Site type

Location

Coordinates (degrees)
071.037° N, 088.910° W
Coordinates (DMS)
071° 02' 00" W, 088° 54' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CAMS-33464 NA narwhal bone collagen; collagène osseux de narval NA NA 7270±50 BP 8179–7979 cal BP Harington 2003: 352; A.S. Dyke p.c. 1998 Bird et al. 2022
S-3135 NA whale bone collagen; collagène osseux de baleine NA NA 8430±120 BP 9658–9029 cal BP A.S. Dyke p.c. 1998; Harington 2003: 361 Bird et al. 2022
S-3136 NA whale bone collagen; collagène osseux de baleine NA NA 8040±110 BP 9270–8597 cal BP A.S. Dyke p.c. 1998; Harington 2003: 360 Bird et al. 2022
S-3137 NA whale bone collagen; collagène osseux de baleine NA NA 8490±120 BP 9765–9128 cal BP McNeely and Jorgensen 1993; Harington 2003: 358 Bird et al. 2022
S-3138 NA whale bone collagen; collagène osseux de baleine NA NA 8980±130 BP 10488–9675 cal BP A.S. Dyke p.c. 1998; Harington 2003: 361 Bird et al. 2022
S-3139 NA whale bone collagen; collagène osseux de baleine NA NA 7230±100 BP 8316–7843 cal BP Harington 2003: 378; A.S. Dyke p.c. 1998 Bird et al. 2022
TO-5009 NA walrus bone collagen; collagène osseux de morse NA NA 1630±50 BP 1689–1395 cal BP A.S. Dyke p.c. 1998; Harington 2003: 353 Bird et al. 2022
TO-5960 NA walrus bone collagen; collagène osseux de morse NA NA 8840±80 BP 10187–9608 cal BP Harington 2003: 387; Dyke et al. 1999; Dyke 1998 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Harington 2003: 352; A.S. Dyke p.c. 1998,
  
}
@misc{Harington 2003: 378; A.S. Dyke p.c. 1998,
  
}
@misc{A.S. Dyke p.c. 1998; Harington 2003: 361,
  
}
@misc{A.S. Dyke p.c. 1998; Harington 2003: 353,
  
}
@misc{A.S. Dyke p.c. 1998; Harington 2003: 360,
  
}
@misc{McNeely and Jorgensen 1993; Harington 2003: 358,
  
}
@misc{Harington 2003: 387; Dyke et al. 1999; Dyke 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":"Harington 2003: 352; A.S. Dyke p.c. 1998","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 378; A.S. Dyke p.c. 1998","bibtex_type":"misc"}{"bibtex_key":"A.S. Dyke p.c. 1998; Harington 2003: 361","bibtex_type":"misc"}{"bibtex_key":"A.S. Dyke p.c. 1998; Harington 2003: 353","bibtex_type":"misc"}{"bibtex_key":"A.S. Dyke p.c. 1998; Harington 2003: 360","bibtex_type":"misc"}{"bibtex_key":"McNeely and Jorgensen 1993; Harington 2003: 358","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 387; Dyke et al. 1999; Dyke 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: 'Harington 2003: 352; A.S. Dyke p.c. 1998'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 378; A.S. Dyke p.c. 1998'
:bibtex_type: :misc
---
:bibtex_key: 'A.S. Dyke p.c. 1998; Harington 2003: 361'
:bibtex_type: :misc
---
:bibtex_key: 'A.S. Dyke p.c. 1998; Harington 2003: 353'
:bibtex_type: :misc
---
:bibtex_key: 'A.S. Dyke p.c. 1998; Harington 2003: 360'
:bibtex_type: :misc
---
:bibtex_key: 'McNeely and Jorgensen 1993; Harington 2003: 358'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 387; Dyke et al. 1999; Dyke 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