100+ datasets found
  1. B

    Sex in Canada full dataset

    • borealisdata.ca
    • dataone.org
    Updated Apr 3, 2024
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    Tina Fetner (2024). Sex in Canada full dataset [Dataset]. http://doi.org/10.5683/SP3/RCXIBM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    Borealis
    Authors
    Tina Fetner
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    Full, de-identified clean dataset for Sex in Canada project

  2. B

    Canadian historical business data

    • borealisdata.ca
    • search.dataone.org
    Updated May 30, 2025
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    Data Axle (2025). Canadian historical business data [Dataset]. http://doi.org/10.5683/SP3/IPKREG
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 30, 2025
    Dataset provided by
    Borealis
    Authors
    Data Axle
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.5683/SP3/IPKREGhttps://borealisdata.ca/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.5683/SP3/IPKREG

    Time period covered
    2009 - 2023
    Area covered
    Canada
    Description

    Product contains one data file (.csv format) for each year from 2009-2023. Files range from 1.5-2.4 million records per year. Records provide information about business location (address), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities.

  3. B

    Global Media and Internet Concentration Project – Canada – Dataset 2022

    • borealisdata.ca
    • search.dataone.org
    Updated Feb 3, 2024
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    Dwayne Winseck (2024). Global Media and Internet Concentration Project – Canada – Dataset 2022 [Dataset]. http://doi.org/10.5683/SP3/BGQTDG
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 3, 2024
    Dataset provided by
    Borealis
    Authors
    Dwayne Winseck
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    The Canadian contribution and data set prepared as part of the Global Media and Internet Concentration (GMIC) project offers an independent academic, empirical and data-driven analysis of a deceptively simple yet profoundly important question: have telecom, media and internet markets become more concentrated over time, or less? Media Ownership and Concentration is presented from more than a dozen sectors of the telecom-media-internet industries, including film, music and book industries. Note (22/01/2024): Small editorial changes were made throughout the report to clean up and improve the text. Small revisions to the estimates of the internet advertising revenue for some Canadian firms were also made to reflect newly available data. Those revisions were small and have no consequences for the analysis. Figures 1, 23, 25, 37, 40 and 41 were revised to reflect these changes.

  4. d

    Data from: Preserving Research Data in Canada: an update

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Chuck Humphrey (2023). Preserving Research Data in Canada: an update [Dataset]. http://doi.org/10.5683/SP3/XJ32FG
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Chuck Humphrey
    Description

    This presentation provides an update on the status of research data preservation initiatives in Canada.

  5. B

    Predictive maps and related data on organic carbon stocks in surficial...

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 18, 2024
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    Graham Epstein; Susanna D. Fuller; Dipti Hingmire; Paul Myers; Angelica Peña; Clark Pennelly; Julia K. Baum (2024). Predictive maps and related data on organic carbon stocks in surficial sediments of the Canadian continental margin [Dataset]. http://doi.org/10.5683/SP3/ICHVVA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 18, 2024
    Dataset provided by
    Borealis
    Authors
    Graham Epstein; Susanna D. Fuller; Dipti Hingmire; Paul Myers; Angelica Peña; Clark Pennelly; Julia K. Baum
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    This repository contains predictive maps of mud content, carbon content, dry bulk density and organic carbon density in surficial seabed sediments of the Canadian continental margin. These each include the mean predictions as well as the lower and upper uncertainty bounds. Additionally, data are presented from a systematic data review of organic carbon content in seabed sediments across Canada, and from two regional case studies on the influence of the predicted distribution of rock habitats. All the associated code used for data manipulations, model building and predictive mapping are also published herein. Data are organised across five folders. Please see the individual readme files within each folder and the associated published paper for further information.

