Site type

Location

Coordinates (degrees)
030.367° S, 017.833° E
Coordinates (DMS)
030° 22' 00" E, 017° 49' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (4)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-3512 K14, BLL2,Stone hearth, 59 cm charcoal NA conventional 14C 800±50 BP 792–660 cal BP webley1986pen
Pta-4741 K14 BL, Hearth AF4, 10 cm charcoal NA conventional 14C 360±40 BP 495–314 cal BP webley1992hap
Pta-3512 charcoal NA NA 800±50 BP 792–660 cal BP Jolly D. Taylor D. Marchant R. Hamilton A. Bonnefille R. Buchet G. & Riollet G. (1997). Vegetation dynamics in central Africa since 18000 yr BP: pollen records from the interlacustrine highlands of Burundi Rwanda and western Uganda. Journa Bird et al. 2022
Pta-4741 charcoal NA NA 360±40 BP 495–314 cal BP Villa P. Soriano S. Tsanova T. Degano I. Higham T.F. d’Errico F. Backwell L. Lucejko J.J. Colombini M.P. and Beaumont P.B. 2012. Border cave and the beginning of the later stone age in South Africa.Proceedings of the National Academy of Sciences109(33) pp.13208-13213. Bird et al. 2022

typological date Typological dates (4)

Classification Estimated age References
LSA NA webley1986pen
Ceramic LSA NA NA
LSA NA webley1992hap
Ceramic LSA NA NA

Bibliographic reference Bibliographic references

@misc{webley1986pen,
  
}
@misc{webley1992hap,
  
}
@misc{Jolly D. Taylor D. Marchant R. Hamilton A. Bonnefille R. Buchet G. & Riollet G. (1997). Vegetation dynamics in central Africa since 18000 yr BP: pollen records from the interlacustrine highlands of Burundi Rwanda and western Uganda. Journa,
  
}
@misc{Villa P. Soriano S. Tsanova T. Degano I. Higham T.F. d’Errico F. Backwell L. Lucejko J.J. Colombini M.P. and Beaumont P.B. 2012. Border cave and the beginning of the later stone age in South Africa.Proceedings of the National Academy of Sciences109(33) pp.13208-13213.,
  
}
@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":"webley1986pen","bibtex_type":"misc"}{"bibtex_key":"webley1992hap","bibtex_type":"misc"}{"bibtex_key":"Jolly D. Taylor D. Marchant R. Hamilton A. Bonnefille R. Buchet G. & Riollet G. (1997). Vegetation dynamics in central Africa since 18000 yr BP: pollen records from the interlacustrine highlands of Burundi Rwanda and western Uganda. Journa","bibtex_type":"misc"}{"bibtex_key":"Villa P. Soriano S. Tsanova T. Degano I. Higham T.F. d’Errico F. Backwell L. Lucejko J.J. Colombini M.P. and Beaumont P.B. 2012. Border cave and the beginning of the later stone age in South Africa.Proceedings of the National Academy of Sciences109(33) pp.13208-13213.","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: webley1986pen
:bibtex_type: :misc
---
:bibtex_key: webley1992hap
:bibtex_type: :misc
---
:bibtex_key: 'Jolly D. Taylor D. Marchant R. Hamilton A. Bonnefille R. Buchet G. &
  Riollet G. (1997). Vegetation dynamics in central Africa since 18000 yr BP: pollen
  records from the interlacustrine highlands of Burundi Rwanda and western Uganda.
  Journa'
:bibtex_type: :misc
---
:bibtex_key: Villa P. Soriano S. Tsanova T. Degano I. Higham T.F. d’Errico F. Backwell
  L. Lucejko J.J. Colombini M.P. and Beaumont P.B. 2012. Border cave and the beginning
  of the later stone age in South Africa.Proceedings of the National Academy of Sciences109(33)
  pp.13208-13213.
: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