Wilton Large Rock Shelter

Location

Coordinates (degrees): 033.325° S, 026.142° E
Coordinates (DMS): 033° 19' 00" E, 026° 08' 00" S
Country (ISO 3166 ): South Africa (ZA)

Lab ID	Context	Material	Taxon	Method	Uncalibrated age	References
GaK-1540	base of Layer 2B	charcoal	NA	conventional 14C	2270±100 BP	deacon1972waa
GaK-1541	burial, Layer 3?	charcoal	NA	conventional 14C	8260±720 BP	deacon1972waa
I-2565	Layer 3F	charcoal	NA	conventional 14C	4860±115 BP	deacon1972waa
GaK-1540		charcoal	NA	NA	2270±100 BP	Deacon J. 1972. Wilton: an assessment after fifty years.The South African Archaeological Bulletin27(105/106) pp.10-48. Bird et al. 2022
GaK-1541		charcoal	NA	NA	8260±720 BP	MARWITT 1968 p. 5 & 20. (also Marwitt & Fry 1973 p. 5) Bird et al. 2022
I-2565		charcoal	NA	NA	4860±115 BP	Ritchie 1969; Custer 1996; Funk and Wellman 1984: 91; Funk 1965 1989; Faunmap 857 Bird et al. 2022

Classification	Estimated age	References
LSA	NA	deacon1972waa
Final LSA	NA	NA
LSA	NA	deacon1972waa
Oakhurst	NA	NA
LSA	NA	deacon1972waa
Wilton	NA	NA

Bibliographic references

No bibliographic information available. [deacon1972waa]
No bibliographic information available. [Deacon J. 1972. Wilton: an assessment after fifty years.The South African Archaeological Bulletin27(105/106) pp.10-48.]
No bibliographic information available. [MARWITT 1968 p. 5 & 20. (also Marwitt & Fry 1973 p. 5)]
No bibliographic information available. [Ritchie 1969; Custer 1996; Funk and Wellman 1984: 91; Funk 1965 1989; Faunmap 857]
https://github.com/emmaloftus/Southern-African-Radiocarbon-Database [SARD]
Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]

@misc{deacon1972waa,
  
}
@misc{Deacon J. 1972. Wilton: an assessment after fifty years.The South African Archaeological Bulletin27(105/106) pp.10-48.,
  
}
@misc{MARWITT 1968 p. 5 & 20. (also Marwitt & Fry 1973 p. 5),
  
}
@misc{Ritchie 1969; Custer 1996; Funk and Wellman 1984: 91; Funk 1965 1989; Faunmap 857,
  
}
@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":"deacon1972waa","bibtex_type":"misc"}{"bibtex_key":"Deacon J. 1972. Wilton: an assessment after fifty years.The South African Archaeological Bulletin27(105/106) pp.10-48.","bibtex_type":"misc"}{"bibtex_key":"MARWITT 1968 p. 5 & 20. (also Marwitt & Fry 1973 p. 5)","bibtex_type":"misc"}{"bibtex_key":"Ritchie 1969; Custer 1996; Funk and Wellman 1984: 91; Funk 1965 1989; Faunmap 857","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: deacon1972waa
:bibtex_type: :misc
---
:bibtex_key: 'Deacon J. 1972. Wilton: an assessment after fifty years.The South African
  Archaeological Bulletin27(105/106) pp.10-48.'
:bibtex_type: :misc
---
:bibtex_key: MARWITT 1968 p. 5 & 20. (also Marwitt & Fry 1973 p. 5)
:bibtex_type: :misc
---
:bibtex_key: 'Ritchie 1969; Custer 1996; Funk and Wellman 1984: 91; Funk 1965 1989;
  Faunmap 857'
: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

Imported from source database via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC

Location

Radiocarbon dates (6)

Typological dates (6)

Bibliographic references

Changelog

Imported from source database via c14bazAAR