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Funding Information Agency: BMBF

1 to 10 of 806 Results

Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes" Apr 2, 2024 - 3rd Physics Institute Körber, Jonathan; Heiler, Jonah, 2024, "Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes"", https://doi.org/10.18419/darus-3982, DaRUS, V1, UNF:6:47fN8IWW9lCmomcyi4yOOg== [fileUNF] CSV data sets to reproduce all plots in the paper and the Supplementary Information
Percentile Intervals in Bayesian Inference are Overconfident Mar 19, 2024 - Institute for Stochastics and Applications Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1 This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material)....
CNVVE Dataset clean audio samples Feb 13, 2024 - Analytic Computing Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "CNVVE Dataset clean audio samples", https://doi.org/10.18419/darus-3898, DaRUS, V1 This CNVVE Dataset contains clean audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective...
Code for Training and Testing CNVVE Feb 13, 2024 - Analytic Computing Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/darus-3896, DaRUS, V1 This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for...
Raw audio samples of the CNVVE dataset Feb 13, 2024 - Analytic Computing Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Raw audio samples of the CNVVE dataset", https://doi.org/10.18419/darus-3897, DaRUS, V1 This CNVVE Dataset contains raw audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective fo...
SynDAB Dataset Jan 23, 2024 - SynDAB Müller, Manuel; Hagmanns, Raphael; Petereit, Janko; Egloffstein, Thomas; Weyrich, Lucas; Ebert, Christof; Weyrich, Michael, 2024, "SynDAB Dataset", https://doi.org/10.18419/darus-3758, DaRUS, V1 The dataset comprises a collection of images captured from the perspective of an excavator. The images depict a landfill with various environmental contexts. Specifically, various type of barrels are contained. Moreover, the dataset contains the simulated LiDAR data of these scen...
Replication Data for: Dopant-assisted stabilization of negatively charged single nitrogen-vacancy centers in phosphorus-doped diamond at low temperatures Oct 11, 2023 - 3rd Physics Institute Shalomayeva, Tetyana, 2023, "Replication Data for: Dopant-assisted stabilization of negatively charged single nitrogen-vacancy centers in phosphorus-doped diamond at low temperatures", https://doi.org/10.18419/darus-3734, DaRUS, V1, UNF:6:hxajGD1ljHHsxMwFLm1PZA== [fileUNF] Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of every subfigure. The experimental data is collected using the low-temperature confocal microscope. The fluorescence of Nitrogen-Vacancy centers in phosphorus-dop...
Supplemental Material for "Efficient Sphere Rendering Revisited" Jun 30, 2023 - Visualisierungsinstitut der Universität Stuttgart Gralka, Patrick; Reina, Guido; Ertl, Thomas, 2023, "Supplemental Material for "Efficient Sphere Rendering Revisited"", https://doi.org/10.18419/darus-3458, DaRUS, V1, UNF:6:VW7v4J+gjbFfXZ4iHlkqaw== [fileUNF] This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in the visualization software MegaMol on the following hardware: AMD Ryzen 9 5900X (12c @ 4.7GHz); 64GB DDR...
Supporting Information for Rapid Particle-based Simulations of Cellular Signalling with the FLAME-accelerated Signalling Tool (FaST) and GPUs Apr 27, 2023 - Supporting Information for Publications Fullstone, Gavin, 2023, "Supporting Information for Rapid Particle-based Simulations of Cellular Signalling with the FLAME-accelerated Signalling Tool (FaST) and GPUs", https://doi.org/10.18419/darus-2175, DaRUS, V1 This folder contains expected inputs and outputs from the example model used in the paper "Rapid Particle-based Simulations of Cellular Signalling with the FLAME-accelerated Signalling Tool (FaST) and GPUs". These can be used to troubleshoot unexpected problems.
Self-diffusion coefficients of simulated aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...

Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes"

Apr 2, 2024 - 3rd Physics Institute

Körber, Jonathan; Heiler, Jonah, 2024, "Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes"", https://doi.org/10.18419/darus-3982, DaRUS, V1, UNF:6:47fN8IWW9lCmomcyi4yOOg== [fileUNF]

CSV data sets to reproduce all plots in the paper and the Supplementary Information

Percentile Intervals in Bayesian Inference are Overconfident

Mar 19, 2024 - Institute for Stochastics and Applications

Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1

This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material)....

CNVVE Dataset clean audio samples

Feb 13, 2024 - Analytic Computing

Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "CNVVE Dataset clean audio samples", https://doi.org/10.18419/darus-3898, DaRUS, V1

This CNVVE Dataset contains clean audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective...

Code for Training and Testing CNVVE

Feb 13, 2024 - Analytic Computing

Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/darus-3896, DaRUS, V1

This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for...

Raw audio samples of the CNVVE dataset

Feb 13, 2024 - Analytic Computing

Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Raw audio samples of the CNVVE dataset", https://doi.org/10.18419/darus-3897, DaRUS, V1

This CNVVE Dataset contains raw audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective fo...

SynDAB Dataset

Jan 23, 2024 - SynDAB

Müller, Manuel; Hagmanns, Raphael; Petereit, Janko; Egloffstein, Thomas; Weyrich, Lucas; Ebert, Christof; Weyrich, Michael, 2024, "SynDAB Dataset", https://doi.org/10.18419/darus-3758, DaRUS, V1

The dataset comprises a collection of images captured from the perspective of an excavator. The images depict a landfill with various environmental contexts. Specifically, various type of barrels are contained. Moreover, the dataset contains the simulated LiDAR data of these scen...

Replication Data for: Dopant-assisted stabilization of negatively charged single nitrogen-vacancy centers in phosphorus-doped diamond at low temperatures

Oct 11, 2023 - 3rd Physics Institute

Shalomayeva, Tetyana, 2023, "Replication Data for: Dopant-assisted stabilization of negatively charged single nitrogen-vacancy centers in phosphorus-doped diamond at low temperatures", https://doi.org/10.18419/darus-3734, DaRUS, V1, UNF:6:hxajGD1ljHHsxMwFLm1PZA== [fileUNF]

Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of every subfigure. The experimental data is collected using the low-temperature confocal microscope. The fluorescence of Nitrogen-Vacancy centers in phosphorus-dop...

Supplemental Material for "Efficient Sphere Rendering Revisited"

Jun 30, 2023 - Visualisierungsinstitut der Universität Stuttgart

Gralka, Patrick; Reina, Guido; Ertl, Thomas, 2023, "Supplemental Material for "Efficient Sphere Rendering Revisited"", https://doi.org/10.18419/darus-3458, DaRUS, V1, UNF:6:VW7v4J+gjbFfXZ4iHlkqaw== [fileUNF]

This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in the visualization software MegaMol on the following hardware: AMD Ryzen 9 5900X (12c @ 4.7GHz); 64GB DDR...

Supporting Information for Rapid Particle-based Simulations of Cellular Signalling with the FLAME-accelerated Signalling Tool (FaST) and GPUs

Apr 27, 2023 - Supporting Information for Publications

Fullstone, Gavin, 2023, "Supporting Information for Rapid Particle-based Simulations of Cellular Signalling with the FLAME-accelerated Signalling Tool (FaST) and GPUs", https://doi.org/10.18419/darus-2175, DaRUS, V1

This folder contains expected inputs and outputs from the example model used in the paper "Rapid Particle-based Simulations of Cellular Signalling with the FLAME-accelerated Signalling Tool (FaST) and GPUs". These can be used to troubleshoot unexpected problems.

Self-diffusion coefficients of simulated aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1

In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...

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