Site type

Location

Coordinates (degrees)
052.542° N, 116.481° W
Coordinates (DMS)
052° 32' 00" W, 116° 28' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BGS-1924 charcoal; charbon de bois NA NA 460±145 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
BGS-1925 charcoal; charbon de bois NA NA 492±90 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
BGS-1926 charcoal; charbon de bois NA NA 1792±125 BP Le Blanc 2004 Bird et al. 2022
BGS-2031 charcoal; charbon de bois NA NA 2682±80 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
BGS-2032 charcoal; charbon de bois NA NA 818±120 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
BGS-2033 charcoal; charbon de bois NA NA 2612±85 BP Mills 1998 p.c. 1999 Bird et al. 2022
CAMS-41241 charcoal; charbon de bois NA NA 8840±40 BP Diaz-Granados et al. 2001 Bird et al. 2022
CAMS-54052 charcoal; charbon de bois NA NA 3140±50 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
CAMS-54053 charcoal; charbon de bois NA NA 4890±50 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
CAMS-54054 charcoal; charbon de bois NA NA 5460±50 BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
CAMS-54055 charcoal; charbon de bois NA NA 3310±50 BP Barnes et al. 2002; Leonard et al. 2000 Bird et al. 2022
TO-6848 charcoal; charbon de bois NA NA 8410±80 BP Carrier 1989; Deschamps 2001; Lauriol et al. 2003; Faunmap 4388 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999,
  
}
@misc{Le Blanc 2004,
  
}
@misc{Mills 1998 p.c. 1999,
  
}
@misc{Diaz-Granados et al. 2001,
  
}
@misc{Barnes et al. 2002; Leonard et al. 2000,
  
}
@misc{Carrier 1989; Deschamps 2001; Lauriol et al. 2003; Faunmap 4388,
  
}
@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":"CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999","bibtex_type":"misc"}{"bibtex_key":"Le Blanc 2004","bibtex_type":"misc"}{"bibtex_key":"Mills 1998 p.c. 1999","bibtex_type":"misc"}{"bibtex_key":"Diaz-Granados et al. 2001","bibtex_type":"misc"}{"bibtex_key":"Barnes et al. 2002; Leonard et al. 2000","bibtex_type":"misc"}{"bibtex_key":"Carrier 1989; Deschamps 2001; Lauriol et al. 2003; Faunmap 4388","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: CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999
:bibtex_type: :misc
---
:bibtex_key: Le Blanc 2004
:bibtex_type: :misc
---
:bibtex_key: Mills 1998 p.c. 1999
:bibtex_type: :misc
---
:bibtex_key: Diaz-Granados et al. 2001
:bibtex_type: :misc
---
:bibtex_key: Barnes et al. 2002; Leonard et al. 2000
:bibtex_type: :misc
---
:bibtex_key: Carrier 1989; Deschamps 2001; Lauriol et al. 2003; Faunmap 4388
: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}"

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