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

Recent uploads

Data management Plan test

Tabima Romero, Andres Mauricio ; Miksa, Tomasz
2026-10-20 Dataset Open
DMP for test project This is the dmp Context and methodology What is the research domain or project in which this dataset was created? What is the purpose of this dataset? How was this dataset created? Technical details What is the structure of this dataset? Do the folders and files follow a...
data management
Animal and dairy science
Biological sciences
Uploaded on October 20, 2026

DOI Publish Prototype Fixture

Tabima, Andres
2026-09-11 Software Open
Throwaway cookbook used to exercise the doi-publish prototype against the TU Wien Research Data test instance without touching a real cookbook.
Test fixture
Uploaded on September 11, 2026

10GB file for testing of downloads

Moser, Maximilian
2026-07-24 Dataset Open
This is a large file that can be used for testing the download functionality of the repository. The file itself is just random bytes.
random
download test
Uploaded on July 24, 2026

Road Traffic Accident Classification Using Open Government Data

Moghrabi, Muhamad ; Hasan, Mehedy ; Muthineni, Sravanthi ; Scherling, Christopher
2026-05-26 Dataset Open
Generated outputs from a Random Forest classifier trained to predict road traffic accident severity (1=fatal, 2=serious, 3=slight) using the STATS19 North Yorkshire dataset (2009–2013). Contains: test-set predictions (1,672 rows with true/predicted severity labels and class probabilities),...
road traffic accidents
machine learning
severity prediction
STATS19
North Yorkshire
random forest
classification
open science
FAIR data
Uploaded on June 26, 2026