Tshisiku Shelter

Site type

Location

Map Map with labels Imagery

200 m

Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community

Coordinates (degrees): 022.233° S, 029.148° E
Coordinates (DMS): 022° 13' 00" E, 029° 08' 00" S
Country (ISO 3166): South Africa (ZA)

Lab ID	Taxon	Method	Uncalibrated age	Calibrated age	References
Pta-8652	NA	conventional 14C	5440±60 BP	6391–6007 cal BP	vandoornum2007tss
Pta-8654	NA	conventional 14C	2960±60 BP	3332–2958 cal BP	vandoornum2007tss
Pta-8709	NA	conventional 14C	6750±60 BP	7690–7505 cal BP	vandoornum2007tss
Pta-8652	NA	NA	5440±60 BP	6391–6007 cal BP	Van Doornum B. 2007. Tshisiku Shelter and the Shashe-Limpopo confluence area hunter-gatherer sequence.Southern African Humanities19(1) pp.17-67. Bird et al. 2022
Pta-8654	NA	NA	2960±60 BP	3332–2958 cal BP	Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394 Bird et al. 2022
Pta-8709	NA	NA	6750±60 BP	7690–7505 cal BP	Sadr K. 2004. Feasting on Kasteelbergà Early herders on the west coast of South Africa.Before Farming2004(3) pp.1-17. Bird et al. 2022

Classification	Estimated age	References
LSA	NA	vandoornum2007tss
Wilton	NA	NA
	NA	vandoornum2007tss
LSA	NA	vandoornum2007tss
Wilton	NA	NA

Bibliographic references

No bibliographic information available. [vandoornum2007tss]
No bibliographic information available. [Van Doornum B. 2007. Tshisiku Shelter and the Shashe-Limpopo confluence area hunter-gatherer sequence.Southern African Humanities19(1) pp.17-67.]
No bibliographic information available. [Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394]
No bibliographic information available. [Sadr K. 2004. Feasting on Kasteelbergà Early herders on the west coast of South Africa.Before Farming2004(3) pp.1-17.]
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{vandoornum2007tss,
  
}
@misc{Van Doornum B. 2007. Tshisiku Shelter and the Shashe-Limpopo confluence area hunter-gatherer sequence.Southern African Humanities19(1) pp.17-67.,
  
}
@misc{Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394,
  
}
@misc{Sadr K. 2004. Feasting on Kasteelbergà Early herders on the west coast of South Africa.Before Farming2004(3) pp.1-17.,
  
}
@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":"vandoornum2007tss","bibtex_type":"misc"}{"bibtex_key":"Van Doornum B. 2007. Tshisiku Shelter and the Shashe-Limpopo confluence area hunter-gatherer sequence.Southern African Humanities19(1) pp.17-67.","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon 13: 378-394","bibtex_type":"misc"}{"bibtex_key":"Sadr K. 2004. Feasting on Kasteelbergà Early herders on the west coast of South Africa.Before Farming2004(3) pp.1-17.","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: vandoornum2007tss
:bibtex_type: :misc
---
:bibtex_key: Van Doornum B. 2007. Tshisiku Shelter and the Shashe-Limpopo confluence
  area hunter-gatherer sequence.Southern African Humanities19(1) pp.17-67.
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Marais M. 1971. Pretoria radiocarbon dates I. Radiocarbon
  13: 378-394'
:bibtex_type: :misc
---
:bibtex_key: Sadr K. 2004. Feasting on Kasteelbergà Early herders on the west coast
  of South Africa.Before Farming2004(3) pp.1-17.
: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

Linked Data

Radiocarbon dates (6)

Typological dates (5)

Bibliographic references

Changelog

Imported from source database via c14bazAAR