Welcome to TU Wien Research Data (Test Instance)
TU Wien Research Data (Test Instance) 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 (Test Instance) is also listed in FAIRsharing and re3data - registries many funders refer to.
Recent Uploads
Ciesielski, Bartosz
2025-11-30 Dataset Open
A primer on your dataset's description Context and methodology This dataset was created for a small research project in the field of sports analytics and research data management, carried out in the course Introduction to Research Data Management at TU Wien. The project investigates whether...
Statistics
Football
Data Science
Uploaded on November 30, 2025
Lakatos, Áron
2025-11-30 Dataset Open
Context and methodology This experiment aims to give an answer how various simmetry breaking techniquesinfluence the run-time and effectiveness of modern SAT solvers. Symmetry breaking is awell-known preprocessing and reasoning strategy that reduces redundant search spaceby identifying and...
Computer and information sciences
Uploaded on November 30, 2025
Reti, Peter
2025-11-28 Software Open
NBA MVP Likelihood Investigator Project Demo This file is a zipped Github repository of an NBA MVP Likelihood Investigator demo project for the Research Data Management Course. It contains source code in the format of Jupyter notebooks, configuration files and the result of the preprocessing...
Sport
NBA
Model
Software
Uploaded on November 30, 2025
Poslednik, Zofia
2025-11-29 (1.0) Dataset Open
Context and Methodology The dataset was created to examine the correlation between a country’s GDP per capita and its annual refined petroleum consumption per capita for the 10 largest countries in the world in 2023. The dataset was generated through the transformation and integration of two...
Social and economic geography
Economics and business
Uploaded on November 30, 2025
Herold, Benedikt
2025-11-27 Dataset Open
Dataset descripton A detailed description is given on data level in a from of README files! Description for "Filter_Difference_Calculation.csv": This file contains the raw and processed power data for the aggregated profile and individual devices. The columns include time in Python datetime...
Pattern Detection
Smart Grids
Electrical engineering, electronic engineering, information engineering
Uploaded on November 29, 2025
