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 (26)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-1059 5 cm, Spit A, Level 1b plant remains NA conventional 14C 1120±50 BP vogel1986prd
Pta-1060 24 cm, Spit C plant remains Sorghum conventional 14C 700±60 BP vogel1986prd
Pta-1061 Spit D, Level 6 plant remains Sclerocarya birrea conventional 14C 4000±60 BP vogel1986prd
Pta-1766 22-23 cm, Spit C, Level 1b plant remains NA conventional 14C 1200±50 BP vogel1986prd
Pta-1837 10 cm, Spit A, Level 1b plant remains NA conventional 14C 1060±45 BP vogel1986prd
Pta-1948 plant remains Cultivated plants conventional 14C 940±135 BP hall1980rrd
Pta-1951 Spit C, Levels 4 + 5 plant remains Pennisetum heads conventional 14C 1100±70 BP vogel1986prd
Pta-4040 Spit l, below Level 3 plant remains Sclerocarya birrea conventional 14C 1960±60 BP vogel1986prd
Pta-682 Level 1 NA conventional 14C 11870±130 BP davies1975ess
Pta-821 Spit B, Level 3 charcoal NA conventional 14C 1770±60 BP vogel1986prd
Pta-823 Spit D, Level 6 charcoal NA conventional 14C 3870±60 BP vogel1986prd
Pta-882 Level 4 NA conventional 14C 14760±130 BP davies1975ess
Pta-966 Level 7 NA conventional 14C 22990±310 BP davies1975ess
Pta-1059 plant remains NA NA 1120±50 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-1060 plant remains NA NA 700±60 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-1061 plant remains NA NA 4000±60 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-1766 plant remains NA NA 1200±50 BP Walker N.J. 1980. Later Stone Age research in the Matopos.The South African Archaeological Bulletin pp.19-24. Bird et al. 2022
Pta-1837 plant remains NA NA 1060±45 BP Opperman H. 1978. Excavations in the Buffelskloof rock shelter near Calitzdorp southern Cape.The South African Archaeological Bulletin33(127) pp.18-38. Bird et al. 2022
Pta-1948 plant remains NA NA 940±135 BP Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117 Bird et al. 2022
Pta-1951 plant remains NA NA 1100±70 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 (26)

Classification Estimated age References
LSA NA vogel1986prd
Wilton NA NA
LSA NA davies1975ess
Robberg NA NA
LSA NA davies1975ess
ELSA NA NA

Bibliographic reference Bibliographic references

@misc{vogel1986prd,
  
}
@misc{hall1980rrd,
  
}
@misc{davies1975ess,
  
}
@misc{Vogel JC Fuls A and Visser E. 1986. Pretoria Radiocarbon dates III. Radiocarbon 28: 1133-117,
  
}
@misc{Walker N.J. 1980. Later Stone Age research in the Matopos.The South African Archaeological Bulletin pp.19-24.,
  
}
@misc{Opperman H. 1978. Excavations in the Buffelskloof rock shelter near Calitzdorp southern Cape.The South African Archaeological Bulletin33(127) pp.18-38.,
  
}
@misc{Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.,
  
}
@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{Döckel W. 1998.Re-investigation of the Matjes River rock shelter(Masters dissertation Stellenbosch: Stellenbosch University).,
  
}
@misc{Henderson Z. 2002. A dated cache of ostrich-eggshell flasks from Thomas' Farm Northern Cape Province South Africa.The South African Archaeological Bulletin pp.38-40.,
  
}
@misc{Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological Reports International Series.,
  
}
@misc{Weißhaar 1989,
  
}
@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":"hall1980rrd","bibtex_type":"misc"}{"bibtex_key":"davies1975ess","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":"Walker N.J. 1980. Later Stone Age research in the Matopos.The South African Archaeological Bulletin pp.19-24.","bibtex_type":"misc"}{"bibtex_key":"Opperman H. 1978. Excavations in the Buffelskloof rock shelter near Calitzdorp southern Cape.The South African Archaeological Bulletin33(127) pp.18-38.","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":"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":"Döckel W. 1998.Re-investigation of the Matjes River rock shelter(Masters dissertation Stellenbosch: Stellenbosch University).","bibtex_type":"misc"}{"bibtex_key":"Henderson Z. 2002. A dated cache of ostrich-eggshell flasks from Thomas' Farm Northern Cape Province South Africa.The South African Archaeological Bulletin pp.38-40.","bibtex_type":"misc"}{"bibtex_key":"Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological Reports International Series.","bibtex_type":"misc"}{"bibtex_key":"Wei√ühaar 1989","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: hall1980rrd
:bibtex_type: :misc
---
:bibtex_key: davies1975ess
: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: Walker N.J. 1980. Later Stone Age research in the Matopos.The South African
  Archaeological Bulletin pp.19-24.
:bibtex_type: :misc
---
:bibtex_key: Opperman H. 1978. Excavations in the Buffelskloof rock shelter near Calitzdorp
  southern Cape.The South African Archaeological Bulletin33(127) pp.18-38.
: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: 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: 'Döckel W. 1998.Re-investigation of the Matjes River rock shelter(Masters
  dissertation Stellenbosch: Stellenbosch University).'
:bibtex_type: :misc
---
:bibtex_key: Henderson Z. 2002. A dated cache of ostrich-eggshell flasks from Thomas'
  Farm Northern Cape Province South Africa.The South African Archaeological Bulletin
  pp.38-40.
:bibtex_type: :misc
---
:bibtex_key: 'Carter P.L. Mitchell P.J. and Vinnicombe P. 1988. Sehonghong: The Middle
  and Later Stone Age industrial sequence at a Lesotho rockshelter. British Archaeological
  Reports International Series.'
:bibtex_type: :misc
---
:bibtex_key: Weißhaar 1989
: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