP vogel2000rds
Pta-766 charcoal NA NA 860±40 BP 904–681 cal BP Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57. Bird et al. 2022

typological date Typological dates (34)

Classification Estimated age References
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA
Iron Age NA vogel2000rds
NA NA

Bibliographic reference Bibliographic references

@misc{vogel2000rds,
  
}
@misc{Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394,
  
}
@misc{Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.,
  
}
@misc{Buchanan W.F. 1977.Rescue dig at a Late Stone Age cave Hout Bay Cape Province. University of Cape Town Department of Archaeology.,
  
}
@misc{SARD,
  
}
@misc{Opperman H. 1987.The Later Stone Age of the Drakensberg range and its foothills(Vol. 339). British Archaeological Reports: Oxford.,
  
}
@misc{Jerardino AMS. 1996.Changing social landscapes of the western Cape coast of southern Africa over the last 4500 years(Doctoral dissertation University of Cape Town).,
  
}
@misc{Beaumont PB. Smith A.B. & Vogel J.C. 1995. Before the Einiqua: the archaeology of the frontier zone. In: Smith A.B. (ed.) Einiqualand: Studies of the Orange River Frontier: 236-264. Cape Town: UCT Press.,
  
}
@misc{Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late Holocene community burial area: Evidence of diverse mortuary practices in the Western Cape South Africa.Plos one15(4) p.e0230391.,
  
}
@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{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":"vogel2000rds","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394","bibtex_type":"misc"}{"bibtex_key":"Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.","bibtex_type":"misc"}{"bibtex_key":"Buchanan W.F. 1977.Rescue dig at a Late Stone Age cave Hout Bay Cape Province. University of Cape Town Department of Archaeology.","bibtex_type":"misc"}{"bibtex_key":"SARD","bibtex_type":"misc"}{"bibtex_key":"Opperman H. 1987.The Later Stone Age of the Drakensberg range and its foothills(Vol. 339). British Archaeological Reports: Oxford.","bibtex_type":"misc"}{"bibtex_key":"Jerardino AMS. 1996.Changing social landscapes of the western Cape coast of southern Africa over the last 4500 years(Doctoral dissertation University of Cape Town).","bibtex_type":"misc"}{"bibtex_key":"Beaumont PB. Smith A.B. & Vogel J.C. 1995. Before the Einiqua: the archaeology of the frontier zone. In: Smith A.B. (ed.) Einiqualand: Studies of the Orange River Frontier: 236-264. Cape Town: UCT Press.","bibtex_type":"misc"}{"bibtex_key":"Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late Holocene community burial area: Evidence of diverse mortuary practices in the Western Cape South Africa.Plos one15(4) p.e0230391.","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":"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: vogel2000rds
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon
  13: 378-394'
:bibtex_type: :misc
---
:bibtex_key: Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo
  Valley.Goodwin Series pp.51-57.
:bibtex_type: :misc
---
:bibtex_key: Buchanan W.F. 1977.Rescue dig at a Late Stone Age cave Hout Bay Cape
  Province. University of Cape Town Department of Archaeology.
:bibtex_type: :misc
---
:bibtex_key: SARD
:bibtex_type: :misc
---
:bibtex_key: 'Opperman H. 1987.The Later Stone Age of the Drakensberg range and its
  foothills(Vol. 339). British Archaeological Reports: Oxford.'
:bibtex_type: :misc
---
:bibtex_key: Jerardino AMS. 1996.Changing social landscapes of the western Cape coast
  of southern Africa over the last 4500 years(Doctoral dissertation University of
  Cape Town).
:bibtex_type: :misc
---
:bibtex_key: 'Beaumont PB. Smith A.B. & Vogel J.C. 1995. Before the Einiqua: the archaeology
  of the frontier zone. In: Smith A.B. (ed.) Einiqualand: Studies of the Orange River
  Frontier: 236-264. Cape Town: UCT Press.'
:bibtex_type: :misc
---
:bibtex_key: 'Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late
  Holocene community burial area: Evidence of diverse mortuary practices in the Western
  Cape South Africa.Plos one15(4) p.e0230391.'
: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: 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