Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
055.757° N, 129.755° W
Coordinates (DMS)
055° 45' 00" W, 129° 45' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (19)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-2334 charcoal; charbon de bois NA NA 4395±130 BP 5444–4587 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
S-2335 charcoal; charbon de bois NA NA 635±100 BP 770–492 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
S-2336 charcoal; charbon de bois NA NA 4745±195 BP 5902–4884 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
S-2337 charcoal; charbon de bois NA NA 4655±130 BP 5649–4920 cal BP Lowdon et al. 1972; Wilmeth 1978a; Chisholm 1986; Rutherford et al. 1979 1981; Severs 1974a 1974c Bird et al. 2022
SFU-132 charcoal; charbon de bois NA NA 3130±100 BP 3565–3070 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-133 charcoal; charbon de bois NA NA 3780±120 BP 4517–3835 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-134 charcoal; charbon de bois NA NA 3230±160 BP 3845–3003 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-135 charcoal; charbon de bois NA NA 890±160 BP 1175–551 cal BP Nelson and Hobson 1982; Richards and Rousseau 1987; Matson et al. 1980; Magne 1983-007 and 1984-011 Bird et al. 2022
SFU-255 charcoal; charbon de bois NA NA 4060±120 BP 4851–4187 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-256 charcoal; charbon de bois NA NA 4130±90 BP 4842–4424 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-257 charcoal; charbon de bois NA NA 4250±100 BP 5263–4446 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-258 charcoal; charbon de bois NA NA 4270±200 BP 5445–4253 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-259 charcoal; charbon de bois NA NA 5050±140 BP 6182–5480 cal BP Ball 1979 1981; Wilmeth 1978a; Mitchell 1971a; Nelson and Hobson 1982; Brolly 1997; Burley 1980; Chisholm 1986; Ham 1981; Matson and Coupland 1995; Matson et al. 1980 Bird et al. 2022
SFU-260 charcoal; charbon de bois NA NA 1330±90 BP 1390–1004 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
SFU-261 charcoal; charbon de bois NA NA 4350±320 BP 5718–4017 cal BP Hobson and Nelson 1983; Fladmark 1985 Bird et al. 2022
WSU-2920 charcoalé; charbon de bois NA NA 2840±85 BP 3201–2765 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
WSU-2921 charcoalé; charbon de bois NA NA 3080±85 BP 3457–3007 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
WSU-2922 charcoalé; charbon de bois NA NA 2750±90 BP 3140–2724 cal BP Coupland 1988; Hobson and Nelson 1983 1984 Bird et al. 2022
WSU-2923 charcoalé; charbon de bois NA NA 4280±95 BP 5271–4528 cal BP Ziolkowski et al 1994 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Coupland 1988; Hobson and Nelson 1983 1984,
  
}
@misc{Lowdon et al. 1972; Wilmeth 1978a; Chisholm 1986; Rutherford et al. 1979 1981; Severs 1974a 1974c,
  
}
@misc{Nelson and Hobson 1982;  Richards and Rousseau 1987;  Matson et al. 1980; Magne 1983-007 and 1984-011,
  
}
@misc{Ball 1979 1981;  Wilmeth 1978a;  Mitchell 1971a;  Nelson and Hobson 1982;  Brolly 1997;  Burley 1980;  Chisholm 1986;  Ham 1981;  Matson and Coupland 1995;  Matson et al. 1980,
  
}
@misc{Hobson and Nelson 1983; Fladmark 1985,
  
}
@misc{Ziolkowski et al 1994,
  
}
@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":"Coupland 1988; Hobson and Nelson 1983 1984","bibtex_type":"misc"}{"bibtex_key":"Lowdon et al. 1972; Wilmeth 1978a; Chisholm 1986; Rutherford et al. 1979 1981; Severs 1974a 1974c","bibtex_type":"misc"}{"bibtex_key":"Nelson and Hobson 1982;  Richards and Rousseau 1987;  Matson et al. 1980; Magne 1983-007 and 1984-011","bibtex_type":"misc"}{"bibtex_key":"Ball 1979 1981;  Wilmeth 1978a;  Mitchell 1971a;  Nelson and Hobson 1982;  Brolly 1997;  Burley 1980;  Chisholm 1986;  Ham 1981;  Matson and Coupland 1995;  Matson et al. 1980","bibtex_type":"misc"}{"bibtex_key":"Hobson and Nelson 1983; Fladmark 1985","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","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: Coupland 1988; Hobson and Nelson 1983 1984
:bibtex_type: :misc
---
:bibtex_key: Lowdon et al. 1972; Wilmeth 1978a; Chisholm 1986; Rutherford et al. 1979
  1981; Severs 1974a 1974c
:bibtex_type: :misc
---
:bibtex_key: Nelson and Hobson 1982;  Richards and Rousseau 1987;  Matson et al. 1980;
  Magne 1983-007 and 1984-011
:bibtex_type: :misc
---
:bibtex_key: Ball 1979 1981;  Wilmeth 1978a;  Mitchell 1971a;  Nelson and Hobson 1982;  Brolly
  1997;  Burley 1980;  Chisholm 1986;  Ham 1981;  Matson and Coupland 1995;  Matson
  et al. 1980
:bibtex_type: :misc
---
:bibtex_key: Hobson and Nelson 1983; Fladmark 1985
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
: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