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 231 Results
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.
Jan 5, 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, V2, UNF:6:fwNzckp7UjLhPGHHsufPXA== [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...
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.
Dec 18, 2025
Ryan H.S. Hutchins; Jeremy G. Leathers; Sherry Schiff; Michael English; Mackenzie Schultz; Jason J. Venkiteswaran; Suzanne Tank; Richard Elgood; Pieter Jan Karel Aukes, 2025, "Dissolved Organic Matter Composition and Environmental Characteristics of Lakes Across a Permafrost Gradient, Northwest Territories, Canada", https://doi.org/10.5683/SP3/5OWKLS, Borealis, V1, UNF:6:FRepVAVfIUe+NiyFVe2dLQ== [fileUNF]
This dataset contains environmental, chemical, isotopic, and molecular-level data used to assess how terrestrial inputs and in-lake processes shape dissolved organic matter (DOM) across a permafrost gradient in the Northwest Territories, Canada. The dataset includes lake water chemistry, shoreline porewater chemistry, stable carbon isotopes (δ¹³C),...
Dec 18, 2025
Mu-An Tsai; Avery Opalka; Magnus Gålfalk; Kyle Daun, 2025, "Implementation of ground-based hyperspectral imaging for methane emission monitoring in landfills", https://doi.org/10.5683/SP3/R6GWH2, Borealis, V1
The following files contain the time-averaged spectral radiance data cube and animations of the contrast-enhanced data cube obtained from hyperspectral measurements. The data in the files are used to write the manuscript titled "Implementation of ground-based hyperspectral imaging for methane emission monitoring in landfills."
Nov 17, 2025 - Ruofei Zheng Dataverse
Zheng, Ruofei; Leon Daniel; Dedi Sutarma; Christian Viernes; Yingfang Ding; Tobiloba Fabunmi; Gerd Bacher; Michael Heuken; Holger Kalisch; Andrei Vescan; Peter Kratzer; Marika Schleberger; Germán Sciaini, 2025, "Defect-Engineered Competition Between Exciton Annihilation and Trapping in MOCVD WS2", https://doi.org/10.5683/SP3/ZDPLRA, Borealis, V1, UNF:6:kwHG8FMn2vRtLgBXGl2Cfw== [fileUNF]
Exciton dynamics critically influence the optoelectronic performance of two-dimensional transition metal dichalcogenides (TMDCs). In large-scale WS2 monolayers grown via metal–organic chemical vapor deposition (MOCVD), intrinsic sulfur vacancies introduce in-gap states that promote nonradiative recombination through defect trapping (DT). Under elev...
Ruofei Zheng Dataverse(University of Waterloo)
Nov 17, 2025
Nov 7, 2025
Kagaya, Michiyo; Suleiman, Fatima K.; Cardoso, Ana Paula Domingos; McDermid, Joseph R.; Daun, Kyle J., 2025, "Ex situ analysis of the radiative properties of galvannealed steel", https://doi.org/10.5683/SP3/SYEPY8, Borealis, V1, UNF:6:anVyWB2OzVSaMQ7LSU4SdQ== [fileUNF]
The data repository for all numerical data presented in the journal paper "Ex situ Analysis of the Radiative Properties of Galvannealed Steel".
Oct 20, 2025
Masters, Benjamin; MacDonald, Ewen N., 2025, "Replication data for variable delay affects conversational turn-taking behavior in the presence of background noise", https://doi.org/10.5683/SP3/P5CXNK, Borealis, V1
This dataset contains audio recordings of conversations from the experiment described in Masters & MacDonald (2025). Data from 15 pairs of participants which held 12 conversations each are included. The conversations took in place in either the presence or absence of background noise, and with or without a delay present between the talkers. The rea...
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