39 datasets found
  1. B

    Canadian Community Health Survey, 2017-2018: Annual Component

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 4, 2025
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    Health Statistics Division (2025). Canadian Community Health Survey, 2017-2018: Annual Component [Dataset]. http://doi.org/10.5683/SP3/EYLZ18
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Borealis
    Authors
    Health Statistics Division
    License

    https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence

    Time period covered
    Jan 2016 - Dec 2017
    Area covered
    Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: - Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; - Provide a single data source for health research on small populations and rare characteristics; - Timely release of information easily accessible to a diverse community of users; - Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians. The survey began collecting data in 2001 and was repeated every two years until 2005. Starting in 2007, data for the Canadian Community Health Survey (CCHS) were collected annually instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. In 2012, CCHS began work on a major redesign project that was completed and implemented for the 2015 cycle. The objectives of the redesign were to review the sampling methodology, adopt a new sample frame, modernize the content and review the target population. Consultations were held with federal, provincial and territorial share partners, health region authorities and academics. As a result of the redesign, the current CCHS has a new collection strategy, is drawing the sample from two different frames and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.

  2. A

    Canadian Community Health Survey - Annual Component (CCHS) 2019-2020

    • abacus.library.ubc.ca
    bin, pdf, tsv, txt
    Updated Jun 17, 2024
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    Abacus Data Network (2024). Canadian Community Health Survey - Annual Component (CCHS) 2019-2020 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml;jsessionid=45a0bfbf74cf64cdba035ffcefbe?persistentId=hdl%3A11272.1%2FAB2%2FDMJPVY&version=&q=&fileAccess=&fileTag=&fileSortField=type&fileSortOrder=
    Explore at:
    bin(295), txt(4479), tsv(173645748), pdf(251656)Available download formats
    Dataset updated
    Jun 17, 2024
    Dataset provided by
    Abacus Data Network
    Time period covered
    2019 - 2020
    Area covered
    Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: * Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; * Provide a single data source for health research on small populations and rare characteristics; * Timely release of information easily accessible to a diverse community of users; * Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians. The survey began collecting data in 2001 and was repeated every two years until 2005. Starting in 2007, data for the Canadian Community Health Survey (CCHS) were collected annually instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. In 2012, CCHS began work on a major redesign project that was completed and implemented for the 2015 cycle. The objectives of the redesign were to review the sampling methodology, adopt a new sample frame, modernize the content and review the target population. Consultations were held with federal, provincial and territorial share partners, health region authorities and academics. As a result of the redesign, the 2015 CCHS has a new collection strategy, is drawing the sample from two different frames and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.

  3. a

    Health Characteristics, Two-year Period Estimates

    • catalogue.arctic-sdi.org
    • ouvert.canada.ca
    • +1more
    Updated Dec 17, 2024
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    (2024). Health Characteristics, Two-year Period Estimates [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?keyword=Health%20care
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    Dataset updated
    Dec 17, 2024
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

  4. A

    Canadian Community Health Survey - Annual Component (CCHS) 2017-2018

    • abacus.library.ubc.ca
    Updated Jun 23, 2020
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    Abacus Data Network (2020). Canadian Community Health Survey - Annual Component (CCHS) 2017-2018 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml;jsessionid=8bfedf1f2c7757a61f8971b579a0?persistentId=hdl%3A11272.1%2FAB2%2FSEB16A&version=&q=&fileTypeGroupFacet=&fileAccess=Public
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    application/x-spss-syntax(213), application/x-sas-syntax(136), pdf(110405), tsv(266744596), bin(41341)Available download formats
    Dataset updated
    Jun 23, 2020
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada (CA), Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; Provide a single data source for health research on small populations and rare characteristics; Timely release of information easily accessible to a diverse community of users; Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians. The survey began collecting data in 2001 and was repeated every two years until 2005. Starting in 2007, data for the Canadian Community Health Survey (CCHS) were collected annually instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. In 2012, CCHS began work on a major redesign project that was completed and implemented for the 2015 cycle. The objectives of the redesign were to review the sampling methodology, adopt a new sample frame, modernize the content and review the target population. Consultations were held with federal, provincial and territorial share partners, health region authorities and academics. As a result of the redesign, the 2015 CCHS has a new collection strategy, is drawing the sample from two different frames and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.

