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 (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GSC-1634 NA wood; bois NA NA 7920±140 BP 9124–8418 cal BP Lowdon and Blake 1979; Scotter and Simmons 1976; Faunmap 4157; Harington 2003: 467 Bird et al. 2022
GSC-1649 NA animal remains; restes d'animaux NA NA 2400±160 BP 2782–2004 cal BP Lowdon et al. 1974; Spence et al. 1990 Bird et al. 2022
GSC-1727 NA wood; bois NA NA 880±130 BP 1060–560 cal BP Brumley and Rushworth 1983; Wilmeth 1978; Lowdon et al. 1974; Anderson and Reeves 1975: 126 Bird et al. 2022
GSC-1757 NA sheep bone collagen; collagène osseux de mouflon NA NA 2440±80 BP 2720–2349 cal BP Harington 2004 Bird et al. 2022
GSC-1774 NA animal remains; restes d'animaux NA NA 2370±150 BP 2756–2005 cal BP Lowdon and Blake 1979; Harington 1978 2003: 350; Faunmap 4193 Bird et al. 2022
GSC-2035 NA woodrat feces; féces de rat é queue touffue NA NA 140±60 BP 285–166 cal BP Wilmeth 1978; Berry and Drimmie 1982; Blake 1988; A.I. Ingstad 1977; H. Ingstad 1959 1966; McNeely 1989; Nydal 1977 1989; Nydal et al. 1970 1972; Paulssen 1977; B. Wallace p.c. 1999 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Lowdon and Blake 1979; Scotter and Simmons 1976; Faunmap 4157; Harington 2003: 467,
  
}
@misc{Lowdon et al. 1974; Spence et al. 1990,
  
}
@misc{Brumley and Rushworth 1983; Wilmeth 1978; Lowdon et al. 1974; Anderson and Reeves 1975: 126,
  
}
@misc{Harington 2004,
  
}
@misc{Lowdon and Blake 1979; Harington 1978 2003: 350; Faunmap 4193,
  
}
@misc{Wilmeth 1978; Berry and Drimmie 1982; Blake 1988; A.I. Ingstad 1977; H. Ingstad 1959 1966; McNeely 1989; Nydal 1977 1989; Nydal et al. 1970 1972; Paulssen 1977; B. Wallace p.c. 1999,
  
}
@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":"Lowdon and Blake 1979; Scotter and Simmons 1976; Faunmap 4157; Harington 2003: 467","bibtex_type":"misc"}{"bibtex_key":"Lowdon et al. 1974; Spence et al. 1990","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Wilmeth 1978; Lowdon et al. 1974; Anderson and Reeves 1975: 126","bibtex_type":"misc"}{"bibtex_key":"Harington 2004","bibtex_type":"misc"}{"bibtex_key":"Lowdon and Blake 1979; Harington 1978 2003: 350; Faunmap 4193","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Berry and Drimmie 1982; Blake 1988; A.I. Ingstad 1977; H. Ingstad 1959 1966; McNeely 1989; Nydal 1977 1989; Nydal et al. 1970 1972; Paulssen 1977; B. Wallace p.c. 1999","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: 'Lowdon and Blake 1979; Scotter and Simmons 1976; Faunmap 4157; Harington
  2003: 467'
:bibtex_type: :misc
---
:bibtex_key: Lowdon et al. 1974; Spence et al. 1990
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Wilmeth 1978; Lowdon et al. 1974; Anderson
  and Reeves 1975: 126'
:bibtex_type: :misc
---
:bibtex_key: Harington 2004
:bibtex_type: :misc
---
:bibtex_key: 'Lowdon and Blake 1979; Harington 1978 2003: 350; Faunmap 4193'
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Berry and Drimmie 1982; Blake 1988; A.I. Ingstad 1977;
  H. Ingstad 1959 1966; McNeely 1989; Nydal 1977 1989; Nydal et al. 1970 1972; Paulssen
  1977; B. Wallace p.c. 1999
: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