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)
071.037° N, 088.910° W
Coordinates (DMS)
071° 02' 00" W, 088° 54' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GaK-2749 wood; bois NA NA 810±70 BP 909–574 cal BP Kigoshi et al. 1973; Mitchell 1968; Wilmeth 1978a Bird et al. 2022
GaK-2759 wood; bois NA NA 690±90 BP 775–525 cal BP Burley 1980; Mitchell 1979; Faunmap 4066 Bird et al. 2022
SI-744 wood; bois NA NA 420±65 BP 541–314 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-746 wood; bois NA NA 840±100 BP 955–566 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-748 wood; bois NA NA 235±50 BP 446–70 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-749 wood; bois NA NA 760±75 BP 900–554 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-752A wood; bois NA NA 255±45 BP 455–144 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-753 wood; bois NA NA 765±45 BP 771–573 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-754 wood; bois NA NA 750±85 BP 903–545 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-755B peat; tourbe NA NA 1150±50 BP 1179–956 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-757 wood; bois NA NA 565±65 BP 659–505 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979; Harington 2003: 377 Bird et al. 2022
SI-759A animal remains; restes d'animaux NA NA 1545±135 BP 1718–1177 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-760A animal remains; restes d'animaux NA NA 505±50 BP 635–476 cal BP Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979 Bird et al. 2022
SI-762A charred animal remains; restes d'animaux carbonisés NA NA 1025±70 BP 1171–745 cal BP Wilmeth 1978; Morrison 1989; Harington 2003: 415; McCartney 1970 1977 p.c. 1998; Staab 1979; Faunmap 4169 Bird et al. 2022
SI-768B caribou bone collagen; collagène osseux de caribou NA NA 825±45 BP 897–671 cal BP Oregon database Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Kigoshi et al. 1973;  Mitchell 1968;  Wilmeth 1978a,
  
}
@misc{Burley 1980;  Mitchell 1979;  Faunmap 4066,
  
}
@misc{Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979,
  
}
@misc{Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979; Harington 2003: 377,
  
}
@misc{Wilmeth 1978; Morrison 1989; Harington 2003: 415; McCartney 1970 1977 p.c. 1998; Staab 1979; Faunmap 4169,
  
}
@misc{Oregon database,
  
}
@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":"Kigoshi et al. 1973;  Mitchell 1968;  Wilmeth 1978a","bibtex_type":"misc"}{"bibtex_key":"Burley 1980;  Mitchell 1979;  Faunmap 4066","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977 p.c. 1998; Staab 1979; Harington 2003: 377","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Morrison 1989; Harington 2003: 415; McCartney 1970 1977 p.c. 1998; Staab 1979; Faunmap 4169","bibtex_type":"misc"}{"bibtex_key":"Oregon database","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: Kigoshi et al. 1973;  Mitchell 1968;  Wilmeth 1978a
:bibtex_type: :misc
---
:bibtex_key: Burley 1980;  Mitchell 1979;  Faunmap 4066
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977
  p.c. 1998; Staab 1979
:bibtex_type: :misc
---
:bibtex_key: 'Wilmeth 1978; Kigoshi et al. 1973; Morrison 1989; McCartney 1970 1977
  p.c. 1998; Staab 1979; Harington 2003: 377'
:bibtex_type: :misc
---
:bibtex_key: 'Wilmeth 1978; Morrison 1989; Harington 2003: 415; McCartney 1970 1977
  p.c. 1998; Staab 1979; Faunmap 4169'
:bibtex_type: :misc
---
:bibtex_key: Oregon database
: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