DaRUS (University of Stuttgart)
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CSI Dataset dichasus-adxx: ARENA2036: Distributed setup in industrial environment at 3.4GHz
No full textDataset 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).
Channel measurements in the ARENA2036 research factory with known 3D pointcloud scan and video of environment. 64 antennas, arranged into four arrays
GALÆXI Verification: Convergence Tests
No full text
This Dataset contains the setup and the results of the convergence tests which are reported in the GALÆXI Paper (Section 5.1). The results are contained in the file results.txt. The used case is based on the method of manufactured solution. The detailed formulation is specified in Hindenlang et al. and is implemented as ExactFunc=4 in GALÆXI.
The folder convtest/ contains the setup for the simulations in the format required by the Reggie2.0 tool (available on GitHub) to run the different cases in an automated fashion. The so-called userblock provided by GALÆXI can be used to rebuild the exact code versions to obtain the results from the paper. To build these versions employ the provided Python build script as:
python build.py ./build-folder ./userblock.txt
Moreover, the script build.sh automatically clones GALÆXI from GitHub, builds the code versions used for the paper and runs the convergence tests using the Reggie2.0 tool. For this, run
bash run.sh
Note: Please ensure that all necessary dependencies of GALÆXI are available (including CUDA) and a Python3 environment is installed on the system. Moreover, the cases can become rather large, so that a consumer GPU might not be able to run the largest cases causing them to be skipped. The largest meshes can be excluded by removing them from the individual parameter.ini files in the convtest/ folder
Reinforcement Arrangement Data
No full textThis repository contains three computational hollow timber slab reinforcement arrangement methods and their results when applied to a testing setup representing the architectural goals of the developed timber building system. The testing setup includes the floor plate boundaries, column locations, and results of a finite element analysis. The FEA, sequential, structurally informed ABM, and geometrically informed ABM methods are included. The results include column crowns and reinforcement webs
Replication Data for: Investigations on the Fire Behavior of Functionally Graded Concrete Slabs with Mineral Hollow Spheres
No full textAddendum to the corresponding paper. The paper describes numerical and experimental investigations of cut-outs of functionally graded concrete slabs subjected to fire exposure in a small scale test furnace.
The data set includes:
experimental_results/
Temperature measurements after 0, 30, 60 and 90 minutes of fire exposure from the specimens subjected to fire in the test furnace.
abaqus_input/
Abaqus .inp files that allow the reproduction of the described numerical simulation for different mesh refinements.
numerical_results/
Simulated temperature after 0, 30, 60 and 90 minutes of fire exposure from the numerical simulations used for a convergence study, to judge the influence of varying boundary conditions and for comparison with the experimental results. <br /
Periodic Trajectories of a Passive One-Legged Hopper
No full textGeneral
The one-legged hopper depicted in hooper.png is energetically conservative. The state of the system is given by the horizontal position (x), the vertical position (y), the leg rotation angle (alpha), and their respective velocities. The data required to comprehensively describe a periodic motion (gait) consists of these 6 states, the period (T), and the energy level (E). Since the energy remains constant throughout any motion, E is considered a (bifurcation) parameter.
File Setup
The files are comma-separated text files encoding matrices of different sizes. The time-series data of a single periodic motion is represented as a 6-by-103 matrix, where the first column and the second column store the energy level (E) and period (T), respectively. The remaining columns (6-by-101) contain the time-series data of the 6 states at 101 equidistant time-steps ranging from time 0 to period time T.
While the two bifurcation points stored in the files BP1.txt and BP2.txt include only a single periodic trajectory (a matrix of size 6-by-103), the families/branches of periodic motions (M0.txt - M6.txt) contain multiple trajectories. These families are represented by a matrix of size 6xnPM-by-103, where nPM is the number of periodic motions.
The Matlab script main.m and Python script main.py demonstrate how to import and modify the data from the text files and generates the bifurcation diagram shown in Fig. 3 of the corresponding journal paper.
Matlab Live Script
In addition to main.m and main.py, the Matlab live script main_LiveScript.mlx offers an interactive exploration of the data by allowing the user to select a periodic motion from the bifurcation diagram and display the corresponding time-series data
Research Data Summary for: "Systematic analysis, aggregation and visualisation of interaction fingerprints for molecular dynamics simulation data"
No full textHere, we summarise available data and source code regarding the publication "Systematic analysis, aggregation and visualisation of interaction fingerprints for molecular dynamics simulation data".
Abstract
Computational methods such as molecular docking or molecular dynamics (MD) simulations have been developed to simulate and explore the interactions between biomolecules. However, the interactions obtained using these methods are difficult to analyse and evaluate. Interaction fingerprints (IFPs) have been proposed to derive interactions from static 3D coordinates and transform them into 1D bit vectors. More recently, the concept has been applied to derive IFPs from MD simulations, which adds a layer of complexity by adding the temporal motion and dynamics of a system. As a result, many IFPs are obtained from one MD simulation, resulting in a large number of individual IFPs that are difficult to analyse compared to IFPs derived from static 3D structures. Scientific contribution: We introduce a new method to systematically aggregate IFPs derived from MD simulation data. In addition, we propose visualisations to effectively analyse and compare IFPs derived from MD simulation data to account for the temporal evolution of interactions and to compare IFPs across different MD simulations. This has been implemented as a freely available Python library and can therefore be easily adopted by other researchers and to different MD simulation datasets.
All the scripts (https://doi.org/10.5281/zenodo.10424417) and data (https://doi.org/10.5281/zenodo.10423389) used in this paper are available open source at Zenodo. <br
Replication Data for "Fluorescence enhancement of single V2 centers in a 4H-SiC cavity antenna"
No full textCSV data sets to reproduce all plots in the paper and the Supplementary Informatio
Replication Data for: High-resolution cw laser spectroscopy of long-lived Rydberg states in NO
No full textThis dataset holds all measurement data, as well as the evaluation and plotting scripts to replicate all figures of the paper. Please refer to the README.md file for more information
Code for Ultrahyperbolic Knowledge Graph Embeddings
No full textThis is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method UltraE, a geometric embedding approach for knowledge graph embeddings. The code is tested on public datasets which can be downloaded from KGEmb. To execute the code, follow the instructions in the README.md file.
For more info, please check the paper or feel free to contact the authors for any inquiries.</p
Component Data Protocols for the Fabrication of Coreless-Wound Structural Building Components in the BUGA Fibre Pavilion and Maison Fibre
No full textData Protocols for Composite Components of the BUGA Fiber Pavilion (Website) and Maison Fibre (Website) as outcomes of the Feedback-Based Computational Method and Multi-Scalar Design and Evaluation Toolset, described in 'Concurrent Computational Design and Modeling of Structural Coreless-Wound Building Components,' published in Automation in Construction.
The data is the output of the developed design tools and provides a comprehensive geometric and semantic description of the composite components for production. It includes general parameters, defining anchor point counts, material parameters, and a geometrical base plane. The syntax layup provides a layer breakdown of the components including layer count and hooking types. Syntax indices provide the fiber topology of every fiber pattern using a list of anchor point IDs. Abstract path points provide a geometrical description of all fiber patterns by discretizing them into points along equal-length segments. A roving count is provided to give an overview of material amount and distribution. The winding point orientation provides the location and orientation vectors of the anchor points and the geometry section provides geometrical information on the frame assembly