Site type

Location

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 (17)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-130055 Charcoal NA NA 1440±60 BP Grier 2001 Bird et al. 2022
Beta-130056 Charcoal NA NA 1590±60 BP Grier 2001 Bird et al. 2022
Beta-130057 Charcoal NA NA 1520±60 BP Grier 2001 Bird et al. 2022
Beta-130058 Charcoal NA NA 1770±110 BP Grier 2001 Bird et al. 2022
Beta-205115 Charcoal NA NA 2570±115 BP CAA Newsletter 19(1): 28 1999; Mitchell 1971a 1971b; Faunmap 4084 Bird et al. 2022
Beta-250606 Marine Shell NA NA 1610±60 BP Grier 2001 Bird et al. 2022
GX-25804 Charcoal NA NA 1065±45 BP Grier 2001 Bird et al. 2022
GX-25805 Charcoal NA NA 2085±45 BP Grier 2001 Bird et al. 2022
GX-25806 Charcoal NA NA 1265±65 BP Grier 2001 Bird et al. 2022
GX-25807 Charcoal NA NA 955±50 BP Grier 2001 Bird et al. 2022
GX-25808 Charcoal NA NA 1475±60 BP Grier 2001 Bird et al. 2022
GX-25809 Charcoal NA NA 260±65 BP Mulholland 1984 Bird et al. 2022
GaK-2762 marine shell; coquillage NA NA 1810±115 BP Grier 2001 Bird et al. 2022
GaK-2950 marine shell; coquillage NA NA 1770±70 BP Grier 2001 Bird et al. 2022
Gak-2763 Shell NA NA 1010±90 BP Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971; Faunmap 2204 Bird et al. 2022
Gak-2950 Shell NA NA 1610±50 BP Finlayson 1971 1977 Bird et al. 2022
WSU-5032 charcoal; charbon de bois NA NA 1570±70 BP Hutchinson 1992 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Grier 2001,
  
}
@misc{CAA Newsletter 19(1): 28 1999;  Mitchell 1971a 1971b;  Faunmap 4084,
  
}
@misc{Mulholland 1984,
  
}
@misc{Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971; Faunmap 2204,
  
}
@misc{Finlayson 1971 1977,
  
}
@misc{Hutchinson 1992,
  
}
@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":"Grier 2001","bibtex_type":"misc"}{"bibtex_key":"CAA Newsletter 19(1): 28 1999;  Mitchell 1971a 1971b;  Faunmap 4084","bibtex_type":"misc"}{"bibtex_key":"Mulholland 1984","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971; Faunmap 2204","bibtex_type":"misc"}{"bibtex_key":"Finlayson 1971 1977","bibtex_type":"misc"}{"bibtex_key":"Hutchinson 1992","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: Grier 2001
:bibtex_type: :misc
---
:bibtex_key: 'CAA Newsletter 19(1): 28 1999;  Mitchell 1971a 1971b;  Faunmap 4084'
:bibtex_type: :misc
---
:bibtex_key: Mulholland 1984
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971;
  Faunmap 2204'
:bibtex_type: :misc
---
:bibtex_key: Finlayson 1971 1977
:bibtex_type: :misc
---
:bibtex_key: Hutchinson 1992
: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