Site type

Location

Coordinates (degrees)
034.583° S, 019.467° E
Coordinates (DMS)
034° 34' 00" E, 019° 28' 00" S
Country (ISO 3166)
South Africa (ZA)

radiocarbon date Radiocarbon dates (47)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-7948 19 charcoal NA conventional 14C 12730±185 BP 15698–14320 cal BP schweitzer1982bql
OxA-32675 bone NA AMS 1891±27 BP 1870–1730 cal BP loftus2016rdb
OxA-32677 bone NA AMS 3599±28 BP 3975–3839 cal BP loftus2016rdb
OxA-32678 bone NA AMS 5428±33 BP 6294–6190 cal BP loftus2016rdb
OxA-32679 bone NA AMS 5684±32 BP 6551–6398 cal BP loftus2016rdb
OxA-32680 bone NA AMS 5263±33 BP 6179–5934 cal BP loftus2016rdb
OxA-32681 bone NA AMS 5589±34 BP 6437–6302 cal BP loftus2016rdb
OxA-32682 bone NA AMS 6048±33 BP 6980–6795 cal BP loftus2016rdb
OxA-32683 bone NA AMS 5872±33 BP 6780–6631 cal BP loftus2016rdb
OxA-32684 bone NA AMS 10015±45 BP 11736–11312 cal BP loftus2016rdb
OxA-32685 bone NA AMS 12250±55 BP 14780–14045 cal BP loftus2016rdb
OxA-32686 19 bone NA AMS 13565±60 BP 16550–16210 cal BP loftus2016rdb
OxA-32687 19 bone NA AMS 13945±65 BP 17083–16730 cal BP loftus2016rdb
OxA-3863 bone Ovis aries AMS 1370±60 BP 1382–1175 cal BP hedges1994rdo
Pta-1569 NA conventional 14C 3400±55 BP 3826–3485 cal BP schweitzer1982bql
Pta-1571 NA conventional 14C 3900±60 BP 4515–4151 cal BP schweitzer1982bql
Pta-1587 NA conventional 14C 9760±85 BP 11393–10783 cal BP schweitzer1982bql
Pta-1772 NA conventional 14C 6370±90 BP 7462–7021 cal BP schweitzer1982bql
Pta-1864 NA conventional 14C 255±50 BP 467–141 cal BP schweitzer1982bql
Pta-1865 NA conventional 14C 1880±50 BP 1926–1640 cal BP schweitzer1982bql

typological date Typological dates (48)

Classification Estimated age References
LSA NA schweitzer1982bql
Robberg NA NA
LSA NA loftus2016rdb
Final LSA NA NA
LSA NA loftus2016rdb
Wilton NA NA
LSA NA loftus2016rdb
Wilton NA NA
LSA NA loftus2016rdb
Wilton NA NA
LSA NA loftus2016rdb
Wilton NA NA
LSA NA loftus2016rdb
Wilton NA NA
LSA NA loftus2016rdb
Wilton NA NA
LSA NA loftus2016rdb
Oakhurst NA NA
LSA NA loftus2016rdb
Oakhurst NA NA

Bibliographic reference Bibliographic references

@misc{schweitzer1982bql,
  
}
@misc{loftus2016rdb,
  
}
@misc{hedges1994rdo,
  
}
@misc{Loftus E Sealy JC and Lee-Thorp JA. 2016. New Radiocarbon Dates and Bayesian Models for Nelson Bay Cave and Byneskranskop 1: Implications for the South African Later Stone Age Sequence. Radiocarbon 58(2):365–381.,
  
}
@misc{SARD,
  
}
@misc{Smith A.B. 1987.Seasonal exploitation of resources on the Vredenburg Peninsula after 2000 BP(No. 332 pp. 393-402). Oxford: BAR International Series.,
  
}
@misc{Schweitzer FR and Wilson M. 1982. Byneskranskop 1: A Late Quaternary living site in the southern Cape Province. Annals of the South African Museum 88:1–102.,
  
}
@misc{Robertshaw P.T. 1979. Excavations at Duiker Eiland Vredenburg District Cape Province.Annals of the Cape Provincial Museums (Human Sciences)1(1) pp.1-26.,
  
}
@misc{Huffman T.N. and Vogel J.C. 1991. The chronology of Great Zimbabwe.The South African Archaeological Bulletin pp.61-70.,
  
}
@misc{Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80,
  
}
@misc{Beaumont P.B. and Boshier A.K. 1974. Report on test excavations in a prehistoric pigment mine near Postmasburg Northern Cape.The South African Archaeological Bulletin 29(113): 41-59.,
  
}
@misc{Morris AG. 1992. The skeletons of contact. A study of protohistoric burials from the lower Orange River valley South Africa. Witwatersrand University Press: Johannesburg,
  
