Site type

Location

Coordinates (degrees)
055.757° N, 129.755° W
Coordinates (DMS)
055° 45' 00" W, 129° 45' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (37)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-227183 NA Human Bone NA NA 1730±40 BP 1705–1541 cal BP Cybulski 2014 Bird et al. 2022
Beta-227184 NA Human Bone NA NA 1660±40 BP 1692–1413 cal BP Cybulski 2014 Bird et al. 2022
Beta-241035 NA Human Bone NA NA 1650±40 BP 1689–1411 cal BP Cybulski 2014 Bird et al. 2022
Beta-24733 NA charcoal; charbon de bois NA NA 2070±80 BP 2305–1826 cal BP Chisholm 1986; Ames n.d.; MacDonald and Inglis 1981; Inglis 1974 1976 Bird et al. 2022
Beta-24734 NA charcoal; charbon de bois NA NA 2010±70 BP 2122–1746 cal BP Chisholm 1986; Ames n.d.; MacDonald and Inglis 1981; Inglis 1974 1976 Bird et al. 2022
Beta-283861 NA Human Bone NA NA 1590±40 BP 1535–1389 cal BP Cybulski 2014 Bird et al. 2022
S-1146 NA charcoal NA NA 2090±65 BP 2304–1880 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1147 NA charcoal NA NA 3565±75 BP 4085–3642 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1148 NA charcoal NA NA 4455±80 BP 5303–4870 cal BP Rutherford et al. 1979; Taillon et Barrà 1987; Marois et Gauthier 1989 Bird et al. 2022
S-1282 NA human bone collagen; collagène osseux humain NA NA 2400±60 BP 2705–2337 cal BP Chisholm 1986; Rutherford et al. 1979; MacDonald and Inglis 1981; Inglis 1974 Bird et al. 2022
S-1406 NA charcoal NA NA 715±60 BP 732–554 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1407 NA charcoal NA NA 2310±65 BP 2682–2125 cal BP Ames 2005.; Inglis 1972-4; MacDonald 1971-6 Bird et al. 2022
S-1433 NA human bone collagen; collagène osseux humain NA NA 3220±80 BP 3637–3240 cal BP Rutherford et al. 1979 1981; Gordon 1996 Bird et al. 2022
S-1663 NA human bone collagen; collagène osseux humain NA NA 1940±40 BP 1981–1743 cal BP Chisholm 1986; Lowdon et al. 1974; MacDonald and Inglis 1981; Ames 2005; Rutherford et al. 1973 1975 1979; Stewart and Stewart 1996 Bird et al. 2022
S-1725 NA charcoal NA NA 1310±45 BP 1302–1129 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1726 NA charcoal NA NA 2530±45 BP 2751–2466 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1727 NA charcoal NA NA 1815±90 BP 1940–1529 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1728 NA human bone collagen; collagène osseux humain NA NA 2320±40 BP 2464–2157 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1729 NA human bone collagen; collagène osseux humain NA NA 2300±50 BP 2430–2149 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1730 NA human bone collagen; collagène osseux humain NA NA 2320±50 BP 2607–2153 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Cybulski 2014,
  
}
@misc{Chisholm 1986; Ames n.d.; MacDonald and Inglis 1981; Inglis 1974 1976,
  
}
@misc{Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames 2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1979,
  
}
@misc{Chisholm 1986;  Rutherford et al. 1979;  MacDonald and Inglis 1981;  Inglis 1974,
  
}
@misc{Ames 2005;  Morley 2007-230;  Archer 1973-007;  MacDonald 1971-006,
  
}
@misc{Rutherford et al. 1979; Taillon et Barrà 1987; Marois et Gauthier 1989,
  
}
@misc{Rutherford et al. 1984,
  
}
@misc{Rutherford et al. 1979 1981; Gordon 1996,
  
}
@misc{Ames 2005.;  Inglis 1972-4;  MacDonald 1971-6,
  
}
@misc{Brumley and Rushworth 1983; Harington 2003: 458; Quigg 1975a; Rutherford et al. 1979,
  
}
@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":"Cybulski 2014","bibtex_type":"misc"}{"bibtex_key":"Chisholm 1986; Ames n.d.; MacDonald and Inglis 1981; Inglis 1974 1976","bibtex_type":"misc"}{"bibtex_key":"Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames 2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1979","bibtex_type":"misc"}{"bibtex_key":"Chisholm 1986;  Rutherford et al. 1979;  MacDonald and Inglis 1981;  Inglis 1974","bibtex_type":"misc"}{"bibtex_key":"Ames 2005;  Morley 2007-230;  Archer 1973-007;  MacDonald 1971-006","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979; Taillon et Barrà 1987; Marois et Gauthier 1989","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979 1981; Gordon 1996","bibtex_type":"misc"}{"bibtex_key":"Ames 2005.;  Inglis 1972-4;  MacDonald 1971-6","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Harington 2003: 458; Quigg 1975a; Rutherford et al. 1979","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: Cybulski 2014
:bibtex_type: :misc
---
:bibtex_key: Chisholm 1986; Ames n.d.; MacDonald and Inglis 1981; Inglis 1974 1976
:bibtex_type: :misc
---
:bibtex_key: Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames
  2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1979
:bibtex_type: :misc
---
:bibtex_key: Chisholm 1986;  Rutherford et al. 1979;  MacDonald and Inglis 1981;  Inglis
  1974
:bibtex_type: :misc
---
:bibtex_key: Ames 2005;  Morley 2007-230;  Archer 1973-007;  MacDonald 1971-006
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979; Taillon et Barrà 1987; Marois et Gauthier 1989
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979 1981; Gordon 1996
:bibtex_type: :misc
---
:bibtex_key: Ames 2005.;  Inglis 1972-4;  MacDonald 1971-6
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Harington 2003: 458; Quigg 1975a; Rutherford
  et al. 1979'
: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