  6. B

    Indigenous Historical Periodicals Dataset

    • borealisdata.ca
    • search.dataone.org
    Updated Aug 26, 2024
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    Kathryn Ruddock; Laura Reid; Doug Brigham; Matt Kaufhold; Trish Chatterley; Kyla Everall; Lyle Ford; Sheila Laroque (2024). Indigenous Historical Periodicals Dataset [Dataset]. http://doi.org/10.5683/SP3/JGN15S
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 26, 2024
    Dataset provided by
    Borealis
    Authors
    Kathryn Ruddock; Laura Reid; Doug Brigham; Matt Kaufhold; Trish Chatterley; Kyla Everall; Lyle Ford; Sheila Laroque
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is a listing of Indigenous periodicals (newspapers, newsletters, magazines, and journals), arranged by title. It primarily includes material published in Canada, but also encompasses some titles from American states bordering Canada. The scope aims to include publications by Indigenous communities and organizations, and to exclude known material produced by governments and non-Indigenous organizations. The inventory represents known publications across Canada based on sources from OCLC, and known listings of these publications within the community. All items in the list are held in Canadian libraries, archives, and museums. The accuracy of these lists is unknown and not validated by Indigenous communities to our knowledge. The source data lists reflect the work of academic institutions describing the materials in their holdings. Indigenous communities may be listed as the primary creator, but this can only be validated upon investigation with the source materials and with Indigenous communities. The intent is threefold: to promote a list of Indigenous publications, and where they can be consulted or searched; to track digitization work by Canadian institutions and groups and facilitate digitization efforts in collaboration with relevant Indigenous communities; and to enable easy additions to, and corrections of, the list. It is important to note that this is not a search tool for the contents of the publications, but merely an inventory of titles, along with locations of the print and digital holdings. Data headings are Title, Title Family, In Scope, Status, Source of Information, Publisher/Issuing Org., Place of Publication, Province/State, Country, Print Run/Holdings, Notes, ISSN, OCLC Identifiers, Online, Format, Digitization Status, Canadian Repository Holdings, Language. For definitions of the headings, see The Dataset Document Workbook. This list stems from efforts by the Indigenous Historical Publications Working Group, working on behalf of the Council of Prairie and Pacific University Libraries (COPPUL). Input by Indigenous individuals, communities, organizations and publishers, as well as all researchers, libraries, archives, and museums is eagerly sought and welcomed. Please contact us for more information, comments, or to provide updates.

  7. B

    The Canadian Human Footprint

    • borealisdata.ca
    • search.dataone.org
    Updated Apr 8, 2022
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    Kristen Hirsh-Pearson; Chris Johnson; Richard Schuster; Roger Wheate; Oscar Venter (2022). The Canadian Human Footprint [Dataset]. http://doi.org/10.5683/SP2/EVKAVL
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 8, 2022
    Dataset provided by
    Borealis
    Authors
    Kristen Hirsh-Pearson; Chris Johnson; Richard Schuster; Roger Wheate; Oscar Venter
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    Abstract: Efforts are underway in Canada to set aside terrestrial lands for conservation, thereby protecting them from anthropogenic pressures. Here we produce the first Canadian human footprint map by combining twelve different anthropogenic pressures and identify intact and modified lands and ecosystems across the country. Our results showed strong spatial variation in pressures across the country, with just 18% of Canada experiencing measurable human pressure. However, some ecosystems are experiencing very high pressure, such as the Great Lakes Plains and Prairies national ecological areas which have over 75% and 56% of their areas, respectively, with a high human footprint. In contrast, the Arctic and Northern Mountains have less than 0.02% and 0.2% of their extent under high human footprint. A validation of the final map, using random statistical sampling, resulted in a Cohen Kappa statistic of 0.91, signifying an ‘almost perfect’ agreement between the human footprint and the validation data set. By increasing the number and accuracy of mapped pressures, our map demonstrates much more widespread pressures in Canada than were indicated by previous global mapping efforts, demonstrating the value in specific national data applications. Ecological areas with immense anthropogenic pressure, highlight challenges that may arise when planning for ecologically representative protected areas.

  8. B

    2020 Canadian Digital Health Survey

    • borealisdata.ca
    • search.dataone.org
    Updated Jul 26, 2024
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    Canada Health Infoway (2024). 2020 Canadian Digital Health Survey [Dataset]. http://doi.org/10.5683/SP2/URURKC
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 26, 2024
    Dataset provided by
    Borealis
    Authors
    Canada Health Infoway
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.3/customlicense?persistentId=doi:10.5683/SP2/URURKChttps://borealisdata.ca/api/datasets/:persistentId/versions/2.3/customlicense?persistentId=doi:10.5683/SP2/URURKC

    Area covered
    Canada
    Description

    The Canadian Digital Health Survey is a series of surveys conducted annually commissioned by Canada Health Infoway (Infoway) through a third-party vendor. Overall, the main objective of these surveys is to investigate interest and use of digital health technologies nationwide.

