Site type

Location

Coordinates (degrees)
030.378° S, 017.308° E
Coordinates (DMS)
030° 22' 00" E, 017° 18' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Pta-9312 Square unknown, top marine shell NA conventional 14C 2870±60 BP dewar2008acd
Pta-9326 Square unknown, top marine shell NA conventional 14C 2180±50 BP dewar2008acd
UBA-9941 Square unknown, top bone Chersina AMS 1524±22 BP dewar2012hmr
Pta-9312 marine shell NA NA 2870±60 BP Dewar G. 2008. The archaeology of the coastal desert of Namaqualand South Africa: a regional synthesis. Oxford: British Archaeological Reports International Series 1761 Bird et al. 2022
Pta-9326 marine shell NA NA 2180±50 BP Morris D. Steyn M. and Ribot I. 2006. A burial from Driekopseiland Northern cape.South African Archaeological Bulletin61(184) p.133. Bird et al. 2022
UBA-9941 bone NA NA 1524±22 BP Dewar GI Reimer PJ Sealy JC Woodborne S. 2012. Late-Holocene marine radiocarbon reservoir correction ({Delta}R) for the west coast of South Africa. The Holocene 22(12):1481–1489. Bird et al. 2022

typological date Typological dates (6)

Classification Estimated age References
LSA NA dewar2008acd
NA NA
LSA NA dewar2008acd
NA NA
LSA NA dewar2012hmr
NA NA

Bibliographic reference Bibliographic references

@misc{dewar2008acd,
  
}
@misc{dewar2012hmr,
  
}
@misc{Dewar G. 2008. The archaeology of the coastal desert of Namaqualand South Africa: a regional synthesis. Oxford: British Archaeological Reports International Series 1761,
  
}
@misc{Morris D. Steyn M. and Ribot I. 2006. A burial from Driekopseiland Northern cape.South African Archaeological Bulletin61(184) p.133.,
  
}
@misc{Dewar GI Reimer PJ Sealy JC Woodborne S. 2012. Late-Holocene marine radiocarbon reservoir correction ({Delta}R) for the west coast of South Africa. The Holocene 22(12):1481–1489.,
  
}
@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":"dewar2008acd","bibtex_type":"misc"}{"bibtex_key":"dewar2012hmr","bibtex_type":"misc"}{"bibtex_key":"Dewar G. 2008. The archaeology of the coastal desert of Namaqualand South Africa: a regional synthesis. Oxford: British Archaeological Reports International Series 1761","bibtex_type":"misc"}{"bibtex_key":"Morris D. Steyn M. and Ribot I. 2006. A burial from Driekopseiland Northern cape.South African Archaeological Bulletin61(184) p.133.","bibtex_type":"misc"}{"bibtex_key":"Dewar GI Reimer PJ Sealy JC Woodborne S. 2012. Late-Holocene marine radiocarbon reservoir correction ({Delta}R) for the west coast of South Africa. The Holocene 22(12):1481–1489.","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: dewar2008acd
:bibtex_type: :misc
---
:bibtex_key: dewar2012hmr
:bibtex_type: :misc
---
:bibtex_key: 'Dewar G. 2008. The archaeology of the coastal desert of Namaqualand
  South Africa: a regional synthesis. Oxford: British Archaeological Reports International
  Series 1761'
:bibtex_type: :misc
---
:bibtex_key: Morris D. Steyn M. and Ribot I. 2006. A burial from Driekopseiland Northern
  cape.South African Archaeological Bulletin61(184) p.133.
:bibtex_type: :misc
---
:bibtex_key: Dewar GI Reimer PJ Sealy JC Woodborne S. 2012. Late-Holocene marine radiocarbon
  reservoir correction ({Delta}R) for the west coast of South Africa. The Holocene
  22(12):1481–1489.
: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