Site type

Location

Coordinates (degrees)
046.390° N, 063.245° W
Coordinates (DMS)
046° 23' 00" W, 063° 14' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-176433 charcoal; charbon de bois NA NA 1180±40 BP 1242–973 cal BP CARD Bird et al. 2022
S-2843 charcoal; charbon de bois NA NA 1280±100 BP 1347–973 cal BP Keenlyside 1991 p.c. 2000 Bird et al. 2022
S-482 mammoth bone collagen; collagène osseux de mammouth NA NA 12080±320 BP 15115–13341 cal BP Rutherford et al. 1984; Harington 2003: 395; Christiansen 1968; Lammers 1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894 Bird et al. 2022
S-498 mammoth bone collagen; collagène osseux de mammouth NA NA 14730±360 BP 18740–17068 cal BP Rutherford et al. 1984; Harington 2003: 397; Christiansen 1968; Lammers 1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894 Bird et al. 2022
S-499 mammoth bone collagen; collagène osseux de mammouth NA NA 20280±500 BP 25626–23280 cal BP McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859 Bird et al. 2022
S-685 bone collagen; collagène osseux NA NA 14120±465 BP 18264–15845 cal BP Rutherford et al. 1981; Syms 1977 1979a p.c. 1998 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{CARD,
  
}
@misc{Keenlyside 1991 p.c. 2000,
  
}
@misc{Rutherford et al. 1984; Harington 2003: 395; Christiansen 1968; Lammers 1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894,
  
}
@misc{Rutherford et al. 1984; Harington 2003: 397; Christiansen 1968; Lammers 1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894,
  
}
@misc{McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859,
  
}
@misc{Rutherford et al. 1981; Syms 1977 1979a p.c. 1998,
  
}
@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":"Keenlyside 1991 p.c. 2000","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Harington 2003: 395; Christiansen 1968; Lammers 1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Harington 2003: 397; Christiansen 1968; Lammers 1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894","bibtex_type":"misc"}{"bibtex_key":"McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981; Syms 1977 1979a p.c. 1998","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: Keenlyside 1991 p.c. 2000
:bibtex_type: :misc
---
:bibtex_key: 'Rutherford et al. 1984; Harington 2003: 395; Christiansen 1968; Lammers
  1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894'
:bibtex_type: :misc
---
:bibtex_key: 'Rutherford et al. 1984; Harington 2003: 397; Christiansen 1968; Lammers
  1968; Pohorecky 1988; Pohorecky and Wilson 1968; Faunmap 3894'
:bibtex_type: :misc
---
:bibtex_key: McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958;
  Wettlaufer and Mayer-Oakes 1960; Faunmap 3859
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981; Syms 1977 1979a p.c. 1998
: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