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

CS4SEHAG - Historical terrestrial images

Mikolka-Flöry, Sebastian ; Simböck, David
2026-04-01 Dataset Open
Within the CS4SEHAG project we developed a citizen science app to engage citizens into the documentation of high-alpine regions. To drive (initial) engagement, we estimated the position and orientation of over 100 historical terrestrial images from the AKON postcard portal of the Austrian...
Photogrammetry
Monoplotting
Historical terrestrial images
Uploaded on August 27, 2026

No Wolf in the Meadow (NWM)

Batik, Tobias ; Marin, Diana ; Kán, Peter ; Kaufmann, Hannes
2026-08-11 Dataset Open
No Wolf in the Meadow (NWM) is a real-world outdoor image dataset of a flood control system in Vienna, Austria. The site covers approximately 100 × 200 meters and includes weir and flood control structures built from stone, wood, steel, and concrete, multiple river branches, and surrounding...
Computer and information sciences
Uploaded on August 24, 2026

Time-resolved RNA-seq of Escherichia coli BL21(DE3) during different transition strategies from fed-batch to induced-fed-batch

Elshazly, Mohamed ; Gisperg, Florian ; Klausser, Robert ; Přáda Brichtová, Eva ; Kopp, Julian ; Spadiut, Oliver
2026-08-13 Dataset Restricted
This dataset contains time-resolved paired-end RNA-seq data from Escherichia coli BL21(DE3) cultivated under two process strategies: R2/A (instant_nofeed) and R3/B (ramp). Five matched process stages (T1–T5) were sampled for both strategies, covering the end of fed-batch cultivation through 6...
Industrial biotechnology
Natural sciences
Differential Expression Analysis
Recombinant Protein Production
Inclusion Body
Uploaded on August 20, 2026

Conversational Recommender Systems Using Generative Models (Gen-CRS): Literature Review

Wagne, Ahmadou ; Kolb, Thomas Elmar ; Banerjee, Ashmi ; Nazary, Fatemeh ; Neidhardt, Julia ; Deldjoo, Yashar
2026-08-15 Dataset Open
Description This dataset contains a curated list of 49 research papers focused on Conversational Recommender Systems using Generative Models (Gen-CRS). The collection covers publications from 2018 to 2025 and reflects the rapid evolution of generative approaches in conversational recommendation...
Computer and information sciences
Conversational Recommender System
Generative AI
LLM
Uploaded on August 16, 2026