  9. B

    Census of Canada Report Locator: 1851-1951

    • borealisdata.ca
    Updated Apr 20, 2015
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    Kelly Durkin; Kyla Everall; Luisa Fisher; Victoria Galvin-Grant; Kathryn Kingston; Joanne Wadden (2015). Census of Canada Report Locator: 1851-1951 [Dataset]. http://doi.org/10.5683/SP3/J75WZI
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2015
    Dataset provided by
    Borealis
    Authors
    Kelly Durkin; Kyla Everall; Luisa Fisher; Victoria Galvin-Grant; Kathryn Kingston; Joanne Wadden
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/J75WZIhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/J75WZI

    Time period covered
    1851 - 1951
    Area covered
    Canada
    Description

    This spreadsheet contains a checklist of Census publications from 1851 to 1951 and provides links to electronic copies found in the Internet Archive when available. The list of reports is taken from the Historical Catalogue of Statistics Canada Publications, 1918-1980 (11-512).

  10. B

    1871 Canadian Census Data

    • borealisdata.ca
    Updated May 22, 2025
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    Kris Inwood; Jeremy Foxcroft (2025). 1871 Canadian Census Data [Dataset]. http://doi.org/10.5683/SP3/WX1AJF
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 22, 2025
    Dataset provided by
    Borealis
    Authors
    Kris Inwood; Jeremy Foxcroft
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/3.2/customlicense?persistentId=doi:10.5683/SP3/WX1AJFhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.2/customlicense?persistentId=doi:10.5683/SP3/WX1AJF

    Area covered
    Canada
    Description

    Canadian census data from 1871.

  11. B

    Canada Food Stats

    • borealisdata.ca
    • dataone.org
    Updated May 5, 2022
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    Statistics Canada (2022). Canada Food Stats [Dataset]. http://doi.org/10.5683/SP3/5NBTTL
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 5, 2022
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/5NBTTLhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/5NBTTL

    Area covered
    Canada
    Description

    Contains food statistics and indicators, including information on per capita food consumption and food prices, nutrition, supply and demand, as well as data on the food industry, processing, employment, productivity, trade and much more. Historical data varies by indicator (many go back to 1976, some as far as 1926).

  12. B

    Methane emissions measurements from Canadian oil and gas sites

    • borealisdata.ca
    • search.dataone.org
    Updated Feb 17, 2022
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    Katlyn MacKay; Martin Lavoie; David Risk (2022). Methane emissions measurements from Canadian oil and gas sites [Dataset]. http://doi.org/10.5683/SP2/I0436P
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 17, 2022
    Dataset provided by
    Borealis
    Authors
    Katlyn MacKay; Martin Lavoie; David Risk
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    2007 - 2021
    Area covered
    Canada, Canada, Canada, Canada, Canada, Canada, Canada, Canada, Canada, Canada
    Dataset funded by
    Petroleum Technology Alliance of Canada
    Atlantic Canada Opportunities Agency
    Description

    An aggregated dataset of methane emission measurements from Canadian oil and gas sites. Measurements were collected between 2007 and 2020, using a variety of techniques and sensors. The dataset consists of both published and unpublished measurements, and includes details such as site and/or component type(s), site location (approximate), measurement date, measurement technique, and quantified rate.

  13. B

    Place Types in Canada based on Aggregate Dissemination Areas

    • borealisdata.ca
    • search.dataone.org
    Updated Dec 10, 2024
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    Sophie Borwein; Jack Lucas (2024). Place Types in Canada based on Aggregate Dissemination Areas [Dataset]. http://doi.org/10.5683/SP3/9C5TU0
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Borealis
    Authors
    Sophie Borwein; Jack Lucas
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    In a research note published in CJPS, we propose a new typology of geographic places for use in advancing Canadian politics research on the political effects of place. We use hierarchical cluster analysis to inductively derive place types from Aggregate Dissemination Areas (ADAs), a fine-grained unit of geography covering all of Canada, newly available from Statistics Canada. Using this approach, we uncover seven distinct place types, adding nuance to earlier more aggregated approaches focused on urban-rural (or urban-suburban-rural) distinctions. Here, we make these data available for other researchers

