Waterfall Bluff

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)

Lab ID	Context	Material	Taxon	Method	Uncalibrated age	References
IT-C-2380	458	charcoal	NA	AMS	19871±117 BP	fisher2020cof
IT-C-2381	456	charcoal	NA	AMS	12679±59 BP	fisher2020cof
IT-C-2382	460	charcoal	NA	AMS	11860±56 BP	fisher2020cof
IT-C-2383	216	charcoal	NA	AMS	9543±47 BP	fisher2020cof
IT-C-2384	432	charcoal	NA	AMS	9543±47 BP	fisher2020cof
IT-C-2385	426	charcoal	NA	AMS	9602±50 BP	fisher2020cof
IT-C-2386	432	charcoal	NA	AMS	9541±55 BP	fisher2020cof
IT-C-2387	426	charcoal	NA	AMS	9568±47 BP	fisher2020cof
IT-C-2388	432	charcoal	NA	AMS	9594±51 BP	fisher2020cof
IT-C-2389	354	charcoal	NA	AMS	9561±46 BP	fisher2020cof
IT-C-2390	456	charcoal	NA	AMS	11650±55 BP	fisher2020cof
IT-C-2531	432	charcoal	NA	AMS	9458±43 BP	fisher2020cof
IT-C-2532	440	charcoal	NA	AMS	9644±46 BP	fisher2020cof
IT-C-2533	426	charcoal	NA	AMS	9599±44 BP	fisher2020cof
IT-C-2534	446	charcoal	NA	AMS	23024±154 BP	fisher2020cof
IT-C-2535	394	charcoal	NA	AMS	9560±43 BP	fisher2020cof
IT-C-2536	458	charcoal	NA	AMS	19980±103 BP	fisher2020cof
IT-C-2537	384	charcoal	NA	AMS	9499±45 BP	fisher2020cof
IT-C-2538	420	charcoal	NA	AMS	13596±59 BP	fisher2020cof
IT-C-2539	460	charcoal	NA	AMS	11855±56 BP	fisher2020cof

Classification	Estimated age	References
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
	NA	NA

Bibliographic references

No bibliographic information available. [fisher2020cof]
No bibliographic information available. [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]
No bibliographic information available. [SARD]
No bibliographic information available. [Gehlen 2010]
No bibliographic information available. [Dames and Moore 1974]
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{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

Imported from source database via c14bazAAR

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

Location

Radiocarbon dates (98)

Typological dates (167)

Bibliographic references

Changelog

Imported from source database via c14bazAAR