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Auflistung Technische Universität Dresden nach Titel
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MatLab Code to simulate an Underwater Laser Triangulation System
(Hannes Sardemann, Professur für Photogrammetrie, Fakultät Umweltwissenschaften, Technische Universität Dresden, 2022)This is the MatLab Code of the Simulation Tool. Open the script simulation.m and run it with MatLab. By editing the input parameter (for exaple orientation and positon of camera, laser, interfaces and ground), you will get ... -
MCRS1 modulates the heterogeneity of microtubule minus-end morphologies in mitotic spindles
(Technische Universität Dresden, 2022)This collection contains electron tomography data of HeLa cells depleted with MCRS1 protein. Datasets contain, a collection of spatial graphs. -
Measurement Images of an Underwater Laser Triangulation Sensor
(Technische Universität DresdenHannes Sardemann, Professur für Photogrammetrie, Fakultät Umweltwissenschaften, Technische Universität Dresden, 2022)Measurement images of an underwater laser triangulation experiment. A wreck model was scanned with the triangulation sensor. -
Measurements for different PEDOT:PF6 fiber networks
(Technische Universität Dresden, 2024)Each folder represents one or more unique PEDOT:PF6 fiber networks. Different types of measurement might be found for each network, including impedance measurements ("Autolab" folder), transistor measurements ("SMU" folder) ... -
Measuring the transformation of biodegradable and inert COD fraction concentrations along flow path in combined sewer system
(Technische Universität Dresden - Faculty of Environmental Sciences - Department of Hydrosciences - Institute of Urban and Industrial Water Management, 2023)In wastewater from a combined sewer of the city of Dresden, the wastewater composition was determined using in-situ UV-Vis measurement technology and wet chemical analyzes from random samples as a reference. In addition, ... -
Mechanical transmission of rotational motion between molecular-scale gears
(Technische Universität Dresden, 2019) -
meinGrün Supplementary Materials for mCloud
(Technische Universität DresdenAlexander Dunkel, Madalina Gugulica, 2021)This collection includes Supplementary Materials from the IfK results for meinGrün, made available on mCloud: 1. Metadata Dresden dataset 2. Metadata Heidelberg dataset 3. Use Case Web Portal Heatmap "Großer Garten" -
Molecular rotor functionalized with a photoresponsive brake - xyz files
(CEMES, Université de Toulouse, CNRS, 2022)Supplementary data to Inorg. Chem. 2021, 60, 3492-3501. -
Monitoring data for the publication "Fast inundation simulation with RIM2D for urban flood risk assessment and forecasting"
(Technische Universität Dresden, 2023)Monitoring data used for model calibration and evaluation from the Urban Observatory of the Chair of Urban Water Management -
Multiwell DNA hairpin dynamics smFRET measurements
(Technische Universität Dresden, 2023)raw data of DNA hairpin dynamics measured in a multiwell smFRET experiment time-correlated single-photon counting, PIE, and multi parameter fluorescence detection -
NAD(P)H/FAD FLIM data D. melanogaster tissues
(Cornelia Wetzker, Angewandte Zoologie, Fakultät Biologie, 2019) -
Ontologies, SHACL-Rules and SPARQL-Queries of PhD-Thesis "An ontology-based approach for automatized evaluation of structural damage in a digital data environment"
(Technische Universität Dresden, 2023)New technologies in the field of building and damage detection lead to an automation of inspection processes and thus an increase in efficiency. However, an adequate digitalisation of the recorded building data into a BIM ... -
Photographs of the occlusal surface and bitewing X-ray images of carious teeth in vitro
(Technische Universität Dresden, 2023)This dataset contains the images of conventional diagnostic methods for occlusal caries of the 17 teeth examined. For each tooth sample, one photograph (.JPG file) of the occlusal surface is available representative for ... -
Plasma steroid profiles in subclinical compared to overt adrenal Cushing’s syndrome
(Technische Universität Dresden, 2019)This supplemental file is derived from responses to the reviewers of the manuscript to provide background to the associated concepts and mathematical and statistical methods. -
Polarized light microscopy (PLM) images of occlusal caries lesions
(Technische Universität Dresden, 2023)This dataset contains the images of 24 selected thin sections examined with polarized light microscopy. The thin sections were examined with a Leica DMRB polarizing microscope (Leica Microsystems GmbH, Wetzlar, Germany) ... -
PRISM Probabilistic Model Checker extended by conditional probabilities, long-run averages and cumulative updates
(Technische Universität Dresden, 2021)Source code of the probabilistic model checker PRISM (https://www.prismmodelchecker.org ) that includes all extensions developed for the thesis: 1) implementation of methods for conditional probabilities and expectations, 2) ... -
Privacy-aware visualization of volunteered geographic information (VGI) to analyze spatial activity: A benchmark implementation
(Technische Universität Dresden, 2020)Supplementary Materials (release v0.1.0) -
Prozesseinflussuntersuchung bei der Fadentränkung
(Technische Universität DresdenInstitut für Textilmaschinen und Textile Hochleistungswerkstofftechnik, 2024)Untersuchungen zu den Einflussparameter bei der Tränkung von Garnen; Charakterisierung mittels Zugversuchen (Verbundphysikalische Untersuchungen); Untersuchungen dienen als technologische Grundlage für die nachfolgende ... -
Pyrolysis data to reveal molecular composition of peat and peat forming plants
(Technische Universität Dresden, 2020)Detailed data description can be found here: Zeh, L., Igel, T. M., Schellekens, J., Limpens, J., Bragazza, L., & Kalbitz, K. (2020). Vascular plants affect properties and decomposition of moss-dominated peat, particularly ... -
Python source code, text corpora and automatically generated datasets for Machine Learning
(Technische Universität Dresden, 2023)This is supplementary information to the report: "Entwicklung eines Input-Algorithmus zur Erzeugung von Lerndatensätzen für Maschinelles Lernen mittels Natural Language Recognition"