1 to 10 of 14 Results
Jan 26, 2026
Defries, Danielle; Beltran, Michelle, 2026, "Data for growth factor and pro-inflammatory cytokine levels in response to short chain fatty acid treatment in enteric glial cells", https://doi.org/10.5683/SP3/ZANOIJ, Borealis, V1, UNF:6:Lht9AJzlEzgLjggnev0W7g== [fileUNF]
This is the raw qPCR and Western immunoblotting data set for a manuscript under review titled "Short Chain Fatty Acids Elicit Differential Expression of Growth Factors and Pro-inflammatory Cytokines in Enteric Glial Cells". The manuscript explains and contextualizes how butyrate and propionate modulate mRNA and protein levels of growth factors (gli... |
Dec 10, 2025 - Winnipeg Particle Theory Group
Frey, Andrew; Grehan, Michael; Singh, Prakriti, 2025, "Data for "Holographic Complexity of the Klebanov-Strassler Background"", https://doi.org/10.5683/SP3/XYWDDT, Borealis, V2, UNF:6:C500r8qzCHLDVlE5Xhh+aw== [fileUNF]
Code, data, and plots for "Holographic Complexity of the Klebanov-Strassler Background" (arXiv:2311.18804 [hep-th]; Phys. Rev. D). This dataset contains numerically generated values for several holographic complexity functionals in the Klebanov-Strassler background as a function of large-radius cut-off. Please see the cited paper for details. |
Nov 13, 2025
The Winnipeg Particle Theory Group carries out research in many areas of theoretical particle physics ranging from astroparticle physics to string theory, working under the supervision of Profs. Andrew Frey and Evan McDonough. |
Oct 31, 2025 - Prairie Lab
Otfinowski, Rafael; Robertson, Colleen; Coffey, Victory, 2025, "Leaf traits of dominant plants in northern fescue grasslands in Riding Mountain National Park", https://doi.org/10.5683/SP3/T9AUZE, Borealis, V1, UNF:6:FhgGkog5VS3NvBgzRu5qag== [fileUNF]
Leaf trait measurements of dominant plants of northern fescue grasslands in Riding Mountain National Park (Manitoba, Canada). Trait measurements were collected from naturally growing populations and relate to the leaf traits of dominant plants of northern fescue grasslands from historic vegetation inventories. Data serve to model changes in communi... |
Oct 28, 2025 - Prairie Lab
Otfinowski, Rafael; Robertson, Colleen; Coffey, Victory, 2025, "Grassland plant community cover and composition in Riding Mountain National Park", https://doi.org/10.5683/SP3/RUWQP9, Borealis, V1, UNF:6:9iVHwvgbpH8IazycIC11Ig== [fileUNF]
Vegetation inventory data from Riding Mountain National Park (Manitoba, Canada). Frequency data of vascular flowering plants from inventories of 33 permanent transects. Inventory years: 1973, 2010, 2020). Data serve to evaluate the composition and health of northern fescue grasslands. |
Oct 28, 2025
This collection is dedicated to the research data produced by the Prairie Lab at The University of Winnipeg. Prairie Lab Website |
Sep 8, 2025 - Water Quality Lab
Bartel-Ens, Tia; Casson, Nora, 2025, "Soil Dissolved Organic Matter Optical Properties", https://doi.org/10.5683/SP3/FHVQNJ, Borealis, V1, UNF:6:Ok5uv5Bt/REFQYTjdw3nrw== [fileUNF]
Soil samples were taken across a boreal forested watershed, in order to analyze the optical properties of soil dissolved organic matter (DOM), using absorbance and fluorescence. Such analysis could give a more thorough understanding into the molecular and chemical composition of the DOM, and its subsequent influence on surrounding systems. Water ex... |
Sep 3, 2025
The overall goal of this SSHRC Partnership project is to move forward the ongoing work of reclaiming Indigenous languages, histories, and knowledges among the Asiniskaw Īthiniwak (Rocky Cree), work that is taking place now in the context of the calls to action by the Truth and Reconciliation Commission of Canada (2015) for, among many other things,... |
Aug 21, 2025
|
Jul 17, 2025
Vickers, Shannon, 2025, "Voicing Creativity Podcast: Voicing Creative Research", https://doi.org/10.5683/SP3/F5DIH5, Borealis, V2
The Voicing Creativity Podcast showcased creative research and scholarship from leading Artists and Humanities Scholars across Canada. This podcast consisted of 9 episodes, 7 participant interviews and was published in 2022 via Apple Podcasts. |
