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 on servers in Vienna, Austria.

The repository uses persistent identifiers and synchronises with data hubs such as DataCite, OpenAIRE, BASE, and search services like Google Dataset Search. 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

Scala vestibuli prostheses - Comsol, python, and Neuron model

Fellner, Andreas ; Rattay, Frank ; Wenger, Cornelia
2025-09-26 Model Open
Scala vestibuli prostheses - Comsol, python, and Neuron model Cochlear implants (CI)s belong to the most efficient neuroprostheses, although their artificially generated neural patterns miss many details seen in the natural code. Therefore, improvement of the quality of the generated neural...
Biological sciences
Computer and information sciences
Engineering and technology
Uploaded on October 8, 2025

Transformer network trained on simulated X-ray photoelectron spectroscopy data for organic and inorganic compounds

Simperl, Florian
2025-10-06 (2.0.0) 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 October 8, 2025

Statistical Error Reduction for Monte Carlo Rendering: Result Images in Lossless PFM Format

Sakai, Hiroyuki ; Freude, Christian ; Wimmer, Michael ; Hahn, David
2025-09-30 Image Open
This dataset contains the main result images (inputs and denoiser outputs) in lossless PFM format (compatible with GIMP 3.0.4 among others) for our paper “Statistical Error Reduction for Monte Carlo Rendering” (https://doi.org/10.1145/3757377.3763995). The directory names for the images...
Monte Carlo rendering
path tracing
denoising
image filtering
statistics
Uploaded on October 1, 2025

Data from PhD thesis by Anna Schmidbauer: "Bio-interactive hydrogels for regenerative medicine"

Baudis, Stefan ; Schmidbauer, Anna
2025-08-18 Dataset Restricted
Context and methodology This data was collected within the framework of the PhD thesis by Anna Schmidbauer. The thesis has been published in TU Wien's reposiTUm as referenced below. The data is currently restricted as it also contains data which might be subject to further exploitation; however,...
Chemical sciences
Hydrogel
Fluorescence imaging
tissue engineering
bone regeneration
bioprinting
photopolymers
Uploaded on September 26, 2025

LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds

Erler, Philipp ; Herzberger, Lukas ; Wimmer, Michael ; SchĂĽtz, Markus
2025-06 Dataset Open
LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds This dataset contains data related to our LidarScout paper at High-Performance Graphics 2025. This paper proposes a method for instantly exploring huge, compressed point clouds (LAZ) without any pre-processing and no extra storage....
Aerial LIDAR
surface reconstruction
neural networks
heightmap
point cloud
Uploaded on September 26, 2025