Site type

Location

Coordinates (degrees)
066.369° N, 118.982° W
Coordinates (DMS)
066° 22' 00" W, 118° 58' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-5335 charcoal; charbon de bois NA NA 500±95 BP 663–316 cal BP Fairbridge 1962 5 Bird et al. 2022
S-1258 charcoal; charbon de bois NA NA 6120±110 BP 7258–6740 cal BP Rutherford et al. 1979 1981; Gordon 1996 Bird et al. 2022
S-629 charcoal; charbon de bois NA NA 1695±110 BP 1825–1359 cal BP Webster 2004; McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859 Bird et al. 2022
S-665 charcoal; charbon de bois NA NA 2455±75 BP 2720–2355 cal BP Donahue 1977; Wilmeth 1978a; Richards and Rousseau 1987; Rutherford et al. 1975 1979 Bird et al. 2022
S-711 charcoal; charbon de bois NA NA 2440±120 BP 2760–2157 cal BP Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996 Bird et al. 2022
S-715 charcoal; charbon de bois NA NA 2355±80 BP 2707–2154 cal BP Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996 Bird et al. 2022
S-716 charcoal; charbon de bois NA NA 1150±85 BP 1276–920 cal BP Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996 Bird et al. 2022
S-717 charcoal; charbon de bois NA NA 845±115 BP 960–557 cal BP Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996 Bird et al. 2022
S-735 charcoal; charbon de bois NA NA 5010±225 BP 6295–5142 cal BP Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996 Bird et al. 2022
S-736 charcoal; charbon de bois NA NA 1465±195 BP 1816–956 cal BP Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996 Bird et al. 2022
S-737 charcoal; charbon de bois NA NA 2345±170 BP 2764–1943 cal BP Wilmeth 1978; Meyer 1977; Nash 1969 1972; Rutherford et al. 1973 1975 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Fairbridge 1962 5,
  
}
@misc{Rutherford et al. 1979 1981; Gordon 1996,
  
}
@misc{Webster 2004; McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859,
  
}
@misc{Donahue 1977;  Wilmeth 1978a;  Richards and Rousseau 1987;  Rutherford et al. 1975 1979,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996,
  
}
@misc{Wilmeth 1978; Meyer 1977; Nash 1969 1972; Rutherford et al. 1973 1975,
  
}
@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":"Fairbridge 1962 5","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979 1981; Gordon 1996","bibtex_type":"misc"}{"bibtex_key":"Webster 2004; McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966; MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859","bibtex_type":"misc"}{"bibtex_key":"Donahue 1977;  Wilmeth 1978a;  Richards and Rousseau 1987;  Rutherford et al. 1975 1979","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Meyer 1977; Nash 1969 1972; Rutherford et al. 1973 1975","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: Fairbridge 1962 5
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979 1981; Gordon 1996
:bibtex_type: :misc
---
:bibtex_key: Webster 2004; McCallum and Wittenberg 1962; Morlan 1993; Kehoe 1966;
  MacNeish 1958; Wettlaufer and Mayer-Oakes 1960; Faunmap 3859
:bibtex_type: :misc
---
:bibtex_key: Donahue 1977;  Wilmeth 1978a;  Richards and Rousseau 1987;  Rutherford
  et al. 1975 1979
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1975 1979; Gordon 1975 1996
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Meyer 1977; Nash 1969 1972; Rutherford et al. 1973 1975
: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