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
 

Communities in RDSpace@UBT

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Recent Submissions

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Research DataOpen Access
Database of Lithium-Ion Battery Aging: Degradation Modes, Electrode Resistance Rise, and Impedance
(2026-06-25) Hofmann Tobias; Sayilgan Cem; Duesdieker Marco; Hamar Jacob; Sturm Johannes; Erhard Simon; Jossen Andreas; Schmidt Jan Philipp
Accurate modeling of lithium-ion batteries (LiBs) benefits from detailed knowledge of degradation modes (DMs) and electrode impedance rise, information that is currently unavailable as an open-access dataset. This work presents a comprehensive three-electrode NMC-graphite LiB aging study conducted over nine months, including eleven checkups. Each checkup comprises pseudo-open-circuit voltage measurements, hybrid pulse power characterization, and electrochemical impedance spectroscopy at varying states of charge and temperature. The published dataset not only includes raw data but also provides labels and evaluation scripts for DMs, electrode resistance, impedance, and equivalent circuit model parameters. This dataset is poised to accelerate the development of advanced battery models and fast-charging strategies and can serve as a robust validation dataset for data-driven models. Notably, this dataset is the longest-lasting and most comprehensive, including three-electrode configurations, making it an invaluable resource for researchers and engineers in the field of battery technology.
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Data for "Fresh and degraded maize shoot and root residues temporarily change soil hydraulic properties"
(2026-03-18) Leuther, Frederic
In a laboratory study, we quantified the effect of maize crop residues (CR) in various concentrations (0, 2, and 5 wt.%) on the SHP of a loam soil and additionally measured the SHP of a mulch layer (100 wt.% CR) from saturation to oven dryness. We differentiated between shoot and root CR to quantify the effect of biomass quality and adapted the simplified evaporation method to measure the hydraulic properties of 100% CR layer. The experiments were run in triplicate and repeated after three weeks of incubation under optimal conditions for biological activity (30 °C, 90% RH) to simulate organic matter degradation after harvest. This dataset contains soil hydraulic measurements taken pre and post-incubation.
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