1 to 7 of 7 Results
Sep 26, 2025
Das, Runa; Issac, Jofri, 2025, "Replication Data for Defining, Measuring, and Addressing Energy Poverty: A Canadian Framework", https://doi.org/10.5683/SP3/XE8UGW, Borealis, V1, UNF:6:i5bg6XtzJ/gbwi0utvY1wA== [fileUNF]
This dataset was created as part of the Defining, Measuring, and Addressing Energy Poverty: A Canadian Framework project. A review and analysis of energy-related initiatives that address energy poverty in British Columbia (BC) was conducted. The dataset contains 114 energy-related initiatives from 1989 to 2023. Public listings, databases, and websi... |
May 22, 2025
Irwin, Sean, 2025, "Improving WASH for healthcare facilities and women’s health: Testing the STREAMS approach in Malawi", https://doi.org/10.5683/SP3/TCMXQE, Borealis, V1, UNF:6:e7Ak5dv+0Z4BJJiExXG0tg== [fileUNF]
This data comes from a project funded by the Fund for Innovation and Transformation and Global Affairs Canada titled "Improving WASH for healthcare facilities and women’s health: Testing the STREAMS approach in Malawi". The research sought to test an innovative approach to improving Water, Sanitation, and Hygiene (WASH) in health care facilities in... |
MacArthur, Julie; Tarhan, Derya; Janelle, Karl; Blagogie, Lewis; Argandona, Gladys, 2025, "Replication Data for: Canadian Community and Co-Operative Energy Database (CCED) Co-Operative Energy Map Layers", https://doi.org/10.5683/SP3/ISWGR1, Borealis, V1, UNF:6:CDM57jkmq0Ac7eOBCR8kpw== [fileUNF]
This dataset consists of the tabular data files used to create a database of energy activities led by co-operatives, the Canadian Community and Co-operative Energy Database (CCED). The CCED and the map it enables, the Canadian Renewable Energy Co-operative Map, extends the analysis of energy activities done by Fezulla, Pare, and Parkins' 2024 Canad... |
Hodson, Jaigris; Veletsianos, George, 2021, "Inoculating against an infodemic: microlearning interventions to address CoV misinformation", https://doi.org/10.5683/SP2/DJNPQV, Borealis, V2
The dataset was created as part of the CIHR-funded project, 'Inoculating against an infodemic: Microlearning interventions to address CoV misinformation'. This research examines digital misinformation flows pertaining to the 2020 COVID-19 pandemic for the purpose of developing educational interventions to reduce the spread of online misinformation.... |
Jun 26, 2023
Lokanan, Mark, 2023, "The Morality and Tax Avoidance: A Sentiment and Position Taking Analysis", https://doi.org/10.5683/SP3/6ITXEI, Borealis, V1, UNF:6:PcCTl842dS5P1OtsLHgqYA== [fileUNF]
This dataset consists of textual transcript analysis from the Parliamentary Commission on Banking Standards on tax avoidance in the U.K. The data is used to examines the moral and legal underpinnings of corporate tax avoidance. Cast in terms of a totemic symbol that brand tax avoidance as within the purview of the law, the paper invokes the attribu... |
Oct 5, 2022
Lokanan, Mark, 2022, "Fraud Exploitation", https://doi.org/10.5683/SP3/UMZH4V, Borealis, V1
The purpose of this dataset is to build machine learning classifiers to predict exploitation of securities fraud victims in Canada. The dataset consists of numeric, float, and categorical variables. The dataset also consist of features related to victims’ demographics, financial profile, and investments. This work was done with funding from a SSHRC... |
Sep 28, 2022
Lokanan, Mark, 2022, "Determinants of Investment Fraud", https://doi.org/10.5683/SP3/Q3K08Q, Borealis, V1
This research aims to examine investment fraud cases in Canada by coding cases retrieved from the Investment Industry Regulatory Organization of Canada's website. The dataset consists of features related to enforcement, offenders, and victims and consists of numeric, float, and categorical variables. This research will contribute to understanding i... |
