The University of Waterloo Dataverse Collection is a multidisciplinary data repository for the research outputs of Waterloo faculty, students, staff, and affiliated researchers. Files are held in a secure environment on Canadian servers through Borealis. Researchers can choose to make content available to the public, to specific individuals, or to keep it private.


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1 to 10 of 235 Results
Mar 23, 2026
Strack, Maria; Kangro, Ryan, 2026, "Ebullition measurements and supporting data from a calcareous fen in southern Ontario", https://doi.org/10.5683/SP3/IEEVNH, Borealis, V1, UNF:6:nR/KyaEgPdIdk1PLnJ9nRQ== [fileUNF]
Field measurements of methane emission via ebullition from Fletcher fen in southern Ontario. Data from an associated greenhouse experiment investigating the role of plant community on ebullition is also included. Additional methodological details are in the README file.
Mar 18, 2026 - UeIL Group
Netzke, Sam; Viernes, Christian; Pichugin, Kostyantyn; Keramati, Sam; Jiang, Jiayang; Miller, R. J. Dwayne; Sciaini, German, 2026, "Reassessing the Practical Resolution Limits in Compact Ultrafast Electron Diffraction", https://doi.org/10.5683/SP3/ASBLTQ, Borealis, V1
Ultrafast Electron Diffraction (UED) is a powerful tool for probing atomic-scale dynamics with femtosecond temporal resolution and ångström-level spatial precision. It enables direct observation of structural changes in non-equilibrium systems, including photoinduced transformations, phase transitions, and chemical reactions. While large-scale MeV...
UeIL Group(University of Waterloo)
Mar 6, 2026
Mar 4, 2026
Pope, Michael; Aldhafeeri, Tahani; Ozhukil Valappil, Manila; Pennings, Joel, 2026, "Supporting information - Laser-Induced Carbonization of MnO2-Bioresin Composites for Stable Air Cathodes in Alkaline Zn-Air Batteries", https://doi.org/10.5683/SP3/HO6LER, Borealis, V1, UNF:6:d3WYISRcLpYzPz1Dc961Cg== [fileUNF]
This is supporting data for a paper titled Laser-Induced Carbonization of MnO2-Bioresin Composites for Stable Air Cathodes in Alkaline Zn-Air Batteries
Mar 4, 2026
Alexander J. Douglas; Barb Katzenback, 2026, "The Rana sylvatica skin-secreted antimicrobial peptide (AMP) gene repertoire highlights broader patterns in anuran AMP evolution", https://doi.org/10.5683/SP3/Z950RC, Borealis, V1, UNF:6:ZMNoWsooZUtsTwjbitmvVw== [fileUNF]
Transcriptome and mass spectrometry data for "The Rana sylvatica skin-secreted antimicrobial peptide (AMP) gene repertoire highlights broader patterns in anuran AMP evolution"
Feb 27, 2026
Kagaya, Michiyo; Suleiman, Fatima K.; Cardoso, Ana Paula Domingos; McDermid, Joseph R.; Daun, Kyle J., 2025, "Connecting surface microstructure to the radiative properties of galvannealed steel", https://doi.org/10.5683/SP3/SYEPY8, Borealis, V2, UNF:6:sGA7dbesiLH5RfsEGzMuVw== [fileUNF]
The data repository for all numerical data presented in the journal paper "Connecting surface microstructure to the radiative properties of galvannealed steel".
Feb 19, 2026 - Rodney Smith Dataverse
Smith, Rodney; Hogan, Úna E.; Voss, Herbert B.; Bec, Avery E.; Feng, Xinyi, 2025, "Replication Data for: Raman Spectra for Plastics Identification (RaSPI) and Raman Maps for Plastics Identification (RaMPI) Research", https://doi.org/10.5683/SP3/8UQQQN, Borealis, V3, UNF:6:OLqfdPP0c7yVGLmGXX/xow== [fileUNF]
Plastics pollution is a pervasive global issue and machine learning (ML) is gaining traction as a means to facilitate plastics monitoring. The significant interest in Raman spectroscopy in this field is impacted by high variability in publicly available Raman spectra and classification labels. To address this, we provide a collection of 402 high-re...
Jan 26, 2026
Suleiman, Fatima, 2026, "Conditional emissivity prior for improved Bayesian pyrometry estimates of advanced high strength steel", https://doi.org/10.5683/SP3/MB9OON, Borealis, V1
This dataset contains the experimental measurements from annealing DP980, DP780 and IF steel samples, as well as the MATLAB code for obtained from predicting the steel temperature using a Bayesian Pyrometry model with a conditional emissivity prior. All the data collection and analysis procedures are detailed in the accompanying paper.
Jan 22, 2026
Orr, Christopher; Denault, Andrew; Chan, Sander; O'Garra, Tanya, 2025, "Global dataset of factors influencing city climate action", https://doi.org/10.5683/SP3/NCMQEN, Borealis, V2, UNF:6:9j4yzWuP35Fy25tFbyYGnw== [fileUNF]
This is a replication dataset for a global systematic review of factors influencing city climate action. Data includes paper- and factor-level data on geography, methods, strength of influence, and focus on climate adaptation, mitigation, or both.
Dec 19, 2025
Ardhendu Bhattacharya; Cyrus Yau; Kyle Daun, 2025, "Estimating Oxide Layer Thickness of Austenitized Al-Si Coated 22MnB5 Steel Using Ex-Situ Reflectance Spectra", https://doi.org/10.5683/SP3/69VMQN, Borealis, V1, UNF:6:XgML67Bvt2pVfyOKTZ63jw== [fileUNF]
Dataset describing the estimation of oxide layer growth on austenizited aluminized steel and related surface phenomenon.
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