TU Wien Research Data Repository
Share your research. Grow its impact. Keep it safe for the future. Our institutional platform enables you, as a TU Wien researcher or affiliated partner, to manage and publish your data and code with ease. Every upload is assigned a DOI and a usage license, ensuring compliance with the FAIR principles and funder requirements. You remain in control of your data, deciding whether to share it openly, restrict access to selected collaborators, or keep it private until you're ready. Throughout the process, you'll benefit from the personal support of our dedicated repository team.
Recent uploads
Gokita, Takeaki ; Fernandez-Pacheco Chicon, Amalio
2026-05-24 Dataset Open
About the dataset This dataset accompanies the publication “Magnetization reversal mechanism of double-helix nanowires probed by dark-field magneto-optical Kerr effect”. The dataset contains experimental microscopy images, dark-field magneto-optical Kerr effect (DF-MOKE) measurements,...
Physical sciences
Condensed Matter Physics
Materials engineering
Uploaded on May 28, 2026
Pimenov, Andrei ; Kuzmenko, A. ; Mukhin, A. A. ; Shuvaev, A. ; Szaller, D.
2025-10-20 Dataset Open
File format: "OriginPro" (OriginLab Corporation) Data collected using the BWO-spectrometer "Epsilon" at the TU Wien The file "fig_DA_spectra.opj" contains the frequency dependence of the directional anisotropy spectra. Given is the ratio of the transmission and the difference in phase shift in...
Terahertz
Unidirectional
Metamaterials
Spectroscopy
Uploaded on May 27, 2026
Du, Chunhui ; Lin, Shuyao ; Koutná, Nikola ; Mayrhofer, Paul Heinz
2026-02-06 (1.0) Dataset Open
Supplementary materials of manuscript: Towards nano-mechanical simulations of ceramics containing realistic defects via machine-learning potentials: the example of TiB2 Technical Details: supplementary_materials.pdf -> Supplementary materials of the manuscript MLIP.almtp -> Machine Learning...
Materials engineering
Computer and information sciences
Physical sciences
Uploaded on May 22, 2026
Eßl, Herbert ; Reitner, Matthias ; Kozik, Evgeny ; Toschi, Alessandro
2026-05-21 (1.0.0) Dataset Open
This data repository contains the original figures, numerical (raw) data, scripts that where used to calculate this data, and plot scripts to reproduce the figures from the publication "Origin of misleading convergence in self-consistent many-electron theories: Fundamental aspects and practical...
Physical sciences
Uploaded on May 21, 2026
Freinberger, Lukas
2026-05-15 Dataset Open
Description This repository contains the data supporting the publication “Shape Optimization Using a Neural Implicit Geometry Representation Framework.” Context and methodology This dataset was created in the context of computational engineering shape optimization. The publication investigates a...