Site type

Location

Coordinates (degrees)
022.250° S, 029.183° E
Coordinates (DMS)
022° 15' 00" E, 029° 10' 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-7994 G7 AG3 charcoal NA conventional 14C 2250±40 BP 2345–2149 cal BP vandoornum2014bsl
Pta-7995 G7 GB2 charcoal NA conventional 14C 1650±50 BP 1694–1405 cal BP vandoornum2014bsl
Pta-7996 G7 DR4 charcoal NA conventional 14C 2270±50 BP 2355–2146 cal BP vandoornum2014bsl
Pta-7997 G8 A28 charcoal NA conventional 14C 1920±45 BP 1942–1720 cal BP vandoornum2014bsl
Pta-7994 charcoal NA NA 2250±40 BP 2345–2149 cal BP Van Doornum B. 2014. Balerno Shelter 3: a Later Stone Age site in the Shashe-Limpopo confluence area South Africa.Southern African Humanities26(1) pp.129-155. Bird et al. 2022
Pta-7995 charcoal NA NA 1650±50 BP 1694–1405 cal BP Van Doornum B. 2014. Balerno Shelter 3: a Later Stone Age site in the Shashe-Limpopo confluence area South Africa.Southern African Humanities26(1) pp.129-155. Bird et al. 2022
Pta-7996 charcoal NA NA 2270±50 BP 2355–2146 cal BP Van Doornum B. 2014. Balerno Shelter 3: a Later Stone Age site in the Shashe-Limpopo confluence area South Africa.Southern African Humanities26(1) pp.129-155. Bird et al. 2022
Pta-7997 charcoal NA NA 1920±45 BP 1942–1720 cal BP Wadley L. 2001. Who Lived in Mauermanshoek Shelter Korannaberg South Africaà.African Archaeological Review18(3) pp.153-179. Bird et al. 2022

typological date Typological dates (8)

Classification Estimated age References
LSA NA vandoornum2014bsl
NA NA
LSA NA vandoornum2014bsl
NA NA
LSA NA vandoornum2014bsl
NA NA
LSA NA vandoornum2014bsl
Final LSA NA NA

Bibliographic reference Bibliographic references

@misc{vandoornum2014bsl,
  
}
@misc{Van Doornum B. 2014. Balerno Shelter 3: a Later Stone Age site in the Shashe-Limpopo confluence area South Africa.Southern African Humanities26(1) pp.129-155.,
  
}
@misc{Wadley L. 2001. Who Lived in Mauermanshoek Shelter Korannaberg South Africaà.African Archaeological Review18(3) pp.153-179.,
  
}
@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":"vandoornum2014bsl","bibtex_type":"misc"}{"bibtex_key":"Van Doornum B. 2014. Balerno Shelter 3: a Later Stone Age site in the Shashe-Limpopo confluence area South Africa.Southern African Humanities26(1) pp.129-155.","bibtex_type":"misc"}{"bibtex_key":"Wadley L. 2001. Who Lived in Mauermanshoek Shelter Korannaberg South Africaà.African Archaeological Review18(3) pp.153-179.","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: vandoornum2014bsl
:bibtex_type: :misc
---
:bibtex_key: 'Van Doornum B. 2014. Balerno Shelter 3: a Later Stone Age site in the
  Shashe-Limpopo confluence area South Africa.Southern African Humanities26(1) pp.129-155.'
:bibtex_type: :misc
---
:bibtex_key: Wadley L. 2001. Who Lived in Mauermanshoek Shelter Korannaberg South
  Africaà.African Archaeological Review18(3) pp.153-179.
: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