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.
Recent uploads
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
Philippon, Maxime ; Schnitzer, Sebastian ; Seiringer, Maximilian ; Windsperger, Anton
2026-05-27 (1.0.0) Dataset Open
This dataset contains the final output artifacts and diagnostic figures generated during the "Crash Severity Prediction for Emergency Dispatch" experiment. Developed for the Data Stewardship 2026 (Part 3) course, this project models road collision severity (categorized as Slight, Serious, or...
Road Safety
Traffic Accidents
Collision Severity
STATS19
Emergency Dispatch
Machine Learning
Random Forest
Classification
Uploaded on June 26, 2026
Hamza, Ameer ; Akhtar, Haseeb ; Revay, Matus ; Vandák, Gregor
2026-06-04 Data Management Plan Open
This record contains the final Data Management Plan (DMP) and machine-actionable DMP (maDMP) for the project "Analyzing the Connection Between Financial Earnings and Life Satisfaction in EU countries", submitted as part of the TU Wien Data Stewardship course 2026. The project analyses the...
Held, Johannes ; Gerez, Kyzer ; Zakaryan, Gevorg ; Ahmad, Habib
2026-05-30 (2.0.0) Data Management Plan Open
The Final Data Management Plan (DMP) and machine-actionable DMP (maDMP) represent the comprehensive documentation of the 'Predicting Urban Traffic Congestion' project’s data lifecycle. Following the RDA DMP Common Standard 1.2, these deliverables provide a formal, interoperable record of the...
Logan, Charles ; El Dib, Yehea ; Höfinger, Balthasar ; Hardt, Julian
2026-05-30 (2.0) Data Management Plan Open
DMP: UK Collision Severity Prediction Predicting the severity of road traffic collisions in the United Kingdom using the Department for Transport's STATS19 open data (2020–2024). Project context Developed as part of the FAIR Data Science course (DaSt 2026) at TU Wien. Abstract The UK government...
Civil engineering
Computer and information sciences
Uploaded on June 1, 2026
