Site type

Location

Coordinates (degrees)
033.009° S, 017.940° E
Coordinates (DMS)
033° 00' 00" E, 017° 56' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UGAMS-2802 Burial 1 bone Homo sapiens AMS 2270±40 BP 2349–2152 cal BP dewar2010hbc
UGAMS-2803 Burial 3 bone Homo sapiens AMS 2470±40 BP 2717–2367 cal BP dewar2010hbc
UGAMS-2804 Burial 4 bone Homo sapiens AMS 2340±30 BP 2462–2316 cal BP dewar2010hbc
UGAMS-3062 Burial 5 bone Homo sapiens AMS 2420±25 BP 2682–2355 cal BP dewar2010hbc
UGAMS-2805 NA marine shell NA AMS 5690±40 BP 6621–6395 cal BP dewar2010hbc
UGAMS-2806 NA marine shell NA AMS 5300±40 BP 6195–5943 cal BP dewar2010hbc
UGAMS-2802 NA bone NA NA 2270±40 BP 2349–2152 cal BP Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34. Bird et al. 2022
UGAMS-2803 NA bone NA NA 2470±40 BP 2717–2367 cal BP Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34. Bird et al. 2022
UGAMS-2804 NA bone NA NA 2340±30 BP 2462–2316 cal BP Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34. Bird et al. 2022
UGAMS-2805 NA marine shell NA NA 5690±40 BP 6621–6395 cal BP Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34. Bird et al. 2022
UGAMS-2806 NA marine shell NA NA 5300±40 BP 6195–5943 cal BP Badalyan 2010 Bird et al. 2022
UGAMS-3062 NA bone NA NA 2420±25 BP 2682–2355 cal BP Haws J. 2010. Geoarchaeology 25: 709-744. Bird et al. 2022

typological date Typological dates (12)

Classification Estimated age References
LSA NA dewar2010hbc
NA NA
LSA NA dewar2010hbc
NA NA
LSA NA dewar2010hbc
NA NA
LSA NA dewar2010hbc
NA NA
LSA NA dewar2010hbc
NA NA
LSA NA dewar2010hbc
NA NA

Bibliographic reference Bibliographic references

@misc{Badalyan 2010,
  
}
@misc{dewar2010hbc,
  
}
@misc{Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34.,
  
}
@misc{Haws J.  2010. Geoarchaeology 25: 709-744.,
  
}
@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{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}
}
{"bibtex_key":"Badalyan 2010","bibtex_type":"misc"}{"bibtex_key":"dewar2010hbc","bibtex_type":"misc"}{"bibtex_key":"Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34.","bibtex_type":"misc"}{"bibtex_key":"Haws J.  2010. Geoarchaeology 25: 709-744.","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":"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: Badalyan 2010
:bibtex_type: :misc
---
:bibtex_key: dewar2010hbc
:bibtex_type: :misc
---
:bibtex_key: Dewar G. 2010. Late Holocene burial cluster at Diaz Street Midden Saldanha
  Bay Western Cape South Africa.The South African Archaeological Bulletin 65 pp.26-34.
:bibtex_type: :misc
---
:bibtex_key: 'Haws J.  2010. Geoarchaeology 25: 709-744.'
: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: 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}"

Changelog