Site type

Location

Coordinates (degrees)
020.360° S, 022.960° E
Coordinates (DMS)
020° 21' 00" E, 022° 57' 00" S
Country (ISO 3166)
Botswana (BW)

radiocarbon date Radiocarbon dates (16)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AA-58186 other charcoal temper AMS 1639±33 BP robbins2008rar
AA-58187 other charcoal temper AMS 643±31 BP robbins2008rar
AA-58188 other charcoal temper AMS 571±31 BP robbins2008rar
Beta-184609 charcoal NA AMS 1560±60 BP robbins2008rar
Beta-186670 charcoal Bos taurus AMS 1480±40 BP robbins2008rar
Beta-18669 bone Ovis aries AMS 2020±40 BP robbins2008rar
Beta-1904888 bone Bos taurus AMS 2070±40 BP robbins2008rar
Pta-5534 charcoal NA conventional 14C 1820±50 BP huffman1994tpo
AA-58186 other NA NA 1639±33 BP SARD Bird et al. 2022
AA-58187 other NA NA 643±31 BP SARD Bird et al. 2022
AA-58188 other NA NA 571±31 BP SARD Bird et al. 2022
Beta-184609 charcoal NA NA 1560±60 BP SARD Bird et al. 2022
Beta-186670 charcoal NA NA 1480±40 BP SARD Bird et al. 2022
Beta-18669 bone NA NA 2020±40 BP SARD Bird et al. 2022
Beta-1904888 bone NA NA 2070±40 BP SARD Bird et al. 2022
Pta-5534 charcoal NA NA 1820±50 BP Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western Cape South Africa and the archaeological identity of prehistoric hunter-gatherers within the last 2000 years.The South African Archaeological Bulletin pp.71-91. Bird et al. 2022

typological date Typological dates (16)

Classification Estimated age References
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA robbins2008rar
Early Iron Age NA NA
Iron Age NA huffman1994tpo
Early Iron Age NA NA

Bibliographic reference Bibliographic references

@misc{robbins2008rar,
  
}
@misc{huffman1994tpo,
  
}
@misc{SARD,
  
}
@misc{Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western Cape South Africa and the archaeological identity of prehistoric hunter-gatherers within the last 2000 years.The South African Archaeological Bulletin pp.71-91.,
  
}
@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":"robbins2008rar","bibtex_type":"misc"}{"bibtex_key":"huffman1994tpo","bibtex_type":"misc"}{"bibtex_key":"SARD","bibtex_type":"misc"}{"bibtex_key":"Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western Cape South Africa and the archaeological identity of prehistoric hunter-gatherers within the last 2000 years.The South African Archaeological Bulletin pp.71-91.","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: robbins2008rar
:bibtex_type: :misc
---
:bibtex_key: huffman1994tpo
:bibtex_type: :misc
---
:bibtex_key: SARD
:bibtex_type: :misc
---
:bibtex_key: Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western
  Cape South Africa and the archaeological identity of prehistoric hunter-gatherers
  within the last 2000 years.The South African Archaeological Bulletin pp.71-91.
: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