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license: CC BY 4.0

231 to 240 of 737 Results

Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios Mar 28, 2024 - PN 7-6 Bechler, Florian, 2024, "Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios", https://doi.org/10.18419/DARUS-4116, DaRUS, V1 Video of the interior and exterior information of a driving scenario, with the resulting graph-based description. The video shows a combination of exterior data of a driving scenario in combination with information about the drivers eyegaze. On the right side a resulting graph-based model is depicted which combines the states that are relevant for...
Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/DARUS-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF] This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm considers both the process requirements and the dynamic characteristics...
Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data Mar 25, 2024 - Geostatistical Inversion Xu, Teng, 2024, "Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data", https://doi.org/10.18419/DARUS-2382, DaRUS, V1, UNF:6:vW5NY5+W7Wy1GtNndUOs3Q== [fileUNF] Description: Dataset published with the paper "Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison". You can use these data to generate the comparisons between the EnKF and the MCMC solution as seen in the paper. Folder structu...
Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives Mar 21, 2024 - 2019_DFG_ZRA_Gleichlaufkompensation Steinle, Lukas, 2024, "Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-3759, DaRUS, V1, UNF:6:yyyPRR4Wz8WOv1lj5nOToA== [fileUNF] This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives". Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable p...
Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL Mar 19, 2024 - Scientific Computing Bantel, Linus; Domanski, Peter, 2024, "Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL", https://doi.org/10.18419/DARUS-4085, DaRUS, V1, UNF:6:8MdHTluRf6u9Vntb4fvs/g== [fileUNF] Recorded Data of the Swingup Task on the Inverted Cartpole IP-02 by Quanser. State transitions are as following: (pos, pos_dot, phi, phi_dot, action) -> (pos_new, pos_dot_new, phi_new, phi_dot_new) Actions are discrete from 0 to 8, with 4 being the zero-action. I.e. 0 and 8 are full force in either direction.
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material Mar 13, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization" Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/DARUS-3845, DaRUS, V1 In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess.
Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom Mar 8, 2024 - Materials Design Srinivasan, Prashanth; Demuriya, David; Grabowski, Blazej; Shapeev, Alexander, 2024, "Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom", https://doi.org/10.18419/DARUS-3891, DaRUS, V1 Data for "Srinivasan, P., Demuriya, D., Grabowski, B. et al. Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom. npj Comput Mater 10, 41 (2024). doi:10.1038/s41524-024-01222-9 The dataset contains three folders: Data for the four figures in the manuscript. This also includes the thermodynamic properties w...
Replication Data for: Development of a framework for point-particle tracking Mar 7, 2024 - Usability and Sustainability of Simulation Software Kschidock, Helena, 2024, "Replication Data for: Development of a framework for point-particle tracking", https://doi.org/10.18419/DARUS-3760, DaRUS, V1 This dataset contains a custom build for Altair's simulation software ultraFluidX and the input files used in the Master Thesis 'Development of an Euler-Lagrangian framework for point-particle tracking to enable efficient multiscale simulations of complex flows', submitted by Helena Kschidock on 02/11/2023. For further details on the input files, a...
NGS data related to Dossmann et al.: Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons Mar 4, 2024 - Amplicon based bisulfite NGS data Jeltsch, Albert; Bashtrykov, Pavel; Dossmann, Leonie; Emperle, Max, 2024, "NGS data related to Dossmann et al.: Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons", https://doi.org/10.18419/DARUS-3386, DaRUS, V1 Cloning and site-directed mutagenesis The gene of the catalytic, C-terminal domain of murine DNMT3C (amino acid residues 439-740 of P0DOY1) was obtained in E. coli codon optimized form from IDT Integrated DNA Technologies. The gene fragment was cloned with the StrataClone PCR Cloning Kit (Stratagene) into a StrataClone Vector Mix amp/kan (Stratagen...
Supporting Information: Notebooks, Solute Configurations and Solvation Free Energy Data Mar 1, 2024 - A01: Molecular detail in ﬂuid simulations: Density Functional Theory within component and momentum balances Bursik, Benjamin; Eller, Johannes; Gross, Joachim, 2024, "Supporting Information: Notebooks, Solute Configurations and Solvation Free Energy Data", https://doi.org/10.18419/DARUS-3756, DaRUS, V1, UNF:6:0QTV2eSt2s5RktyiTCTmAg== [fileUNF] This dataset contains three types of data: 1) Jupyter notebooks (.ipynb) for the calculation of solvation free energies and for the recreation of all figures in the publication; 2) Gromacs files containing the solute and solvent topology (.gro, .itp, .top), the trajectories (.trr) and simulation parameter files (.mdp); 3) Results for solvation free...

Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios

Mar 28, 2024 - PN 7-6

Bechler, Florian, 2024, "Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios", https://doi.org/10.18419/DARUS-4116, DaRUS, V1

Video of the interior and exterior information of a driving scenario, with the resulting graph-based description. The video shows a combination of exterior data of a driving scenario in combination with information about the drivers eyegaze. On the right side a resulting graph-based model is depicted which combines the states that are relevant for...

Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures

Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures

König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/DARUS-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]

This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm considers both the process requirements and the dynamic characteristics...

Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data

Mar 25, 2024 - Geostatistical Inversion

Xu, Teng, 2024, "Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data", https://doi.org/10.18419/DARUS-2382, DaRUS, V1, UNF:6:vW5NY5+W7Wy1GtNndUOs3Q== [fileUNF]

Description: Dataset published with the paper "Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison". You can use these data to generate the comparisons between the EnKF and the MCMC solution as seen in the paper. Folder structu...

Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives

Mar 21, 2024 - 2019_DFG_ZRA_Gleichlaufkompensation

Steinle, Lukas, 2024, "Replication Data for: Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-3759, DaRUS, V1, UNF:6:yyyPRR4Wz8WOv1lj5nOToA== [fileUNF]

This dataset contains all experimental data that is shown within the paper "Learning Compensation of the State-Dependent Transmission Errors in Rack-and-Pinion Drives". Rack-and-pinion drives are commonly used in large machine tools to provide linear motion of heavy loads over long travel distances. A key concern in this context is the achievable p...

Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL

Mar 19, 2024 - Scientific Computing

Bantel, Linus; Domanski, Peter, 2024, "Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL", https://doi.org/10.18419/DARUS-4085, DaRUS, V1, UNF:6:8MdHTluRf6u9Vntb4fvs/g== [fileUNF]

Recorded Data of the Swingup Task on the Inverted Cartpole IP-02 by Quanser. State transitions are as following: (pos, pos_dot, phi, phi_dot, action) -> (pos_new, pos_dot_new, phi_new, phi_dot_new) Actions are discrete from 0 to 8, with 4 being the zero-action. I.e. 0 and 8 are full force in either direction.

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

Mar 13, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"

Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/DARUS-3845, DaRUS, V1

In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess.

Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom

Mar 8, 2024 - Materials Design

Srinivasan, Prashanth; Demuriya, David; Grabowski, Blazej; Shapeev, Alexander, 2024, "Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom", https://doi.org/10.18419/DARUS-3891, DaRUS, V1

Data for "Srinivasan, P., Demuriya, D., Grabowski, B. et al. Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom. npj Comput Mater 10, 41 (2024). doi:10.1038/s41524-024-01222-9 The dataset contains three folders: Data for the four figures in the manuscript. This also includes the thermodynamic properties w...

Replication Data for: Development of a framework for point-particle tracking

Mar 7, 2024 - Usability and Sustainability of Simulation Software

Kschidock, Helena, 2024, "Replication Data for: Development of a framework for point-particle tracking", https://doi.org/10.18419/DARUS-3760, DaRUS, V1

This dataset contains a custom build for Altair's simulation software ultraFluidX and the input files used in the Master Thesis 'Development of an Euler-Lagrangian framework for point-particle tracking to enable efficient multiscale simulations of complex flows', submitted by Helena Kschidock on 02/11/2023. For further details on the input files, a...

NGS data related to Dossmann et al.: Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons

Mar 4, 2024 - Amplicon based bisulfite NGS data

Jeltsch, Albert; Bashtrykov, Pavel; Dossmann, Leonie; Emperle, Max, 2024, "NGS data related to Dossmann et al.: Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons", https://doi.org/10.18419/DARUS-3386, DaRUS, V1

Cloning and site-directed mutagenesis The gene of the catalytic, C-terminal domain of murine DNMT3C (amino acid residues 439-740 of P0DOY1) was obtained in E. coli codon optimized form from IDT Integrated DNA Technologies. The gene fragment was cloned with the StrataClone PCR Cloning Kit (Stratagene) into a StrataClone Vector Mix amp/kan (Stratagen...

Supporting Information: Notebooks, Solute Configurations and Solvation Free Energy Data

Mar 1, 2024 - A01: Molecular detail in ﬂuid simulations: Density Functional Theory within component and momentum balances

Bursik, Benjamin; Eller, Johannes; Gross, Joachim, 2024, "Supporting Information: Notebooks, Solute Configurations and Solvation Free Energy Data", https://doi.org/10.18419/DARUS-3756, DaRUS, V1, UNF:6:0QTV2eSt2s5RktyiTCTmAg== [fileUNF]

This dataset contains three types of data: 1) Jupyter notebooks (.ipynb) for the calculation of solvation free energies and for the recreation of all figures in the publication; 2) Gromacs files containing the solute and solvent topology (.gro, .itp, .top), the trajectories (.trr) and simulation parameter files (.mdp); 3) Results for solvation free...

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