Site type

Location

Coordinates (degrees)
055.757° N, 129.755° W
Coordinates (DMS)
055° 45' 00" W, 129° 45' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CAMS-16203 NA charcoal; charbon de bois NA NA 4520±60 BP 5432–4973 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16956 NA marine shell; coquillage NA NA 5240±60 BP 6190–5905 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-19019 NA charcoal; charbon de bois NA NA 5330±60 BP 6277–5943 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-19020 NA marine shell; coquillage NA NA 5810±60 BP 6745–6451 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-19021 NA charcoal; charbon de bois NA NA 3780±60 BP 4401–3981 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-19022 NA marine shell; coquillage NA NA 6000±50 BP 6956–6680 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-19023 NA charcoal; charbon de bois NA NA 5740±60 BP 6661–6405 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-19024 NA marine shell; coquillage NA NA 5990±70 BP 7145–6665 cal BP Stafford 1998; Perttula 2004; Bousman et al 2015 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990,
  
}
@misc{Southon and Fedje 2000; Fedje and Christensen 1999,
  
}
@misc{Stafford 1998; Perttula 2004; Bousman et al 2015,
  
}
@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":"Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christensen 1999","bibtex_type":"misc"}{"bibtex_key":"Stafford 1998; Perttula 2004; Bousman et al 2015","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: Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christensen 1999
:bibtex_type: :misc
---
:bibtex_key: Stafford 1998; Perttula 2004; Bousman et al 2015
: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