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 (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-4221 NA caribou bone collagen; collagène osseux de caribou NA NA 6530±135 BP 7662–7166 cal BP Harington 1977 2003: 402; Faunmap 3781 Bird et al. 2022
RIDDL-126 NA mammoth bone collagen; collagène osseux de mammouth NA NA 34400±850 BP 41077–37155 cal BP Harington 2003: 395; Morlan 1980; Morlan et al. 1990; Faunmap 3771 Bird et al. 2022
RIDDL-186 NA mammoth bone collagen; collagène osseux de mammouth NA NA 31300±1400 BP 39329–32385 cal BP Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780 Bird et al. 2022
RIDDL-188 NA mammoth bone collagen; collagène osseux de mammouth NA NA 31900±650 BP 38010–34719 cal BP Bonnichsen 1979; Morlan et al. 1990; Faunmap 3770; Harington 1977 2003: 395 Bird et al. 2022
RIDDL-189 NA mammoth bone collagen; collagène osseux de mammouth NA NA 35400±900 BP 42031–38450 cal BP Harington 2003: 396; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3538 Bird et al. 2022
RIDDL-304 NA mammoth bone collagen; collagène osseux de mammouth NA NA 33400±650 BP 39639–36515 cal BP Bonnichsen 1979; Morlan et al. 1990; Harington 1977 2003: 396; Faunmap 3539 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Harington 1977 2003: 402; Faunmap 3781,
  
}
@misc{Bonnichsen 1979; Morlan et al. 1990; Faunmap 3770; Harington 1977 2003: 395,
  
}
@misc{Harington 2003: 395; Morlan 1980; Morlan et al. 1990; Faunmap 3771,
  
}
@misc{Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780,
  
}
@misc{Harington 2003: 396; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3538,
  
}
@misc{Bonnichsen 1979; Morlan et al. 1990; Harington 1977 2003: 396; Faunmap 3539,
  
}
@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 1977 2003: 402; Faunmap 3781","bibtex_type":"misc"}{"bibtex_key":"Bonnichsen 1979; Morlan et al. 1990; Faunmap 3770; Harington 1977 2003: 395","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 395; Morlan 1980; Morlan et al. 1990; Faunmap 3771","bibtex_type":"misc"}{"bibtex_key":"Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 396; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3538","bibtex_type":"misc"}{"bibtex_key":"Bonnichsen 1979; Morlan et al. 1990; Harington 1977 2003: 396; Faunmap 3539","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 1977 2003: 402; Faunmap 3781'
:bibtex_type: :misc
---
:bibtex_key: 'Bonnichsen 1979; Morlan et al. 1990; Faunmap 3770; Harington 1977 2003:
  395'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 395; Morlan 1980; Morlan et al. 1990; Faunmap 3771'
:bibtex_type: :misc
---
:bibtex_key: 'Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 396; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3538'
:bibtex_type: :misc
---
:bibtex_key: 'Bonnichsen 1979; Morlan et al. 1990; Harington 1977 2003: 396; Faunmap
  3539'
: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