Site type

Location

Coordinates (degrees)
045.990° N, 066.625° W
Coordinates (DMS)
045° 59' 00" W, 066° 37' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
S-1825 charcoal; charbon de bois NA NA 1610±60 BP Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975 1978 Bird et al. 2022
S-1638 charcoal and charred nutshell; charbon de bois et coquille de noix NA NA 1680±70 BP Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975 1978 Bird et al. 2022
S-1637 charcoal; charbon de bois NA NA 1780±40 BP Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975 1978 Bird et al. 2022
RL-147 charcoal; charbon de bois NA NA 1820±120 BP Harington 2003: 456; Quigg 1981b; Brumley and Rushworth; Faunmap 4023 Bird et al. 2022
S-1824 charcoal; charbon de bois NA NA 1960±70 BP Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975 1978 Bird et al. 2022
S-1639 charred plant remains; restes de plantes carbonisés NA NA 2080±50 BP Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix 1969; Ramsay 1991; Faunmap 3615 Bird et al. 2022
S-1826 charcoal; charbon de bois NA NA 2660±90 BP Rutherford et al. 1984 Bird et al. 2022
RL-148 charcoal; charbon de bois NA NA 2970±120 BP Novotny 1981; Faunmap 783 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Harington 2003: 456; Quigg 1981b; Brumley and Rushworth; Faunmap 4023,
  
}
@misc{Novotny 1981; Faunmap 783,
  
}
@misc{Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975 1978,
  
}
@misc{Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix 1969; Ramsay 1991; Faunmap 3615,
  
}
@misc{Rutherford et al. 1984,
  
}
@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 2003: 456; Quigg 1981b; Brumley and Rushworth; Faunmap 4023","bibtex_type":"misc"}{"bibtex_key":"Novotny 1981; Faunmap 783","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975 1978","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix 1969; Ramsay 1991; Faunmap 3615","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984","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 2003: 456; Quigg 1981b; Brumley and Rushworth; Faunmap 4023'
:bibtex_type: :misc
---
:bibtex_key: Novotny 1981; Faunmap 783
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984; Donahue-Harmon 1980; Foulkes 1981; Turnbull 1975
  1978
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 442; Rutherford et al. 1973 1984; Morlan 1993; Phenix
  1969; Ramsay 1991; Faunmap 3615'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984
: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