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Software Name: Python License: GPL 3.0 or later

1 to 4 of 4 Results

Replication Code for: Meta-Uncertainty in Bayesian Model Comparison May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/darus-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF] This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper)....
Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass Mar 13, 2023 - CHOLife_TUHH_LSP_tracking Hofmann, Sebastian; Rautenbach, Ryan, 2023, "Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass", https://doi.org/10.18419/darus-3314, DaRUS, V1 Data for 2D Lagrangian Particle tracking and evaluation for their hydrodynamic characteristics ## Abstract This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algor...
Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples Oct 21, 2022 - C-X2 Hommel, Johannes; Gehring, Luca, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples", https://doi.org/10.18419/darus-1713, DaRUS, V1, UNF:6:vBpJde3Meqz5+FeRU6TReA== [fileUNF] This data set includes processed image data from three experiments on enzymatically induced carbonate precipitation ( further named low-, medium-, and high-mineralization or column 10, column 3, and column 4, respectively). Related data sets with the CT data this data set is base...
Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5 Oct 11, 2022 - SFB-TRR 161 B07 "Computational Uncertainty Quantification" Beschle, Cedric; Barth, Andrea, 2022, "Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5", https://doi.org/10.18419/darus-3154, DaRUS, V1 Python code to generate the meshes and FEM solutions to Section 5 of the paper Uncertainty visualization: Fundamentals and recent developments. Comments are in the code to explain it. Paraview is used for the visualization.

Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison

Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/darus-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF]

This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper)....

Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass

Mar 13, 2023 - CHOLife_TUHH_LSP_tracking

Hofmann, Sebastian; Rautenbach, Ryan, 2023, "Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass", https://doi.org/10.18419/darus-3314, DaRUS, V1

Data for 2D Lagrangian Particle tracking and evaluation for their hydrodynamic characteristics ## Abstract This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algor...

Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples

Oct 21, 2022 - C-X2

Hommel, Johannes; Gehring, Luca, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples", https://doi.org/10.18419/darus-1713, DaRUS, V1, UNF:6:vBpJde3Meqz5+FeRU6TReA== [fileUNF]

This data set includes processed image data from three experiments on enzymatically induced carbonate precipitation ( further named low-, medium-, and high-mineralization or column 10, column 3, and column 4, respectively). Related data sets with the CT data this data set is base...

Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5

Oct 11, 2022 - SFB-TRR 161 B07 "Computational Uncertainty Quantification"

Beschle, Cedric; Barth, Andrea, 2022, "Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5", https://doi.org/10.18419/darus-3154, DaRUS, V1

Python code to generate the meshes and FEM solutions to Section 5 of the paper Uncertainty visualization: Fundamentals and recent developments. Comments are in the code to explain it. Paraview is used for the visualization.

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