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Evaluating the method reproducibility of deep learning models in biodiversity research
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Leveraging mobility data to analyze persistent SARS-CoV-2 mutations and inform targeted genomic surveillance
Published 2025-01-01“…Given the rapid cross-country spread of SARS-CoV-2 and the resulting difficulty in tracking lineage spread, we investigated the potential of combining mobile service data and fine-granular metadata (such as postal codes and genomic data) to advance integrated genomic surveillance of the pandemic in the federal state of Thuringia, Germany. We sequenced over 6500 SARS-CoV-2 Alpha genomes (B.1.1.7) across 7 months within Thuringia while collecting patients’ isolation dates and postal codes. …”
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The Expansion of the Fibre Optic Network in Germany: Switching the Lights to Green
Published 2022-05-01“…The federal government thereby implements a strategic decision that states like Schleswig-Holstein and Thuringia have made before: the basis for a sustainable digital infrastructure is a comprehensive optic fibre network to the building/home (FTTB/FTTH). …”
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Alpine, Variscan, eo-Variscan belts: comparison between hot and cold orogens from the examples of French segments
Published 2023-05-01“…In Paleozoic or Mesozoic, microcontinents such as Apulia and Sesia or Armorica and Saxo-Thuringia were individualized. The oceanic convergence stage was associated with the development of arcs and back-arc basins in the Variscan belt but magmatic arcs are missing in the W. …”
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Mapping Habitat Structures of Endangered Open Grassland Species (<i>E. aurinia</i>) Using a Biotope Classification Based on Very High-Resolution Imagery
Published 2025-01-01“…To address this, we conducted a comprehensive habitat suitability analysis within the Hainich National Park in Thuringia, Germany, leveraging very high-resolution (VHR) airborne, red-green-blue (RGB), and color-infrared (CIR) remote sensing data and deep learning techniques. …”
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