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)
049.987° N, 122.595° W
Coordinates (DMS)
049° 59' 00" W, 122° 35' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-38807 plant remains; restes de plantes NA NA 4590±50 BP 5465–5051 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
Beta-38808 wood; bois NA NA 3950±60 BP 4570–4158 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
Beta-38809 wood; bois NA NA 4260±70 BP 5031–4575 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
Beta-38810 wood; bois NA NA 4370±60 BP 5277–4835 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
Beta-38811 wood; bois NA NA 2310±105 BP 2707–2060 cal BP Carrico R. L. T. G. Cooley and J. Clevenger 1991 Bird et al. 2022
GaK-4646 charcoal; charbon de bois NA NA 2030±95 BP 2302–1733 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4647 charcoal; charbon de bois NA NA 4240±110 BP 5267–4425 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4648 charcoal; charbon de bois NA NA 7430±340 BP 9020–7582 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4649 charcoal; charbon de bois NA NA 5730±125 BP 6827–6288 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4650 charcoal; charbon de bois NA NA 3280±105 BP 3827–3246 cal BP Gambier 1985 Bird et al. 2022
GaK-4863 charcoal; charbon de bois NA NA 3700±120 BP 4410–3720 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984; Faunmap 4082 Bird et al. 2022
GaK-4864 charcoal; charbon de bois NA NA 6780±135 BP 7925–7426 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4865 charcoal; charbon de bois NA NA 8150±250 BP 9545–8425 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4866 charcoal; charbon de bois NA NA 3570±95 BP 4146–3585 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
GaK-4867 charcoal; charbon de bois NA NA 3970±90 BP 4808–4150 cal BP Brumley and Rushworth 1983; Hall 1976 Bird et al. 2022
RIDDL-1229 plant remains; restes de plantes NA NA 2300±70 BP 2685–2117 cal BP Harington 2003: 395; Morlan et al. 1990; Faunmap 3772 Bird et al. 2022
S-787 charcoal; charbon de bois NA NA 4190±110 BP 5030–4417 cal BP Borden 1975; Eldridge and Acheson 1992; Matson 1976 1981; Rutherford et al. 1984 Bird et al. 2022
WSU-2858 charcoal; charbon de bois NA NA 4440±80 BP 5295–4866 cal BP Jenkinset al.2004 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford et al. 1984,
  
}
@misc{Carrico R. L. T. G. Cooley and J. Clevenger 1991,
  
}
@misc{Gambier 1985,
  
}
@misc{Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford et al. 1984;  Faunmap 4082,
  
}
@misc{Brumley and Rushworth 1983; Hall 1976,
  
}
@misc{Harington 2003: 395; Morlan et al. 1990; Faunmap 3772,
  
}
@misc{Jenkinset al.2004,
  
}
@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":"Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford et al. 1984","bibtex_type":"misc"}{"bibtex_key":"Carrico R. L. T. G. Cooley and J. Clevenger 1991","bibtex_type":"misc"}{"bibtex_key":"Gambier 1985","bibtex_type":"misc"}{"bibtex_key":"Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford et al. 1984;  Faunmap 4082","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Hall 1976","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 395; Morlan et al. 1990; Faunmap 3772","bibtex_type":"misc"}{"bibtex_key":"Jenkinset al.2004","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: Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford
  et al. 1984
:bibtex_type: :misc
---
:bibtex_key: Carrico R. L. T. G. Cooley and J. Clevenger 1991
:bibtex_type: :misc
---
:bibtex_key: Gambier 1985
:bibtex_type: :misc
---
:bibtex_key: Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford
  et al. 1984;  Faunmap 4082
:bibtex_type: :misc
---
:bibtex_key: Brumley and Rushworth 1983; Hall 1976
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 395; Morlan et al. 1990; Faunmap 3772'
:bibtex_type: :misc
---
:bibtex_key: Jenkinset al.2004
: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