  14. B

    Canadian Climate Policy Inventory

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 17, 2025
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    Jennifer Winter; William Scott; Alaz Munzur; Katharina Koch; Runa Das; Brett Dolter; Kathyrn Harrison; Christina Hoicka; Amy Janzwood; Andrew Leach; Ross Linden-Fraser; Patrick Lloyd-Smith; Nikita Lyssenko; Julie MacArthur; Heather Millar; Rémi Morin Chassé; Nouri Najjar; Nancy Olewiler; Emily Peden; Charles Séguin; Patrick Withey; Ignacio Aguilar; Chloé Boutron; Orland Clark; Shabnam (Zahra) Edalatnia; Katherine Matos Meza; Josh Medicoff; Rafael Morales-Guzman; Elise Moreau; Edan Pounder; Dylan Rama; Grace Schaan (2025). Canadian Climate Policy Inventory [Dataset]. http://doi.org/10.5683/SP3/SFYABX
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 17, 2025
    Dataset provided by
    Borealis
    Authors
    Jennifer Winter; William Scott; Alaz Munzur; Katharina Koch; Runa Das; Brett Dolter; Kathyrn Harrison; Christina Hoicka; Amy Janzwood; Andrew Leach; Ross Linden-Fraser; Patrick Lloyd-Smith; Nikita Lyssenko; Julie MacArthur; Heather Millar; Rémi Morin Chassé; Nouri Najjar; Nancy Olewiler; Emily Peden; Charles Séguin; Patrick Withey; Ignacio Aguilar; Chloé Boutron; Orland Clark; Shabnam (Zahra) Edalatnia; Katherine Matos Meza; Josh Medicoff; Rafael Morales-Guzman; Elise Moreau; Edan Pounder; Dylan Rama; Grace Schaan
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Canada
    Dataset funded by
    Social Sciences and Humanities Research Council
    Government of Canada
    Description

    This dataset contains a comprehensive and comparable database of Canadian emissions reduction policies across federal, provincial and territorial orders of government. The dataset comprises two database files (both .csv and .xlsx formats) in English and French. Source data is primarily in text format and from a variety of government and non-government sources. These sources include federal biennial reports to the United Nations Framework Convention on Climate Change (UNFCCC); provincial, territorial, and federal climate plans; and past work by Navius Research Inc. and the Canadian Climate Institute to build a Canadian climate policy tracker. Policy information is converted into textual categories in the database according to the codebook developed by the research team and attached to this dataset. Relevant policies are those targeting climate change mitigation (e.g., emissions reductions such as emissions pricing or the Clean Fuel Regulations), and policies to change energy use and sources (e.g., subsidizing renewable energy sources). This database is a project of the Canadian Climate Policy Partnership (C2P2). The goal of C2P2 is to inform smart, coherent and new policy options to meet Canada’s net zero transition by engaging in data-driven research on and analysis of climate policies in Canada, and supporting such activities in a broader network of researchers. For more information on C2P2, please visit the project webpage: https://spp.ucalgary.ca/school-public-policy/research/energy-and-environmental-policy/canadian-climate-policy-partnership-c2p2. The project README file contains further information on data format and versioning practices. Further details about C2P2 and the database can be found in a methodology paper, available in English only, on the Social Science Research Network (SSRN). An abridged methodology document, available in both English and French, is available on PRISM, the institutional repository of the University of Calgary. Both are linked in the Related Publications section of the database metadata.

  15. B

    Data from: Practices Before Policy: Research Data Management Behaviours in...

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 30, 2023
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    Canadian RDM Survey Consortium (2023). Practices Before Policy: Research Data Management Behaviours in Canada Dataset [Dataset]. http://doi.org/10.5683/SP2/8JAEDZ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 30, 2023
    Dataset provided by
    Borealis
    Authors
    Canadian RDM Survey Consortium
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2015 - 2018
    Area covered
    Canada
    Description

    This dataset is the underlining data for the publication "Practices Before Policy: Research Data Management Behaviours in Canada" consisting of data from 13 institutions that ran the surveys. The institutions include: Cape Breton University, École nationale d'administration publique (ENAP), Institut national de la recherche scientifique (INRS), Queen's University, Trinity Western University, Universite du Quebec a Trois-Rivieres, Université TELUQ, University of British Columbia, University of Ottawa, University of Toronto, University of Victoria, University of Waterloo, Western University. This research was conducted by a consortium of Canadian universities who had surveyed researchers to identify research data management (RDM) practices, needs and attitudes.

