Site type

Location

Coordinates (degrees)
048.820° N, 082.250° W
Coordinates (DMS)
048° 49' 00" W, 082° 14' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-11700 charcoal; charbon de bois NA NA 7670±120 BP 8772–8186 cal BP Harington 2003: 352; Brown 1966; Faunmap 4422 Bird et al. 2022
SFU-151 charcoal; charbon de bois NA NA 690±180 BP 959–313 cal BP Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904 Bird et al. 2022
SFU-152 charcoal; charbon de bois NA NA 170±120 BP 452–350 cal BP Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904 Bird et al. 2022
SFU-153 charcoal; charbon de bois NA NA 370±90 BP 551–150 cal BP Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904 Bird et al. 2022
SFU-154 charcoal; charbon de bois NA NA 610±80 BP 680–507 cal BP Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904 Bird et al. 2022
SFU-155 charcoal; charbon de bois NA NA 1450±250 BP 1887–797 cal BP Cannon 1991; Nelson and Hobson 1982; Rutherford et al. 1984; Chisholm 1986; Hobson and Nelson 1984; Cannon et al. 1999; Carlson 1991 1996 Bird et al. 2022
SFU-169 charcoal; charbon de bois NA NA 480±260 BP 903–809 cal BP Cannon 1991; Nelson and Hobson 1982; Rutherford et al. 1984; Chisholm 1986; Hobson and Nelson 1984; Cannon et al. 1999; Carlson 1991 1996 Bird et al. 2022
SFU-170 charcoal; charbon de bois NA NA 1320±700 BP 2716–65 cal BP Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904 Bird et al. 2022
SFU-171 charcoal; charbon de bois NA NA 1840±350 BP 2703–1068 cal BP Hutchinson 1992 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Harington 2003: 352; Brown 1966; Faunmap 4422,
  
}
@misc{Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904,
  
}
@misc{Cannon 1991;  Nelson and Hobson 1982;  Rutherford et al. 1984;  Chisholm 1986;  Hobson and Nelson 1984;  Cannon et al. 1999;  Carlson 1991 1996,
  
}
@misc{Hutchinson 1992,
  
}
@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":"Harington 2003: 352; Brown 1966; Faunmap 4422","bibtex_type":"misc"}{"bibtex_key":"Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904","bibtex_type":"misc"}{"bibtex_key":"Cannon 1991;  Nelson and Hobson 1982;  Rutherford et al. 1984;  Chisholm 1986;  Hobson and Nelson 1984;  Cannon et al. 1999;  Carlson 1991 1996","bibtex_type":"misc"}{"bibtex_key":"Hutchinson 1992","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: 'Harington 2003: 352; Brown 1966; Faunmap 4422'
:bibtex_type: :misc
---
:bibtex_key: 'Hanks 1988; Julig 1994; Hobson and Nelson 1983: 904'
:bibtex_type: :misc
---
:bibtex_key: Cannon 1991;  Nelson and Hobson 1982;  Rutherford et al. 1984;  Chisholm
  1986;  Hobson and Nelson 1984;  Cannon et al. 1999;  Carlson 1991 1996
:bibtex_type: :misc
---
:bibtex_key: Hutchinson 1992
: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