61 to 70 of 215 Results
Oct 24, 2022 - Holm group
Beyer, David; Košovan, Peter; Holm, Christian, 2022, "Electronic Supporting Information and Data for: Simulations Explain the Swelling Behavior of Hydrogels with Alternating Neutral and Weakly Acidic Blocks", https://doi.org/10.18419/DARUS-2277, DaRUS, V2
Electronic supporting information, simulation scripts, simulation data and plotting scripts for the paper "Simulations Explain the Swelling Behavior of Hydrogels with Alternating Neutral and Weakly Acidic Blocks". In this work we use coarse-grained computer simulations to investigate the swelling behaviour of a tetra-PEG-tetra-PAA hydrogel. In this... |
Oct 21, 2022 - C-X2
Hommel, Johannes; Gehring, Luca, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples", https://doi.org/10.18419/DARUS-1713, DaRUS, V1, UNF:6:vBpJde3Meqz5+FeRU6TReA== [fileUNF]
This data set includes processed image data from three experiments on enzymatically induced carbonate precipitation ( further named low-, medium-, and high-mineralization or column 10, column 3, and column 4, respectively). Related data sets with the CT data this data set is based on are: low-mineralization sample: column 10, http://doi.org/10.1841... |
Oct 21, 2022 - C-X2
Hommel, Johannes; Weinhardt, Felix, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - microfluidics samples", https://doi.org/10.18419/DARUS-2791, DaRUS, V1
Content: This dataset includes processed data from two experiments on enzymatically induced carbonate precipitation (2D1 and 2D2), whose raw data is already published in https://doi.org/10.18419/darus-1799 (there named Quasi-2D-1 and Quasi-2D-2). This dataset contains in detail: Files for reproducing the simulation results: the docker container bas... |
Oct 20, 2022 - Collaborative Artificial Intelligence
Bulling, Andreas, 2022, "Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"", https://doi.org/10.18419/DARUS-3134, DaRUS, V1
This dataset was recorded to investigate the problem of recognising reading activity from eye movements. The experimental setup was designed with two main objectives in mind: (1) to record eye movements in an unobtrusive manner in a mobile real-world setting, and (2) to evaluate how well reading can be recognised for persons in transit. We defined... |
Oct 20, 2022 - DICHASUS Channel State Information Measurements
Euchner, Florian; Gauger, Marc, 2022, "CSI Dataset dichasus-dxxx-reduced: Outdoor - Three arrays distributed along the facade (one antenna removed)", https://doi.org/10.18419/DARUS-3236, DaRUS, V1
Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Three 2 x 8 antenna arrays are distributed along the facade... |
Oct 17, 2022 - Collaborative Artificial Intelligence
Bulling, Andreas, 2022, "Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography"", https://doi.org/10.18419/DARUS-3135, DaRUS, V1
This dataset was recorded to investigate the problem of recognising common office activities from eye movements. The experimental scenario involved five office-based activities - copying a text, reading a printed paper, taking handwritten notes, watching a video, and browsing the Web - and periods during which participants took a rest (the NULL cla... |
Oct 13, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Hägele, David; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-3104, DaRUS, V1
This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling". Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear dimensionality reduction technique for sets of random vectors. This dataset consists of a PDF document that contains a detailed mathematical derivation for the normal distribution UAMDS... |
Oct 12, 2022 - Institute for Structural Mechanics
Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1
This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file. |
Oct 11, 2022 - SFB-TRR 161 B07 "Computational Uncertainty Quantification"
Beschle, Cedric; Barth, Andrea, 2022, "Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5", https://doi.org/10.18419/DARUS-3154, DaRUS, V1
Python code to generate the meshes and FEM solutions to Section 5 of the paper Uncertainty visualization: Fundamentals and recent developments. Comments are in the code to explain it. Paraview is used for the visualization. |
Oct 6, 2022 - C-X5
Kiemle, Stefanie; Heck, Katharina, 2022, "Dumux code for modelling stable water isotopologue transport and fractionation", https://doi.org/10.18419/DARUS-3105, DaRUS, V1
Dumux source code to reproduce the results presented in S. Kiemle, K. Heck, E. Coltman, R. Helmig (2023) Stable water isotopologue fractionation during soil-water evaporation: Analysis using a coupled soil-atmosphere model. Water Resources Research. The contained application allows to model stable water isotopologue transport and fractionation in s... |
