Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
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 (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-1144 plant remains NA NA 3135±55 BP 3454–3215 cal BP Chisholm 1986; Rutherford et al. 1979; MacDonald and Inglis 1981; Inglis 1974 Bird et al. 2022
S-1145 charcoal NA NA 2485±60 BP 2726–2365 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-1283 human bone collagen; collagène osseux humain NA NA 2320±60 BP 2685–2148 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-1598 human bone collagen; collagène osseux humain NA NA 3100±50 BP 3443–3175 cal BP Chisholm 1986; Rutherford et al. 1979; MacDonald and Inglis 1981; Inglis 1974 Bird et al. 2022
S-1599 human bone collagen; collagène osseux humain NA NA 1940±60 BP 1993–1725 cal BP Lowdon and Blake 1968; McCallum and Dyck 1960; Jackson 1988a; McAndrews and Jackson 1988; Dreimanis 1967 1968; Faunmap 3624 Bird et al. 2022
S-1738 human bone collagen; collagène osseux humain NA NA 2040±60 BP 2145–1829 cal BP Ames 2005; Morley 2007-230; Archer 1973-007; MacDonald 1971-006 Bird et al. 2022
S-3361 human bone collagen; collagène osseux humain NA NA 3290±80 BP 3811–3359 cal BP Nolin 1994; Pilon 1991a 1994 Bird et al. 2022
S-871 charcoal NA NA 2655±65 BP 2932–2518 cal BP Chisholm 1986; Rutherford et al. 1979; MacDonald and Inglis 1981; Inglis 1974 Bird et al. 2022
S-872 charcoal NA NA 3285±110 BP 3828–3250 cal BP Chisholm 1986; Rutherford et al. 1979; MacDonald and Inglis 1981; Inglis 1974 Bird et al. 2022
S-873 charcoal NA NA 1830±105 BP 1997–1479 cal BP Brumley and Rushworth 1983; Wilmeth 1978; Rutherford et al. 1979; Faunmap 4044 Bird et al. 2022
S-990 charcoal NA NA 2740±110 BP 3172–2515 cal BP Chisholm 1986; Rutherford et al. 1979; MacDonald and Inglis 1981; Inglis 1974 Bird et al. 2022
S-991 charcoal NA NA 1525±55 BP 1523–1310 cal BP Wilmeth 1978a; Rutherford et al. 1979; MacDonald and Inglis 1981; Ames 2005. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@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{Chisholm 1986;  Lowdon et al. 1974;  MacDonald and Inglis 1981; Ames 2005;  Rutherford et al. 1973 1975 1979;  Stewart and Stewart 1996,
  
}
@misc{Lowdon and Blake 1968; McCallum and Dyck 1960; Jackson 1988a; McAndrews and Jackson 1988; Dreimanis 1967 1968; Faunmap 3624,
  
}
@misc{Nolin 1994; Pilon 1991a 1994,
  
}
@misc{Brumley and Rushworth 1983; Wilmeth 1978; Rutherford et al. 1979; Faunmap 4044,
  
}
@misc{Wilmeth 1978a;  Rutherford et al. 1979;  MacDonald and Inglis 1981; Ames 2005.,
  
}
@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":"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":"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":"Lowdon and Blake 1968; McCallum and Dyck 1960; Jackson 1988a; McAndrews and Jackson 1988; Dreimanis 1967 1968; Faunmap 3624","bibtex_type":"misc"}{"bibtex_key":"Nolin 1994; Pilon 1991a 1994","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Wilmeth 1978; Rutherford et al. 1979; Faunmap 4044","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978a;  Rutherford et al. 1979;  MacDonald and Inglis 1981; Ames 2005.","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: 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: 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: Lowdon and Blake 1968; McCallum and Dyck 1960; Jackson 1988a; McAndrews
  and Jackson 1988; Dreimanis 1967 1968; Faunmap 3624
:bibtex_type: :misc
---
:bibtex_key: Nolin 1994; Pilon 1991a 1994
:bibtex_type: :misc
---
:bibtex_key: Brumley and Rushworth 1983; Wilmeth 1978; Rutherford et al. 1979; Faunmap
  4044
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978a;  Rutherford et al. 1979;  MacDonald and Inglis 1981; Ames
  2005.
: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