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 (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CRNL-1234 mammoth bone collagen; collagène osseux de mammouth NA NA 26050±560 BP 31140–29204 cal BP Harington 2003: 396; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3759 Bird et al. 2022
I-3573 bone collagen; collagène osseux de mammouth NA NA 22680±600 BP 27970–25771 cal BP Morlan 1980; Gurfinkel 1987; Faunmap 3762; Harington 1977 2003: 421 Bird et al. 2022
I-4227 bison bone collagen; collagène osseux de bison NA NA 33880±2000 BP 41967–34870 cal BP Harington 1977 1978 2003: 399; Lowdon et al. 1977; Faunmap 3543 Bird et al. 2022
RIDDL-134 mammoth? bone collagen; collagène osseux de mammouth NA NA 39700±1000 BP 44475–42226 cal BP Harington 2003: 395; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3784 Bird et al. 2022
RIDDL-145 caribou bone collagen; collagène osseux de caribou NA NA 1350±150 BP 1535–935 cal 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: 400 Bird et al. 2022
RIDDL-185 mammoth? bone collagen; collagène osseux de mammouth NA NA 34600±900 BP 41290–37225 cal BP Harington 2003: 396; Morlan 1980; Morlan et al. 1990; Faunmap 3773 Bird et al. 2022
RIDDL-232 mammoth? bone collagen; collagène osseux de mammouth NA NA 27000±400 BP 31745–30326 cal BP Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780 Bird et al. 2022
RIDDL-302 mammoth? bone collagen; collagène osseux de mammouth NA NA 32600±600 BP 39075–35910 cal BP Harington 2003: 401; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3780 Bird et al. 2022
RIDDL-726 mammoth? bone collagen; collagène osseux de mammouth NA NA 34200±500 BP 40409–37650 cal BP Harington 2003: 401; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3780 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Harington 2003: 396; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3759,
  
}
@misc{Morlan 1980; Gurfinkel 1987; Faunmap 3762; Harington 1977 2003: 421,
  
}
@misc{Harington 1977 1978 2003: 399; Lowdon et al. 1977; Faunmap 3543,
  
}
@misc{Harington 2003: 395; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3784,
  
}
@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: 400,
  
}
@misc{Harington 2003: 396; Morlan 1980; Morlan et al. 1990; Faunmap 3773,
  
}
@misc{Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780,
  
}
@misc{Harington 2003: 401; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3780,
  
}
@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: 396; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3759","bibtex_type":"misc"}{"bibtex_key":"Morlan 1980; Gurfinkel 1987; Faunmap 3762; Harington 1977 2003: 421","bibtex_type":"misc"}{"bibtex_key":"Harington 1977 1978 2003: 399; Lowdon et al. 1977; Faunmap 3543","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 395; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3784","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: 400","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 396; Morlan 1980; Morlan et al. 1990; Faunmap 3773","bibtex_type":"misc"}{"bibtex_key":"Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 401; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3780","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: 396; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3759'
:bibtex_type: :misc
---
:bibtex_key: 'Morlan 1980; Gurfinkel 1987; Faunmap 3762; Harington 1977 2003: 421'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 1977 1978 2003: 399; Lowdon et al. 1977; Faunmap 3543'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 395; Bonnichsen 1979; Morlan et al. 1990; Faunmap 3784'
: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:
  400'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 396; Morlan 1980; Morlan et al. 1990; Faunmap 3773'
:bibtex_type: :misc
---
:bibtex_key: 'Morlan et al. 1990; Morlan 1980 1986; Harington 2003: 400; Faunmap 3780'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 401; Morlan et al. 1990; Morlan 1980 1986; Faunmap 3780'
: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