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

Elements of Geodetic and Astrometric Very Long Baseline Interferometry

Nothnagel, Axel Gerhard

2025-01-03 (4.2) Text Open

This text is an open tutorial document for educational purposes, e.g., for newcomers to geodetic and astrometric Very Long Baseline Interferometry (VLBI) but also for the specialists wanting to expand their knowledge about topics which are not in their main focus. It is supposed to be a living...

Uploaded on March 10, 2025

Code and training dataset for the publication entitled: "A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications"

Hashemzadeh, Hadi ; Shojaeilangari, Seyedehsamaneh ; Allahverdi, Abdollah ; Rothbauer, Mario ; Ertl, Peter ; Naderi-Manesh, Hossein

2025-02-27 (1.0.0) Dataset Open

Experiment Data & Analysis Overview This repository contains raw data, code and analysis scripts related to experiments performed in the ‘A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications’. The data, code,...

Biological sciences

Uploaded on March 7, 2025

Pielach River research dataset October 2024 - Mapping shallow inland running waters with UAV-borne photo and laser bathymetry

Mandlburger, Gottfried

2025-03-07 (1.0.0) Dataset Open

About the dataset: The data provided in this repository contains laser scans, a water surface model, images, and reference points acquired on Oct, 24-25, 2024 at the Pielach River (Lower Austria). The data consists of UAV-borne topographic and topo-bathymetric 3D LiDAR point clouds, control and...

multimedia photogrammetry

topo-bathymetric laser scanning

water surface mapping

Neural Radiance Fields

full-waveform analysis

Uncrewed Aerial Systems

Uploaded on March 7, 2025

Data Set: The Dark Side of Metal Exsolution: A Combined In-Situ Surface Spectroscopic and Electrochemical Study on Perovskite-Type Cathodes for High-Temperature CO2 Electrolysis

Melcher, Christian

2025-01-16 (1.0.0) Dataset Open

Primer on the dataset This dataset was created as part of research on high-temperature CO₂ electrolysis, specifically investigating the impact of Fe metal exsolution on the performance of perovskite-type oxide electrodes. It is aligned with the field of solid oxide electrochemistry and...

Chemical sciences

Uploaded on March 6, 2025

Imaging Interface and Particle Size Effects by In Situ Correlative Microscopy of a Catalytic Reaction - Dataset

Raab, Maximilian ; Winkler, Philipp ; Zeininger, Johannes ; Rupprechter, Günther

2025-03-04 (1.0.0) Dataset Open

Metadata for the open access publication "Imaging Interface and Particle Size Effects by In Situ Correlative Microscopy of a Catalytic Reaction" (https://doi.org/10.1021/acscatal.3c00060) A complete list of dataset files can be seen in "filelist.txt". The files contain the data that generated...

Catalysis

Rhodium particles

Oscillations

Uploaded on March 6, 2025