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.

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Deposit research outputs openly, restricted or closed. A landing page provides information on your digital objects, download links, license and persistent identifier.

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Search datasets published by other users.

For any questions regarding this service, please refer to our FAQ and our Upload Guide.

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To get in touch with our team, please visit our 'Contact' page.

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Recent Uploads

Figure data for Publication Trenzinger et al. in Lab Chip 2024

Trenzinger, Christoph ; Kopittke, Caroline ; Kalousková, Barbora ; Šikanić, Nemanja ; Bishara, Marina ; Schütz, Gerhard ; Brameshuber, Mario

2025-04-13 Dataset Open

Description of dataset This dataset includes all necessary information to reproduce the figures from the publication "Microdevice for confinement of T-cells on functionalized bio-interface". DOI: https://doi.org/10.1039/D5LC00248F Article: Microdevice for confinement of T-cells on functionalized...

Physical sciences

Uploaded on July 2, 2025

REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly

Sliwowski, Daniel Jan ; Jadav, Shail ; Stanovcic, Sergej ; Orbik, Jędrzej ; Heidersberger, Johannes ; Lee, Dongheui

2025-04-25 (1.0.0) Dataset Open

REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly 📋 Introduction Robotic manipulation remains a core challenge in robotics, particularly for contact-rich tasks such as industrial assembly and disassembly. Existing datasets have significantly advanced learning in...

Robotics

Manipulation

RobotLearning

ActionSegmentation

AnomalyDetection

PolicyLearning

Uploaded on July 2, 2025

SPRAY – SPuttering simulation via RAYtracing of particles

Brötzner, Johannes ; Burazor Domazet, Benjamin ; Cupak, Christian ; Wilhelm, Richard Arthur ; Aumayr, Friedrich

2025-07-01 Software Open

SPRAY – SPuttering simulation via RAYtracing of particles Python 3 Code for simulation of rough surface sputtering / ion reflection, using repository data from one-dimensional BCA simulations and microscopy image input Independent on lateral / vertical height of image or resolution (as long as...

Uploaded on July 2, 2025

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