61 to 70 of 737 Results
Mar 7, 2025 - Institute of Thermodynamics and Thermal Process Engineering
Teh, Tiong Wei; Franz, Philipp; Stierle, Rolf; Hansen, Niels; Gross, Joachim, 2025, "Supplementary material for "GPU-accelerated classical density functional theory for alkane adsorption in cationic Faujasites: accuracy and performance comparison with grand canonical Monte Carlo simulations"", https://doi.org/10.18419/DARUS-4710, DaRUS, V1, UNF:6:stHJH07TlPNQ2mlEEjL5kA== [fileUNF]
The data that support the findings of the article "Classical density functional theory for alkane adsorption in cationic Faujasites: comparison with grand canonical Monte Carlo simulations". The dataset includes all adsorption data obtained from GCMC simulations (data_gcmc), from classical DFT calculations (data_dft) and RASPA input files (raspa).... |
Mar 7, 2025 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Teichmann, Alexander, 2025, "Replication Data for: Exploring the Predictive Potential of Sequential Data in Concrete Manufacturing", https://doi.org/10.18419/DARUS-4780, DaRUS, V1, UNF:6:6vGHB/B0ukeyj7my+koQow== [fileUNF]
Addendum to the corresponding paper. The paper explores the predictive potential of sequential data of a mixing plant regarding fresh concrete characteristics. The data was synthetically generated and takes into account the specific concrete mix proportions and their effect on the mixing power consumption as well as the slump flow value. The set co... |
Mar 6, 2025 - 3rd Physics Institute
Körber, Jonathan; Hessenauer, Jannis, 2025, "Replication Data for "Cavity enhancement of V2 centers in 4H-SiC with a fiber-based Fabry-Pérot microcavity"", https://doi.org/10.18419/DARUS-4788, DaRUS, V1, UNF:6:NUzZplaDwulMAR6IQNQcOw== [fileUNF]
CSV data sets to reproduce all plots in the paper. The datasets are either 1D plots with the x-values in the first column and all plotted y-curves in the following columns or 2D plots. In the latter case, the data consists of a vector containing the values of the x- and y-axis (first row and column, respectively) as well as the 2D data. Information... |
Mar 5, 2025 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF
Kundu, Koushani; Buchmeiser, Michael, 2025, "Replication Data for: Origin of Stereoselectivity in Ring Opening Metathesis Polymerization with Cationic Molybdenum Imido Alkylidene CAAC Complexes", https://doi.org/10.18419/DARUS-4791, DaRUS, V1
This dataset includes the NMR (1H, 19F and 13C) of the novel catalysts used in this article, the single crystal X-ray structure of a catalyst, and the proton NMR of the polymers. |
Feb 26, 2025 - InMotion (EXC)
Frank, Daniel, 2025, "Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated", https://doi.org/10.18419/DARUS-4770, DaRUS, V1
Overview This dataset contains input-output data of a damped nonlinear pendulum that is actuated at the mounting point. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system actuated pendulum. The configuration .json files for the corresponding datasets (in-distribution and out-of-distri... |
Feb 26, 2025 - InMotion (EXC)
Frank, Daniel, 2025, "Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated", https://doi.org/10.18419/DARUS-4768, DaRUS, V1
Overview This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system coupled-msd. The configuration .json files for the corresponding datasets (in-distribution and out-of-distribution... |
Feb 25, 2025 - 2024_DFG_HyComp2
Bauer, Christian Johannes Eugen, 2025, "Replication Data for: "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series"", https://doi.org/10.18419/DARUS-4454, DaRUS, V1, UNF:6:nXjE3jdP0ifitg6Z/WjD2A== [fileUNF]
This dataset contains all identification and validation data used in the conference paper "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series". The experimental data was recorded using an experimental setup to identify the transmission error of cycloidal drives as... |
Feb 24, 2025 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"
Stiefelmaier, Jonas, 2025, "Experimental Data for Fault Diagnosis in the Adaptive High-Rise D1244", https://doi.org/10.18419/DARUS-4784, DaRUS, V1
General information: This dataset is meant to serve as a benchmark problem for fault detection and isolation in dynamic systems. It contains preprocessed sensor data from the adaptive high-rise demonstrator building D1244, built in the scope of the CRC1244. Parts of the measurements have been artificially corrupted and labeled accordingly. Please n... |
Buser, Matthias; Henn, Manuel; Schneller, Lukas; Hummel, Marc; Beckmann, Felix; Hagenlocher, Christian; Graf, Thomas, 2025, "Depth progress of ultrafast laser drilling measured by means of X-ray synchrotron imaging", https://doi.org/10.18419/DARUS-4561, DaRUS, V1
This dataset contains sets of video frames taken from synchrotron x-ray videos of laser drilling with an ultrafast laser in 1.4301 stainless steel. The x-ray videos show the crossectional distribution of material density and thickness in the plane of the borehole axis. Each set is packaged in a multipage tiff file and contains selected video frames... |
Feb 14, 2025 - Institute of Geodesy
Saemian, Peyman; Elmi, Omid; Stroud, Molly; Riggs, Ryan; Kitambo, Benjamin M.; Papa, Fabrice; Allen, George H.; Tourian, Mohammad J., 2024, "Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)", https://doi.org/10.18419/DARUS-4475, DaRUS, V2
The Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) dataset provides a comprehensive solution for addressing gaps in river discharge measurements by leveraging satellite altimetry. This dataset offers enhanced coverage for river discharge estimations by utilizing data from multiple satellite missions... |
