Pta-4333

radiocarbon date Radiocarbon date from Umhlatuzana, c. 52045–45594 cal BP
Record created in XRONOS on 2022-12-02 00:50:45 UTC. Last updated on 2022-12-02 00:50:45 UTC. See changelog for details.
Contributors: XRONOS development team

Measurement

Age (uncal BP)
46000
Error (±)
1500
Lab
NA
Method
NA
Sample material
charcoal
Sample taxon
NA

Calibration

Calibration curve
SHCal20 (Hogg et al. 2020)
Calibrated age (2σ, cal BP)
  • 52045–45594

Context

Site
Umhlatuzana
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (10)

@misc{SARD,
  
}
@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}
}
@misc{kaplan1990uss,
  
}
@misc{Kaplan J. 1990. The Umhlatuzana rock shelter sequence: 100 000 years of Stone Age history.Southern African Humanities2(11) pp.1-94.,
  
}
@misc{Parkington J. 1992. Making sense of sequence at the Elands Bay cave western Cape South Africa.Guide to archaeological sites in the south-western Cape6 p.12.,
  
}
@misc{Beaumont PB and Vogel JC. 1989. Patterns in the age and context of rock art in the northern Cape.The South African Archaeological Bulletin 44(150):73-81.,
  
}
@misc{Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late Holocene community burial area: Evidence of diverse mortuary practices in the Western Cape South Africa.Plos one15(4) p.e0230391.,
  
}
@misc{Parsons I. 2008. Five Later Stone Age artefact assemblages from the interior Northern Cape province.The South African Archaeological Bulletin63(187) pp.51-60.,
  
}
@misc{Patrick M.K. 1989.An archaeological anthropological study of the human skeletal remains from the Oakhurst Rockshelter George Cape Province Southern Africa(Doctoral dissertation University of Cape Town).,
  
}
@misc{Opperman H. 1996. Excavation of a Later Stone Age deposit in Strathalan Cave A Maclear District Northeastern Cape South Africa. InAspects of African Archaeology: Papers from the Tenth Congress of the Pan-African Association for Prehistory and Related Studies University of Zimbabwe Harare(pp. 335-342).,
  
}
{"bibtex_key":"SARD","bibtex_type":"misc"}[{"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":"kaplan1990uss","bibtex_type":"misc"}{"bibtex_key":"Kaplan J. 1990. The Umhlatuzana rock shelter sequence: 100 000 years of Stone Age history.Southern African Humanities2(11) pp.1-94.","bibtex_type":"misc"}{"bibtex_key":"Parkington J. 1992. Making sense of sequence at the Elands Bay cave western Cape South Africa.Guide to archaeological sites in the south-western Cape6 p.12.","bibtex_type":"misc"}{"bibtex_key":"Beaumont PB and Vogel JC. 1989. Patterns in the age and context of rock art in the northern Cape.The South African Archaeological Bulletin 44(150):73-81.","bibtex_type":"misc"}{"bibtex_key":"Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late Holocene community burial area: Evidence of diverse mortuary practices in the Western Cape South Africa.Plos one15(4) p.e0230391.","bibtex_type":"misc"}{"bibtex_key":"Parsons I. 2008. Five Later Stone Age artefact assemblages from the interior Northern Cape province.The South African Archaeological Bulletin63(187) pp.51-60.","bibtex_type":"misc"}{"bibtex_key":"Patrick M.K. 1989.An archaeological anthropological study of the human skeletal remains from the Oakhurst Rockshelter George Cape Province Southern Africa(Doctoral dissertation University of Cape Town).","bibtex_type":"misc"}{"bibtex_key":"Opperman H. 1996. Excavation of a Later Stone Age deposit in Strathalan Cave A Maclear District Northeastern Cape South Africa. InAspects of African Archaeology: Papers from the Tenth Congress of the Pan-African Association for Prehistory and Related Studies University of Zimbabwe Harare(pp. 335-342).","bibtex_type":"misc"}
---
:bibtex_key: SARD
:bibtex_type: :misc
---
- :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: kaplan1990uss
:bibtex_type: :misc
---
:bibtex_key: 'Kaplan J. 1990. The Umhlatuzana rock shelter sequence: 100 000 years
  of Stone Age history.Southern African Humanities2(11) pp.1-94.'
:bibtex_type: :misc
---
:bibtex_key: Parkington J. 1992. Making sense of sequence at the Elands Bay cave western
  Cape South Africa.Guide to archaeological sites in the south-western Cape6 p.12.
:bibtex_type: :misc
---
:bibtex_key: Beaumont PB and Vogel JC. 1989. Patterns in the age and context of rock
  art in the northern Cape.The South African Archaeological Bulletin 44(150):73-81.
:bibtex_type: :misc
---
:bibtex_key: 'Pfeiffer S. Sealy J. Harrington L. Loftus E. and Maggs T. 2020. A Late
  Holocene community burial area: Evidence of diverse mortuary practices in the Western
  Cape South Africa.Plos one15(4) p.e0230391.'
:bibtex_type: :misc
---
:bibtex_key: Parsons I. 2008. Five Later Stone Age artefact assemblages from the interior
  Northern Cape province.The South African Archaeological Bulletin63(187) pp.51-60.
:bibtex_type: :misc
---
:bibtex_key: Patrick M.K. 1989.An archaeological anthropological study of the human
  skeletal remains from the Oakhurst Rockshelter George Cape Province Southern Africa(Doctoral
  dissertation University of Cape Town).
:bibtex_type: :misc
---
:bibtex_key: 'Opperman H. 1996. Excavation of a Later Stone Age deposit in Strathalan
  Cave A Maclear District Northeastern Cape South Africa. InAspects of African Archaeology:
  Papers from the Tenth Congress of the Pan-African Association for Prehistory and
  Related Studies University of Zimbabwe Harare(pp. 335-342).'
:bibtex_type: :misc

Changelog