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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.

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Deposit research outputs openly, restricted or closed. A landing page provides information on your digital objects, download links, license and persistent identifier.

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For any questions regarding this service, please refer to our FAQ and our Upload Guide.

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To get in touch with our team, please visit our 'Contact' page.

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Recent uploads

DMP:Vienna Traffic Peak Volume Prediction

Siby, Swetha Maria
2026-04-14 Report Open
Context and methodology The aim of this dataset is to look at traffic congestion patterns in Vienna and figure out whether station-level vehicle count data could be used to classify traffic intensity into three categories: Low, Medium, and High. The raw data was taken from data.gv.at, which is...
Uploaded on April 16, 2026

DMP Poodles vs. Pugs as Income Indicators

Angerer, Florian
2026-04-06 Data Management Plan Open
The datasets used in this machine learning experiment, Poodles vs. Pugs as Income Indicators, are publicly available through the Open Government Data portal of the City of Vienna (data.gv.at). This project utilizes two specific datasets: Hunderassen Wien and Durchschnittliches Nettoeinkommen...
Uploaded on April 16, 2026

DMP: Predicting Air Quality Levels in European Cities Using Environmental Data

Raja, Wajahatali
2026-04-12 Dataset Open
This dataset is used for the project “Predicting Air Quality Levels in European Cities Using Environmental Data.” The aim of the project is to analyze environmental indicators and build a machine learning model to classify air quality levels into categories such as Good, Moderate, and Poor. The...
Uploaded on April 16, 2026

DMP : Predicting the Legal Basis of Internet Network Locks in Austria Using Machine Learning

Sharma, Vivek
2026-04-11 Data Management Plan Open
Context and methodology Research Domain: This dataset and DMP were created within the context of the Data Stewardship (DaSt) 2026 course at TU Wien. Purpose: The primary goal is to investigate if the legal basis for internet network locks in Austria—specifically distinguishing between copyright...
Uploaded on April 16, 2026