Site type

Location

Coordinates (degrees)
055.853° N, 097.152° W
Coordinates (DMS)
055° 51' 00" W, 097° 09' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GX-4067 bone collagené; collagène osseuxé NA NA 390±125 BP Wilmeth 1978a; Lowdon et al. 1969; Richards and Rousseau 1987; Sanger 1964-003; Sanger 1970 Bird et al. 2022
GX-4689 burned bone apatite; apatite osseux brûlé NA NA 1340±155 BP Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b Bird et al. 2022
GX-4690 burned bone apatite; apatite osseux brûlé NA NA 1365±175 BP Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b Bird et al. 2022
GX-4691 burned bone apatite; apatite osseux brûlé NA NA 1060±180 BP Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b Bird et al. 2022
GX-4692 charcoal; charbon de bois NA NA 3510±135 BP Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b Bird et al. 2022
GX-4693 charcoal; charbon de bois NA NA 3495±155 BP Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b Bird et al. 2022
GX-4694 charcoal; charbon de bois NA NA 960±120 BP Davis 1982; Graham et al. 1987; Roll and Deaver 1980; Faunmap 575 Bird et al. 2022
GX-5497 charcoal; charbon de bois NA NA 255±120 BP Aikens 1966a; Marwitt 1970: table 9 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Wilmeth 1978a;  Lowdon et al. 1969;  Richards and Rousseau 1987; Sanger 1964-003;  Sanger 1970,
  
}
@misc{Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b,
  
}
@misc{Davis 1982; Graham et al. 1987; Roll and Deaver 1980; Faunmap 575,
  
}
@misc{Aikens 1966a; Marwitt 1970: table 9,
  
}
@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":"Wilmeth 1978a;  Lowdon et al. 1969;  Richards and Rousseau 1987; Sanger 1964-003;  Sanger 1970","bibtex_type":"misc"}{"bibtex_key":"Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989; Zoltai 1989a 1989b","bibtex_type":"misc"}{"bibtex_key":"Davis 1982; Graham et al. 1987; Roll and Deaver 1980; Faunmap 575","bibtex_type":"misc"}{"bibtex_key":"Aikens 1966a; Marwitt 1970: table 9","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: Wilmeth 1978a;  Lowdon et al. 1969;  Richards and Rousseau 1987; Sanger
  1964-003;  Sanger 1970
:bibtex_type: :misc
---
:bibtex_key: Buchner 1979; Hambly 1994; B. Saylor 1989; S. Saylor 1976 1977 1989;
  Zoltai 1989a 1989b
:bibtex_type: :misc
---
:bibtex_key: Davis 1982; Graham et al. 1987; Roll and Deaver 1980; Faunmap 575
:bibtex_type: :misc
---
:bibtex_key: 'Aikens 1966a; Marwitt 1970: table 9'
: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