Site type

Location

Coordinates (degrees)
031.664° S, 025.572° E
Coordinates (DMS)
031° 39' 00" E, 025° 34' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-564 NA NA 38900±1200 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-564 D NA conventional 14C 38900±1200 BP deacon1976whg
Pta-537 lower A NA conventional 14C 38840±480 BP deacon1976whg
Pta-537 NA NA 38840±480 BP Nadel and Hershkovitz 1991 Bird et al. 2022
Pta-536 NA NA 4500±60 BP Mazel A.D. 1993. KwaThwaleyakhe Shelter: the excavation of mid and late Holocene deposits in the central Thukela Basin Natal South Africa.Southern African Humanities5(10) pp.1-36. Bird et al. 2022
Pta-536 Unit IV NA conventional 14C 4500±60 BP deacon1976whg
Pta-563 NA NA 3570±50 BP Deacon H.J. 1976.Where hunters gathered: a study of Holocene Stone Age people in the eastern Cape(No. 1). South African Archaeological Society. Bird et al. 2022
Pta-563 Unit III NA conventional 14C 3570±50 BP deacon1976whg

typological date Typological dates (8)

Classification Estimated age References
LSA NA deacon1976whg
Final LSA NA NA
MSA NA deacon1976whg
NA NA
LSA NA deacon1976whg
Final LSA NA NA
MSA NA deacon1976whg
NA NA

Bibliographic reference Bibliographic references

@misc{deacon1976whg,
  
}
@misc{Mazel A.D. 1993. KwaThwaleyakhe Shelter: the excavation of mid and late Holocene deposits in the central Thukela Basin Natal South Africa.Southern African Humanities5(10) pp.1-36.,
  
}
@misc{Nadel and Hershkovitz 1991,
  
}
@misc{Deacon H.J. 1976.Where hunters gathered: a study of Holocene Stone Age people in the eastern Cape(No. 1). South African Archaeological Society.,
  
}
@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":"deacon1976whg","bibtex_type":"misc"}{"bibtex_key":"Mazel A.D. 1993. KwaThwaleyakhe Shelter: the excavation of mid and late Holocene deposits in the central Thukela Basin Natal South Africa.Southern African Humanities5(10) pp.1-36.","bibtex_type":"misc"}{"bibtex_key":"Nadel and Hershkovitz 1991","bibtex_type":"misc"}{"bibtex_key":"Deacon H.J. 1976.Where hunters gathered: a study of Holocene Stone Age people in the eastern Cape(No. 1). South African Archaeological Society.","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: deacon1976whg
:bibtex_type: :misc
---
:bibtex_key: 'Mazel A.D. 1993. KwaThwaleyakhe Shelter: the excavation of mid and late
  Holocene deposits in the central Thukela Basin Natal South Africa.Southern African
  Humanities5(10) pp.1-36.'
:bibtex_type: :misc
---
:bibtex_key: Nadel and Hershkovitz 1991
:bibtex_type: :misc
---
:bibtex_key: 'Deacon H.J. 1976.Where hunters gathered: a study of Holocene Stone Age
  people in the eastern Cape(No. 1). South African Archaeological Society.'
: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