Site type

Location

Coordinates (degrees)
044.093° N, 081.118° W
Coordinates (DMS)
044° 05' 00" W, 081° 07' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-1719 cultigen; cultigéne NA NA 335±70 BP McCallum and Wittenberg 1965; Dreimanis 1967 1968; Dyck et al. 1966; Jackson 1978; Faunmap 3632 Bird et al. 2022
S-503 charcoal; charbon de bois NA NA 610±75 BP Wilmeth 1978; Faunmap 3519; Wright 1972a; Rutherford et al. 1973 1984; Lovis and Robertson 1989 Bird et al. 2022
S-1710 bear bone collagen; collagène osseux d' ours NA NA 790±45 BP Harington 2003: 382; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451 Bird et al. 2022
S-1717 deer bone collagen; collagène osseux de cerf NA NA 860±120 BP Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985 Bird et al. 2022
S-1712 deer bone collagen; collagène osseux de cerf NA NA 880±45 BP Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985 Bird et al. 2022
S-1714 beaver bone collagen; collagène osseux de castor NA NA 980±45 BP Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985 Bird et al. 2022
S-1718 fish bone collagen; collagène osseux de poisson NA NA 990±110 BP Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985 Bird et al. 2022
S-1711 bear bone collagen; collagène osseux d' ours NA NA 1000±75 BP Harington 2003: 406; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451 Bird et al. 2022
S-1720 cultigen; cultigéne NA NA 1035±80 BP Rutherford et al. 1981; Taillon et Barrà 1987; Marois 1980 Bird et al. 2022
S-1713 fish bone collagen; collagène osseux de poisson NA NA 1540±55 BP Harington 2003: 351; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451 Bird et al. 2022
S-1715 freshwater mollusc shell; coquille de mollusque d'eau douce NA NA 2125±70 BP Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985 Bird et al. 2022
S-1716 carbonized bone; os carbonisé NA NA 2780±75 BP Harington 2003: 406; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Harington 2003: 382; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451,
  
}
@misc{Harington 2003: 406; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451,
  
}
@misc{Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985,
  
}
@misc{Harington 2003: 351; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451,
  
}
@misc{McCallum and Wittenberg 1965; Dreimanis 1967 1968; Dyck et al. 1966; Jackson 1978; Faunmap 3632,
  
}
@misc{Rutherford et al. 1981; Taillon et Barrà 1987; Marois 1980,
  
}
@misc{Wilmeth 1978; Faunmap 3519; Wright 1972a; Rutherford et al. 1973 1984; Lovis and Robertson 1989,
  
}
@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":"Harington 2003: 382; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 406; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 351; Stewart 1974a; Wright 1974 1985; Rutherford et al. 1973 1984; Faunmap 3451","bibtex_type":"misc"}{"bibtex_key":"McCallum and Wittenberg 1965; Dreimanis 1967 1968; Dyck et al. 1966; Jackson 1978; Faunmap 3632","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981; Taillon et Barrà 1987; Marois 1980","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Faunmap 3519; Wright 1972a; Rutherford et al. 1973 1984; Lovis and Robertson 1989","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: 'Harington 2003: 382; Stewart 1974a; Wright 1974 1985; Rutherford et
  al. 1973 1984; Faunmap 3451'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 406; Stewart 1974a; Wright 1974 1985; Rutherford et
  al. 1973 1984; Faunmap 3451'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1973 1984; Stewart 1974a; Wright 1974 1985
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 351; Stewart 1974a; Wright 1974 1985; Rutherford et
  al. 1973 1984; Faunmap 3451'
:bibtex_type: :misc
---
:bibtex_key: McCallum and Wittenberg 1965; Dreimanis 1967 1968; Dyck et al. 1966;
  Jackson 1978; Faunmap 3632
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981; Taillon et Barrà 1987; Marois 1980
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Faunmap 3519; Wright 1972a; Rutherford et al. 1973 1984;
  Lovis and Robertson 1989
: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