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 (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-903 bone collagen; collagène osseux NA NA 660±160 BP Harington 2003: 433; Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975; Faunmap 4156 Bird et al. 2022
S-1254 bone collagen; collagène osseux NA NA 730±100 BP Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964 Bird et al. 2022
S-1219 charcoal; charbon de bois NA NA 760±130 BP Rutherford et al. 1979; Morlan 1993; Bryan and Steele 1976; Faunmap 3874 Bird et al. 2022
I-3195 charcoal; charbon de bois NA NA 3610±110 BP Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et al. 1969 1973; Millar 1968 Bird et al. 2022
S-701 bone collagen; collagène osseux NA NA 3620±75 BP Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975 Bird et al. 2022
I-3193 charcoal; charbon de bois NA NA 3870±105 BP Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975 Bird et al. 2022
I-3194 charcoal; charbon de bois NA NA 4000±110 BP Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975 Bird et al. 2022
S-700 charcoal; charbon de bois NA NA 4280±80 BP Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975 Bird et al. 2022
S-906 bison bone collagen; collagène osseux de bison NA NA 4800±160 BP Brumley and Rushworth 1983; Wilmeth 1978; Harington 2003: 443; Forbis 1962; McCallum and Wittenberg 1962; Faunmap 4003 Bird et al. 2022
S-702 bone collagen; collagène osseux NA NA 8060±140 BP Wilmeth 1978; Rutherford et al. 1979 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975,
  
}
@misc{Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et al. 1969 1973; Millar 1968,
  
}
@misc{Rutherford et al. 1979; Morlan 1993; Bryan and Steele 1976; Faunmap 3874,
  
}
@misc{Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1979,
  
}
@misc{Harington 2003: 433; Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975; Faunmap 4156,
  
}
@misc{Brumley and Rushworth 1983; Wilmeth 1978; Harington 2003: 443; Forbis 1962; McCallum and Wittenberg 1962; Faunmap 4003,
  
}
@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":"Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et al. 1969 1973; Millar 1968","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1979; Morlan 1993; Bryan and Steele 1976; Faunmap 3874","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1979","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 433; Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975; Faunmap 4156","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Wilmeth 1978; Harington 2003: 443; Forbis 1962; McCallum and Wittenberg 1962; Faunmap 4003","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: Rutherford et al. 1984; Millar 1968; Fedirchuk 1970 1975
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Lowdon et al. 1970; Rutherford et al. 1984; Kigoshi et
  al. 1969 1973; Millar 1968
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1979; Morlan 1993; Bryan and Steele 1976; Faunmap 3874
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981 1984; Millar 1968; MacNeish 1964
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1979
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 433; Rutherford et al. 1984; Millar 1968; Fedirchuk
  1970 1975; Faunmap 4156'
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Wilmeth 1978; Harington 2003: 443; Forbis
  1962; McCallum and Wittenberg 1962; Faunmap 4003'
: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