North Saskatchewan River

Location

Coordinates (degrees): 053.329° N, 114.075° W
Coordinates (DMS): 053° 19' 00" W, 114° 04' 00" N
Country (ISO 3166 ): Canada (CA)

Lab ID	Material	Taxon	Method	Uncalibrated age	References
AECV-612C	mammoth bone collagen; collagène osseux de mammouth	NA	NA	28890±960 BP	Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490 Bird et al. 2022
AECV-720C	horse bone collagen; collagène osseux de cheval	NA	NA	29380±4970 BP	Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403 Bird et al. 2022
AECV-721C	mammoth bone collagen; collagène osseux de mammouth	NA	NA	27860±880 BP	Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490 Bird et al. 2022
Beta-115201	muskox bone collagen; collagène osseux de boeuf musqué	NA	NA	43180±490 BP	Harington 2003: 464; Faunmap 4046 Bird et al. 2022
I-4553	horse bone collagen; collagène osseux de cheval	NA	NA	10700±150 BP	Buckley and Willis 1972: 125 Bird et al. 2022
I-8483	bone collagen; collagène osseux	NA	NA	9860±140 BP	Barse 2000 Bird et al. 2022
S-1799	bison bone collagen; collagène osseux de bison	NA	NA	2860±85 BP	McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp 1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988 Bird et al. 2022
S-1923	mammal bone collagen; collagène osseux de mammiféres	NA	NA	10820±470 BP	Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-2385	mammal bone collagen; collagène osseux de mammiféres	NA	NA	11425±420 BP	Rains and Welch 1988 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490]
No bibliographic information available. [Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403]
No bibliographic information available. [Harington 2003: 464; Faunmap 4046]
No bibliographic information available. [Buckley and Willis 1972: 125]
No bibliographic information available. [Barse 2000]
No bibliographic information available. [McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp 1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988]
No bibliographic information available. [Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989]
No bibliographic information available. [Rains and Welch 1988]
Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]

@misc{Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490,
  
}
@misc{Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403,
  
}
@misc{Harington 2003: 464; Faunmap 4046,
  
}
@misc{Buckley and Willis 1972: 125,
  
}
@misc{Barse 2000,
  
}
@misc{McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp 1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988,
  
}
@misc{Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989,
  
}
@misc{Rains and Welch 1988,
  
}
@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":"Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490","bibtex_type":"misc"}{"bibtex_key":"Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 464; Faunmap 4046","bibtex_type":"misc"}{"bibtex_key":"Buckley and Willis 1972: 125","bibtex_type":"misc"}{"bibtex_key":"Barse 2000","bibtex_type":"misc"}{"bibtex_key":"McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp 1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988","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: 'Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490'
:bibtex_type: :misc
---
:bibtex_key: 'Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 464; Faunmap 4046'
:bibtex_type: :misc
---
:bibtex_key: 'Buckley and Willis 1972: 125'
:bibtex_type: :misc
---
:bibtex_key: Barse 2000
:bibtex_type: :misc
---
:bibtex_key: 'McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp
  1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier
  1989
:bibtex_type: :misc
---
:bibtex_key: Rains and Welch 1988
: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

Imported from source database via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC

Location

Radiocarbon dates (9)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR