Site type

Location

Coordinates (degrees)
031.434° S, 029.824° E
Coordinates (DMS)
031° 26' 00" E, 029° 49' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (98)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
IT-C-2566 456 charcoal NA AMS 12629±64 BP 15245–14646 cal BP fisher2020cof
IT-C-2390 456 charcoal NA AMS 11650±55 BP 13601–13368 cal BP fisher2020cof
IT-C-2569 456 charcoal NA AMS 11641±56 BP 13598–13360 cal BP fisher2020cof
IT-C-2357 450 charcoal NA AMS 17823±95 BP 21955–21385 cal BP fisher2020cof
IT-C-2376 450 charcoal NA AMS 17841±103 BP 21990–21387 cal BP fisher2020cof
BETA-442146 charcoal NA AMS 9520±30 BP 11069–10695 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-442147 charcoal NA AMS 9640±30 BP 11177–10804 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-442148 charcoal NA AMS 7380±30 BP 8323–8041 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-442149 charcoal NA AMS 7550±30 BP 8405–8339 cal BP SARD Bird et al. 2022
BETA-461581 charcoal NA AMS 26330±100 BP 30860–30331 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-461582 charcoal NA AMS 18690±60 BP 22840–22447 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-461583 charcoal NA AMS 17840±50 BP 21860–21441 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-461584 charcoal NA AMS 9680±30 BP 11196–10880 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-461585 charcoal NA AMS 9540±30 BP 11072–10715 cal BP SARD Bird et al. 2022
BETA-469051 charcoal NA AMS 18980±50 BP 22995–22901 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-469052 charcoal NA AMS 9640±30 BP 11177–10804 cal BP Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26 Bird et al. 2022
BETA-469053 charcoal NA AMS 9550±30 BP 11074–10727 cal BP Gehlen 2010 Bird et al. 2022
BETA-516054 charcoal NA AMS 11680±40 BP 13596–13475 cal BP Dames and Moore 1974 Bird et al. 2022

typological date Typological dates (167)

Classification Estimated age References
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof
NA NA
LSA NA fisher2020cof

Bibliographic reference Bibliographic references 

@misc{fisher2020cof,
  
}
@misc{Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26,
  
}
@misc{SARD,
  
}
@misc{Gehlen 2010,
  
}
@misc{Dames and Moore 1974,
  
}
@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":"fisher2020cof","bibtex_type":"misc"}{"bibtex_key":"Fisher E. C. et al 2020. Coastal occupation and foraging during the last glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa. Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26","bibtex_type":"misc"}{"bibtex_key":"SARD","bibtex_type":"misc"}{"bibtex_key":"Gehlen 2010","bibtex_type":"misc"}{"bibtex_key":"Dames and Moore 1974","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: fisher2020cof
:bibtex_type: :misc
---
:bibtex_key: Fisher E. C. et al 2020. Coastal occupation and foraging during the last
  glacial maximum and early Holocene at Waterfall Bluff eastern Pondoland South Africa.
  Quaternary Research 1–41. https://doi.org/10.1017/qua.2020.26
:bibtex_type: :misc
---
:bibtex_key: SARD
:bibtex_type: :misc
---
:bibtex_key: Gehlen 2010
:bibtex_type: :misc
---
:bibtex_key: Dames and Moore 1974
: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