321 to 330 of 349 Results
Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell
Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/DARUS-866, DaRUS, V1
micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized). |
Mar 1, 2021
This dataverse hosts data(-verses) without a project network affiliation. |
Feb 15, 2021PN 3
Processing Uncertain Microstructural Data: The projects objective is to relate image-based data of stochastic microstructures to their quantities of interest. The data consists mainly of microstructure images, corresponding material properties and features deployed in machine learning. |
Feb 15, 2021 - Data Analytics in Engineering
Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/DARUS-1151, DaRUS, V2
The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into two inclusion subclasses of circular and rectangular inclusions. Featu... |
Feb 10, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell
Weinhardt, Felix; Class, Holger; Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2021, "Optical Microscopy and pressure measurements of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/DARUS-818, DaRUS, V1
Content: This dataset includes raw as well as processed data from three experiments (Exp 1 - 3). Each dataset consists of the readouts from the pressure sensor(s), as logged with the use of QmixElements, raw images, and segmented images. Log files: Data in the log files are essentially the raw output of the software QMixElements which is used to op... |
Dec 2, 2020 - PN 7-6
Kneifl, Jonas; Fehr, Jörg, 2020, "Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall", https://doi.org/10.18419/DARUS-1150, DaRUS, V1
Racing Kart Frame Model This data set contains a finite element model for the commercial simulation software LS-DYNA, obtained simulation results and videos of comparing them to results obtained by surrogate models. Content Model * input files for the FE simulation software LS-DYNA containing the model description Simulation_Data * simulation resul... |
Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/DARUS-1130, DaRUS, V1
Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking researchers in analyzing and comparing eye movement behavior of two p... |
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-634, DaRUS, V1
This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods. |
