Site type

Location

Coordinates (degrees)
071.037° N, 088.910° W
Coordinates (DMS)
071° 02' 00" W, 088° 54' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (10)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-2020 spruce wood; bois d'épinette NA NA 1070±60 BP Rutherford et al. 1984; Morrison 1983 1989 Bird et al. 2022
S-2021 spruce wood; bois d'épinette NA NA 1090±70 BP Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212 Bird et al. 2022
S-2022 spruce wood; bois d'épinette NA NA 1070±60 BP Rutherford et al. 1984; Morrison 1983 1989 Bird et al. 2022
S-2023 spruce wood; bois d'épinette NA NA 1280±70 BP Rutherford et al. 1984; Morrison 1983 1989 Bird et al. 2022
S-2024 spruce wood; bois d'épinette NA NA 820±80 BP Rutherford et al. 1984; Morrison 1983 1989 Bird et al. 2022
S-2025 spruce wood; bois d'épinette NA NA 1030±70 BP Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212 Bird et al. 2022
S-2026 spruce wood; bois d'épinette NA NA 840±60 BP Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212 Bird et al. 2022
S-2027 spruce wood; bois d'épinette NA NA 840±60 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-2221 willow wood; bois de saule NA NA 905±145 BP Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212 Bird et al. 2022
S-2222 willow wood; bois de saule NA NA 1140±100 BP CMC files; Morrison 1983 1989; Faunmap 4214 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Rutherford et al. 1984; Morrison 1983 1989,
  
}
@misc{Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212,
  
}
@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{CMC files; Morrison 1983 1989; Faunmap 4214,
  
}
@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":"Rutherford et al. 1984; Morrison 1983 1989","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212","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":"CMC files; Morrison 1983 1989; Faunmap 4214","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: Rutherford et al. 1984; Morrison 1983 1989
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Morrison 1983 1989; Faunmap 4212
: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: CMC files; Morrison 1983 1989; Faunmap 4214
: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