  5. d

    Synthetic: Canadian Community Health Survey, 2009: Sub-Sample File [Canada]

    • search.dataone.org
    Updated Dec 28, 2023
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    Health Statistics Division (2023). Synthetic: Canadian Community Health Survey, 2009: Sub-Sample File [Canada] [Dataset]. http://doi.org/10.5683/SP3/30OXE0
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Health Statistics Division
    Area covered
    Canada
    Description

    Please note: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical packing 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Research Data Centres. The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. Starting in 2007, the CCHS now operates using continuous collection. It is a large sample, general population health survey, designed to provide reliable estimates at the health region level. In order to provide researchers with a means to access the master file(s), a remote access facility has been implemented. Remote access provides researchers with the possibility to submit computer programs via e-mail to a dedicated address (cchs-escc@statcan.ca), and to receive the results by return e-mail. To obtain remote access privileges, it is necessary that researchers obtain advance approval from the Health Statistics Division. Requests must be submitted to the aforementioned e-mail address and must provide the following, clearly itemized information: •the researcher’s affiliation, • the name of all researchers involved in the project, • the title of the research project, • an abstract of the project, • the goals of the research, • the data to which access is required (survey, cycle), • why the project requires access to the master data rather than the PUMF, • why Remote Access service is chosen rather the on-site access in a Research Data Centre (RDC), • the expected results, and • the project’s expected completion date. Further information is available by contacting the CCHS team at the above e-mail address or by phone at (613) 951-1653. Once the request for remote access has been approved, the researcher can submit his/her computer programs to the CCHS team for processing on the master file(s). The computer output is reviewed by the team for confidentiality concerns and returned to the researcher. However, the correctness and accuracy of each program submission remains, at all times, the sole responsibility of the researcher.

  6. B

    Canadian Community Health Survey, 2009-2010: Annual Component

    • borealisdata.ca
    • search.dataone.org
    Updated Mar 4, 2025
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    Health Statistics Division (2025). Canadian Community Health Survey, 2009-2010: Annual Component [Dataset]. http://doi.org/10.5683/SP3/NKIN5W
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Borealis
    Authors
    Health Statistics Division
    License

    https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence

    Time period covered
    2009 - 2010
    Area covered
    Canada
    Description

    The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It surveys a large sample of respondents and is designed to provide reliable estimates at the health region level. In 2007, major changes were made to the CCHS design. Data is now collected on an ongoing basis with annual releases, rather than every two years as was the case prior to 2007. The survey's objectives were also revised and are as follows: support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; provide a single data source for health research on small populations and rare characteristics; timely release of information easily accessible to a diverse community of users; and create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. In addition to the two year PUMF, which has been produced since the survey’s first cycle (Cycle 1.1 - 2000-2001), a one year PUMF has also been introduced for 2010. The CCHS content can be divided into two categories, optional content and common content modules.

  7. d

    Canadian Community Health Survey, 2015-2016: Annual Component

    • search.dataone.org
    Updated Dec 28, 2023
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    Health Statistics Division (2023). Canadian Community Health Survey, 2015-2016: Annual Component [Dataset]. http://doi.org/10.5683/SP3/YJBSEJ
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Health Statistics Division
    Time period covered
    Jan 1, 2015 - Dec 1, 2016
    Area covered
    Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: - Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; - Provide a single data source for health research on small populations and rare characteristics; - Timely release of information easily accessible to a diverse community of users; - Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians. The survey began collecting data in 2001 and was repeated every two years until 2005. Starting in 2007, data for the Canadian Community Health Survey (CCHS) were collected annually instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. In 2012, CCHS began work on a major redesign project that was completed and implemented for the 2015 cycle. The objectives of the redesign were to review the sampling methodology, adopt a new sample frame, modernize the content and review the target population. Consultations were held with federal, provincial and territorial share partners, health region authorities and academics. As a result of the redesign, the 2015 CCHS has a new collection strategy, is drawing the sample from two different frames and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.