  16. B

    Replication Data for: Environmental concern within Canada

    • borealisdata.ca
    • search.dataone.org
    Updated Apr 17, 2023
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    Bradley McQueen (2023). Replication Data for: Environmental concern within Canada [Dataset]. http://doi.org/10.5683/SP3/WHXJY9
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2023
    Dataset provided by
    Borealis
    Authors
    Bradley McQueen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    Canadian survey data (n+1,539) collected in 2019 by Shelly Boulianne. Political ideology, knowledge of corporate environmental practices, education. All in relation to environmental concern.

  17. B

    Canadian Gallup Poll, October 1957, #262

    • borealisdata.ca
    • search.dataone.org
    Updated Jun 23, 2023
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    Gallup Canada (2023). Canadian Gallup Poll, October 1957, #262 [Dataset]. http://doi.org/10.5683/SP2/GM1ICM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    Borealis
    Authors
    Gallup Canada
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    This Gallup poll seeks to collect the opinions of Canadians on important political issues, both in Canada and abroad. The major political issues discussed within Canada include prices, defence and unemployment, although lighter issues such as advertising and how spare time is spent are also discussed. Respondents were also asked questions so that they could be classified according to geographic, demographic and social variables. Basic demographics variables are also included.

  18. B

    Conference Board of Canada

    • borealisdata.ca
    Updated Jul 11, 2012
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    Conference Board of Canada (2012). Conference Board of Canada [Dataset]. http://doi.org/10.5683/SP3/GJQ0HF
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 11, 2012
    Dataset provided by
    Borealis
    Authors
    Conference Board of Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/GJQ0HFhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/GJQ0HF

    Area covered
    Canada
    Description

    The Conference Board of Canada is a not-for-profit Canadian organization dedicated to researching and analyzing economic trends, as well as organizational performance and public policy issues. Describing itself as objective and non-partisan, The Conference Board of Canada claims not to lobby for special interests. It is funded through fees charged for services delivered to the private and public sectors alike. The organization conducts, publishes and disseminates research on various topics of interest to its members. It publishes research reports, conducts meetings, holds conferences and provides on-line information services, which aim to develop individual leadership skills and organizational capacity.

  19. B

    Uniform Crime Reporting Survey [Canada] [B2020]

    • borealisdata.ca
    • search.dataone.org
    Updated Sep 28, 2023
    + more versions
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    Statistics Canada (2023). Uniform Crime Reporting Survey [Canada] [B2020] [Dataset]. http://doi.org/10.5683/SP3/6OXWOP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.5683/SP3/6OXWOPhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.5683/SP3/6OXWOP

    Time period covered
    1999 - 2013
    Area covered
    Canada
    Description

    The Uniform Crime Reporting Survey was designed to measure the incidence of crime in Canadian society and its characteristics. The information is used by federal and provincial policy makers as well as public and private researchers.

  20. B

    Canadian Gallup Poll, August 1989, #908_2

    • borealisdata.ca
    • dataone.org
    Updated Jun 23, 2023
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    Gallup Canada (2023). Canadian Gallup Poll, August 1989, #908_2 [Dataset]. http://doi.org/10.5683/SP2/MN4FME
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    Borealis
    Authors
    Gallup Canada
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions on abortion, taxes, smoking habits, government spending, immigration policy, and work week preferences. There are also questions on other topics of interest such as church attendance, preferred measurement for temperature, federal government spending on poorer regions of Canada, province where the respondent spent most of their childhood, and questions related to political party preference. The respondents were also asked questions so that they could be grouped according to geographic, political and social variables. Topics of interest include: Abortion; government taxes; smoking habits; church attendance; government spending; immigration policy; preferred measurement for temperature; political party preference; and province of childhood. Basic demographic variables are also included.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Tina Fetner (2024). Sex in Canada full dataset [Dataset]. http://doi.org/10.5683/SP3/RCXIBM

Sex in Canada full dataset

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 3, 2024
Dataset provided by
Borealis
Authors
Tina Fetner
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Canada
Description

Full, de-identified clean dataset for Sex in Canada project

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