Site type

Location

Coordinates (degrees)
049.830° N, 100.348° W
Coordinates (DMS)
049° 49' 00" W, 100° 20' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (4)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-2827 NA bison bone collagen; collagène osseux de bison NA NA 2145±105 BP 2349–1842 cal BP Dyke and Morris 1990; Harington 2003: 359 Bird et al. 2022
S-2903 NA bone collagen; collagène osseux NA NA 4135±155 BP 5213–4154 cal BP Morlan 1993; Meyer and Russell 1987; Finnigan et al. 1983; Meyer p.c. 1998 Bird et al. 2022
SFU-72 NA bone collagen; collagène osseux NA NA 1700±100 BP 1821–1382 cal BP Hayden 1995 1997; Hayden and Spafford 1993; Lepofsky et al. 1996; Prentiss et al. 2003; Faunmap 4124 Bird et al. 2022
SFU-75 NA bone collagen; collagène osseux NA NA 310±100 BP 526–70 cal BP Galdikas-Brindamour 1972; Richards and Rousseau 1987; Wilson 1980; Lawhead and Stryd 1985; Faunmap 4119 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Galdikas-Brindamour 1972;  Richards and Rousseau 1987;  Wilson 1980;  Lawhead and Stryd 1985;  Faunmap 4119,
  
}
@misc{Dyke and Morris 1990; Harington 2003: 359,
  
}
@misc{Morlan 1993; Meyer and Russell 1987; Finnigan et al. 1983; Meyer p.c. 1998,
  
}
@misc{Hayden 1995 1997;  Hayden and Spafford 1993;  Lepofsky et al. 1996;  Prentiss et al. 2003;  Faunmap 4124,
  
}
@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":"Galdikas-Brindamour 1972;  Richards and Rousseau 1987;  Wilson 1980;  Lawhead and Stryd 1985;  Faunmap 4119","bibtex_type":"misc"}{"bibtex_key":"Dyke and Morris 1990; Harington 2003: 359","bibtex_type":"misc"}{"bibtex_key":"Morlan 1993; Meyer and Russell 1987; Finnigan et al. 1983; Meyer p.c. 1998","bibtex_type":"misc"}{"bibtex_key":"Hayden 1995 1997;  Hayden and Spafford 1993;  Lepofsky et al. 1996;  Prentiss et al. 2003;  Faunmap 4124","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: Galdikas-Brindamour 1972;  Richards and Rousseau 1987;  Wilson 1980;  Lawhead
  and Stryd 1985;  Faunmap 4119
:bibtex_type: :misc
---
:bibtex_key: 'Dyke and Morris 1990; Harington 2003: 359'
:bibtex_type: :misc
---
:bibtex_key: Morlan 1993; Meyer and Russell 1987; Finnigan et al. 1983; Meyer p.c.
  1998
:bibtex_type: :misc
---
:bibtex_key: Hayden 1995 1997;  Hayden and Spafford 1993;  Lepofsky et al. 1996;  Prentiss
  et al. 2003;  Faunmap 4124
: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