  8. The 2008-2022 Total Diet Study Food Consumption Tables (2015 CCHS-Nutrition)...

    • open.canada.ca
    csv, html, txt, xlsx
    Updated Dec 9, 2024
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    Health Canada (2024). The 2008-2022 Total Diet Study Food Consumption Tables (2015 CCHS-Nutrition) [Dataset]. https://open.canada.ca/data/dataset/ac573724-2f77-4f75-a2f4-c416d79cf130
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    txt, xlsx, html, csvAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Health Canadahttp://www.hc-sc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The 2008-2022 Total Diet Study Food Consumption Tables show the daily consumption of each Total Diet Study (TDS) food composite for various age-sex groups. The source for these consumption data is the 2015 Canadian Community Health Survey-Nutrition Component (2015 CCHS-Nutrition). When paired with concentrations of chemical contaminants in each TDS food composite, these consumption data allow the calculation of exposure of the Canadian population to contaminants through food. These consumption values are applicable to the Total Diet Study years 2008 to 2022. For sample years further out from 2015, increasing caution should be used as the 2015 consumption survey data may be less representative of consumption in those years. Food consumption values are available for the total population (consumers and non consumers together) and for consumers only. Data are presented as food consumption in grams per person per day and in grams per 1 kg of body weight per day. Data are disaggregated by 29 age-sex groupings.

  9. The PRO (Public Research Organization) Database. RISIS WP23.3 - Datos...

    • datos.cchs.csic.es
    csv, pdf, txt, xlsx
    Updated Jul 10, 2025
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    CSIC (2025). The PRO (Public Research Organization) Database. RISIS WP23.3 - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/the-pro-public-research-organization-database-risis-wp23-3
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    txt, pdf, xlsx, csvAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    CSIC
    License

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

    Area covered
    http://datos.gob.es/recurso/sector-publico/territorio/Pais/España
    Description

    Built as part of the RISIS.EU project at the Institute of Public Goods and Policies of the Spanish National Research Council (IPP-CSIC), the PROs database provides basic statistical information about a sample of European Public Research Institutions (PROs). The underlying data is not based on information reported in questionnaires filled out by representatives from the institutional units, but it is the result from searching and collecting publicly available data from annual reports and other public data sources as well as freely internet available resources. The information available in this new data platform is presented in the form of a number of variables providing comparable information across institutions with the aim to allow monitoring, analysing and studying the dynamics of PROs in the European research system.

  10. f

    Summary of risk and protective factors for cognitive impairment in the CSHA...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Batholomew Chireh; Carl D’Arcy (2023). Summary of risk and protective factors for cognitive impairment in the CSHA (1991–92) and the CCHS-HA (2008–09) study cohorts and stratified by gender. [Dataset]. http://doi.org/10.1371/journal.pone.0242911.t006
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Batholomew Chireh; Carl D’Arcy
    License

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

    Description

    Summary of risk and protective factors for cognitive impairment in the CSHA (1991–92) and the CCHS-HA (2008–09) study cohorts and stratified by gender.

  11. u

    Health Characteristics, Two-year Period Estimates - Catalogue - Canadian...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Health Characteristics, Two-year Period Estimates - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-91926e39-cb8d-459c-a938-6f71ad2ee573
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

  12. f

    Table_1_Does Gender Moderate the Relationship Between Chronic Pain and...

    • figshare.com
    docx
    Updated Jun 2, 2023
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    Yingying Su; Xiangfei Meng; Carl D'Arcy (2023). Table_1_Does Gender Moderate the Relationship Between Chronic Pain and Substance Use Disorder? Insights From a National Canadian Population Survey.DOCX [Dataset]. http://doi.org/10.3389/fpsyt.2022.799655.s001
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Yingying Su; Xiangfei Meng; Carl D'Arcy
    License

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

    Description

    BackgroundThough it has been shown that men have a higher lifetime prevalence of substance use disorder and a lower prevalence of chronic pain than women, there is little research to date focusing on gender differences in the relationship between chronic pain and substance use disorder. This study examined whether gender moderates the relationship of chronic pain and substance use disorder. We also sought to examine the gender differences in the associations between specific pain types—arthritis, migraine, and back pain, and substance use disorder.MethodsThe data were drawn from the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH 2012) with individuals aged 20 years and older living in the 10 Canadian provinces (N = 23,089). A two-level logistic mixed effects model was used to account for provincial differences.ResultsOur findings indicated gender moderated the association between arthritis as well as migraine, and substance use disorder. However, no moderation effect of gender on the relationship between back pain and substance use disorder was found. Specifically, the strength of the association between arthritis and substance use disorder was stronger among men (ORinteraction = 0.62, 95% CI: 0.53 to 0.73), whereas the strength of the association between migraine and substance use disorder was stronger among women (ORinteraction = 1.45, 95% CI: 1.18 to 1.79). In addition, geographical location was found to explain a small proportion (2.3%-2.4%) of the overall variance in SUD.ConclusionsThe results suggest that gender moderated the relations between arthritis as well as migraine, and substance use disorder, respectively. Treatment programs for pain and substance misuse might benefit from an approach tailored to gender differences.

