PublicData.fdm.uni-wuppertal.de

Research data repository of the University of Wuppertal

Photo by Torsten Rathmann
 

Communities in DSpace

Select a community to browse its collections.

Recent Submissions

Item
A three-dimensional computer-generated reconstruction of the bedrock beneath the Church of the Holy Sepulchre in Jerusalem
(University of Wuppertal, 2026-05-26) Siegel, Holger, https://orcid.org/0009-0002-1265-4629
This research project is focused on the digital reconstruction of the underground structures surrounding the Church of the Holy Sepulchre in Jerusalem, based on the extensive work of the Jerusalem architect and researcher Conrad Schick (1822–1901). The starting point is, in particular, the documents PEF/SCHICK/154 and PEF/SCHICK/203 preserved in the archives of the Palestine Exploration Fund, in which Schick recorded his findings on the topography, geology, and development of the area, gathered between 1862 and 1898. By creating a three-dimensional computer model, these historical sources are to be systematically mapped in space for the first time and made available for contemporary research. Over decades, Schick observed archaeological excavations, construction projects, and infrastructural interventions in the vicinity of the Church of the Holy Sepulchre, documenting in particular the course of the natural bedrock, ancient water systems, and underground structures. His investigations range from early surveys within the Church of the Holy Sepulchre and adjacent monasteries to detailed cross-sections and plans of the entire subsurface of the neighbourhood. The project combines this historical data with 20th-century archaeological findings, particularly from the work of Virgilio Corbo, Shimon Gibson and Joan E. Taylor, to expand, refine, and critically review the model. The goal is not to create a definitive reconstruction, but to develop an open, expandable research tool. In doing so, it reflects both the methodological limitations of historical surveys and the challenges of interpolated terrain models. Despite unavoidable inaccuracies, the virtual model offers the opportunity to visually represent complex spatial relationships beneath the densely built-up Old City of Jerusalem for the first time and to enable new research questions regarding historical topography and the location of ancient Golgotha. The resulting vertex mesh model is deliberately designed as a flexible, expandable foundation and can be supplemented or corrected in the future with new archaeological data. The project therefore sees itself as a contribution to basic digital research and to the sustainable provision of historical and archaeological information for the international research community.
Item
An exploratory expert survey on requirements for the design of a digital learning environment for vocational learning in the field of GPS
(University of Wuppertal, 2026) Sersch, Alina; Sauder, Christian
This exploratory expert survey examines requirements for the design of a digital learning environment for vocational learning in the field of Geometrical Product Specifications (GPS). As part of the early development phase it targets experts from vocational schools, industry, and higher education and was conducted in May 2026.
Item
Truck travel times on freeway facilities in Germany in 2019 based on FCD
(2025) Schlott, Marian, https://orcid.org/0000-0002-2840-4854; Lateef, Abdul; Leerkamp, Bert; Alvi, Rafay
The datasets enable a temporal and spatial analysis regarding truck travel times on German highways for the year 2019. You can find further information in the attached method report.
Item
Swift Sustainability through large-scale Music Events? – Measuring the Importance of Sustainability and Social Participation for Members of Gen Z and others based on Taylor Swift Concerts in Gelsenkirchen, Germany
(2026-02-03) Vickus, Leonie; https://orcid.org/0009-0004-2574-5559; Dietze, Julian; https://orcid.org/0009-0008-3514-6022; Hanau, Annika; https://orcid.org/0009-0003-3018-2626; Keil, Andreas; https://orcid.org/0009-0000-2699-9869
Large-scale music events increasingly serve as important drivers of event tourism and urban visibility while also raising expectations regarding sustainability and social responsibility. This study explores how attendees of Taylor Swift’s The Eras Tour concerts in Gelsenkirchen, Germany, perceived sustainability-related measures, social participation, and destination-related impacts. Drawing on a large-scale quantitative survey of concert visitors (N = 8,816), the analysis focuses on general patterns of attitudes and perceptions. The findings indicate broad support for sustainability principles among attendees and a generally positive evaluation of the host city as part of the event experience. However, perceptions of sustainability measures and their relevance varied only moderately across different audience segments, suggesting that sustainability is widely accepted but not a primary differentiating factor in the overall event experience. Overall, the study underscores the role of mega music events as multifaceted tourism phenomena that combine cultural experience, feeling of social affiliation, and sustainability considerations, but also shows the limited access to such events, most specifically because of ticket availability and pricing. The results offer practical implications for event organizers and destination managers seeking to balance visitor experience, sustainability ambitions, and realistic behavioral impacts.
Item
SOZIUS – Förderung sozialer Integration durch Kooperatives Lernen für die inklusive Unterrichts- und Schulentwicklung
(University of Wuppertal, 2026-01-29) Huber, Christian, https://orcid.org/0000-0003-1793-4080; Weber, Simone, https://orcid.org/0000-0003-2533-0666; Hank, Corinna, https://orcid.org/0000-0002-2108-0543
The dataset was obtained in a longitudinal intervention study investigating the effects of cooperative learning in improving social acceptance of excluded children in primary school classrooms. N = 889 children and N = 39 classes participated in the project. The intervention included units of cooperative learning on a daily basis, which the teachers were trained for. The dataset comprises the measurements of class climate, perceived social integration, attitudes towards children with special educational needs and sociometric date concerning acceptance and rejection by peers as well as reciprocal relationships with peers. The dataset was composed by four measurements of time (1st – before the teachers’ training regarding cooperative learning, 2nd – before intervention, 3rd – after intervention/post, 4th – follow up (2 months later)) to document.