Welcome to TU Wien Research Data

TU Wien Research Data 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 TU.it.

The repository uses persistent identifiers and synchronises with data hubs: DataCite, OpenAIRE, and BASE. Thus, it maximizes the visibility of the uploaded content. TU Wien Research Data is also listed in FAIRsharing and re3data - registries many funders refer to.

Recent Uploads

The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna

Gogousou, Ioanna
2024-06-04 (1.0.0) Dataset Open
The data and code scripts used for the analysis in the paper entitled "The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna", submitted to AGILE 2024.It comprises three folders within the zip file:Data: Contains the datasets for the analysis.Code: Includes script...
Uploaded on April 18, 2024

Road Network Mapping from Multispectral Satellite Imagery: Leveraging Deep Learning and Spectral Bands

Hollendonner, Samuel ; Alinaghi, Negar ; Giannopoulos, Ioannis
2024-04-10 (1.0.0) Software Open
Road Network Mapping from Multispectral Satellite Imagery: Leveraging Deep Learning and Spectral BandsSubmitted to AGILE24AbstractUpdating road networks in rapidly changing urban landscapes is an important but difficult task, often challenged by the complexity and errors of manual mapping...
Uploaded on April 16, 2024

LongEval 2024 Test Collection

Fink, Tobias ; Piroi, Florina ; Galuščáková, Petra ; Devaud, Romain ; Gonzalez-Saez, Gabriela ; Iommi, David ; Mulhem, Philippe ; Goeuriot, Lorraine ; Popel, Martin ; El-Ebshihy, Alaa
2024-04-16 (v2) Dataset Open
The collection consists of queries and documents provided by the Qwant search Engine (https://www.qwant.com). The queries, which were issued by the users of Qwant, are based on the selected trending topics. The documents in the collection were selected with respect to these queries using the...
Uploaded on April 16, 2024

LongEval 2024 Train Collection

Fink, Tobias ; Piroi, Florina ; Devaud, Romain ; Galuščáková, Petra ; Gonzalez-Saez, Gabriela ; Iommi, David ; Mulhem, Philippe ; Goeuriot, Lorraine ; Popel, Martin ; El-Ebshihy, Alaa
2024-04-11 (1.0.0) Dataset Open
The collection consists of queries and documents provided by the Qwant search Engine (https://www.qwant.com). The queries, which were issued by the users of Qwant, are based on the selected trending topics. The documents in the collection were selected with respect to these queries using the...
Uploaded on April 12, 2024