Site type

Location

1000 km
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
050.789° N, 125.986° W
Coordinates (DMS)
050° 47' 00" W, 125° 59' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (38)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-134655 charcoal; charbon de bois NA NA 1800±60 BP 1826–1549 cal BP McMillan p.c. 2002 2004; Southon and Fedje 2003 Bird et al. 2022
Beta-134656 charcoal; charbon de bois NA NA 3580±80 BP 4140–3644 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-147071 charcoal; charbon de bois NA NA 500±60 BP 647–335 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-147072 charcoal; charbon de bois NA NA 5050±60 BP 5915–5608 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-147073 charcoal; charbon de bois NA NA 1230±90 BP 1294–960 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-147074 charcoal; charbon de bois NA NA 690±170 BP 957–319 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-147075 charcoal; charbon de bois NA NA 430±60 BP 544–315 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158739 charcoal; charbon de bois NA NA 3000±70 BP 3363–2968 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158740 charcoal; charbon de bois NA NA 4470±70 BP 5308–4877 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158741 charcoal; charbon de bois NA NA 3330±70 BP 3815–3396 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158742 charcoal; charbon de bois NA NA 4430±80 BP 5290–4862 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158743 charcoal; charbon de bois NA NA 3050±70 BP 3441–3009 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158744 charcoal; charbon de bois NA NA 4080±70 BP 4821–4420 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158745 charcoal; charbon de bois NA NA 1620±60 BP 1691–1374 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158746 charcoal; charbon de bois NA NA 4160±70 BP 4848–4450 cal BP McMillan p.c. 2002 2004 Bird et al. 2022
Beta-158747 charcoal; charbon de bois NA NA 2260±50 BP 2351–2146 cal BP McMillan p.c. 2002 2004; Southon and Fedje 2003 Bird et al. 2022
Beta-67472 charcoal; charbon de bois NA NA 1490±60 BP 1517–1296 cal BP McMillan 1998 1999; McMillan and St. Claire 1993 Bird et al. 2022
CAMS-28075 charcoal; charbon de bois NA NA 2690±50 BP 2918–2736 cal BP McMillan 1999; Southon and Fedje 2003 Bird et al. 2022
CAMS-28081 marine shell; coquillage NA NA 4320±70 BP 5275–4646 cal BP McMillan 1999; Southon and Fedje 2003 Bird et al. 2022
CAMS-48303 bone collagen; collagène osseux NA NA 4350±45 BP 5041–4841 cal BP McMillan p.c. 2004 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{McMillan p.c. 2002 2004;  Southon and Fedje 2003,
  
}
@misc{McMillan p.c. 2002 2004,
  
}
@misc{McMillan 1998 1999;  McMillan and St. Claire 1993,
  
}
@misc{McMillan 1999;  Southon and Fedje 2003,
  
}
@misc{McMillan p.c. 2004,
  
}
@misc{Politis et al 2004,
  
}
@misc{Newsome S. D. D.L. Phillips B.J. Culleton T.P. Guilderson and 2004,
  
}
@misc{McMillan p.c. 2002,
  
}
@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":"McMillan p.c. 2002 2004;  Southon and Fedje 2003","bibtex_type":"misc"}{"bibtex_key":"McMillan p.c. 2002 2004","bibtex_type":"misc"}{"bibtex_key":"McMillan 1998 1999;  McMillan and St. Claire 1993","bibtex_type":"misc"}{"bibtex_key":"McMillan 1999;  Southon and Fedje 2003","bibtex_type":"misc"}{"bibtex_key":"McMillan p.c. 2004","bibtex_type":"misc"}{"bibtex_key":"Politis et al 2004","bibtex_type":"misc"}{"bibtex_key":"Newsome S. D. D.L. Phillips B.J. Culleton T.P. Guilderson and 2004","bibtex_type":"misc"}{"bibtex_key":"McMillan p.c. 2002","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: McMillan p.c. 2002 2004;  Southon and Fedje 2003
:bibtex_type: :misc
---
:bibtex_key: McMillan p.c. 2002 2004
:bibtex_type: :misc
---
:bibtex_key: McMillan 1998 1999;  McMillan and St. Claire 1993
:bibtex_type: :misc
---
:bibtex_key: McMillan 1999;  Southon and Fedje 2003
:bibtex_type: :misc
---
:bibtex_key: McMillan p.c. 2004
:bibtex_type: :misc
---
:bibtex_key: Politis et al 2004
:bibtex_type: :misc
---
:bibtex_key: Newsome S. D. D.L. Phillips B.J. Culleton T.P. Guilderson and 2004
:bibtex_type: :misc
---
:bibtex_key: McMillan p.c. 2002
: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