Site type

Location

Coordinates (degrees)
063.628° N, 135.508° W
Coordinates (DMS)
063° 37' 00" W, 135° 30' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-152442 wood; bois NA NA 4100±40 BP Hare et al. 2004 Bird et al. 2022
Beta-152443 wood; bois NA NA 5240±40 BP Hare et al. 2004 Bird et al. 2022
Beta-154960 antler; bois de cerf NA NA 7310±40 BP Hare et al. 2004 Bird et al. 2022
Beta-162351 wood; bois NA NA 4500±50 BP Hare et al. 2004 Bird et al. 2022
Beta-162352 wood; bois NA NA 3770±50 BP Farnell et al. 2004 Bird et al. 2022
Beta-162353 wood; bois NA NA 7290±50 BP Hare et al. 2004 Bird et al. 2022
Beta-162658 wood; bois NA NA 3590±50 BP Farnell et al. 2004 Bird et al. 2022
Beta-165101 wood; bois NA NA 3010±40 BP Hare et al. 2004 Bird et al. 2022
Beta-182661 animal remains; restes d'animaux NA NA 1430±40 BP Hare et al. 2004 Bird et al. 2022
Beta-185970 antler; bois de cerf NA NA 3880±40 BP Farnell et al. 2004 Bird et al. 2022
Beta-185971 wood; bois NA NA 4540±40 BP Hare et al. 2004 Bird et al. 2022
Beta-185972 wood; bois NA NA 8360±60 BP Hare et al. 2004 Bird et al. 2022
GSC-2002 spruce charcoal; charbon d'épinette NA NA 1890±50 BP Harington 2003: 350; Lowdon and Blake 1976; Faunmap 3790 Bird et al. 2022
GSC-2028 charred spruce wood; bois d'épinette carbonisé NA NA 800±60 BP Lowdon and Blake 1979; Harington 2003: 393; Clague 1980; Bobrowsky et al. 1991; Mathews 1978; Faunmap 4147 Bird et al. 2022
S-777 ungulate bone collagen; collagène osseux d' ongulé NA NA 1365±145 BP Rutherford et al. 1984; Gordon 1996; Dickson 1976 1980 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Hare et al. 2004,
  
}
@misc{Farnell et al. 2004,
  
}
@misc{Harington 2003: 350; Lowdon and Blake 1976; Faunmap 3790,
  
}
@misc{Lowdon and Blake 1979; Harington 2003: 393; Clague 1980; Bobrowsky et al. 1991; Mathews 1978; Faunmap 4147,
  
}
@misc{Rutherford et al. 1984; Gordon 1996; Dickson 1976 1980,
  
}
@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":"Hare et al. 2004","bibtex_type":"misc"}{"bibtex_key":"Farnell et al. 2004","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 350; Lowdon and Blake 1976; Faunmap 3790","bibtex_type":"misc"}{"bibtex_key":"Lowdon and Blake 1979; Harington 2003: 393; Clague 1980; Bobrowsky et al. 1991; Mathews 1978; Faunmap 4147","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Gordon 1996; Dickson 1976 1980","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: Hare et al. 2004
:bibtex_type: :misc
---
:bibtex_key: Farnell et al. 2004
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 350; Lowdon and Blake 1976; Faunmap 3790'
:bibtex_type: :misc
---
:bibtex_key: 'Lowdon and Blake 1979; Harington 2003: 393; Clague 1980; Bobrowsky et
  al. 1991; Mathews 1978; Faunmap 4147'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Gordon 1996; Dickson 1976 1980
: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}"

Changelog