Site type

Location

Coordinates (degrees)
063.628° N, 135.508° W
Coordinates (DMS)
063° 37' 00" W, 135° 30' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (3)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CRNL-1235 mammoth bone collagen; collagène osseux de mammouth NA NA 30570±550 BP Harington 2003: 402; Youngman 1993; Burke and Cinq-Mars 1996; Morlan and Cinq-Mars 1982; Cinq-Mars 1979 1990 p.c. 1998 1999; Harington and Cinq-Mars 1995; Faunmap 3750 Bird et al. 2022
RIDDL-122 mammoth? bone collagen; collagène osseux de mammouth NA NA 31120±450 BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
RIDDL-231 mammoth? bone collagen; collagène osseux de mammouth NA NA 30680±600 BP Wilmeth 1978; Bonnichsen 1979; Nelson et al. 1986; Morlan et al. 1990; Morlan 1980 1986; Irving and Harington 1973; Faunmap 3534; Harington 1977 2003: 401 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Harington 2003: 402; Youngman 1993; Burke and Cinq-Mars 1996; Morlan and Cinq-Mars 1982; Cinq-Mars 1979 1990 p.c. 1998 1999; Harington and Cinq-Mars 1995; Faunmap 3750,
  
}
@misc{Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990,
  
}
@misc{Wilmeth 1978; Bonnichsen 1979; Nelson et al. 1986; Morlan et al. 1990; Morlan 1980 1986; Irving and Harington 1973; Faunmap 3534; Harington 1977 2003: 401,
  
}
@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":"Harington 2003: 402; Youngman 1993; Burke and Cinq-Mars 1996; Morlan and Cinq-Mars 1982; Cinq-Mars 1979 1990 p.c. 1998 1999; Harington and Cinq-Mars 1995; Faunmap 3750","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Bonnichsen 1979; Nelson et al. 1986; Morlan et al. 1990; Morlan 1980 1986; Irving and Harington 1973; Faunmap 3534; Harington 1977 2003: 401","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: 'Harington 2003: 402; Youngman 1993; Burke and Cinq-Mars 1996; Morlan
  and Cinq-Mars 1982; Cinq-Mars 1979 1990 p.c. 1998 1999; Harington and Cinq-Mars
  1995; Faunmap 3750'
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990
:bibtex_type: :misc
---
:bibtex_key: 'Wilmeth 1978; Bonnichsen 1979; Nelson et al. 1986; Morlan et al. 1990;
  Morlan 1980 1986; Irving and Harington 1973; Faunmap 3534; Harington 1977 2003:
  401'
: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