Search

University of Windsor Dataverse Logo
Replication data for: Canadian Members of Parliament, 1997 - 2011 Restricted content
Angela Papanicolopoulou — 2013-01-10 Demographic data on all members of the 36th through 41st Parliaments of Canada (electoral years 1997-2011). Data collected from sources including Parliament of Canada web site (http://www.parl.gc.ca/), Census of Canada (for riding information) together with considerable original coding by study author. Members of Parliament are coded for age, ethnic origin, pre-political occupation(s), education, and marital status (at time elected). In addition they are coded for socio-economic status and occupational prestige following various recognized schemas (following R. Bibby, Guppy et al, Porter, etc.) Further information on coding will be available in the dissertation when published.
University of Windsor Dataverse Logo
#IdleNoMore Tweets 2013
Richez, Emmanuelle; Raynauld, Vincent; Morris, Katie Boudreau — 2019-01-17 The dataset comprises tweets with at least one hashtag #IdleNoMore that appeared on Twitter’s public timeline from January to July of 2013. The dataset includes the following: the date and time of the tweet, the author of the tweet, the geographical location of the author when the tweet was posted (when available), the content of the tweet, the language of the tweet, the source of the tweet, the hashtags (other than #IdleNoMore) present in the tweet, and the hyperlink imbedded in the tweet. This dataset should be used in conjunction with “INM Mobilization Tweet Coding Rubric” in order to code for the following elements: 1) the structure of the tweet, 2) the function of the tweet, and 3) the mobilization objectives of the tweet.
University of Windsor Dataverse Logo
House of Commons Oral Questions
Richez, Emmanuelle; Raynauld, Vincent; Agi, Abunya — 2019-01-25 The dataset comprises questions that were inquired orally at the House of Commons of Canada during Question Period from December of 2011 to November of 2013. The dataset should be used in conjunction with “House of Commons Oral Questions – Codebook” to code for the following: 1) the speaker to be the inquirer or the respondent, 2) the political caucus affiliated to the speaker, 3) the section of the question period, 4) the topic of the transcript, 5) the mention of Idle No More movement, and 6) the timeline of the transcript using the Idle No More movement as the referent point.
University of Windsor Dataverse Logo
100-year flooding line for Essex Region Restricted content
Essex Region Conservation Authority — 2013-08-13 ERCA Maximum Observed Flooding Flood levels observed due to ice jamming in Feb 1985. They were staked and serveyed by ERCA staff where the observed flood levels surpassed the 1:100 yr flood line. In some cases, these levels are above the Hurricane Hazel flood levels. Source: Deliniation of areas with maximum observed flooding for specific events. Does not include the Harrow flood of 1989. Data created by Geordon Harvey (ERCA) ~ 2000. Licensed to faculty, staff and students at the University of Windsor only. All others please contact the Essex Region Conservation Authority.
University of Windsor Dataverse Logo
Windsor School Catchment Boundary Files
Craig, Andrea — 2019-10-22 This dataset consists of the school catchment boundaries for elementary and secondary schools for the Greater Essex County District School Board and the Windsor Essex Catholic District School Board. The files are in shapefile format (.shp) which is intended for GIS (Geographic Information Systems) purposes.
University of Windsor Dataverse Logo
Human Rights Tribunal Decisions on Transportation and Disability Discrimination in Canada: 1976 to 2016
Jacobs, Laverne — 2017-07-21 Human Rights Tribunal Decisions on Transportation and Disability Discrimination in Canada: 1976 to 2016 This dataset accompanies the article, Laverne A. Jacobs. "The Universality of the Human Condition: Theorizing Transportation Inequality Claims by Persons with Disabilities in Canada, 1976-2016" (2018) Canadian Journal of Human Rights Vol. 7 Iss. 1, available at: http://works.bepress.com/laverne-jacobs/4/ . The author thanks Stephanie Skinner (JD/MSW’15) for her superb research assistance, as well as all the research assistants who helped to collect and organize the data, for their excellent and careful work: Alicia Maiuri, Mackenzie Falk, Chandima Karunanayaka, Seana Chin, Mattie-Marie Eansor Bornais, Horia Tabatabaei Soltani and Cameron Taylor. The author is also grateful for the assistance of University of Windsor librarians, Annette Demers and Kristi Thompson, and staff, Michelle Briden and Connie Beaudoin. This research was supported by grants from the Fulbright Foundation and the Social Sciences and Humanities Research Council of Canada.

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 1000 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.

(Source Repository: University of Windsor Dataverse)

Limit by:

Clear all

to