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)
051.551° N, 065.776° W
Coordinates (DMS)
051° 33' 00" W, 065° 46' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
QU-114 charbon de bois; charcoal NA NA 1770±110 BP 1925–1408 cal BP Taillon et Barrà 1987; Barrette et al. 1977 Bird et al. 2022
QU-117 charbon de bois; charcoal NA NA 1130±90 BP 1277–828 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Barrette et al. 1977 Bird et al. 2022
QU-118 charbon de bois; charcoal NA NA 1160±110 BP 1295–802 cal BP Taillon et Barrà 1987; Denton 1989 Bird et al. 2022
QU-234 charbon de bois; charcoal NA NA 1280±170 BP 1524–800 cal BP Taillon et Barrà 1987; Barrette et al. 1977; Càtà 1987 Bird et al. 2022
QU-236 charbon de bois; charcoal NA NA 1620±340 BP 2338–802 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Barrette et al. 1977 Bird et al. 2022
QU-237 charbon de bois; charcoal NA NA 310±70 BP 508–20 cal BP Taillon et Barrà 1987; Barrette et al. 1977 Bird et al. 2022
QU-238 charbon de bois; charcoal (19 g) NA NA 1140±210 BP 1410–669 cal BP A.S. Dyke p.c. 1998 Bird et al. 2022
S-729 charbon de bois; charcoal NA NA 4980±210 BP 6278–5145 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Barrette et al. 1977 Bird et al. 2022
S-730 charbon de bois; charcoal NA NA 935±85 BP 1046–680 cal BP Brumley and Rushworth 1983; Wilmeth 1978; Gryba 1975 1976; Rutherford et al. 1975; Faunmap 3912 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Taillon et Barrà 1987; Barrette et al. 1977,
  
}
@misc{Rutherford et al. 1975; Taillon et Barrà 1987; Barrette et al. 1977,
  
}
@misc{Taillon et Barrà 1987; Denton 1989,
  
}
@misc{Taillon et Barrà 1987; Barrette et al. 1977; Càtà 1987,
  
}
@misc{A.S. Dyke p.c. 1998,
  
}
@misc{Brumley and Rushworth 1983; Wilmeth 1978; Gryba 1975 1976; Rutherford et al. 1975; Faunmap 3912,
  
}
@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":"Taillon et Barrà 1987; Barrette et al. 1977","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1975; Taillon et Barrà 1987; Barrette et al. 1977","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Denton 1989","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Barrette et al. 1977; Càtà 1987","bibtex_type":"misc"}{"bibtex_key":"A.S. Dyke p.c. 1998","bibtex_type":"misc"}{"bibtex_key":"Brumley and Rushworth 1983; Wilmeth 1978; Gryba 1975 1976; Rutherford et al. 1975; Faunmap 3912","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: Taillon et Barrà 1987; Barrette et al. 1977
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1975; Taillon et Barrà 1987; Barrette et al. 1977
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Denton 1989
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Barrette et al. 1977; Càtà 1987
:bibtex_type: :misc
---
:bibtex_key: A.S. Dyke p.c. 1998
:bibtex_type: :misc
---
:bibtex_key: Brumley and Rushworth 1983; Wilmeth 1978; Gryba 1975 1976; Rutherford
  et al. 1975; Faunmap 3912
: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