TU Wien Research Data Repository

Share your research. Grow its impact. Keep it safe for the future.

Our institutional platform enables you, as a TU Wien researcher or affiliated partner, to manage and publish your data and code with ease. Every upload is assigned a DOI and a usage license, ensuring compliance with the FAIR principles and funder requirements. You remain in control of your data, deciding whether to share it openly, restrict access to selected collaborators, or keep it private until you're ready. Throughout the process, you'll benefit from the personal support of our dedicated repository team.

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Recent uploads

Measurement dataset and analysis code for "Measurement-Driven Modeling of End-to-End Latency in an Indoor Private Standalone 5G Network"

Bodur, Osman ; Çağlayan, Sami ; Demir, Neslihan ; Poszvek, Günther ; Bleicher, Friedrich
2026-09-01 (1.0.0) Dataset Open
This record contains the measurement data and analysis code underlying the article "Measurement-Driven Modeling of End-to-End Latency in an Indoor Private Standalone 5G Network" (MDPI Network). Context and methodology. End-to-end latency and throughput were measured in the private standalone 5G...
private 5g
standalone 5G
indoor network
end-to-end latency
latency modeling
network measurement
iPerf
metrology
5G testbed
TDD
measurement dataset
Uploaded on September 3, 2026

MALDI-TOF-MS spectra for "Validation of a MALDI intact cell mass spectrometry workflow for routine application in monitoring industrial E. coli fermentations"

Zanetti, Cristian ; Marchetti-Deschmann, Martina
2026-09-03 Dataset Open
Context and methodology Research domain: Process Analytical Technologies, applications of MALDI-TOF on monitoring/development of bioprocesses Dataset was obtained via MALDI-TOF-MS (UltrafleXtreme, Bruker) analysis of intact E.coli from fermentation samples. Technical details Dataset structure:...
Mass Spectrometry
MALDI
Process Analytical Technologies
Uploaded on September 3, 2026

Parallel SDO and SDOclust: Evaluation Experiments

Iglesias Vazquez, Felix ; Lampert, Julian
2026-08-25 Software Open
Parallel SDO and SDOclust: Evaluation Experiments   Context and methodology This repository accompanies the paper Closing the Effectiveness–Scalability Gap in Distributed Unsupervised Learning and contains the experimental data and results used to evaluate parallel versions of SDO and SDOclust...
clustering
anomaly detection
parallelization
distributed systems
Uploaded on August 31, 2026