Site type

Location

Coordinates (degrees)
049.838° N, 116.689° W
Coordinates (DMS)
049° 50' 00" W, 116° 41' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
RIDDL-245 NA bison bone collagen; collagène osseux de bison NA NA 260±100 BP 495–57 cal BP Lawhead et al. 1986; Richards and Rousseau 1987; Stryd and Rousseau 1996; Faunmap 4110 Bird et al. 2022
SFU-176 NA charcoal; charbon de bois NA NA 1250±120 BP 1355–926 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-177 NA charcoal; charbon de bois NA NA 260±200 BP 622–605 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-178 NA charcoal; charbon de bois NA NA 480±200 BP 765–235 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-179 NA charcoal; charbon de bois NA NA 1040±110 BP 1244–726 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-180 NA charcoal; charbon de bois NA NA 1780±80 BP 1884–1479 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-181 NA charcoal; charbon de bois NA NA 1170±260 BP 1570–568 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-182 NA charcoal; charbon de bois NA NA 860±400 BP 1521–60 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-183 NA charcoal; charbon de bois NA NA 790±150 BP 1051–511 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-184 NA charcoal; charbon de bois NA NA 220±100 BP 455–349 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-185 NA charcoal; charbon de bois NA NA 980±250 BP 1350–520 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-187 NA charcoal; charbon de bois NA NA 700±110 BP 903–507 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-188 NA charcoal; charbon de bois NA NA 1020±150 BP 1265–676 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-189 NA charcoal; charbon de bois NA NA 1860±150 BP 2142–1410 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; Faunmap 4130 Bird et al. 2022
SFU-190 NA charcoal; charbon de bois NA NA 750±90 BP 904–544 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-191 NA charcoal; charbon de bois NA NA 110±80 BP 286–165 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-192 NA charcoal; charbon de bois NA NA 700±100 BP 897–515 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-193 NA charcoal; charbon de bois NA NA 760±140 BP 955–514 cal BP Hobson and Nelson 1983; Richards and Rousseau 1987; Mohs 1982 Bird et al. 2022
SFU-194 NA charcoal; charbon de bois NA NA 2210±180 BP 2721–1750 cal BP Capes 1964; McCallum and Dyck 1960; Faunmap 4101 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Lawhead et al. 1986;  Richards and Rousseau 1987;  Stryd and Rousseau 1996;  Faunmap 4110,
  
}
@misc{Hobson and Nelson 1983;  Richards and Rousseau 1987;  Mohs 1982,
  
}
@misc{Cannon 1991;  Nelson and Hobson 1982;  Rutherford et al. 1984;  Chisholm 1986;  Hobson and Nelson 1984;  Cannon et al. 1999;  Carlson 1991 1996;  Faunmap 4130,
  
}
@misc{Capes 1964;  McCallum and Dyck 1960;  Faunmap 4101,
  
}
@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":"Lawhead et al. 1986;  Richards and Rousseau 1987;  Stryd and Rousseau 1996;  Faunmap 4110","bibtex_type":"misc"}{"bibtex_key":"Hobson and Nelson 1983;  Richards and Rousseau 1987;  Mohs 1982","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;  Faunmap 4130","bibtex_type":"misc"}{"bibtex_key":"Capes 1964;  McCallum and Dyck 1960;  Faunmap 4101","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: Lawhead et al. 1986;  Richards and Rousseau 1987;  Stryd and Rousseau
  1996;  Faunmap 4110
:bibtex_type: :misc
---
:bibtex_key: Hobson and Nelson 1983;  Richards and Rousseau 1987;  Mohs 1982
: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;  Faunmap
  4130
:bibtex_type: :misc
---
:bibtex_key: Capes 1964;  McCallum and Dyck 1960;  Faunmap 4101
: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