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)
050.789° N, 125.986° W
Coordinates (DMS)
050° 47' 00" W, 125° 59' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (20)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
CAMS-40381 charcoal; charbon de bois NA NA 2190±50 BP 2334–2052 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40382 marine shell; coquillage NA NA 2250±70 BP 2403–2005 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40383 charcoal; charbon de bois NA NA 2760±50 BP 2959–2760 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40384 marine shell; coquillage NA NA 2230±50 BP 2342–2124 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40385 charcoal; charbon de bois NA NA 2900±50 BP 3201–2879 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40386 marine shell; coquillage NA NA 1690±50 BP 1708–1416 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40387 charcoal; charbon de bois NA NA 2290±50 BP 2410–2146 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40389 charcoal; charbon de bois NA NA 2840±50 BP 3141–2790 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40390 marine shell; coquillage NA NA 800±50 BP 792–660 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40391 charcoal; charbon de bois NA NA 1530±40 BP 1520–1317 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40392 marine shell; coquillage NA NA 2120±50 BP 2304–1944 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40393 charcoal; charbon de bois NA NA 2670±50 BP 2865–2727 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40394 marine shell; coquillage NA NA 190±50 BP 309–55 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40395 charcoal; charbon de bois NA NA 1170±50 BP 1243–958 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40396 marine shell; coquillage NA NA 2770±50 BP 2991–2760 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40397 charcoal; charbon de bois NA NA 2710±50 BP 2925–2745 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
CAMS-40398 marine shell; coquillage NA NA 1070±70 BP 1177–793 cal BP COLTRAIN 1994 Bird et al. 2022
TO-5363 charcoal; charbon de bois NA NA 2010±50 BP 2099–1826 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
TO-5364 charcoal; charbon de bois NA NA 2310±60 BP 2670–2129 cal BP Mitchell 1996; Southon and Fedje 2003 Bird et al. 2022
TO-5365 charcoal; charbon de bois NA NA 1760±50 BP 1740–1537 cal BP Clague 1980; Keddie 1987; McMurdo 1976 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

  • No bibliographic information available. [Mitchell 1996; Southon and Fedje 2003]
  • No bibliographic information available. [COLTRAIN 1994]
  • No bibliographic information available. [Clague 1980; Keddie 1987; McMurdo 1976]
  • Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]
@misc{Mitchell 1996;  Southon and Fedje 2003,
  
}
@misc{COLTRAIN 1994,
  
}
@misc{Clague 1980;  Keddie 1987;  McMurdo 1976,
  
}
@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":"Mitchell 1996;  Southon and Fedje 2003","bibtex_type":"misc"}{"bibtex_key":"COLTRAIN 1994","bibtex_type":"misc"}{"bibtex_key":"Clague 1980;  Keddie 1987;  McMurdo 1976","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: Mitchell 1996;  Southon and Fedje 2003
:bibtex_type: :misc
---
:bibtex_key: COLTRAIN 1994
:bibtex_type: :misc
---
:bibtex_key: Clague 1980;  Keddie 1987;  McMurdo 1976
: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