Welcome to RDSpace@UBT

University of Bayreuth's institutional repository for digital research data

RDSpace@UBT is freely accessible on the Internet and all provided metadata can be researched free of charge.
Research data in the repository are permanently freely available worldwide (alongside the accession by search engines, specialist search services, library catalogs, etc.) and can be cited as well as re-used under the specified legal conditions.

RDSpace@UBT offers

  • publication of scientific research data free of charge
  • worldwide and permanent free availability of the published data
  • the citability of published data (by assigning DOIs)
  • increased visibility of and by published data
  • standard retention periods of stored and published data
  • support of Open Access
Aerial view of the University of Bayreuth campusPhoto by University of Bayreuth
 

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Recent Submissions

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Evaluating the Reproducibility of Triboelectric Outputs from Polymer Foils Under Lateral Sliding Motion
(2026-08-31) Mattauch, Philipp; Hilgert, Annika; Orgeldinger, Christian; Tremmel, Stephan; Fischerauer, Gerhard
In this study we investigate the remaining variance of the triboelectric output under controlled process and environmental conditions. We use a lateral sliding configuration with polyimide (PI) and polytetrafluoroethylene (PTFE) foils acting as triboelectric layers against an aluminum (Al) foil. Long-term tests of one hour are conducted followed by a parameter variation of sliding rate and applied normal force. Micrographs of the surface are used to gain a rough estimate for the effective contact area. This data provides the raw measurement data of short-circuit current, acceleration, friction force, normal, force, ambient temperature and relative humidity. In addition, the raw data from the laser scanning microscopy of all specimen prior and after testing are provided.
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Simulation-Assisted Fine-Tuning for Pressure-Pattern Reconstruction from Sparse Impedance Measurements_Data
(2026-08-24T12:53:58Z) Ma, Xiaohu
This data package contains the experimental and simulated electrical impedance data used for the 19-element pressure-pattern reconstruction experiments presented in the article. It also includes the associated experimental dataset for the 42-element sensing system, together with information required to reproduce the impedance preprocessing and feature construction.
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