Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
053.827° N, 061.592° W
Coordinates (DMS)
053° 49' 00" W, 061° 35' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (12)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-28074 charbon de bois; charcoal NA NA 1260±100 BP 1344–958 cal BP Pintal 1998; Morrison 1990 Bird et al. 2022
Beta-28078 charbon de bois; charcoal NA NA 1230±110 BP 1340–928 cal BP Taillon et Barrà 1987; Pintal 1998 Bird et al. 2022
UQ-1743 charbon de bois; charcoal NA NA 2500±150 BP 2920–2153 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1744 charbon de bois; charcoal NA NA 700±150 BP 955–337 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1745 charbon de bois; charcoal NA NA 1600±150 BP 1861–1178 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1746 charbon de bois; charcoal NA NA 300±150 BP can not be calculated cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1749 charbon de bois; charcoal NA NA 850±150 BP 1060–544 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1750 charbon de bois; charcoal NA NA 1000±150 BP 1264–670 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1751 charbon de bois; charcoal NA NA 2300±150 BP 2735–1948 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1752 charbon de bois; charcoal NA NA 550±150 BP 792–152 cal BP Plumet et al. 1994; Pintal 1994 1998 Bird et al. 2022
UQ-1756 charbon de bois; charcoal NA NA 1350±150 BP 1535–935 cal BP Pintal 1998; Plumet et al. 1994 Bird et al. 2022
UQ-1768 charbon de bois; charcoal NA NA 1600±150 BP 1861–1178 cal BP Débénath et al. 1983/84 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Pintal 1998; Morrison 1990,
  
}
@misc{Taillon et Barrà 1987; Pintal 1998,
  
}
@misc{Pintal 1998; Plumet et al. 1994,
  
}
@misc{Plumet et al. 1994; Pintal 1994 1998,
  
}
@misc{Débénath et al. 1983/84,
  
}
@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":"Pintal 1998; Morrison 1990","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Pintal 1998","bibtex_type":"misc"}{"bibtex_key":"Pintal 1998; Plumet et al. 1994","bibtex_type":"misc"}{"bibtex_key":"Plumet et al. 1994; Pintal 1994 1998","bibtex_type":"misc"}{"bibtex_key":"Débénath et al. 1983/84","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: Pintal 1998; Morrison 1990
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Pintal 1998
:bibtex_type: :misc
---
:bibtex_key: Pintal 1998; Plumet et al. 1994
:bibtex_type: :misc
---
:bibtex_key: Plumet et al. 1994; Pintal 1994 1998
:bibtex_type: :misc
---
:bibtex_key: Débénath et al. 1983/84
: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