Welcome to TU Wien Research Data

TU Wien Research Data is an institutional repository of TU Wien to enable storing, sharing and publishing of digital objects, in particular research data. It facilitates the funders' requirements for open access to research data and the FAIR principles by making research output findable, accessible, interoperable and re-usable. It is developed by the TU Wien Center for Research Data Management and hosted by Campus IT.

The repository uses persistent identifiers and synchronises with data hubs: DataCite, OpenAIRE, and BASE. Thus, it maximizes the visibility of the uploaded content. TU Wien Research Data is also listed in FAIRsharing and re3data - registries many funders refer to.

Recent Uploads

Transformer Network trained on Simulated X-ray photoelectron spectroscopy data for organic and inorganic compounds

Simperl, Florian
2025-06-26 (1.0.0) Dataset Restricted
Dataset Description This data repository provides the underlying data and neural network training scripts associated with the manuscript titled "A Transformer Network for High-Throughput Material Characterisation with X-ray Photoelectron Spectroscopy" by Simperl and Werner.  All data files are...
Neural Network
X-ray Photoelectron Spectroscopy
Monte Carlo Simulation
Uploaded on June 30, 2025

Gambling on Reconfigurable Intelligent Surfaces

Schwarz, Stefan
2025-06-30 (v1.0.0) Software Open
Gambling on Reconfigurable Intelligent Surfaces - Python Implementation This code implements the techniques described in: "Gambling on Reconfigurable Intelligent Surfaces", Stefan Schwarz, IEEE Communications Letters, 2024, Volume: 28, Issue: 4, DOI: 10.1109/LCOMM.2024.3360477   Please cite this...
Uploaded on June 30, 2025

Test Case Results from "A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy"

Key, Fabian
2025-06-24 Dataset Open
This dataset contains the test case results from the publication "A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy". Context and methodology The dataset was created within the context of computational mechanics, specifically in the field of solution...
Computational Mechanics
Elasticity
Stress Function
B-splines
Uploaded on June 26, 2025

Portfolio & Showroom

Klaura, Andrea Ida Malkah ; Mayer, Philipp
2025-06-23 Presentation Open
Folien zur Präsentation von Portfolio & Showroom bei der Cluster Forschungsdaten Expo 2025. Portfolio & Showroom sind ein von der Universität für Angewandte Kunst Wien entwickeltes Open Source CRIS, inklusive öffentlicher digitaler Ausstellungsfläche der künstlerlisch-wissenschaftlichen Arbeiten.
Uploaded on June 25, 2025