Universität Leipzig Data Publications

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http://opara.zih.tu-dresden.de/handle/123456789/33
Data publications from research of Leipzig University.

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Now showing 1 - 5 of 13
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    Open Access
    Forschungsdaten zur Dissertation: Konzeption eines fachdidaktischen Patternmodells für den Informatikunterricht
    (Universität Leipzig, 2025-06-19) Kießling, Peter
    Diese Datenpublikation umfasst die im Rahmen der Dissertation „Konzeption eines fachdidaktischen Patternmodells des Informatikunterrichts in den Dimensionen Inhalt, Methode und Medium“ (Kießling, 2025, Universität Leipzig) erhobenen Forschungsdaten. Enthalten sind anonymisierte Daten der Vorstudie (Phasen I und II), der Hauptstudie sowie der explorativen Wirksamkeitsanalyse. Darüber hinaus beinhaltet die Publikation eine Demoversion des im Forschungsprozess entwickelten IML-Modells.
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    Open Access
    Optoacoustic Imaging in Lower Extremity Revascularization: A Novel Technique to Assess Perioperative Muscle Perfusion
    (Universität Leipzig, 2025-06-10) Winther, Birte
    This Excel sheet contains perfusion measurements acquired using Multispectral Optoacoustic Tomography (MSOT) from a cohort of 26 patients undergoing lower extremity revascularization. Measurements were taken at three time points: before the procedure (pre), immediately after the procedure (post), and before hospital discharge (disch). For each patient (identified by a pseudonym in the leftmost column), multiple oxygenation-related parameters were recorded at various wavelengths, targeting three anatomical regions of interest: Tibialis Anterior Muscle – Proximal (TAP), Tibialis Anterior Muscle – Medial (TAM), and Flexor Hallucis Brevis Muscle (FH).
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    Open Access
    BiSID-5k: A Bimodal Image Dataset for Seed Classification from the Visible and Near-Infrared Spectrum
    (Universität Leipzig, 2025-04-10) Kukushkin, Maksim; Bogdan, Martin; Goertz, Simon; Callsen, Jan-Ole; Oldenburg, Eric; Enders, Matthias; Schmid, Thomas
    The success of deep learning in image classification has been largely underpinned by large-scale datasets, such as ImageNet, which have significantly advanced multi-class classification for RGB and grayscale images. However, datasets that capture spectral information beyond the visible spectrum remain scarce, despite their high potential, especially in agriculture, medicine, and remote sensing. To address this gap in the agricultural domain, we present BiSID-5k, a thoroughly curated bimodal seed image dataset comprising paired RGB and hyperspectral images for 10 plant species, making it one of the largest bimodal seed datasets available. We describe the methodology for data collection and preprocessing and benchmark several deep learning models on the dataset to evaluate their multi-class classification performance. By contributing a high-quality dataset, BiSID-5k offers a valuable resource for studying spectral, spatial, and morphological properties of seeds, opening new avenues for research and applications.
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    Open Access
    Earthquakes in Saxony (Germany) and surroundings from 2006 up to 2023 -- onsets and locations
    (Universität Leipzig, 2025-04-04) Wendt, Siegfried
    This archive contains complete results of earthquake locations for Saxony (Germany) and neighbourhood of the years from 2006 up to 2023. Approximately 26.000 events were detected and localized, most of them with epicenters in Northwestern Bohemia near Nový Kostel and Luby (Czech Republic) neighboured to the Saxon border.
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    Open Access
    Dataset Validation Study ILEA-Basis-T
    (Universität Leipzig, 2025-03-05) Liebers, Katrin; Siegemund-Johannsen, Steffen; Viernickel, Susanne; Redersborg, Helke; von Seeler, Isabelle; Richter, Virginia; Hartke, Sara; Kauffert, Matteo
    The validation study was conducted to statistically test the validity of the developed DBS. Accordingly, the materials that had been developed for the DBS over the course of the project and had already been tested were used. The parents of all participating children gave their consent. The research ethical standards were adhered to. Likewise, a positive vote of the ethics committee of the University of Leipzig was available. At the same time, further domain-specific test procedures were used to determine convergent and discriminant validity in the areas of early literacy and early mathematics (e.g. MBK 0, Krajewski, 2018; GISC-EL, Koch, Euker & Kuhl, 2016). In addition, a comprehensive rating-based evaluation form was developed for the Early Mathematics Observation Form, with a focus on suitability for everyday use and acceptance in practice. The observation procedures for well-being and the children's questionnaire on well-being were used by project staff, students, and preschool teachers. Convergent discrimination for the habitual well-being rating procedure was determined using a selection of parallel assessment methods (excerpts from KOMPIK; Mayr, Bauer, Krause, Kruse, & Schnirch, 2014; Leiden Inventory for the Child's Wellbeing in Day Care/LICW-D; De Schipper, Van IJzendoorn, & Tavecchio, 2004).