Queen’s University Dataverse Collection is a multidisciplinary research data repository for the research outputs of Queen’s faculty, students, and staff. Files are held in a secure environment on Canadian servers as part of Borealis infrastructure.

Steps for depositing your research data:

The Research Data Management (RDM) team is available to assist you in preparing your data for deposit, sharing, and preservation. After deposit, the RDM team will review your dataset and follow-up for next steps. For additional information, consult our RDM guide or contact rdm.library@queensu.ca.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 819 Results
Jun 23, 2026 - Canadian Opinion Research Archive (CORA)
Stephenson, Laura B.; Harell, Allison; Rubenson, Daniel, 2026, "Canadian Election Study, 2025", https://doi.org/10.5683/SP4/SSIISF, Borealis, V1, UNF:6:VwmHaXxVagozQxgYtxpY7A== [fileUNF]
The 2025 Canadian Election Study (CES) was conducted to document the attitudes of Canadians during and after the 2025 election. It continues the tradition of Canadian Election Studies started in 1965.
Jun 5, 2026 - UBC Research Data Collection
Oliveira Rodrigues, Bruno; Edocia, Marisa; McDougall, Scott; Take, Andy, 2026, "A preliminary database of rheological parameters and material properties for subaerial mass flow modelling", https://doi.org/10.5683/SP4/FFKK3B, Borealis, V1, UNF:6:if4AmjmqnI2E2u1KwU/VoQ== [fileUNF]
This dataset compiles rheological parameters for debris flows, mud flows, tailings flows, lahars, and related mass movements extracted from 100 publications spanning from 1938 to 2025, covering events across multiple countries. Main parameters include volumetric concentration, yield stress, viscosity, friction coefficient, Voellmy turbulence coeffi...
May 26, 2026
Reddy, Daniel, 2026, "Supplementary Videos for "Microdroplets and Modified Surfaces for Improved Sample Preparation in Microfluidics and Mass Spectrometry"", https://doi.org/10.5683/SP3/LCWZUC, Borealis, V1
This dataset contains supplementary video files associated with a doctoral dissertation (Reddy, D.O.) in analytical chemistry focused on wettability-engineered microfluidic platforms, laser-micromachined surface energy traps, and ambient ionization mass spectrometry. The videos document experimental procedures, droplet confinement behavior, wetting...
May 13, 2026
Bartels, Susan, 2023, "Peacekeeper Perpetrated Sexual Exploitation and Abuse in Democratic Republic of Congo", https://doi.org/10.5683/SP3/MFTXUZ, Borealis, V2, UNF:6:WioTe5rvq3ld6BLamKhh+g== [fileUNF]
Mixed-methods data were collected to examine local community perceptions on interactions between UN peacekeepers and local women/girls in The Democratic Republic of Congo (DRC). Six UN bases in eastern DRC (Kisangani, Bunia, Goma, Kalemie, Bukavu and Beni) were purposively selected based on available data regarding the sizes, troop and police contr...
May 13, 2026
Bartels, Susan, 2026, "Peacekeeper Perpetrated Sexual Exploitation and Abuse in Haiti: A Cross-Sectional Mixed Methods Study", https://doi.org/10.5683/SP3/KJ1YPM, Borealis, V2, UNF:6:oWzYfCs4PorE3pxSnVIwjQ== [fileUNF]
This cross-sectional mixed-methods study used a sensemaking approach, implemented through Cognitive Edge’s SenseMaker® tool, to examine interactions between local women and girls and United Nations Stabilization Mission in Haiti personnel in communities surrounding ten MINUSTAH bases across seven locations in Haiti between June and August 2017. Ind...
May 13, 2026
Bartels, Susan, 2023, "Monitoring of Gender-Based Violence Threats for Venezuelan Refugee/Migrant Women and Girls", https://doi.org/10.5683/SP3/WPBQB3, Borealis, V2, UNF:6:q5gir5AAs5Pteco9pli8Dg== [fileUNF]
We conducted a cross-sectional, mixed-methods study using a ‘sensemaking’ approach with Spryng.io. Over a 12-week period from January to April 2022, female and male self-identified Venezuelan refugees/migrants, aged 14 and older, were invited to participate. Data was collected in Ecuador (Tulcan, Manta, and Huaquillas), Peru (Tumbes, Lima, and Tacn...
Apr 27, 2026
Montgomerie, Robert, 2026, "The enigmatic mating system of White-winged Fairywrens (Malurus leucopterus)", https://doi.org/10.5683/SP3/EUIQQL, Borealis, V1, UNF:6:c49fF3hBpPHrEWSvfKgZpA== [fileUNF]
Data collected in a study of white-winged fairy wrens in 2000 and 2001 in Western Australia.
Apr 27, 2026
Montgomerie, Robert, 2026, "Replication Data for: Seasonal Trends in Sperm Quality in Denmark and Florida", https://doi.org/10.5683/SP3/7JDW59, Borealis, V1, UNF:6:SyCmWSVTh3frG2cOLMiBEA== [fileUNF]
Strong and consistent seasonal variation was observed in the concentrations of progressively motile (grades a and b) sperm in both Denmark and Florida. The concentration of rapidly progressive (grade a) sperm was highest in the warmer months (May-July) and lowest in the colder months (October-March) in both countries, despite climatic and demograph...
Apr 17, 2026
Kessler, Dorothy; McColl, Mary Ann; Wilson, Clarke; Batorowicz, Beata, 2026, "COVID-19: How are we managing? Time use and well-being during the COVID-19 crisis", https://doi.org/10.5683/SP3/Y5HO3K, Borealis, V1, UNF:6:+3cZRgXEzXluI6dmuL8b/g== [fileUNF]
This data set is cross sectional data from a sample of 165 Canadians collected using an on-line survey during the COVID-19 pandemic (November 2020 to February 2021). The survey used time use diary methods to capture activity patterns and measures of well-being.
Apr 8, 2026
Bigelow-Talbert, Kristen, 2026, "Experiences of Traumatic Childbirth in VT and NH", https://doi.org/10.5683/SP3/CA3AMN, Borealis, V1, UNF:6:k9tahyi58N4ztyMQ4/aj0g== [fileUNF]
A collection of 9 interview transcripts of mothers who had traumatic childbirth experiences in either Vermont or New Hampshire, United States. This dataset does not include any analysis or findings from the original study.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.