Site type

Location

Coordinates (degrees)
043.026° N, 079.929° W
Coordinates (DMS)
043° 01' 00" W, 079° 55' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-2895 NA charcoal; charbon de bois NA NA 875±60 BP 911–686 cal BP Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948 Bird et al. 2022
S-2896 NA charcoal; charbon de bois NA NA 1025±135 BP 1248–682 cal BP Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948 Bird et al. 2022
S-2897 NA charcoal; charbon de bois NA NA 920±60 BP 953–695 cal BP Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948 Bird et al. 2022
S-2898 NA charcoal; charbon de bois NA NA 910±60 BP 927–693 cal BP Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948 Bird et al. 2022
S-2899 NA charcoal; charbon de bois NA NA 885±135 BP 1065–558 cal BP McCallum and Dyck 1960; Dreimanis 1967 1968; Jackson 1978 1988a; Russell 1948; Faunmap 3631 Bird et al. 2022
S-2900 NA charcoal; charbon de bois NA NA 865±60 BP 910–681 cal BP Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948 Bird et al. 2022
S-2901 NA charcoal; charbon de bois NA NA 1020±135 BP 1246–680 cal BP Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948 Bird et al. 2022
S-2902 NA charcoal; charbon de bois NA NA 950±60 BP 956–733 cal BP Hobson and Nelson 1983; Nicholson 1985b 1994a 1994b; Faunmap 3800 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948,
  
}
@misc{McCallum and Dyck 1960; Dreimanis 1967 1968; Jackson 1978 1988a; Russell 1948; Faunmap 3631,
  
}
@misc{Hobson and Nelson 1983; Nicholson 1985b 1994a 1994b; Faunmap 3800,
  
}
@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":"Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948","bibtex_type":"misc"}{"bibtex_key":"McCallum and Dyck 1960; Dreimanis 1967 1968; Jackson 1978 1988a; Russell 1948; Faunmap 3631","bibtex_type":"misc"}{"bibtex_key":"Hobson and Nelson 1983; Nicholson 1985b 1994a 1994b; Faunmap 3800","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: Dodd et al. 1990; Ferris 1988; Wright 1966b; Wintemberg 1948
:bibtex_type: :misc
---
:bibtex_key: McCallum and Dyck 1960; Dreimanis 1967 1968; Jackson 1978 1988a; Russell
  1948; Faunmap 3631
:bibtex_type: :misc
---
:bibtex_key: Hobson and Nelson 1983; Nicholson 1985b 1994a 1994b; Faunmap 3800
: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