Site type

Location

Coordinates (degrees)
051.437° N, 100.503° W
Coordinates (DMS)
051° 26' 00" W, 100° 30' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GSC-1219 bone collagen (from 525 g); collagène osseux NA NA 2320±130 BP 2724–2005 cal BP Harington 1990 2003: 392; Blake 1984; Faunmap 3461 Bird et al. 2022
GSC-1308 organic sediment; sédiment organique NA NA 2330±130 BP 2727–2009 cal BP Wilmeth 1978; Sanger 1987; Stewart 1974; Lowdon et al. 1972; Savage 1970; Faunmap 3564 Bird et al. 2022
S-1951 bison bone collagen; collagène osseux de bison NA NA 390±75 BP 536–300 cal BP Rutherford et al. 1984; Badertscher 1980; Colwill 1973; Ehrlich et al. 1962; Elson 1967; Gryba 1968; Klassen 1969; Lowdon et al. 1970 1972 Bird et al. 2022
S-1952 charcoal; charbon de bois NA NA 1670±70 BP 1706–1405 cal BP Bielawski 1988 Bird et al. 2022
S-2028 bone collagen; collagène osseux NA NA 13060±3190 BP 22361–8453 cal BP Rutherford et al. 1984; Badertscher 1980; Colwill 1973; Ehrlich et al. 1962; Elson 1967; Gryba 1968; Klassen 1969; Lowdon et al. 1970 1972 Bird et al. 2022
S-2029 peat; tourbe NA NA 720±60 BP 735–553 cal BP McCallum and Wittenberg 1968; Morlan 1993; Dyck 1983; Kehoe 1973; Ranere 1965; Watson 1966 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Harington 1990 2003: 392; Blake 1984; Faunmap 3461,
  
}
@misc{Wilmeth 1978; Sanger 1987; Stewart 1974; Lowdon et al. 1972; Savage 1970; Faunmap 3564,
  
}
@misc{Rutherford et al. 1984; Badertscher 1980; Colwill 1973; Ehrlich et al. 1962; Elson 1967; Gryba 1968; Klassen 1969; Lowdon et al. 1970 1972,
  
}
@misc{Bielawski 1988,
  
}
@misc{McCallum and Wittenberg 1968; Morlan 1993; Dyck 1983; Kehoe 1973; Ranere 1965; Watson 1966,
  
}
@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":"Harington 1990 2003: 392; Blake 1984; Faunmap 3461","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Sanger 1987; Stewart 1974; Lowdon et al. 1972; Savage 1970; Faunmap 3564","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Badertscher 1980; Colwill 1973; Ehrlich et al. 1962; Elson 1967; Gryba 1968; Klassen 1969; Lowdon et al. 1970 1972","bibtex_type":"misc"}{"bibtex_key":"Bielawski 1988","bibtex_type":"misc"}{"bibtex_key":"McCallum and Wittenberg 1968; Morlan 1993; Dyck 1983; Kehoe 1973; Ranere 1965; Watson 1966","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: 'Harington 1990 2003: 392; Blake 1984; Faunmap 3461'
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Sanger 1987; Stewart 1974; Lowdon et al. 1972; Savage 1970;
  Faunmap 3564
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Badertscher 1980; Colwill 1973; Ehrlich et al.
  1962; Elson 1967; Gryba 1968; Klassen 1969; Lowdon et al. 1970 1972
:bibtex_type: :misc
---
:bibtex_key: Bielawski 1988
:bibtex_type: :misc
---
:bibtex_key: McCallum and Wittenberg 1968; Morlan 1993; Dyck 1983; Kehoe 1973; Ranere
  1965; Watson 1966
: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