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 (33)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CAMS-10599 wood; bois NA NA 9280±60 BP 10646–10256 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10600 spruce wood; bois d'épinette NA NA 9580±200 BP 11397–10260 cal BP CARD Bird et al. 2022
CAMS-10844 wood; bois NA NA 9750±70 BP 11275–10796 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10845 marine shell; coquillage NA NA 9900±70 BP 11684–11196 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10846 wood; bois NA NA 9320±60 BP 10687–10299 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10847 wood; bois NA NA 9430±100 BP 11102–10382 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10848 marine shell; coquillage NA NA 10030±100 BP 11876–11245 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10853 marine shell; coquillage NA NA 10020±60 BP 11749–11272 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Magne 2000 Bird et al. 2022
CAMS-10855 animal remains; restes d'animaux NA NA 9720±70 BP 11251–10791 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-10856 marine shell; coquillage NA NA 9930±60 BP 11686–11225 cal BP Southon and Fedje 2000 Bird et al. 2022
CAMS-33906 charcoal; charbon de bois NA NA 7410±60 BP 8365–8038 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b Bird et al. 2022
CAMS-33907 charcoal; charbon de bois NA NA 7000±50 BP 7934–7710 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b Bird et al. 2022
CAMS-33908 charcoal; charbon de bois NA NA 8150±60 BP 9285–8990 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b Bird et al. 2022
CAMS-33909 charcoal; charbon de bois NA NA 8880±50 BP 10184–9775 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-4111 charcoal; charbon de bois NA NA 5650±70 BP 6621–6300 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b Bird et al. 2022
CAMS-4112 charcoal; charbon de bois NA NA 5650±70 BP 6621–6300 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-4113 spruce wood; bois d'épinette NA NA 9100±90 BP 10553–9922 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-4114 spruce wood; bois d'épinette NA NA 8890±70 BP 10200–9730 cal BP CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999 Bird et al. 2022
CAMS-8373 marine shell; coquillage NA NA 9680±70 BP 11234–10775 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022
CAMS-8376 marine shell; coquillage NA NA 9870±60 BP 11601–11186 cal BP Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995,
  
}
@misc{CARD,
  
}
@misc{Southon and Fedje 2000; Fedje and Christensen 1999; Magne 2000,
  
}
@misc{Southon and Fedje 2000,
  
}
@misc{Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b,
  
}
@misc{Southon and Fedje 2000; Fedje and Christensen 1999,
  
}
@misc{CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999,
  
}
@misc{Iceland 1997: Table 2.2,
  
}
@misc{Harington 2003: 381; Matheus 1995; Faunmap 3720,
  
}
@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":"Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b; Josenhans et al. 1995","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christensen 1999; Magne 2000","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a 1996b","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christensen 1999","bibtex_type":"misc"}{"bibtex_key":"CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999","bibtex_type":"misc"}{"bibtex_key":"Iceland 1997: Table 2.2","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 381; Matheus 1995; Faunmap 3720","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: Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a
  1996b; Josenhans et al. 1995
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christensen 1999; Magne 2000
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christensen 1999; Fedje et al. 1996a
  1996b
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christensen 1999
:bibtex_type: :misc
---
:bibtex_key: CAA Newsletter 19(1) 1999; Hudecek-Cuffe p.c. 1999
:bibtex_type: :misc
---
:bibtex_key: 'Iceland 1997: Table 2.2'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 381; Matheus 1995; Faunmap 3720'
: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