Stuttgart Center for Simulation Science (SC SimTech)

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License: MIT License

1 to 10 of 368 Results

Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections May 27, 2024 - PN 6-4 Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/darus-3553, DaRUS, V1 Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in t...
visualQuality_v1.0.zip May 27, 2024 - Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections ZIP Archive - 49.8 MB - MD5: 1a0068dfe91e3d7cd41a2d0ee2b668fe Source code of our visual analysis system to explore multidimensional time series projections.
Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories Mar 27, 2024 - Publication Tools Roy, Sarbani; Wang, Fangfang; Gläser, Dennis, 2024, "Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories", https://doi.org/10.18419/darus-3785, DaRUS, V1 Harvester-Curator is a tool, designed to elevate metadata provision in data repositories. In the first phase, Harvester-Curator acts as a scanner, navigating through user code and/or data repositories to identify suitable parsers for different file types. It collects metadata fro...
harvester-curator.tar.gz Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories Gzip Archive - 100.3 MB - MD5: dcb76595e76952f151b611808b1c14ea Source code for harvester-curator tool
README.md Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories Markdown Text - 11.0 KB - MD5: 09aba0eb7d829de7e225ad477a5d9109
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.
analytic_model.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 12.2 KB - MD5: 5a5b05bfd7f5325a59640df493b1b879
eval_logistic_sigma_a.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 4.4 KB - MD5: 453bcad1a7681fbc5dc19107d331ae02
eval_sbc_logistic_helpers.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 3.1 KB - MD5: ae9772754376d5235a8dc6767ebf9990
eval_sbc_logistic.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 6.8 KB - MD5: 85ec9aca05f165773c0e69e5e5adc6ff

Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections

May 27, 2024 - PN 6-4

Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/darus-3553, DaRUS, V1

Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in t...

visualQuality_v1.0.zip

May 27, 2024 - Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections

ZIP Archive - 49.8 MB -

Source code of our visual analysis system to explore multidimensional time series projections.

Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories

Mar 27, 2024 - Publication Tools

Roy, Sarbani; Wang, Fangfang; Gläser, Dennis, 2024, "Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories", https://doi.org/10.18419/darus-3785, DaRUS, V1

Harvester-Curator is a tool, designed to elevate metadata provision in data repositories. In the first phase, Harvester-Curator acts as a scanner, navigating through user code and/or data repositories to identify suitable parsers for different file types. It collects metadata fro...

harvester-curator.tar.gz

Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories

Gzip Archive - 100.3 MB -

Source code for harvester-curator tool

README.md

Mar 27, 2024 - Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories

Markdown Text - 11.0 KB -

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.

analytic_model.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 12.2 KB -

eval_logistic_sigma_a.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 4.4 KB -

eval_sbc_logistic_helpers.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 3.1 KB -

eval_sbc_logistic.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 6.8 KB -

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