Site type

Location

Coordinates (degrees)
031.133° S, 025.050° E
Coordinates (DMS)
031° 07' 00" E, 025° 03' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (50)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
SMU-1850 charcoal NA NA 1305±31 BP 1291–1176 cal BP SARD Bird et al. 2022
SMU-1851 charcoal NA NA 4066±55 BP 4815–4417 cal BP SARD Bird et al. 2022
SMU-1852 charcoal NA NA 4286±149 BP 5304–4444 cal BP SARD Bird et al. 2022
SMU-1853 charcoal NA NA 2292±120 BP 2705–2001 cal BP Miller Jornada Database Bird et al. 2022
SMU-1901 charcoal NA NA 4101±273 BP 5434–3849 cal BP SARD Bird et al. 2022
SMU-1902 charcoal NA NA 844±119 BP 972–555 cal BP East Texas 14C Database; Fields et al. 1997 Bird et al. 2022
SMU-1925 charcoal NA NA 1255±109 BP 1347–956 cal BP Maslowski et al. 1995 Bird et al. 2022
SR-132 charcoal NA NA 1980±120 BP 2304–1612 cal BP Sampson C.G. 1970. Smithfield Industrial Complex: further field results. National Museum Memoir 5. Bloemfontein: National Museum. Bird et al. 2022
SR-142 charcoal NA NA 3090±100 BP 3488–2996 cal BP SARD Bird et al. 2022
SR-152 charcoal NA NA 3650±120 BP 4400–3640 cal BP Sampson C.G. 1970. Smithfield Industrial Complex: further field results. National Museum Memoir 5. Bloemfontein: National Museum. Bird et al. 2022

typological date Typological dates (50)

Classification Estimated age References
NA NA
NA NA
NA NA
NA NA
NA NA
Ceramic LSA NA NA
Ceramic LSA NA NA
Ceramic LSA NA NA
Ceramic LSA NA NA
Ceramic LSA NA NA
Ceramic LSA NA NA
LSA NA bousman2005cls; bousman2016qed
LSA NA bousman2005cls; bousman2016qed
LSA NA bousman2005cls; bousman2016qed
LSA NA bousman2005cls; bousman2016qed
LSA NA bronkramsey2002rdo
LSA NA bousman2005cls; bousman2016qed
LSA NA bousman2005cls; bousman2016qed
LSA NA bousman2005cls; bousman2016qed
LSA NA bousman2005cls; bousman2016qed

Bibliographic reference Bibliographic references

@misc{bousman2005cls; bousman2016qed,
  
}
@misc{bronkramsey2002rdo,
  
}
@misc{SARD,
  
}
@misc{Ollivier et al 2017,
  
}
@misc{Kiel DB 2013,
  
}
@misc{Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B. Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.,
  
}
@misc{Marks (ed.) 1983,
  
}
@misc{Miller Jornada Database,
  
}
@misc{East Texas 14C Database; Fields et al. 1997,
  
}
@misc{Maslowski et al. 1995,
  
}
@misc{Sampson C.G. 1970. Smithfield Industrial Complex: further field results. National Museum Memoir 5. Bloemfontein: National Museum.,
  
}
@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":"bousman2005cls; bousman2016qed","bibtex_type":"misc"}{"bibtex_key":"bronkramsey2002rdo","bibtex_type":"misc"}{"bibtex_key":"SARD","bibtex_type":"misc"}{"bibtex_key":"Ollivier et al 2017","bibtex_type":"misc"}{"bibtex_key":"Kiel DB 2013","bibtex_type":"misc"}{"bibtex_key":"Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B. Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica et Praehistorica 119: 3-253.","bibtex_type":"misc"}{"bibtex_key":"Marks (ed.) 1983","bibtex_type":"misc"}{"bibtex_key":"Miller Jornada Database","bibtex_type":"misc"}{"bibtex_key":"East Texas 14C Database; Fields et al. 1997","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995","bibtex_type":"misc"}{"bibtex_key":"Sampson C.G. 1970. Smithfield Industrial Complex: further field results. National Museum Memoir 5. Bloemfontein: National Museum.","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: bousman2005cls; bousman2016qed
:bibtex_type: :misc
---
:bibtex_key: bronkramsey2002rdo
:bibtex_type: :misc
---
:bibtex_key: SARD
:bibtex_type: :misc
---
:bibtex_key: Ollivier et al 2017
:bibtex_type: :misc
---
:bibtex_key: Kiel DB 2013
:bibtex_type: :misc
---
:bibtex_key: 'Proc. Bristol Univ. Spelaeol. Soc. Vol. 7 1955 61 - 75 Campbell J. B.
  Mendip Hills in Prehistoric time and Roman Times Bristol 1970 p. 11. Flas D. 2008.Anthropologica
  et Praehistorica 119: 3-253.'
:bibtex_type: :misc
---
:bibtex_key: Marks (ed.) 1983
:bibtex_type: :misc
---
:bibtex_key: Miller Jornada Database
:bibtex_type: :misc
---
:bibtex_key: East Texas 14C Database; Fields et al. 1997
:bibtex_type: :misc
---
:bibtex_key: Maslowski et al. 1995
:bibtex_type: :misc
---
:bibtex_key: 'Sampson C.G. 1970. Smithfield Industrial Complex: further field results.
  National Museum Memoir 5. Bloemfontein: National Museum.'
: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