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)
050.941° N, 119.488° W
Coordinates (DMS)
050° 56' 00" W, 119° 29' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (4)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CAMS-18479 Bone NA NA 760±110 BP 910–547 cal BP Stafford 1998; Perttula 2004; Bousman et al 2015 Bird et al. 2022
SFU-228 wood; bois NA NA 2040±400 BP 2960–1176 cal BP Harington 2003: 449; Hobson and Nelson 1984; Badertscher et al. 1987; Tisdale 1978; Faunmap 3814 Bird et al. 2022
SFU-292 bone collagen; collagène osseux NA NA 700±80 BP 771–537 cal BP Pokotylo et al. 1987; Richards and Rousseau 1987 Bird et al. 2022
SFU-293 wood; bois NA NA 1330±260 BP 1739–695 cal BP Wilmeth 1978; Rutherford et al. 1979; Morlan 1993; Callaghan 1986; Chisholm et al. 1983; Gibson 1981; Longin 1971; Lovell et al. 1986; Millar 1978 1981; So and Wade 1975; Wade 1981; Walker 1984a; Faunmap 3877 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Stafford 1998; Perttula 2004; Bousman et al 2015,
  
}
@misc{Harington 2003: 449; Hobson and Nelson 1984; Badertscher et al. 1987; Tisdale 1978; Faunmap 3814,
  
}
@misc{Pokotylo et al. 1987;  Richards and Rousseau 1987,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1979; Morlan 1993; Callaghan 1986; Chisholm et al. 1983; Gibson 1981; Longin 1971; Lovell et al. 1986; Millar 1978 1981; So and Wade 1975; Wade 1981; Walker 1984a; Faunmap 3877,
  
}
@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":"Stafford 1998; Perttula 2004; Bousman et al 2015","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 449; Hobson and Nelson 1984; Badertscher et al. 1987; Tisdale 1978; Faunmap 3814","bibtex_type":"misc"}{"bibtex_key":"Pokotylo et al. 1987;  Richards and Rousseau 1987","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1979; Morlan 1993; Callaghan 1986; Chisholm et al. 1983; Gibson 1981; Longin 1971; Lovell et al. 1986; Millar 1978 1981; So and Wade 1975; Wade 1981; Walker 1984a; Faunmap 3877","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: Stafford 1998; Perttula 2004; Bousman et al 2015
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 449; Hobson and Nelson 1984; Badertscher et al. 1987;
  Tisdale 1978; Faunmap 3814'
:bibtex_type: :misc
---
:bibtex_key: Pokotylo et al. 1987;  Richards and Rousseau 1987
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1979; Morlan 1993; Callaghan 1986; Chisholm
  et al. 1983; Gibson 1981; Longin 1971; Lovell et al. 1986; Millar 1978 1981; So
  and Wade 1975; Wade 1981; Walker 1984a; Faunmap 3877
: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