  13. News and altmetric data derived from the WoS publication of the CSIC Society...

    • datos.cchs.csic.es
    csv, txt
    Updated Apr 16, 2025
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    CSIC (2025). News and altmetric data derived from the WoS publication of the CSIC Society area (2017-2021) - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/groups/c8bc1de8-6be5-4eef-8fce-10c44185febd
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    txt, csvAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    CSIC
    License

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

    Area covered
    http://datos.gob.es/recurso/sector-publico/territorio/Pais/España
    Description

    This dataset is composed of two datasheet. The first (Altmetric_Data_SCH_CSIC_Publication.csv) includes altmetric data of publications in Web of Sciences of researchers belonging to the area of Society of Spanish National Research Council (CSIC) for the period 2017-2021. The second datasheet (News_Data_SCH_CSIC_Publication) provide the data on the characteristics of the news collected in Altmetrics.com from the same publications. Both sheets are linked via the ‘News ID’ field.

  14. CLAROS. Concordance of Greek inscriptions - Datos abiertos CCHS

    • datos.cchs.csic.es
    html
    Updated May 9, 2025
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    CSIC (2025). CLAROS. Concordance of Greek inscriptions - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/claros-concordancia-de-inscripciones-griegas
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    htmlAvailable download formats
    Dataset updated
    May 9, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    CSIC
    License

    http://www.dge.filol.csic.es/claros/cnc/cnc.htmhttp://www.dge.filol.csic.es/claros/cnc/cnc.htm

    Description

    The purpose of the CLAROS database is to facilitate the search for new editions and translations of Greek inscriptions that have appeared in the last century. It is intended to be of use both to specialists in Greek epigraphy and to historians, linguists and philologists in general, who are less accustomed than the former to navigating the bibliographical jungle that this discipline has become. Developed by researchers from the Greek-Spanish Dictionary team with the aim of aiding the task of revising the epigraphic material included in the Dictionary, the latest version contains more than 605,000 bibliographical concordances from more than 1,000 collections of Greek inscriptions.

  15. f

    Sample size, response rates and demographic information for CCHS cycles 2.1,...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Nicholas J. Birkett (2023). Sample size, response rates and demographic information for CCHS cycles 2.1, 3.1 and 4.1. [Dataset]. http://doi.org/10.1371/journal.pone.0093412.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nicholas J. Birkett
    License

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

    Description

    Sample size, response rates and demographic information for CCHS cycles 2.1, 3.1 and 4.1.

  16. f

    Analysis of sociodemographic and lifestyle characteristics across quartile...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Alena (Praneet) Ng; Mahsa Jessri; Mary R. L’Abbe (2023). Analysis of sociodemographic and lifestyle characteristics across quartile categories of the energy-dense, high-fat and low-fiber density (“obesogenic”) dietary pattern score generated from wPLS, and the simplified dietary pattern score (SDS) among Canadian adults from CCHS-Nutrition 2015 (n = 12,049). [Dataset]. http://doi.org/10.1371/journal.pone.0255415.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Alena (Praneet) Ng; Mahsa Jessri; Mary R. L’Abbe
    License

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

    Area covered
    Canada
    Description

    Analysis of sociodemographic and lifestyle characteristics across quartile categories of the energy-dense, high-fat and low-fiber density (“obesogenic”) dietary pattern score generated from wPLS, and the simplified dietary pattern score (SDS) among Canadian adults from CCHS-Nutrition 2015 (n = 12,049).

  17. CONTRIBUTIONS TO THE STUDY OF THE ANIMAL HIDE-SHAPED GOLD “AMULET-PENDANTS”...

    • datos.cchs.csic.es
    pdf
    Updated Jul 19, 2025
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    CSIC (2025). CONTRIBUTIONS TO THE STUDY OF THE ANIMAL HIDE-SHAPED GOLD “AMULET-PENDANTS” FROM THE CASTROS CULTURE - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/groups/6b3e3e22-294d-4a97-bc84-99fdfc6f6abe
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    pdfAvailable download formats
    Dataset updated
    Jul 19, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    CSIC
    License

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

    Area covered
    http://datos.gob.es/recurso/sector-publico/territorio/Pais/España
    Description

    SEM-EDS analysis of the animal hide-shaped gold "amulet pendats" group from the castros culture (Suppl. Material)

