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 (28)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GaK-2197 charcoal; charbon de bois NA NA 2160±100 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2198 charcoal; charbon de bois NA NA 1880±110 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2199 charcoal; charbon de bois NA NA 1860±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2200 charcoal; charbon de bois NA NA 2040±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2201 charcoal; charbon de bois NA NA 1330±80 BP CARD Bird et al. 2022
GaK-2852 charcoal; charbon de bois NA NA 1920±100 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2854 charcoal; charbon de bois NA NA 980±150 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2855 charcoal; charbon de bois NA NA 3590±190 BP Lourandos and Williams various cit. Attenbrow 2004; Gill 1973 cit. Bird & Frankel 1991; Lournados 1983 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Taschek and Ball 1999,
  
}
@misc{Dewhirst 1980;  Wilmeth 1978a;  Hutchinson 1992;  Lowdon et al. 1974;  McMillan 1999;  Mitchell 1990,
  
}
@misc{CARD,
  
}
@misc{Lourandos and Williams various cit. Attenbrow 2004; Gill 1973 cit. Bird & Frankel 1991; Lournados 1983,
  
}
@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":"Taschek and Ball 1999","bibtex_type":"misc"}{"bibtex_key":"Dewhirst 1980;  Wilmeth 1978a;  Hutchinson 1992;  Lowdon et al. 1974;  McMillan 1999;  Mitchell 1990","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"Lourandos and Williams various cit. Attenbrow 2004; Gill 1973 cit. Bird & Frankel 1991; Lournados 1983","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: Taschek and Ball 1999
:bibtex_type: :misc
---
:bibtex_key: Dewhirst 1980;  Wilmeth 1978a;  Hutchinson 1992;  Lowdon et al. 1974;  McMillan
  1999;  Mitchell 1990
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: Lourandos and Williams various cit. Attenbrow 2004; Gill 1973 cit. Bird
  & Frankel 1991; Lournados 1983
: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