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2020-03-18 The principal behind the Crime Severity Index (CSI) was to measure the seriousness of crime reported to the police year to year by Statistics Canada. A CSI Data Table for Canada, provinces, territories, and Census Metropolitan Areas is available in Table 35-10-0026-01 (since 1998). Additional CSI Data Tables at the provincial (Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia), Territories, and Atlantic provinces are also available since 1998. Data for Crime Severity Index for population over 10000 (CSI_over10000) was first published by Statistics Canada in 2009. However, CSI_over10000 data is not publicly available from Statistics Canada website. For more information on the CSI, see Wallace et al. (2009) "Measuring Crime in Canada: Introducing the Crime Severity Index and Improvements to the Uniform Crime Reporting Survey". Statistics Canada Catalogue no. 85-004-X.
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2021-05-07 Phaeodactylum tricornutum and Thalassiosira pseudonana long-read derived genome assemblies associated with the peer-reviewed article, "Re-examination of two diatom reference genomes using long-read sequencing", published in BMC Genomics.
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2020-02-15 These data were collected through an online panel-based survey. The survey was designed to better understand Canadian beef producers grazing practices (continuous, rotational or adaptive such as Holistic Management, Adaptive Multipaddock or regenerative grazing), their reported well-being, mindsets (management priorities, systems thinking, etc) and demographics. The panel was recruited and run by Kynetec which is a specialist agricultural polling firm, who recruited for the study from their proprietary Canadian Producer Database. The survey was stratified across the four largest beef-producing provinces, roughly proportionally to farm numbers: Alberta (n=85), Saskatchewan (n=45), Manitoba (n=35) and Ontario (n=35). No criteria were applied on the amount of beef production, and respondents could also have other commodities. However, all participants had to be over 18, either the sole or joint decision-maker on their property (not secondary), have beef as part of their gross farm sales in 2018, and they had to graze cattle rather than simply feed them. Participants were rewarded with $25. Confidence interval is estimated at 6.9%.The dataset contains two files: the study questionnaire (text) and survey responses (tabular).
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2020-03-23 Email received from the mailing lists of the four major Canadian political parties with a national presence: Conservative Party of Canada, Liberal Party of Canada, Green Party of Canada, and New Democratic Party. The date range for the emails is from September 2014 to November 2017. Two mailing list subscriptions were made to each political party in 2014, one as a donor ($10 to each party) and one as a non-donor. The emails are provided in 3 formats; the information is the same in each, but is presented differently. - MBOX (can be opened / imported by most email programs, like Thunderbird, Apple Mail, or Outlook). - XML - ZIP file containing the XML file and a translation file (XSLT) that formats the XML file for display in any web browser: unzip the file, and open the XML file in a web browser. Each of the 8 subscriptions - 4 as a donor, 4 as not-a-donor - is provided as a separate file, in each of the 3 formats: for a total of 24 files.
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2020-10-13 This dataverse contains the data for a paper on dung beetle functioning in response to ivermectin residues.
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2020-03-17 This dataset contains the Nova Scotia Fisherman’s Work survey data in SPSS (sav) and text (csv) format, coding of the variables, and selected literature. The survey data has 150 variables and 597 observations.
Dalhousie University Dataverse Translation missing: fr.blacklight.search.logo
2020-03-23 Note: this dataset is replication data for the paper: Kampen, A., Pearson, M., & Smit, M. (2016). Digital Tools and Techniques in Scholarship and Pedagogy in the Social Sciences and Humanities. Technical Report, Dalhousie University. This data is about the adoption, diffusion and use of digital tools and techniques within the social sciences and humanities research communities (Kampen, Pearson & Smit, 2016). The dataset includes a weighted random sampling of 1001 articles (500 from the Social Sciences subject area; 501 from the Arts and Humanities subject area) from original research articles published in academic journals in 2014. These articles were assessed individually for the presence, and nature, of digital tools and techniques used in the research process, particularly collection, analysis, and/or visualization. Each article was also assessed to determine if it belonged to one of the three focus areas identified by the funding agency: Diversity/Inequality/Differences, Environmental studies, and Resilient and innovative societies. Tabular data was recorded based on these assessments; a complete key is included in the Readme file. The tabular data and the bibliography for the sampled articles are included. Data consists of: 1) One tabular data file (CSV) containing, for each citation: - Numeric citation identifier - Metadata (e.g., title, subject areas, granting information) - Digital tools analysis (e.g., Type of digital tool used, name of digital tool, source of digital tool) - Research notes 2) One BibTeX file containing citations for the 1001 articles analyzed (citation identifier matched to CSV id) 3) One PDF file containing the output of the BibTeX file 4) One Readme file containing data description, cleaning techniques, and known remaining issues

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