  18. Survey 'Scientific Culture, Perception and Attitudes towards Science and...

    • datos.cchs.csic.es
    pdf, txt
    Updated Apr 16, 2025
    + more versions
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    CSIC (2025). Survey 'Scientific Culture, Perception and Attitudes towards Science and Innovation in the Spanish Business Sector' - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/encuesta-cultura-cientifica-percepcion-y-actitudes-ante-la-ciencia-y-la-innovacion-en-el-sector
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    txt, pdfAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    CSIC
    License

    http://hdl.handle.net/10261/223009http://hdl.handle.net/10261/223009

    Area covered
    http://datos.gob.es/recurso/sector-publico/territorio/Pais/España
    Description

    The ‘Scientific Culture at Enterprises’ (SCe) project aims to identify the different factors that characterize the image of science held by entrepreneurs and business managers, explore the relationships among these factors, and shed light on the role they play in defining this image and ultimately in developing a culture of science in the business sector. This dataset includes the raw data of the survey 'Scientific Culture, Perception and Attitudes towards Science and Innovation in the Spanish Business Sector', carried out with a specially designed telephone survey questionnaire of a representative sample of Spanish companies.

  19. The European Qur’an. Islamic Scripture in European Culture and Religion...

    • datos.cchs.csic.es
    json, txt
    Updated Apr 16, 2025
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    CSIC (2025). The European Qur’an. Islamic Scripture in European Culture and Religion 1150-1850 (EuQu) - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/groups/1d0f7776-699a-4512-a6c3-606298f235e7
    Explore at:
    json, txtAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    CSIC
    License

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

    Description

    The European Qur’an. Islamic Scripture in European Cultures and Religion 1150-1850 (EuQu) is a research project (2019-2025 that aims to explore the ways in which the Islamic Holy Book is embedded in the intellectual, religious and cultural history of Medieval and Early Modern Europe. This research studies how the Qur’an has been translated, interpreted, adapted and used by Christians, European Jews, freethinkers, atheists and European Muslims in order to understand how the Holy Book has influenced both culture and religion in Europe. EuQu is an ERC Synergy project formed by a consortium led by the Spanish National Research Council (CSIC); the University of Naples L’Orientale (UNO); the University of Copenhagen and the University of Nantes (UN).

  20. legati-misiones-diplomaticas-hispanomusulmanas-1492-1708 - Datos abiertos...

    • datos.cchs.csic.es
    pdf, txt, xlsx
    Updated Apr 16, 2025
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    Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC) (2025). legati-misiones-diplomaticas-hispanomusulmanas-1492-1708 - Datos abiertos CCHS [Dataset]. https://datos.cchs.csic.es/en/dataset/legati-misiones-diplomaticas-hispanomusulmanas-1492-1708
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    txt, pdf, xlsxAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC)
    License

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

    Description

    Legati is a collaborative dataset recording every diplomatic mission (in a broad sense) exchanged between Spanish and Muslim authorities during the Early Modern Age (1492-1708). Actors, places, involved authorities and results are identified. As these contacts are peculiar to the requirements of classical diplomacy, special attention is paid to the criteria for the choice of actors, the accreditations they carried, the ceremonial or confessional problems they faced, and the issues of material and immaterial culture that emerged. Finally, the bibliography and sources are listed in detail to serve as a basis for future research.

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Health Statistics Division (2025). Canadian Community Health Survey, 2017-2018: Annual Component [Dataset]. http://doi.org/10.5683/SP3/EYLZ18

Canadian Community Health Survey, 2017-2018: Annual Component

Explore at:
11 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 4, 2025
Dataset provided by
Borealis
Authors
Health Statistics Division
License

https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence

Time period covered
Jan 2016 - Dec 2017
Area covered
Canada
Description

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: - Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; - Provide a single data source for health research on small populations and rare characteristics; - Timely release of information easily accessible to a diverse community of users; - Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians. The survey began collecting data in 2001 and was repeated every two years until 2005. Starting in 2007, data for the Canadian Community Health Survey (CCHS) were collected annually instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007. In 2012, CCHS began work on a major redesign project that was completed and implemented for the 2015 cycle. The objectives of the redesign were to review the sampling methodology, adopt a new sample frame, modernize the content and review the target population. Consultations were held with federal, provincial and territorial share partners, health region authorities and academics. As a result of the redesign, the current CCHS has a new collection strategy, is drawing the sample from two different frames and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.

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