Site type

Location

Coordinates (degrees)
051.926° N, 107.710° W
Coordinates (DMS)
051° 55' 00" W, 107° 42' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
NZA-15776 bison bone collagen; collagène osseux de bison NA NA 4221±45 BP CARD Bird et al. 2022
S-3444 bison bone collagen; collagène osseux de bison NA NA 4515±150 BP Stevenson 1992 Bird et al. 2022
S-3452 bison bone collagen; collagène osseux de bison NA NA 4335±90 BP Harington 2003: 436; Gibson 1981; Leyden 2004; Dyck 1970 1972b 1977; Morlan 1993 1994; Rutherford 1973 1975; Faunmap 119 Bird et al. 2022
S-3453 bison bone collagen; collagène osseux de bison NA NA 3570±140 BP D'Annibale and Ross 1994 Bird et al. 2022
S-490 bone collagen; collagène osseux NA NA 3440±120 BP Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix 1969; Ramsay 1991; Faunmap 3615 Bird et al. 2022
S-668 bison bone collagen; collagène osseux de bison NA NA 3505±105 BP Rutherford et al. 1975 1981; Morlan 1993; Leyden 2004; Dyck 1972b; Linnamae 1988; Prentice 1983; Walker 1979; Faunmap 3895 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{CARD,
  
}
@misc{Stevenson 1992,
  
}
@misc{Harington 2003: 436; Gibson 1981; Leyden 2004; Dyck 1970 1972b 1977; Morlan 1993 1994; Rutherford 1973 1975; Faunmap 119,
  
}
@misc{D'Annibale and Ross 1994,
  
}
@misc{Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix 1969; Ramsay 1991; Faunmap 3615,
  
}
@misc{Rutherford et al. 1975 1981; Morlan 1993; Leyden 2004; Dyck 1972b; Linnamae 1988; Prentice 1983; Walker 1979; Faunmap 3895,
  
}
@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":"CARD","bibtex_type":"misc"}{"bibtex_key":"Stevenson 1992","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 436; Gibson 1981; Leyden 2004; Dyck 1970 1972b 1977; Morlan 1993 1994; Rutherford 1973 1975; Faunmap 119","bibtex_type":"misc"}{"bibtex_key":"D'Annibale and Ross 1994","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix 1969; Ramsay 1991; Faunmap 3615","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1975 1981; Morlan 1993; Leyden 2004; Dyck 1972b; Linnamae 1988; Prentice 1983; Walker 1979; Faunmap 3895","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: CARD
:bibtex_type: :misc
---
:bibtex_key: Stevenson 1992
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 436; Gibson 1981; Leyden 2004; Dyck 1970 1972b 1977;
  Morlan 1993 1994; Rutherford 1973 1975; Faunmap 119'
:bibtex_type: :misc
---
:bibtex_key: D'Annibale and Ross 1994
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix
  1969; Ramsay 1991; Faunmap 3615'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1975 1981; Morlan 1993; Leyden 2004; Dyck 1972b; Linnamae
  1988; Prentice 1983; Walker 1979; Faunmap 3895
: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