DaRUS

Metrics

1,356,680 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Funding Information Agency: BMBF

11 to 20 of 810 Results

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...
Densities of simulated aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3112, 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...
Self-diffusion coefficients of simulated aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, 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...
Densities of simulated aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3113, 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...
User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus" Sep 28, 2022 - Institute for Modelling and Simulation of Biomechanical Systems Saini, Harnoor, 2022, "User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"", https://doi.org/10.18419/darus-2229, DaRUS, V1 Background and Objective: Many biomedical, clinical, and industrial applications may benefit from musculoskeletal simulations. Three-dimensional macroscopic muscle models (3D models) can more accurately represent muscle architecture than their 1D (line-segment) counterparts. Neve...
3D CT-Data for KK17/5-09 Jul 29, 2022 - KK17/5-09 Kurskreisel-Komponente Mammadov, Gasim; Schweizer, Timo; Niklaus, Maria, 2021, "3D CT-Data for KK17/5-09", https://doi.org/10.18419/darus-1841, DaRUS, V2 Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means. This dataset is part of the digital gyroscope collection. For more information about the collection and it...
Information about KH22-10 Jul 29, 2022 - KH22-10 Künstlicher Horizont Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Wagner, Jörg F.; Zhan, Kun, 2021, "Information about KH22-10", https://doi.org/10.18419/darus-1486, DaRUS, V2 Pdf list containing all information collected about this object. For more information see entry in Goobi. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 20...

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...

Densities of simulated aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3112, DaRUS, V1

Self-diffusion coefficients of simulated aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1

Densities of simulated aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3113, DaRUS, V1

User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"

Sep 28, 2022 - Institute for Modelling and Simulation of Biomechanical Systems

Saini, Harnoor, 2022, "User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"", https://doi.org/10.18419/darus-2229, DaRUS, V1

Background and Objective: Many biomedical, clinical, and industrial applications may benefit from musculoskeletal simulations. Three-dimensional macroscopic muscle models (3D models) can more accurately represent muscle architecture than their 1D (line-segment) counterparts. Neve...

3D CT-Data for KK17/5-09

Jul 29, 2022 - KK17/5-09 Kurskreisel-Komponente

Mammadov, Gasim; Schweizer, Timo; Niklaus, Maria, 2021, "3D CT-Data for KK17/5-09", https://doi.org/10.18419/darus-1841, DaRUS, V2

Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means. This dataset is part of the digital gyroscope collection. For more information about the collection and it...

Information about KH22-10

Jul 29, 2022 - KH22-10 Künstlicher Horizont

Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Wagner, Jörg F.; Zhan, Kun, 2021, "Information about KH22-10", https://doi.org/10.18419/darus-1486, DaRUS, V2

Pdf list containing all information collected about this object. For more information see entry in Goobi. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 20...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications