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.

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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

Development of spectroelectrochemical microscopy for the real-time study of electrochemical surface processes

Olgiati, Matteo ; Valtiner, Markus

2025-12-19 Dataset Open

The material contained in this dataset exclusively relates to the data presented and generated for publication in npj Materials Degradation with the title "Development of spectroelectrochemical microscopy for the real-time study of electrochemical surface processes". Please refer to the...

Physical sciences

Chemical sciences

Uploaded on December 22, 2025

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

Wagne, Ahmadou ; Kolb, Thomas Elmar ; Banerjee, Ashmi ; Nazary, Fatemeh ; Neidhardt, Julia ; Deldjoo, Yashar

2025-11-25 (1.0.0) 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 December 22, 2025

Tracebot In-Gripper

Weibel, Jean-Baptiste ; Vincze, Markus

2025-12-18 Dataset Open

Context and methodology This dataset was created to investigate pose refinement methods of transparent objects when held by a gripper. The aim is to quantitatively evaluate the performance of various methods in that context. We collected diverse data for the investigation, including glass and...

Uploaded on December 20, 2025

Data supporting: Thin concrete-timber-composite floors reinforced with basalt textile

Leitner, Simon ; Leitner, Patrick

2025 Dataset Open

Full dataset behind the paper Thin concrete-timber-composite floors reinforced with basalt textile (DOI: 10.2749/tokyo.2025.3115) Technical Details Refer to ReadMe.txt

Civil engineering

refurbishment

timber-concrete composite

textile-reinforced concrete

FRP reinforcement

dowel beam ceiling

Uploaded on December 18, 2025

Dataset Evaluating Human–Machine Collaboration through a Comparative Analysis of Experts, Machine Learning, and Hybrid Approaches in Real Estate Valuation

Navratil, Gerhard ; Kmen, Christopher ; Giannopoulos, Ioannis ; Kattenbeck, Markus

2025-12-10 Dataset Open

Dataset description The dataset was collected to support controlled experiments evaluating the predictive performance and efficiency of different residential property valuation approaches. Specifically, it enables a direct comparison between an AI-based price prediction model, human real estate...

Computer and information sciences

Economics and business

Engineering and technology

Uploaded on December 17, 2025