Site type

Location

Coordinates (degrees)
029.850° S, 030.717° E
Coordinates (DMS)
029° 51' 00" E, 030° 43' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-2601 Layer XVII, 15-20 cm charcoal NA conventional 14C 670±40 BP vogel1986prd
Pta-2602 40-50 cm Wood NA conventional 14C 950±50 BP vogel1986prd
Pta-3858 Level 26d charcoal NA conventional 14C 29400±580 BP vogel1981prd
Pta-3864 Level 25b charcoal NA conventional 14C 13800±240 BP vogel1981prd
Pta-4115 Level 25d charcoal NA conventional 14C 13600±140 BP vogel1981prd
Pta-4133 Level 26b charcoal NA conventional 14C 25200±570 BP vogel1981prd
Pta-4134 Layer XXIVd, 55-60 cm charcoal NA conventional 14C 2030±45 BP vogel1986prd
Pta-4135 Layer XIXa, 40-42 cm plant remains NA conventional 14C 3840±50 BP vogel1986prd
Pta-4159 Layer XVIII, 22-23 cm charcoal NA conventional 14C 1490±50 BP vogel1986prd
Pta-2601 charcoal NA NA 670±40 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-2602 Wood NA NA 950±50 BP Opperman H. 1987.The Later Stone Age of the Drakensberg range and its foothills(Vol. 339). British Archaeological Reports: Oxford. Bird et al. 2022
Pta-3858 charcoal NA NA 29400±580 BP Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80 Bird et al. 2022
Pta-3864 charcoal NA NA 13800±240 BP Vogel JC. 2001. Radiometric dates for the Middle Stone Age in South Africa. In Tobias PV Raath MA Moggi-Cecchi J Doyle GA (eds). Humanity from African Naissance to Coming Millennia Florence University Press: Florence 261–268. Bird et al. 2022
Pta-4115 charcoal NA NA 13600±140 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-4133 charcoal NA NA 25200±570 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-4134 charcoal NA NA 2030±45 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-4135 plant remains NA NA 3840±50 BP Van Schalkwyk L. 1994. Mamba Confluence: a preliminary report on an Early Iron Age industrial centre in the lower Thukela Basin Natal.Southern African Humanities6(10) pp.119-152. Bird et al. 2022
Pta-4159 charcoal NA NA 1490±50 BP Dreyer J.J.B. 1992. The Iron Age archaeology of Doornpoort Winburg Orange Free State.Navorsinge van die Nasionale Museum: Researches of the National Museum8(7). Bird et al. 2022

typological date Typological dates (17)

Classification Estimated age References
Iron Age NA vogel1986prd
NA NA
Iron Age NA vogel1986prd
NA NA
NA vogel1981prd
LSA NA vogel1981prd
NA NA
LSA NA vogel1981prd
NA NA
LSA NA vogel1981prd
NA NA
LSA NA vogel1986prd
NA NA
LSA NA vogel1986prd
NA NA
Iron Age NA vogel1986prd
Early Iron Age NA NA

Bibliographic reference Bibliographic references

@misc{vogel1986prd,
  
}
@misc{vogel1981prd,
  
}
@misc{Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117,
  
}
@misc{Opperman H. 1987.The Later Stone Age of the Drakensberg range and its foothills(Vol. 339). British Archaeological Reports: Oxford.,
  
}
@misc{Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80,
  
}
@misc{Vogel JC. 2001. Radiometric dates for the Middle Stone Age in South Africa. In Tobias PV Raath MA Moggi-Cecchi J Doyle GA (eds). Humanity from African Naissance to Coming Millennia Florence University Press: Florence 261–268.,
  
}
@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{Van Schalkwyk L. 1994. Mamba Confluence: a preliminary report on an Early Iron Age industrial centre in the lower Thukela Basin Natal.Southern African Humanities6(10) pp.119-152.,
  
}
@misc{Dreyer J.J.B. 1992. The Iron Age archaeology of Doornpoort Winburg Orange Free State.Navorsinge van die Nasionale Museum: Researches of the National Museum8(7).,
  
}
@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":"vogel1986prd","bibtex_type":"misc"}{"bibtex_key":"vogel1981prd","bibtex_type":"misc"}{"bibtex_key":"Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117","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":"Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80","bibtex_type":"misc"}{"bibtex_key":"Vogel JC. 2001. Radiometric dates for the Middle Stone Age in South Africa. In Tobias PV Raath MA Moggi-Cecchi J Doyle GA (eds). Humanity from African Naissance to Coming Millennia Florence University Press: Florence 261–268.","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":"Van Schalkwyk L. 1994. Mamba Confluence: a preliminary report on an Early Iron Age industrial centre in the lower Thukela Basin Natal.Southern African Humanities6(10) pp.119-152.","bibtex_type":"misc"}{"bibtex_key":"Dreyer J.J.B. 1992. The Iron Age archaeology of Doornpoort Winburg Orange Free State.Navorsinge van die Nasionale Museum: Researches of the National Museum8(7).","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: vogel1986prd
:bibtex_type: :misc
---
:bibtex_key: vogel1981prd
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III.
  Radiocarbon 28: 1133-117'
: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: 'Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon
  23: 43-80'
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC. 2001. Radiometric dates for the Middle Stone Age in South
  Africa. In Tobias PV Raath MA Moggi-Cecchi J Doyle GA (eds). Humanity from African
  Naissance to Coming Millennia Florence University Press: Florence 261–268.'
: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: 'Van Schalkwyk L. 1994. Mamba Confluence: a preliminary report on an
  Early Iron Age industrial centre in the lower Thukela Basin Natal.Southern African
  Humanities6(10) pp.119-152.'
:bibtex_type: :misc
---
:bibtex_key: 'Dreyer J.J.B. 1992. The Iron Age archaeology of Doornpoort Winburg Orange
  Free State.Navorsinge van die Nasionale Museum: Researches of the National Museum8(7).'
: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