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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Now showing 1 - 2 of 2

Recent Submissions

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Research DataOpen Access
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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Professorship
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Research DataRestricted
Telemetry-Based Operational Dataset for Condition Monitoring of Digitally Configurable DC/DC Converters
(2025-12) Andreas Federl (https://orcid.org/0000-0002-4381-2653); Markus Böhmisch; Valentin Sagstetter; Gerhard Fischerauer; Robert Bösnecker
This dataset contains time-resolved telemetry data acquired from a digitally configurable DC/DC converter supplying a mechatronic demonstrator system with dynamic load behavior. The data were recorded under controlled laboratory conditions and are intended for research on telemetry-based condition monitoring, embedded machine learning (TinyML), and sensorless load classification. In addition to the raw telemetry signals, the dataset includes features derived from the telemetry data. These features are directly applicable to telemetry-based condition monitoring, embedded machine learning (TinyML), and sensorless load classification tasks.
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Didactics
Digital Teaching and Learning & Didactics of Computer Science
Digitales Lehren und Lernen Lehrkräfte aller Fächer brauchen Kompetenzen zur Auswahl und zum Einsatz digitaler Medien im Unterricht, um diese gewinnbringend und mit Mehrwert für den Lehr-Lern-Prozess einsetzen zu können. Daneben steht das Thema "Digitalisierung" in allen Unterrichtsfächern auch selbst im Fokus. Um dem Thema gerecht zu werden, benötigen alle Lehrkräfte medienbezogene informatische, mediendidaktische und medienbildende bzw. medienerzieherische Kompetenzen. Wir entwickeln, erproben und evaluieren dazu Konzepte für die Lerhramtsausbildung und den Unterricht. Didaktik der Informatik Informatikunterricht hat für die Bildung in einer digitalisierten, vernetzten Welt eine besondere Bedeutung. Zeitüberdauernde informatische Kompetenzen helfen auch in der sich schnell verändernden Welt den Überblick zu bewahren und neue Möglichkeiten einzuschätzen und bewerten zu können. Informatische Bildung hilft einen eigenen Kompass zur Navigation in der digital vernetzten Welt zu entwickeln und hat dabei auch die gesellschaftlichen Einflüsse im Blick. Wir vermitteln angehenden Informatiklehrkräften die fachdidaktischen und unterrichtspraktischen Grundlagen, um Schülerinnen und Schülern informatische Kompetenzen vermitteln zu können.
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Research DataOpen Access
Relative and absolute abundances of bacteria and fungi in soil at the Achenkirch soil warming experiment
(2026-01-09) Borken, Werner
Long-term soil warming may alter microbial community structure and functioning in forest soils, thereby affecting carbon and nutrient cycling processes. We examined the effects of >14 years of soil warming (+4°C during snow-free seasons) on the fungal biomass marker ergosterol, and on fungal and bacterial communities in a spruce dominated mountain forest in the Austrian Alps. Soil warming decreased ergosterol, and the ergosterol-to-microbial biomass carbon (MBC) ratio at 0-10 and 10-20 cm soil depth, with a stronger decline in ergosterol, indicating a higher sensitivity of fungi than bacteria to long-term warming. Warming also shifted the fungal community at both soil depths, favoring Boletus luridus, an ectomycorrhizal (ECM) fungus, which emerged as the dominant OTU in warmed plots. Its abundance was positively associated with fine root biomass, root tip density, and soil respiration in warmed plots but negatively with ergosterol and MBC in control plots at 010 cm depth. The dominance of ECM over saprotrophic fungi (SAP) under warming at topsoil likely resulted from increased fine root production and enhanced competition for substrates and nutrients. Bacterial abundance and community composition remained mostly unaffected at both depths, likely due to their greater resilience to elevated temperatures and their high taxonomic diversity. Our findings therefore suggest that long-term warming primarily affects fungal community composition and functional traits, thereby enhancing the contribution of ECM with fine roots to the carbon cycle in the calcareous forest soil.