Site type

Location

Coordinates (degrees)
021.953° S, 026.611° E
Coordinates (DMS)
021° 57' 00" E, 026° 36' 00" S
Country (ISO 3166)
Botswana (BW)

radiocarbon date Radiocarbon dates (48)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
TX-6992 Western Precinct NA conventional 14C 1200±60 BP denbow2008aeb
TX-6993 Central Precinct NA conventional 14C 1020±70 BP denbow2008aeb
TX-6994 East Precinct NA conventional 14C 1370±60 BP denbow2008aeb
TX-6995 East Precinct NA conventional 14C 1070±60 BP denbow2008aeb
TX-6996 Central Precinct NA conventional 14C 980±80 BP denbow2008aeb
TX-6997 Central Precinct NA conventional 14C 1230±60 BP denbow2008aeb
Beta-159776 NA NA 400±50 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-159777 NA NA 370±50 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-159778 NA NA 570±60 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-159779 NA NA 590±60 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-159780 NA NA 850±40 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-159781 NA NA 830±70 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-171916 NA NA 360±60 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
Beta-171917 NA NA 950±60 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
TX-6967 NA NA 590±70 BP SARD Bird et al. 2022
TX-6981 NA NA 900±70 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
TX-6982 NA NA 1170±80 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
TX-6983 NA NA 680±70 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
TX-6985 NA NA 1070±60 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022
TX-6987 NA NA 850±70 BP Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480. Bird et al. 2022

typological date Typological dates (52)

Classification Estimated age References
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA
Iron Age NA denbow2008aeb
NA NA

Bibliographic reference Bibliographic references

@misc{denbow2008aeb,
  
}
@misc{Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480.,
  
}
@misc{SARD,
  
}
@misc{Dent 1995; Broster et al. 1991; Goodyear 1999: 448; Wisner 1993,
  
}
@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":"denbow2008aeb","bibtex_type":"misc"}{"bibtex_key":"Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal of Archaeological Science35(2) pp.459-480.","bibtex_type":"misc"}{"bibtex_key":"SARD","bibtex_type":"misc"}{"bibtex_key":"Dent 1995; Broster et al. 1991; Goodyear 1999: 448; Wisner 1993","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: denbow2008aeb
:bibtex_type: :misc
---
:bibtex_key: 'Denbow J. Smith J. Ndobochani N.M. Atwood K. and Miller D. 2008. Archaeological
  excavations at Bosutswe Botswana: cultural chronology paleo-ecology and economy.Journal
  of Archaeological Science35(2) pp.459-480.'
:bibtex_type: :misc
---
:bibtex_key: SARD
:bibtex_type: :misc
---
:bibtex_key: 'Dent 1995; Broster et al. 1991; Goodyear 1999: 448; Wisner 1993'
: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