Site type

Location

Coordinates (degrees)
052.542° N, 116.481° W
Coordinates (DMS)
052° 32' 00" W, 116° 28' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-6384A bison bone apatite; apatite osseux de bison NA NA 4405±150 BP Brumley and Rushworth 1983; Driver 1985; Kennedy et al. 1982; Faunmap 4063 Bird et al. 2022
RL-508 bison bone collagen; collagène osseux de bison NA NA 6420±160 BP Brumley and Rushworth 1983; Harington 2003: 431; Driver 1976 1978; Reeves 1975; Faunmap 3976 Bird et al. 2022
RL-872 bison bone collagen; collagène osseux de bison NA NA 2880±140 BP Brumley and Rushworth 1983; Harington 2003: 429; Landals 1986; Faunmap 3975; Driver 1982 1985 1987 Bird et al. 2022
RL-873 bison bone collagen; collagène osseux de bison NA NA 8630±270 BP Brumley and Rushworth 1983; Harington 2003: 431; Landals 1986; Faunmap 3975; Driver 1982 1985 1987 Bird et al. 2022
RL-876 bison bone collagen; collagène osseux de bison NA NA 7280±230 BP Brumley and Rushworth 1983; Harington 2003: 462; Driver 1985 1987; Landals 1986; Faunmap 3975 Bird et al. 2022
RL-877 bison bone collagen; collagène osseux de bison NA NA 4220±150 BP Miller Jornada Database Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Brumley and Rushworth 1983;  Driver 1985;  Kennedy et al. 1982;  Faunmap 4063,
  
}
@misc{Brumley and Rushworth 1983; Harington 2003: 431; Driver 1976 1978; Reeves 1975; Faunmap 3976,
  
}
@misc{Brumley and Rushworth 1983; Harington 2003: 429; Landals 1986; Faunmap 3975; Driver 1982 1985 1987,
  
}
@misc{Brumley and Rushworth 1983; Harington 2003: 431; Landals 1986; Faunmap 3975; Driver 1982 1985 1987,
  
}
@misc{Brumley and Rushworth 1983; Harington 2003: 462; Driver 1985 1987; Landals 1986; Faunmap 3975,
  
}
@misc{Miller Jornada Database,
  
}
@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":"Brumley and Rushworth 1983;  Driver 1985;  Kennedy et al. 1982;  Faunmap 4063","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Harington 2003: 431; Driver 1976 1978; Reeves 1975; Faunmap 3976","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Harington 2003: 429; Landals 1986; Faunmap 3975; Driver 1982 1985 1987","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Harington 2003: 431; Landals 1986; Faunmap 3975; Driver 1982 1985 1987","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Harington 2003: 462; Driver 1985 1987; Landals 1986; Faunmap 3975","bibtex_type":"misc"}{"bibtex_key":"Miller Jornada Database","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: Brumley and Rushworth 1983;  Driver 1985;  Kennedy et al. 1982;  Faunmap
  4063
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Harington 2003: 431; Driver 1976 1978; Reeves
  1975; Faunmap 3976'
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Harington 2003: 429; Landals 1986; Faunmap
  3975; Driver 1982 1985 1987'
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Harington 2003: 431; Landals 1986; Faunmap
  3975; Driver 1982 1985 1987'
:bibtex_type: :misc
---
:bibtex_key: 'Brumley and Rushworth 1983; Harington 2003: 462; Driver 1985 1987; Landals
  1986; Faunmap 3975'
:bibtex_type: :misc
---
:bibtex_key: Miller Jornada Database
: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