441 to 450 of 744 Results
Oct 26, 2022 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1
This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th... |
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 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 6, 2022 - C-X5
Kiemle, Stefanie; Heck, Katharina, 2022, "Data set for reproducing plots showing stable water isotopologue transport and fractionation", https://doi.org/10.18419/DARUS-3108, DaRUS, V1
This data set includes the *.csv data and the used scripts to reproduce the plots of the three different scenarios presented in S. Kiemle, K. Heck, E. Coltman, R. Helmig (2022) Stable water isotopologue fractionation during soil-water evaporation: Analysis using a coupled soil-atmosphere model. (Under review) Water Resources Research. *.csv files T... |
Oct 5, 2022 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality"
Dietz, Dennis; Oechsner, Carl; Ou, Changkun; Chiossi, Francesco; Sarto, Fabio; Mayer, Sven; Butz, Andreas, 2022, "Dataset and Analysis for "Walk This Beam: Impact of Different VR Balance Training Strategies and Height Exposure on Performance and Physiological Arousal"", https://doi.org/10.18419/DARUS-3139, DaRUS, V1
Dynamic balance is an essential skill for the human upright gait; therefore, regular balance training can improve postural control and reduce the risk of injury. Even slight variations in walking conditions like height or ground conditions can significantly impact walking performance. Virtual reality is used as a helpful tool to simulate such chall... |
Sep 29, 2022 - SFB-TRR 161 INF "Collaboration Infrastructure"
Garkov, Dimitar; Müller, Christoph; Braun, Matthias; Weiskopf, Daniel; Schreiber, Falk, 2022, ""Research Data Curation in Visualization : Position Paper" (Data)", https://doi.org/10.18419/DARUS-3144, DaRUS, V1, UNF:6:yUhRXAoSoLD387EnHtthFg== [fileUNF]
Here, we make available the supplemental material regarding data collection from the publicaiton "Research Data Curation in Visualization : Position Paper". The dataset represents an aggregated collection of the data policies of selected publication venues in the areas of visualization, computer graphics, software, HCI, and Virtual Reality with inc... |
Sep 29, 2022 - DICHASUS Channel State Information Measurements
Euchner, Florian; Gauger, Marc, 2022, "CSI Dataset dichasus-dxxx-complete: Outdoor - Three arrays distributed along the facade", https://doi.org/10.18419/DARUS-3153, 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... |
Müller, Florian, 2022, "TRC Challenge - design documents", https://doi.org/10.18419/DARUS-3147, DaRUS, V1
This dataset contains all specifications to manufacture and assemble a new benchmark structure for the experimental analysis of nonlinear vibrations. The setup includes a support structure, a thin panel and two blades. The blades are used to clamp the panel at the left and right side to the support. Due to a small inclination of the relevant surfac... |
Sep 28, 2022 - DICHASUS Channel State Information Measurements
Euchner, Florian; Gauger, Marc, 2022, "CSI Dataset dichasus-cf1x-part2: Distributed Antenna Setup in Industrial Environment, Day 2, Second Part", https://doi.org/10.18419/DARUS-3151, 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). Distributed antenna setup with line-of-sight (LoS) and non-... |
Saini, Harnoor, 2022, "User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"", https://doi.org/10.18419/DARUS-2229, DaRUS, V1
Background and Objective: Many biomedical, clinical, and industrial applications may benefit from musculoskeletal simulations. Three-dimensional macroscopic muscle models (3D models) can more accurately represent muscle architecture than their 1D (line-segment) counterparts. Nevertheless, 3D models remain underutilised in academic, clinical, and co... |
