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

Highly fluorescent aerosol particle and fungal DNA data collected in Pallas from April to September 2023

Gratzl, Jürgen ; Grothe, Hinrich
2025-03-25 Dataset Open
Station information: Data was recorded at Sammaltunturi Station (67.9733°N 24.1157°E) at 564 m above sea level in the Pallas Atmosphere-Ecosystem Supersite in the sub-Arctic region of Finnish Lapland. Instruments were connected to a heated total suspended particles (TSP) inlet.  Data recorded...
aerosols
bioaerosols
fungal spores
ice nulceating particles
aerobiology
eDNA
sub-Arctic
Earth and related environmental sciences
Uploaded on March 27, 2025

Element concentrations in water, soil and sediment samples from the Wulka River catchment

Kittlaus, Steffen ; Milačič Ščančar, Radmila ; Kozlica, Katarina ; Weber, Nikolaus ; Zessner-Spitzenberg, Matthias ; Zoboli, Ottavia
2025-03-26 (1.0.0) Dataset Embargoed
Content The dataset contains the concentration of multiple elements in water samples taken during high-flow events in the Wulka River and two of its tributaries, and sediment and soil samples from its catchment. Context and methodology This dataset accompanies a publication where details...
water quality
sediment quality
soil quality
pollution
river
flow event
Wulka River
Uploaded on March 26, 2025

Data for "Two-particle calculations with quantics tensor trains -- solving the parquet equations"

Rohshap, Stefan ; Ritter, Marc K. ; Shinaoka, Hiroshi ; von Delft, Jan ; Wallerberger, Markus ; Kauch, Anna Katarzyna
2025-03-13 Dataset Open
This data repository contains the original figures, numerical (raw) data and plot scripts to reproduce the figures from the publication "Two-particle calculations with quantics tensor trains -- solving the parquet equations" at Physical Review Research. The preprint is available on arXiv....
Uploaded on March 14, 2025

Dataset supporting publication: "Remote-sensing based control of 3D magnetic fields using machine learning for in-operando applications".

Cascales Sandoval, Miguel Angel
2025-03-10 (1.0.0) Dataset Open
About the dataset This dataset supports a study where precise 3D magnetic field control is achieved using a hexapole electromagnet system combined with a multi-layer perceptron neural network. The work demonstrates how the neural network enables to calibrate non-linear field responses when...
Physical sciences
Uploaded on March 13, 2025