TU Data Repository

Welcome to TU Data Repository

TU Data Repository is an institutional service 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. This service is developed by the TU Wien Center for Research Data Management and hosted by TU.it.

Please note that this service is still under development and has limited functionality. We will add more functionality as development progresses.

Recent Uploads

Materials of Erasmus+ TrainRDM Open Science training week

Gheorghe, Dana ; Negru, Catalin ; Ciobanu, Radu ; Dobre, Ciprian ; Bohan, John ; Ayala-Rivera, Vanessa ; Bradford, Michael ; Riccio, Andrea ; Ciaccia, Paola ; Di Giovancarlo, Cristina ; Jaber, Samah ; Sanchez Solis, Barbara ; Stork, Christiane ; Harder, Elise
2022-06-15 Presentation Open
Presentations, video recordings and exercises of the TrainRDM Open Science train-the-trainer week. The event was held at TU Wien, Vienna, from 30 May to 3 June 2022. AcknowledgementTrainRDM – Open Science and Research Data Management Innovative and Distributed Training Programme has been funded...
Open Science
Uploaded on June 15, 2022

The Sentinel-1 Global Backscatter Model (S1GBM) - Polar Extension

Bauer-Marschallinger, Bernhard ; Cao, Senmao ; Navacchi, Claudio ; Freeman, Vahid ; Reuß, Felix ; Geudtner, Dirk ; Rommen, Björn ; Vega, Francisco Ceba ; Snoeij, Paul ; Attema, Evert ; Reimer, Christoph ; Wagner, Wolfgang
2022-05-19 (1.0) Dataset Open
This dataset was generated by the Remote Sensing Group of the TU Wien Department of Geodesy and Geoinformation (https://mrs.geo.tuwien.ac.at/), within a dedicated project by the European Space Agency (ESA). Rights are reserved with ESA. Open use is granted under the CC BY 4.0 license.With the...
Uploaded on May 18, 2022


Kusa, Wojciech ; Alexander, Daria ; de Vries, Arjen P.
2022-04-22 (1.0.0) Dataset Open
ORCAS-I is an annotated version of ORCAS dataset (Craswell et al., 2020) annotated with user intents using weak supervision. It allows you to train your algorithm on various types of user intents. Those intents are initially taken from Broder's (2002) classification: informational, navigational...
Computer and information sciences
information retrieval
intent labelling
weak supervision
click data
Uploaded on April 22, 2022

FAIR for Sensitive Data

Mayer, Rudolf ; Sarcevic, Tanja ; Ekaputra, Fajar J. ; Waltersdorfer, Laura ; Ekelhart, Andreas ; Miksa, Tomasz ; Sendera, Gerald
2022-03-29 (1.0) Presentation Open
Materials (presentations and video) of the online webinar FAIR for Sensitive Data, organized by the FAIR Office Austria on March 23, 2022.The goal of the webinar was to inform researchers on technical and legal aspects and hands-on practices when working with sensitive data. The workshop...
Medical and health sciences
Uploaded on March 29, 2022

RT-Percept Sun Temple

Cardoso, Joao Afonso
2022-03-24 Dataset Open
Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sun Temple scene. Generated using the RT-Percept renderer and the RT-Percept scenes.
Uploaded on March 25, 2022