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 (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
AECV-1316 C freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 5100±100 BP 6170–5598 cal BP Stryd and Rousseau 1996; Wilson 1991 Bird et al. 2022
AECV-1316C freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 5480±100 BP 6484–5999 cal BP Stryd and Rousseau 1996; Wilson 1991; Faunmap 4105 Bird et al. 2022
AECV-1317C freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 5100±100 BP 6170–5598 cal BP Stryd and Rousseau 1996; Wilson 1991 Bird et al. 2022
AECV-1318 C freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 6290±100 BP 7423–6960 cal BP Stryd and Rousseau 1996; Wilson 1991 Bird et al. 2022
AECV-1319 C freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 2370±60 BP 2703–2183 cal BP Wilson et al. 1995; Faunmap 4107 Bird et al. 2022
Beta-80766 bone collagen; collagène osseux NA NA 2050±60 BP 2288–1832 cal BP Wilson et al. 1995 Bird et al. 2022
Beta-80767 bone collagen; collagène osseux NA NA 2580±70 BP 2847–2375 cal BP Stryd and Rousseau 1996; Wilson 1991 p.c. 1999; Wilson et al. 1992 1995 Bird et al. 2022
SFU-33 charcoal; charbon de bois NA NA 1760±130 BP 1981–1380 cal BP Nelson and Hobson 1982; Richards and Rousseau 1987; Stryd 1981a 1981b (1980-011); Mohs 1978-008 Bird et al. 2022
SFU-37 charcoal; charbon de bois NA NA 1030±180 BP 1287–670 cal BP Driver 1988 1996 1998; Driver and Hobson 1992; Driver et al. 1996; Fladmark 1996; Fladmark et al. 1988; Faunmap 1236; Harington 2003: 427 Bird et al. 2022
SFU-38 charcoal; charbon de bois NA NA 5920±130 BP 7156–6409 cal BP Pokotylo and Froese 1983; Richards and Rousseau 1987 Bird et al. 2022
SFU-57 deer bone collagen; collagène osseux de cerf NA NA 5480±100 BP 6484–5999 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Stryd and Rousseau 1996;  Wilson 1991,
  
}
@misc{Stryd and Rousseau 1996; Wilson 1991; Faunmap 4105,
  
}
@misc{Stryd and Rousseau 1996; Wilson 1991,
  
}
@misc{Wilson et al. 1995;  Faunmap 4107,
  
}
@misc{Wilson et al. 1995,
  
}
@misc{Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992 1995,
  
}
@misc{Nelson and Hobson 1982;  Richards and Rousseau 1987;  Stryd 1981a 1981b (1980-011);  Mohs 1978-008,
  
}
@misc{Driver 1988 1996 1998;  Driver and Hobson 1992;  Driver et al. 1996;  Fladmark 1996;  Fladmark et al. 1988;  Faunmap 1236;  Harington 2003: 427,
  
}
@misc{Pokotylo and Froese 1983;  Richards and Rousseau 1987,
  
}
@misc{Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990,
  
}
@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":"Stryd and Rousseau 1996;  Wilson 1991","bibtex_type":"misc"}{"bibtex_key":"Stryd and Rousseau 1996; Wilson 1991; Faunmap 4105","bibtex_type":"misc"}{"bibtex_key":"Stryd and Rousseau 1996; Wilson 1991","bibtex_type":"misc"}{"bibtex_key":"Wilson et al. 1995;  Faunmap 4107","bibtex_type":"misc"}{"bibtex_key":"Wilson et al. 1995","bibtex_type":"misc"}{"bibtex_key":"Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992 1995","bibtex_type":"misc"}{"bibtex_key":"Nelson and Hobson 1982;  Richards and Rousseau 1987;  Stryd 1981a 1981b (1980-011);  Mohs 1978-008","bibtex_type":"misc"}{"bibtex_key":"Driver 1988 1996 1998;  Driver and Hobson 1992;  Driver et al. 1996;  Fladmark 1996;  Fladmark et al. 1988;  Faunmap 1236;  Harington 2003: 427","bibtex_type":"misc"}{"bibtex_key":"Pokotylo and Froese 1983;  Richards and Rousseau 1987","bibtex_type":"misc"}{"bibtex_key":"Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990","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: Stryd and Rousseau 1996;  Wilson 1991
:bibtex_type: :misc
---
:bibtex_key: Stryd and Rousseau 1996; Wilson 1991; Faunmap 4105
:bibtex_type: :misc
---
:bibtex_key: Stryd and Rousseau 1996; Wilson 1991
:bibtex_type: :misc
---
:bibtex_key: Wilson et al. 1995;  Faunmap 4107
:bibtex_type: :misc
---
:bibtex_key: Wilson et al. 1995
:bibtex_type: :misc
---
:bibtex_key: Stryd and Rousseau 1996;  Wilson 1991 p.c. 1999;  Wilson et al. 1992
  1995
:bibtex_type: :misc
---
:bibtex_key: Nelson and Hobson 1982;  Richards and Rousseau 1987;  Stryd 1981a 1981b
  (1980-011);  Mohs 1978-008
:bibtex_type: :misc
---
:bibtex_key: 'Driver 1988 1996 1998;  Driver and Hobson 1992;  Driver et al. 1996;  Fladmark
  1996;  Fladmark et al. 1988;  Faunmap 1236;  Harington 2003: 427'
:bibtex_type: :misc
---
:bibtex_key: Pokotylo and Froese 1983;  Richards and Rousseau 1987
:bibtex_type: :misc
---
:bibtex_key: Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990
: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