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
Beta-94422 marine shell; coquillage NA NA 2050±90 BP Taschek and Ball 1999 Bird et al. 2022
GaK-2178 charcoal; charbon de bois NA NA 4080±80 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2179 charcoal; charbon de bois NA NA 3000±100 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2180 charcoal; charbon de bois NA NA 1540±110 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2181 charcoal; charbon de bois NA NA 1850±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2182 charcoal; charbon de bois NA NA 4230±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2183 charcoal; charbon de bois NA NA 1120±80 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2184 charcoal; charbon de bois NA NA 1280±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2185 charcoal; charbon de bois NA NA 2120±110 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2186 charcoal; charbon de bois NA NA 3320±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2187 charcoal; charbon de bois NA NA 3100±120 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2188 charcoal; charbon de bois NA NA 1300±80 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2189 charcoal; charbon de bois NA NA 1050±100 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2190 charcoal; charbon de bois NA NA 3020±220 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2191 charcoal; charbon de bois NA NA 1150±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2192 charcoal; charbon de bois NA NA 2000±80 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2193 charcoal; charbon de bois NA NA 1050±80 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2194 charcoal; charbon de bois NA NA 1770±90 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2195 charcoal; charbon de bois NA NA 2630±110 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 Bird et al. 2022
GaK-2196 charcoal; charbon de bois NA NA 1250±80 BP Dewhirst 1980; Wilmeth 1978a; Hutchinson 1992; Lowdon et al. 1974; McMillan 1999; Mitchell 1990 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