TU Dresden Data Publications
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Data publications from research of Dresden University of Technology.
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- ItemOpen AccessTerminus area change of 42 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning(Technische Universität Dresden, 2024-07-23) Loebel, Erik; Baumhoer, Celia A.; Dietz, Andreas; Scheinert, Mirko; Horwath, MartinGlacier terminus area changes are derived using the rectilinear box method applied to time series of glacier calving front locations. Terminus changes are provided in text file format. The following glaciers are included in this data record: Akaga-Sinion Glacier system, Avsyuk Glacier, Birley Glacier, Bleriot Glacier, Boydell Glacier, Cadman Glacier, Carlson Glacier, Cayley Glacier, Clarke Glacier, Crane Glacier, Darvari-Boryana-Desudava Glacier system, Dinsmore-Bombardier-Edgeworth Glacier system, Drygalski Glacier, Drummond Glacier, Erskine Glacier, Fleming Glacier, Funk Glacier, Hariot Glacier, Heim Glacier, Hektoria-Green-Evans Glacier system, Hopkins Glacier, Hugi Glacier, Jorum Glacier, Keith Glacier, Malorad Glacier, McCance Glacier, Murphy Wilkinson Glacier, Otlet Glacier, Peter Glacier, Prospect Glacier, Punchbowl Glacier, Pyke Glacier, Remus-Snowshoe Glacier, Renard-Krebs Glacier, Sjogren Glacier, Stringfellow Glacier, Swithinbank Glacier, Temple Glacier, Trooz Glacier, Valot Glacier, Widdowson Glacier and Zaychar Glacier.
- ItemOpen AccessManually delineated glacier calving front locations of 20 marine-terminating glaciers of the Antarctic Peninsula from 2013 to 2023(Technische Universität Dresden, 2024-07-23) Loebel, Erik; Baumhoer, Celia; Dietz, Andreas; Scheinert, Mirko; Horwath, MartinThis dataset provides 312 manually delineated glacier calving front positions of 20 marine-terminating glaciers of the Antarctic Peninsula from 2013 to 2023. For manual delineation, we used optical Landsat-8 and Landsat-9 imagery. We provide ocean masks and frontal positions as Polygon/LineString Shapefiles and in a georeferenced tif format. The following glaciers are included in this data record: Birley Glacier, Bleriot Glacier, Boydell Glacier, Cayley Glacier, Crane Glacier, Dinsmore-Bombardier-Edgeworth Glacier system, Drygalski Glacier, Drummond Glacier, Fleming Glacier, Hariot Glacier, Hektoria-Green-Evans Glacier system, Hugi Glacier, Jorum Glacier, Murphy Wilkinson Glacier, Prospect Glacier, Punchbowl Glacier, Sjogren Glacier, Stringfellow Glacier, Trooz Glacier and Widdowson Glacier.
- ItemOpen AccessData STM NBD(Technische Universität Dresden, 2024-07-15) Moresco, FrancescaSupplementary raw STM data to the publication "Direct imaging of a norbornadiene (NBD) derivative adsorbed on the Au(111) surface"
- ItemOpen AccessSupplementary materials for the publication "Assessing perceived landscape change from opportunistic spatio-temporal occurrence data"(Technische Universität Dresden, 2024-07-12) Dunkel, Alexander; Burghardt, DirkSupporting Information for the publication "Assessing perceived landscape change from opportunistic spatio-temporal occurrence data" (Release v1.0.1). Updates from the peer review process may not be reflected in this submission. The original git repository with the latest versions can be found at https://gitlab.hrz.tu-chemnitz.de/ad/temporal_landscapes
- ItemOpen AccessDual testing field for studies of environmental and operational effects in structural damage localization of mechanical structures(Technische Universität Dresden, 2024-07-09) Rohrer, MaximilianThis dataset accompanies the research on the impact of Environmental and Operational Conditions (EOC) on vibration-based Structural Health Monitoring (SHM) methods. It includes comprehensive acceleration data collected from a novel experimental testing field consisting of two identical mechanical structures. One structure operates in a controllable laboratory environment, while the other is subjected to real-world EOC in a field setup. The dataset captures mass along with various environmental factors affecting the field setup. This modular measurement system ensures the collection of high-quality data, making this dataset a valuable benchmark for researchers studying the effects of EOC on SHM. The dataset provides a unique opportunity for validating and developing robust SHM techniques that can adapt to varying EOC, fostering advancements in the field.
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