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Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Mar 14, 2024 - PN 2-7 Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/darus-4093, DaRUS, V1 This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md.
Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data Mar 14, 2024 - PN 6A-4 Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/darus-4087, DaRUS, V1 Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├...
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 S...
ABxM.DistributedRobotics.RADr: Agent-based Design and Control of multiple Roaming Autonomous Distributed robots (RADr) Mar 13, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction' Leder, Samuel; Siriwardena, Lasath; Menges, Achim, 2024, "ABxM.DistributedRobotics.RADr: Agent-based Design and Control of multiple Roaming Autonomous Distributed robots (RADr)", https://doi.org/10.18419/darus-4058, DaRUS, V1 ABxM.DistributedRobotics.RADr is an add-on to ABxM.Core for agent-based design and control of multiple Roaming Autonomous Distributed robots (RADr) that assemble hexagonal digital materials. The add-on contains various agent system constructs and utilities for simulation of the s...
Supplementary material for `Dynamic renormalization of scalar active field theories` Mar 11, 2024 - Institute for Theoretical Physics IV Speck, Thomas; Papanikolaou, Nikos, 2024, "Supplementary material for `Dynamic renormalization of scalar active field theories`", https://doi.org/10.18419/darus-4073, DaRUS, V1 The following folders have Jupyter notebook files that are used to obtain the results we present in Section I.1, I.2, III.B, III.C, IV.A and IV.B and Appendix C and D and Figures 9, 10, 11, 13. To calculate the graphical corrections we extensively use the Python package ``restflo...
Compressible Two-Phase One-Fluid Solver (compressiblePhaseChangeFoam) Mar 11, 2024 - Multiphase Flow Gärtner, Jan Wilhelm, 2024, "Compressible Two-Phase One-Fluid Solver (compressiblePhaseChangeFoam)", https://doi.org/10.18419/darus-3886, DaRUS, V1 CompressibePhaseChangeFoam This dataset contains the compressible two-phase, one-fluid solver called compressiblePhaseChangeFoam, developed and maintained by the Institute for Combustion Technology in Stuttgart. Versions This dataset contains the full git repository of the compre...
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 figure...
Roaming Autonomous Distributed robot (RADr) Mar 5, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction' Leder, Samuel; Kragl, Philipp; Menges, Achim, 2024, "Roaming Autonomous Distributed robot (RADr)", https://doi.org/10.18419/darus-4059, DaRUS, V1 Roaming Autonomous Distributed robot (RADr) is a two-wheeled mobile robot that can assemble hexagonal digital materials. This dataset contains the 3D models for a RADr and a digital material that the RADr can actively grab with an electromagnet and move around (in 3dm and STEP fi...
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 Clo...
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...

Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Mar 14, 2024 - PN 2-7

Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/darus-4093, DaRUS, V1

This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md.

Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

Mar 14, 2024 - PN 6A-4

Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/darus-4087, DaRUS, V1

Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├...

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 S...

ABxM.DistributedRobotics.RADr: Agent-based Design and Control of multiple Roaming Autonomous Distributed robots (RADr)

Mar 13, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'

Leder, Samuel; Siriwardena, Lasath; Menges, Achim, 2024, "ABxM.DistributedRobotics.RADr: Agent-based Design and Control of multiple Roaming Autonomous Distributed robots (RADr)", https://doi.org/10.18419/darus-4058, DaRUS, V1

ABxM.DistributedRobotics.RADr is an add-on to ABxM.Core for agent-based design and control of multiple Roaming Autonomous Distributed robots (RADr) that assemble hexagonal digital materials. The add-on contains various agent system constructs and utilities for simulation of the s...

Supplementary material for `Dynamic renormalization of scalar active field theories`

Mar 11, 2024 - Institute for Theoretical Physics IV

Speck, Thomas; Papanikolaou, Nikos, 2024, "Supplementary material for `Dynamic renormalization of scalar active field theories`", https://doi.org/10.18419/darus-4073, DaRUS, V1

The following folders have Jupyter notebook files that are used to obtain the results we present in Section I.1, I.2, III.B, III.C, IV.A and IV.B and Appendix C and D and Figures 9, 10, 11, 13. To calculate the graphical corrections we extensively use the Python package ``restflo...

Compressible Two-Phase One-Fluid Solver (compressiblePhaseChangeFoam)

Mar 11, 2024 - Multiphase Flow

Gärtner, Jan Wilhelm, 2024, "Compressible Two-Phase One-Fluid Solver (compressiblePhaseChangeFoam)", https://doi.org/10.18419/darus-3886, DaRUS, V1

CompressibePhaseChangeFoam This dataset contains the compressible two-phase, one-fluid solver called compressiblePhaseChangeFoam, developed and maintained by the Institute for Combustion Technology in Stuttgart. Versions This dataset contains the full git repository of the compre...

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 figure...

Roaming Autonomous Distributed robot (RADr)

Mar 5, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'

Leder, Samuel; Kragl, Philipp; Menges, Achim, 2024, "Roaming Autonomous Distributed robot (RADr)", https://doi.org/10.18419/darus-4059, DaRUS, V1

Roaming Autonomous Distributed robot (RADr) is a two-wheeled mobile robot that can assemble hexagonal digital materials. This dataset contains the 3D models for a RADr and a digital material that the RADr can actively grab with an electromagnet and move around (in 3dm and STEP fi...

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 Clo...

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...

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