https://opara.zih.tu-dresden.de/xmlui/handle/123456789/3 2026-04-05T09:03:09Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6125 Raw data of the cyclic tests on the beam specimens Birkner, Dennis This dataset contains the raw data of the cyclic tests on the beam specimens. Two concrete mixes were investigated (C30 and C80). The specimens are named with the concrete type followed by a roman number (e.g. C30-II). The specimens were loaded with a sinusoidal load, oscillating between a relative minimum and a maximum load level. The minimum load level was aimed to be 5% of the compressive strength and the maximum load level 75%. An exception was beam C80-VI. A maximum load level of 65 % was chosen here. Each beam was from a different concrete batch and for determining the compressive strength of the respective concrete batch, three cyclindrical specimens were cast together with each beam. Before starting the beam test, the compressive strength was determined on the cylindrical specimens. In a first step, the beams were prestressed. Afterwards a vertical prestressing was applied to achieve a mean loading in the specimens. In the third step, the fatigue test was started. The Layout of all sensors is provided in a separate file here. The data of the sensors can be found in .ASC files. Following channels are used in each file: Zeit 1 (Standardmessrate) [time 1 (standard measuring rate)] in s, DMS_1 [strain gage 1] in micrometer/m, DMS_2 [strain gage 2] in micrometer/m, DMS_3 [strain gage 3] in micrometer/m, DMS_4 [strain gage 4] in micrometer/m, DMS_5 [strain gage 5] in micrometer/m, DMS_6 [strain gage 6] in micrometer/m, DMS_7 [strain gage 7] in micrometer/m, DMS_8 [strain gage 8] in micrometer/m, DMS_9 [strain gage 9] in micrometer/m, DMS_10 [strain gage 10] in micrometer/m, DMS_11 [strain gage 11] in micrometer/m, DMS_12 [strain gage 12] in micrometer/m, DMS_13 [strain gage 13] in micrometer/m, DMS_14 [strain gage 14] in micrometer/m, DMS-Komp [strain gage for temperature compensation] in micrometer/m, Zeit 2 (Standardmessrate) [time 2 (standard measuring rate)] in s, DMS-q-west [strain gage transversal, west side] in micrometer/m, DMS-q-ost [strain gage transversal, east side] in micrometer/m, Zeit 3 (Standardmessrate) [time 3 (standard measuring rate)] in s, Zeit 3 (langsame Messrate) [time 3 (slow measuring rate)] in s, Auflager_1 [support force 1] in kN, Auflager_2 [support force 2] in kN, Auflager_3 [support force 3] in kN, Auflager_4 [support force 4] in kN, Temp4 [temperature 4] in °C, Temp3 [temperature 3] in °C, Temp2 [temperature 2] in °C, Temp1 [temperature 1] in °C, Zeit 5 (Standardmessrate) [time 5 (standard measuring rate)] in s, Nord_Vorspannen [prestressing force northern threaded rod] in kN, Süd_Vorspannen [prestressing force southernthreaded rod] in kN, Öldruck Zylinder [hydraulik pressure of prestressing cylinder] in kN, Temp-Luft [ambient temperature] in °C, Summe Auflager [sum of support forces] in kN The fatigue load was applied by beams of imbalance motors which were regulateded by a control software. The data from the control software can be found in the .CSV files. Following channels are used in these files: Zeit [time] in s, Soll-Drehzahl [target frequency] in Hz, Ist-Amplitude Regelwert [current force oscillation] in kN, Ist-Drehzahl Motor 1 [current frequency of motor 1] in Hz, Ist-Drehzahl Motor 2 [current frequency of motor 2] in Hz, Ist-Drehzahl Motor 3 [current frequency of motor 3] in Hz, Ist-Drehzahl Motor 4 [current frequency of motor 4] in Hz, Ist-Phasenversatz M1-M2 [current phase offset betweeen motor 1 and motor 2] in °, Ist-Phasenversatz M1-M3 [current phase offset betweeen motor 1 and motor 3] in °, Ist-Phasenversatz M1-M4 [current phase offset betweeen motor 1 and motor 4] in °, Lastwechsel [load cycles], AI0 [reaction force 1] in kN, AI1 [reaction force 2] in kN, AI2 [reaction force 3] in kN, AI3 [reaction force 4] in kN, AI0 RMS [current average force oscillation of the supports] in kN For some beam specimens multiple runs were needed to achieve fatigue failure because of unplanned stops of the imbalance motors. The data files of these runs are named X_Run01...X-Run02 accordingly. 2024-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6056 Manually delineated glacier calving front locations of 27 marine-terminating glaciers from 2013 to 2021 Loebel, Erik; Scheinert, Mirko; Horwath, Martin; Humbert, Angelika; Sohn, Julia; Heidler, Konrad; Liebezeit, Charlotte; Zhu, Xiao Xiang This dataset provides 898 manually delineated glacier calving front positions of 23 Greenland glaciers, two glaciers at the Antarctic Peninsula, one glacier in Svalbard and one glacier in Patagonia from 2013 to 2021. For manual delineation, we used optical Landsat-8 imagery. The dataset is composed of two parts. Firstly we provide ocean masks and frontal positions as Polygon or LineString Shapefiles respectively. Secondly, we provide 1220 input raster subsets (9 layers each) with their corresponding, manually delineated, segmentation masks. Input raster subsets have dimensions of 512 pixels by 512 pixels and are available in both png and georeferenced tif format. These machine learning ready raster subsets are optimized for training and validating artificial neural networks. 2024-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6044 Terminus area change of 17 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning Loebel, Erik; Baumhoer, Celia A.; Dietz, Andreas; Scheinert, Mirko; Horwath, Martin Glacier 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 and image format. The following glaciers are included in this data record: Birley Glacier, Bleriot Glacier, Cayley Glacier, Crane Glacier, Dinsmore-Bombardier-Edgeworth Glacier system, Drygalski Glacier, Fleming Glacier, Hariot Glacier, Hektoria-Green-Evans Glacier system, Hugi Glacier, Jorum Glacier, Murphy Wilkinson Glacier, Prospect Glacier, Sjogren Glacier, Stringfellow Glacier, Trooz Glacier and Widdowson Glacier. 2023-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6038 Simulation Data: Indoor Positioning Systems in Connected Aircraft Cabins Schwarzbach, Paul; Ninnemann, Jonas The dataset consist of three .csv files containing the visibility analysis (LOS/OLOS/NLOS) from ray launching inside the aircraft cabin, the anchor states and the results of the probabilistic range sampling. In total 8 different anchors and two different positions (heights) are simulated. 2023-01-01T00:00:00Z