}
@misc{Lyman 2001; Browman and Munsell 1969: 250; Fairhall et al. 1966: 504; Greengo 1986: 8,
  
}
@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":"schweitzer1982bql","bibtex_type":"misc"}{"bibtex_key":"loftus2016rdb","bibtex_type":"misc"}{"bibtex_key":"hedges1994rdo","bibtex_type":"misc"}{"bibtex_key":"Loftus E Sealy JC and Lee-Thorp JA. 2016. New Radiocarbon Dates and Bayesian Models for Nelson Bay Cave and Byneskranskop 1: Implications for the South African Later Stone Age Sequence. Radiocarbon 58(2):365–381.","bibtex_type":"misc"}{"bibtex_key":"SARD","bibtex_type":"misc"}{"bibtex_key":"Smith A.B. 1987.Seasonal exploitation of resources on the Vredenburg Peninsula after 2000 BP(No. 332 pp. 393-402). Oxford: BAR International Series.","bibtex_type":"misc"}{"bibtex_key":"Schweitzer FR and Wilson M. 1982. Byneskranskop 1: A Late Quaternary living site in the southern Cape Province. Annals of the South African Museum 88:1–102.","bibtex_type":"misc"}{"bibtex_key":"Robertshaw P.T. 1979. Excavations at Duiker Eiland Vredenburg District Cape Province.Annals of the Cape Provincial Museums (Human Sciences)1(1) pp.1-26.","bibtex_type":"misc"}{"bibtex_key":"Huffman T.N. and Vogel J.C. 1991. The chronology of Great Zimbabwe.The South African Archaeological Bulletin pp.61-70.","bibtex_type":"misc"}{"bibtex_key":"Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80","bibtex_type":"misc"}{"bibtex_key":"Beaumont P.B. and Boshier A.K. 1974. Report on test excavations in a prehistoric pigment mine near Postmasburg Northern Cape.The South African Archaeological Bulletin 29(113): 41-59.","bibtex_type":"misc"}{"bibtex_key":"Morris AG. 1992. The skeletons of contact. A study of protohistoric burials from the lower Orange River valley South Africa. Witwatersrand University Press: Johannesburg","bibtex_type":"misc"}{"bibtex_key":"Lyman 2001; Browman and Munsell 1969: 250; Fairhall et al. 1966: 504; Greengo 1986: 8","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: schweitzer1982bql
:bibtex_type: :misc
---
:bibtex_key: loftus2016rdb
:bibtex_type: :misc
---
:bibtex_key: hedges1994rdo
:bibtex_type: :misc
---
:bibtex_key: 'Loftus E Sealy JC and Lee-Thorp JA. 2016. New Radiocarbon Dates and
  Bayesian Models for Nelson Bay Cave and Byneskranskop 1: Implications for the South
  African Later Stone Age Sequence. Radiocarbon 58(2):365–381.'
:bibtex_type: :misc
---
:bibtex_key: SARD
:bibtex_type: :misc
---
:bibtex_key: 'Smith A.B. 1987.Seasonal exploitation of resources on the Vredenburg
  Peninsula after 2000 BP(No. 332 pp. 393-402). Oxford: BAR International Series.'
:bibtex_type: :misc
---
:bibtex_key: 'Schweitzer FR and Wilson M. 1982. Byneskranskop 1: A Late Quaternary
  living site in the southern Cape Province. Annals of the South African Museum 88:1–102.'
:bibtex_type: :misc
---
:bibtex_key: Robertshaw P.T. 1979. Excavations at Duiker Eiland Vredenburg District
  Cape Province.Annals of the Cape Provincial Museums (Human Sciences)1(1) pp.1-26.
:bibtex_type: :misc
---
:bibtex_key: Huffman T.N. and Vogel J.C. 1991. The chronology of Great Zimbabwe.The
  South African Archaeological Bulletin pp.61-70.
:bibtex_type: :misc
---
:bibtex_key: 'Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon
  23: 43-80'
:bibtex_type: :misc
---
:bibtex_key: 'Beaumont P.B. and Boshier A.K. 1974. Report on test excavations in a
  prehistoric pigment mine near Postmasburg Northern Cape.The South African Archaeological
  Bulletin 29(113): 41-59.'
:bibtex_type: :misc
---
:bibtex_key: 'Morris AG. 1992. The skeletons of contact. A study of protohistoric
  burials from the lower Orange River valley South Africa. Witwatersrand University
  Press: Johannesburg'
:bibtex_type: :misc
---
:bibtex_key: 'Lyman 2001; Browman and Munsell 1969: 250; Fairhall et al. 1966: 504;
  Greengo 1986: 8'
: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