Universität Leipzig Data Publications
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- ItemOpen AccessBiSID-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, ThomasThe 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.
- ItemOpen AccessEarthquakes in Saxony (Germany) and surroundings from 2006 up to 2023 -- onsets and locations(Universität Leipzig, 2025-04-04) Wendt, SiegfriedThis 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.
- ItemOpen AccessDataset 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, MatteoThe 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).
- ItemOpen AccessA New Risk Assessment Model for Unexploded underwater Military Munitions: Workshop 2 Poll Results(Universität Leipzig, 2025-03-03) Frey, TorstenThis file contains workshop poll data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to Appendices 6, 7, and 8 of the dissertation.
- ItemOpen AccessA New Risk Assessment Model for Unexploded underwater Military Munitions: Workshop 1 Poll Results(Universität Leipzig, 2025-03-03) Frey, TorstenThis file contains workshop poll data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to Appendices 3 and 4 of the dissertation.
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