Site type

Location

Coordinates (degrees)
066.369° N, 118.982° W
Coordinates (DMS)
066° 22' 00" W, 118° 58' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-798-2 charcoal; charbon de bois NA NA 2150±140 BP Boszhardt 1977; Rodell 2000; Hurley 1978; Rutherford et al. 1984: 260 Bird et al. 2022
S-699 charcoal; charbon de bois NA NA 2820±90 BP Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975 Bird et al. 2022
S-697 charcoal; charbon de bois NA NA 2960±180 BP Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964 Bird et al. 2022
S-696 charcoal; charbon de bois NA NA 3990±120 BP Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964 Bird et al. 2022
S-695 charcoal; charbon de bois NA NA 2240±170 BP Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964 Bird et al. 2022
S-194 charcoal; charbon de bois NA NA 2270±80 BP Wilmeth 1978; Morrison 1989; Mary-Rousseliàre 1976 1979; Rutherford et al. 1973 1975 1981 1984 Bird et al. 2022
S-1256 bone collagen; collagène osseux NA NA 1720±310 BP Rutherford et al. 1979; Gordon 1996 Bird et al. 2022
S-1255 charcoal; charbon de bois NA NA 540±120 BP Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964 Bird et al. 2022
I-3189 charcoal; charbon de bois NA NA 380±100 BP Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et al. 1969 1973; Millar 1968 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et al. 1969 1973; Millar 1968,
  
}
@misc{Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964,
  
}
@misc{Rutherford et al. 1979; Gordon 1996,
  
}
@misc{Wilmeth 1978; Morrison 1989; Mary-Rousseliàre 1976 1979; Rutherford et al. 1973 1975 1981 1984,
  
}
@misc{Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975,
  
}
@misc{Boszhardt 1977; Rodell 2000; Hurley 1978; Rutherford et al. 1984: 260,
  
}
@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":"Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et al. 1969 1973; Millar 1968","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979; Gordon 1996","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Morrison 1989; Mary-Rousseliàre 1976 1979; Rutherford et al. 1973 1975 1981 1984","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975","bibtex_type":"misc"}{"bibtex_key":"Boszhardt 1977; Rodell 2000; Hurley 1978; Rutherford et al. 1984: 260","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: Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et
  al. 1969 1973; Millar 1968
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979; Gordon 1996
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Morrison 1989; Mary-Rousseliàre 1976 1979; Rutherford et
  al. 1973 1975 1981 1984
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975
:bibtex_type: :misc
---
:bibtex_key: 'Boszhardt 1977; Rodell 2000; Hurley 1978; Rutherford et al. 1984: 260'
: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