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 with both consistent design and consistent population representation 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.

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).

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.

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.

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.

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

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).

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.

Pearson correlation coefficients between food predictors1 which loaded significantly in the wPLS model (i.e. loading factor ≥|0.17|); response variables in the energy-dense, high-fat and low-fiber density (“obesogenic”) dietary pattern generated from the wPLS model; the simplified dietary pattern score (SDS); and total scores for the 2015 DGAI among Canadian adults from CCHS-Nutrition 2015 (n = 12,049).

Mental health outcomes, by childhood sexual abuse, using CEVQ-SF CSA for BCHCP sample and CCHS-CSA measure for WE Study sample.

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.

The Ethnic and Migrant Minorities (EMM) Survey Registry is a free online tool that allows users to search for and learn about existing quantitative surveys undertaken with EMM (sub)populations conducted in 34 European countries, from 2000 onwards, through compiled survey-level metadata. The first version was produced by a team led by CEE (Sciences Po, CNRS) and jointly funded through the COST Action 16111 – ETHMIGSURVEYDATA (a network of more than 200 European researchers active in the ethnic and migration studies field), the Horizon 2020 infrastructure project SSHOC (within Task 9.2 on Ethnic and Migration Studies, within Work Package 9 on Data Communities) and the project FAIRETHMIGQUANT (an Open Science project funded by the French Agence Nationale de la Recherche, ANR). This specific record includes the metadata for 1,915 survey records as .dta, .sav and .csv files published on the Registry, as of 15.10.2024.

Weighted mean daily intake of food predictors1 which loaded significantly (i.e. loading factor ≥|0.17|) across quartile categories of 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).

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.

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.

Characteristics of the study sample, distribution of multimorbidity by factors, and odds ratio for the association between sociodemographic and lifestyle characteristics and multimorbidity.

Results from the logistic regression of multimorbidity for adults aged 35 and above allowing significant interactions.

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).

Marcos Jiménez de la Espada (1831-1898) was a prominent Americanist historian who participated in the Pacific Scientific Commission (1862), an expedition to study the American landscape and enrich Spanish museums. Throughout his career, he held important positions and received numerous awards for his work.

The initial collection was probably deposited in 1936 in the library of the Center for Historical Studies of the Board for the Expansion of Scientific Studies and Research. The archive was housed there through the personal efforts of his son, Gonzalo Jiménez de la Espada, a teacher trained at the Free Institution of Education. As a collaborator of the Board for the Expansion of Studies (JAE), he had an office in the building of the Center for Historical Studies (CEH) at the outbreak of the Civil War. When he left Madrid during the war, this archive remained in its premises and was possibly divided into several sections. In 2010, this archive became part of the Archive of the Center for Human and Social Sciences, part of the Tomás Navarro Tomás Library.

The textual collection, comprising working notes, correspondence, and drafts of scientific and historiographical articles, was attached to the Marcelino Menéndez Pelayo Center Library and used by various researchers during the second half of the 20th century, suffering successive losses. The iconographic collection was hidden in a duplicate room, reappearing in 1995. In 2002, six boxes of documents from this collection were identified among the Manuscript Collection files of the General Library of Humanities.

This archive, with 2,455 records, contains textual material (correspondence, newspapers, working notes, originals and publications, invitations, official documents, and diaries) and iconographic material (photographs, plates, and drawings). It covers the following subjects: Anthropology of Native Americans, American Art and Architecture, American Fauna and Flora, Scientific Commission for the Pacific, Commission for the Study of the Boundaries between Venezuela and Colombia, Geography and History of the Americas, Natural History, and Vocabularies of Native Americans.

Two datasets are shared containing information corresponding to the Marcos Jiménez de la Espada Archive, housed at the Archive of the Center for Human and Social Sciences of the CSIC (CCHS-CSIC) in the Tomás Navarro Tomás Library. The selected data were obtained through queries performed on ALMA, the library management system currently used by the CSIC. The files "MJE_Ejemplares_bibliografico_completo.xlsx" and "MJE_Ejemplares_bibliografico_completo.csv" contain the combined bibliographic and item data for this archive. Both files contain the same information in two different formats for easy reuse.

Pearson correlation coefficients between components of the 2015 DGAI1; 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).