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TU Wien Research Data (Test Instance) 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.

a cloud surrounded by a circle of arrowsNew upload Submit your data and metadata step-by-step. three people watching a presentation with a plus on the sideCommunities Create a dedicated space for your team, project, or field of research. database and wifi signal symbols in a circleAPI & Automation Find guidance on connecting with virtual environments and accessing REST API documentation. text next to a magnifierFAQ & Upload guide Got questions? Our FAQ has the answers.

Recent uploads

Water Quality Classification Model Lithuanian Lake Monitoring

Rajeevan, Anusree ; Rajeevan, Anusree ; Varghese Johnson, Joel ; Kodiyan Paul, Felix ; Varughese Mathew, Ashwin
2026-05-28 (1.0) Model Open
Random Forest Classifier trained to predict water quality class (Good/Moderate/Poor) of Lithuanian lakes based on 11 physicochemical measurements. Trained on National Lakes Monitoring Data by Aplinkos apsaugos agentūra. Achieves  91.9% accuracy. Developed for TU Wien Data Stewardship course...
Computer and information sciences
Uploaded on May 29, 2026

very important research dataset

Lai, Ka Yee Suvini
2026-05-28 Dataset Metadata-only
A primer on your dataset's description (to be edited)The influence of proper documentation on the reusability of research data should not be underestimated!In order to help others understand how to interpret and reuse your data, we provide you with a few questions to help you structure your...
Uploaded on May 28, 2026

workshop tuwrd 2026

Tsepelakis, Sotirios ; Miksa, Tomasz
2026-05-06 Dataset Open
Context and methodology This dataset was created as part of the "Urban Climate Resilience" research project, conducted at the Department of Environmental Sciences, University of Example. The project aims to study temperature and humidity variations in metropolitan areas to better understand the...
Earth and related environmental sciences
Uploaded on May 6, 2026

Uploads of one score sheet and a presentation

Moser, Maximilian
2026-04-21 Dataset Restricted
A description   Note that the data is under a CC By 4.0 license and the code is under a GPL compatible license   This data set is supplement to Paper ABC .. doi.org-
Data Stewards
Chemical engineering
Clinical medicine
Uploaded on April 28, 2026