Fra-82, radiocarbon date from Broederstroom

Measurement

Age (uncal BP): 1450
Error (±): 100
Lab: NA
Method: NA
Sample material: charcoal
Sample taxon: NA

Calibration

Calibration curve

SHCal20 (Hogg et al. 2020)

Calibrated age (2σ, cal BP)

1545–1175
1160–1130

Context

Site: Broederstroom
Context
Sample position: NA
Sample coordinates: NA

Bibliographic references (14)

No bibliographic information available. [Protsch R. and Weninger B. 1984. Frankfurt radiocarbon dates I.Radiocarbon26(2) pp.185-195.]
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]
No bibliographic information available. [protsch1984frd]
No bibliographic information available. [mason1981esb]
No bibliographic information available. [huffman2007h]
No bibliographic information available. [Spennemann 1984 143]
No bibliographic information available. [Yerkes 2009]
No bibliographic information available. [Mason R.J. 1981. Early Iron Age settlement at Broederstroom 24/73 Transvaal South Africa.South African Journal of Science77(9) pp.401-416.]
No bibliographic information available. [Breunig 1987 174]
No bibliographic information available. [Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80]
No bibliographic information available. [Maggs TM and Ward V. 1980. Driel Shelter: rescue at a Late Stone Age site on the Tugela River.Annals of the Natal Museum24 pp.35-70.]
No bibliographic information available. [Wei√ühaar 1989]
No bibliographic information available. [BERRY AND BERRY 1986; Benedict and Olson 1978; Tucek 1977: 250]
No bibliographic information available. [Ericson 1977]

@misc{Protsch R. and Weninger B. 1984. Frankfurt radiocarbon dates I.Radiocarbon26(2) pp.185-195.,
  
}
@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}
}
@misc{protsch1984frd,
  
}
@misc{mason1981esb,
  
}
@misc{huffman2007h,
  
}
@misc{Spennemann 1984 143,
  
}
@misc{Yerkes 2009,
  
}
@misc{Mason R.J. 1981. Early Iron Age settlement at Broederstroom 24/73 Transvaal South Africa.South African Journal of Science77(9) pp.401-416.,
  
}
@misc{Breunig 1987 174,
  
}
@misc{Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80,
  
}
@misc{Maggs TM and Ward V. 1980. Driel Shelter: rescue at a Late Stone Age site on the Tugela River.Annals of the Natal Museum24 pp.35-70.,
  
}
@misc{Wei√ühaar 1989,
  
}
@misc{BERRY AND BERRY 1986; Benedict and Olson 1978; Tucek 1977: 250,
  
}
@misc{Ericson 1977,
  
}

{"bibtex_key":"Protsch R. and Weninger B. 1984. Frankfurt radiocarbon dates I.Radiocarbon26(2) pp.185-195.","bibtex_type":"misc"}[{"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":"protsch1984frd","bibtex_type":"misc"}{"bibtex_key":"mason1981esb","bibtex_type":"misc"}{"bibtex_key":"huffman2007h","bibtex_type":"misc"}{"bibtex_key":"Spennemann 1984 143","bibtex_type":"misc"}{"bibtex_key":"Yerkes 2009","bibtex_type":"misc"}{"bibtex_key":"Mason R.J. 1981. Early Iron Age settlement at Broederstroom 24/73 Transvaal South Africa.South African Journal of Science77(9) pp.401-416.","bibtex_type":"misc"}{"bibtex_key":"Breunig 1987 174","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80","bibtex_type":"misc"}{"bibtex_key":"Maggs TM and Ward V. 1980. Driel Shelter: rescue at a Late Stone Age site on the Tugela River.Annals of the Natal Museum24 pp.35-70.","bibtex_type":"misc"}{"bibtex_key":"Wei√ühaar 1989","bibtex_type":"misc"}{"bibtex_key":"BERRY AND BERRY 1986; Benedict and Olson 1978; Tucek 1977: 250","bibtex_type":"misc"}{"bibtex_key":"Ericson 1977","bibtex_type":"misc"}

---
:bibtex_key: Protsch R. and Weninger B. 1984. Frankfurt radiocarbon dates I.Radiocarbon26(2)
  pp.185-195.
:bibtex_type: :misc
---
- :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: protsch1984frd
:bibtex_type: :misc
---
:bibtex_key: mason1981esb
:bibtex_type: :misc
---
:bibtex_key: huffman2007h
:bibtex_type: :misc
---
:bibtex_key: Spennemann 1984 143
:bibtex_type: :misc
---
:bibtex_key: Yerkes 2009
:bibtex_type: :misc
---
:bibtex_key: Mason R.J. 1981. Early Iron Age settlement at Broederstroom 24/73 Transvaal
  South Africa.South African Journal of Science77(9) pp.401-416.
:bibtex_type: :misc
---
:bibtex_key: Breunig 1987 174
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon
  23: 43-80'
:bibtex_type: :misc
---
:bibtex_key: 'Maggs TM and Ward V. 1980. Driel Shelter: rescue at a Late Stone Age
  site on the Tugela River.Annals of the Natal Museum24 pp.35-70.'
:bibtex_type: :misc
---
:bibtex_key: Wei√ühaar 1989
:bibtex_type: :misc
---
:bibtex_key: 'BERRY AND BERRY 1986; Benedict and Olson 1978; Tucek 1977: 250'
:bibtex_type: :misc
---
:bibtex_key: Ericson 1977
:bibtex_type: :misc

Changelog

Imported from p3k14c via c14bazAAR

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