Site type

Location

Coordinates (degrees)
025.870° S, 027.330° E
Coordinates (DMS)
025° 52' 00" E, 027° 19' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
RL-199 Hut A charcoal NA conventional 14C 710±120 BP mason1986obp
RL-243 Hut S charcoal NA conventional 14C 440±90 BP mason1986obp
RL-244 Hut S charcoal NA conventional 14C 350±90 BP mason1986obp
RL-199 charcoal NA NA 710±120 BP Marwitt 1970: table 9; FRY & DALLEY 1979 p. 5 & 18Marwitt & Fry p.5 Bird et al. 2022
RL-243 charcoal NA NA 440±90 BP Mason R.J. 1986.Origins of black people of Johannesburg and the southern western central Transvaal AD 350-1880. Occasional Paper 16. Johannesburg: Archaeological Research Unit Witwatersrand University. Bird et al. 2022
RL-244 charcoal NA NA 350±90 BP Brumley and Rushworth 1983; Kigoshi et al. 1973; Lowdon and Blake 1968; Lowdon et al. 1970; Beaudoin 1988 1991 1987 1998; Brink and Dawe 1989; Brink et al. 1985 1986; Reeves 1970a 1978; Faunmap 3509 Bird et al. 2022

typological date Typological dates (6)

Classification Estimated age References
Iron Age NA mason1986obp
Later Iron Age NA NA
Iron Age NA mason1986obp
Later Iron Age NA NA
Iron Age NA mason1986obp
Later Iron Age NA NA

Bibliographic reference Bibliographic references

@misc{mason1986obp,
  
}
@misc{Marwitt 1970: table 9; FRY & DALLEY 1979 p. 5 & 18Marwitt & Fry p.5,
  
}
@misc{Mason R.J. 1986.Origins of black people of Johannesburg and the southern western central Transvaal AD 350-1880. Occasional Paper 16. Johannesburg: Archaeological Research Unit Witwatersrand University.,
  
}
@misc{Brumley and Rushworth 1983; Kigoshi et al. 1973; Lowdon and Blake 1968; Lowdon et al. 1970; Beaudoin 1988 1991 1987 1998; Brink and Dawe 1989; Brink et al. 1985 1986; Reeves 1970a 1978; Faunmap 3509,
  
}
@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":"mason1986obp","bibtex_type":"misc"}{"bibtex_key":"Marwitt 1970: table 9; FRY & DALLEY 1979 p. 5 & 18Marwitt & Fry p.5","bibtex_type":"misc"}{"bibtex_key":"Mason R.J. 1986.Origins of black people of Johannesburg and the southern western central Transvaal AD 350-1880. Occasional Paper 16. Johannesburg: Archaeological Research Unit Witwatersrand University.","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Kigoshi et al. 1973; Lowdon and Blake 1968; Lowdon et al. 1970; Beaudoin 1988 1991 1987 1998; Brink and Dawe 1989; Brink et al. 1985 1986; Reeves 1970a 1978; Faunmap 3509","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: mason1986obp
:bibtex_type: :misc
---
:bibtex_key: 'Marwitt 1970: table 9; FRY & DALLEY 1979 p. 5 & 18Marwitt & Fry p.5'
:bibtex_type: :misc
---
:bibtex_key: 'Mason R.J. 1986.Origins of black people of Johannesburg and the southern
  western central Transvaal AD 350-1880. Occasional Paper 16. Johannesburg: Archaeological
  Research Unit Witwatersrand University.'
:bibtex_type: :misc
---
:bibtex_key: Brumley and Rushworth 1983; Kigoshi et al. 1973; Lowdon and Blake 1968;
  Lowdon et al. 1970; Beaudoin 1988 1991 1987 1998; Brink and Dawe 1989; Brink et
  al. 1985 1986; Reeves 1970a 1978; Faunmap 3509
: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