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ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection
(Technische Universität Dresden, 2023)The dataset can be used to investigate road traffic and derive test scenarios for scenario-based testing, for example. The dataset includes three months of drone videos and their corresponding trajectories recorded in ... -
ListDB RepThree: Stationary camera videos and trajectories at a signalized 3-way intersection taken on different Wednesdays over a 3-year period (2019, 2020 with Covid-19 lockdown, 2022)
(Technische Universität Dresden, 2023)The dataset can be used to study road traffic before, during, and after Covid-19. Moreover, the dataset can help to derive test scenarios for scenario-based testing, for example. The dataset includes seven days of drone ... -
ListDB RepTwo: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 4-way intersection
(Technische Universität Dresden, 2023)The dataset can be used to investigate road traffic and derive test scenarios for scenario-based testing, for example. The dataset includes three months of drone videos and their corresponding trajectories recorded in ... -
Manually delineated glacier calving front locations of 27 marine-terminating glaciers from 2013 to 2021
(Technische Universität Dresden, 2024)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 ... -
Manually delineated glacier calving fronts of 23 Greenland and 2 Antarctic outlet glaciers from 2013 to 2021 and source code for automated extraction by deep learning
(Technische Universität Dresden, 2022)Supplementary material to the manuscript: Loebel, E., Scheinert, M., Horwath, M., Heidler, K., Christmann, J., Phan, L., Humbert, A., Zhu, X. (2022): Extracting glacier calving fronts by deep learning: the benefit of ... -
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, ... -
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" -
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 -
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 ... -
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) -
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"