Site type

Location

Coordinates (degrees)
053.329° N, 114.075° W
Coordinates (DMS)
053° 19' 00" W, 114° 04' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (11)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-1790 NA bison bone collagen; collagène osseux de bison NA NA 890±75 BP 925–681 cal BP Harington 2003: 453; Rains and Welch 1988 Bird et al. 2022
S-1791 NA bison bone collagen; collagène osseux de bison NA NA 785±70 BP 903–562 cal BP Rains and Welch 1988; Harington 2003: 447 Bird et al. 2022
S-1793 NA bison bone collagen; collagène osseux de bison NA NA 1300±70 BP 1341–1063 cal BP Rains and Welch 1988; Harington 2003: 436; Rains 1987 Bird et al. 2022
S-1794 NA bison bone collagen; collagène osseux de bison NA NA 3280±90 BP 3818–3266 cal BP Rains and Welch 1988; Harington 2003: 436; Rains 1987 Bird et al. 2022
S-1795 NA bison bone collagen; collagène osseux de bison NA NA 3335±90 BP 3827–3380 cal BP Rains and Welch 1988; Harington 2003: 351; Rains 1987 Bird et al. 2022
S-1796 NA wood; bois NA NA 3180±85 BP 3575–3171 cal BP Rains and Welch 1988; Harington 2003: 434 Bird et al. 2022
S-1797 NA bison bone collagen; collagène osseux de bison NA NA 4305±150 BP 5314–4444 cal BP Rains and Welch 1988; Harington 2003: 429 Bird et al. 2022
S-1798 NA bison bone collagen; collagène osseux de bison NA NA 8275±1090 BP 12438–7022 cal BP Rains and Welch 1988; Harington 2003: 437 Bird et al. 2022
S-2387 NA bone collagen; collagène osseux NA NA 5570±230 BP 6935–5766 cal BP Rains and Welch 1988 Bird et al. 2022
S-2388 NA bone collagen; collagène osseux NA NA 3020±125 BP 3458–2870 cal BP Rains and Welch 1988 Bird et al. 2022
S-2390 NA bone collagen; collagène osseux NA NA 2105±205 BP 2702–1588 cal BP Morlan 1993; Meyer and Russell 1987; Quigg 1983; Faunmap 3903 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Rains and Welch 1988,
  
}
@misc{Harington 2003: 453; Rains and Welch 1988,
  
}
@misc{Rains and Welch 1988; Harington 2003: 447,
  
}
@misc{Rains and Welch 1988; Harington 2003: 436; Rains 1987,
  
}
@misc{Rains and Welch 1988; Harington 2003: 351; Rains 1987,
  
}
@misc{Rains and Welch 1988; Harington 2003: 434,
  
}
@misc{Rains and Welch 1988; Harington 2003: 429,
  
}
@misc{Rains and Welch 1988; Harington 2003: 437,
  
}
@misc{Morlan 1993; Meyer and Russell 1987; Quigg 1983; Faunmap 3903,
  
}
@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":"Rains and Welch 1988","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 453; Rains and Welch 1988","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988; Harington 2003: 447","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988; Harington 2003: 436; Rains 1987","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988; Harington 2003: 351; Rains 1987","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988; Harington 2003: 434","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988; Harington 2003: 429","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988; Harington 2003: 437","bibtex_type":"misc"}{"bibtex_key":"Morlan 1993; Meyer and Russell 1987; Quigg 1983; Faunmap 3903","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: Rains and Welch 1988
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 453; Rains and Welch 1988'
:bibtex_type: :misc
---
:bibtex_key: 'Rains and Welch 1988; Harington 2003: 447'
:bibtex_type: :misc
---
:bibtex_key: 'Rains and Welch 1988; Harington 2003: 436; Rains 1987'
:bibtex_type: :misc
---
:bibtex_key: 'Rains and Welch 1988; Harington 2003: 351; Rains 1987'
:bibtex_type: :misc
---
:bibtex_key: 'Rains and Welch 1988; Harington 2003: 434'
:bibtex_type: :misc
---
:bibtex_key: 'Rains and Welch 1988; Harington 2003: 429'
:bibtex_type: :misc
---
:bibtex_key: 'Rains and Welch 1988; Harington 2003: 437'
:bibtex_type: :misc
---
:bibtex_key: Morlan 1993; Meyer and Russell 1987; Quigg 1983; Faunmap 3903
: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