SFB-TRR 161 INF "Collaboration Infrastructure"

Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario.

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21 to 30 of 380 Results

6. Supplemental Materials.pdf Dec 19, 2024 - Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data Adobe PDF - 10.2 MB - MD5: c5f2153365b1dd578d94047f7d95568c
SFB/Transregio 161 Data Management Plan 2023-2027 Aug 20, 2024 Müller, Christoph, 2024, "SFB/Transregio 161 Data Management Plan 2023-2027", https://doi.org/10.18419/DARUS-4452, DaRUS, V1 The participating universities in SFB/Transregio 161 acknowledge the general importance of re-search data management as a vital issue for all of their work and provide increasing central sup-port for long-term accessibility and reusability of data, documentation of methods and tools and privacy protection. However, technical and organisational offe...
Data Management Plan 2023 - 2027.docx Aug 20, 2024 - SFB/Transregio 161 Data Management Plan 2023-2027 MS Word - 222.9 KB - MD5: 17abfb3a5900ca7f39fb01d082058ef7
Data Management Plan 2023 - 2027.pdf Aug 20, 2024 - SFB/Transregio 161 Data Management Plan 2023-2027 Adobe PDF - 877.7 KB - MD5: b8646aa74035e0a00a13fbe9cdda461e The data management plan of SFB-TRR 161
Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes" Jul 30, 2024 - Visualisierungsinstitut der Universität Stuttgart Gralka, Patrick; Müller, Christoph; Heinemann, Moritz; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"", https://doi.org/10.18419/DARUS-4256, DaRUS, V1, UNF:6:+e/WFL9E6WB+2FvGNOvcGA== [fileUNF] Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes". Contains the aggregated energy consumption data from the experiments in the paper. The application under test was MegaMol with two OpenGL-based sphere rasterization rendering methods (data static on GPU, data streaming to GPU) and OptiX-based sphere ray tracing.
aggregated.tab Jul 30, 2024 - Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes" Tabular Data - 1.5 KB - 14 Variables, 14 Observations - UNF:6:+e/WFL9E6WB+2FvGNOvcGA==
Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data) Jun 21, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences" Bienroth, Denis; Charitakis, Natalie; Jaeger-Honz, Sabrina; Garkov, Dimitar; Elliott, David; Porrello, Enzo R.; Klein, Karsten; Nim, Hieu T.; Schreiber, Falk; Ramialison, Mirana, 2024, "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)", https://doi.org/10.18419/DARUS-4254, DaRUS, V1 Here, we summarise available data and source code regarding the publication "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics". Abstract Spatially resolved transcriptomics (SRT) technologies produce complex, multi-dimensional data sets of gene expression information that can be obtained at subcellular s...
Documentation_VR-Omics.pdf Jun 21, 2024 - Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data) Adobe PDF - 75.2 MB - MD5: 2db5ca6463573d52064a02337e389c4c Download instructions and documentation of VR-OMICS.
Test_Data_VR-Omics.zip Jun 21, 2024 - Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data) ZIP Archive - 3.0 GB - MD5: 8ca5463617e55fabd17cc70341c501eb Test data generated for use with VR-Omics for different spatial transcriptomics sequencing techniqes.
VR_Omics.zip Jun 21, 2024 - Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data) ZIP Archive - 4.9 GB - MD5: c4eeacd8cee7ac73b059d018b5df008e Software VR-Omics (containing Python AW and Visualiser)

6. Supplemental Materials.pdf

Dec 19, 2024 - Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data

Adobe PDF - 10.2 MB -

SFB/Transregio 161 Data Management Plan 2023-2027

Aug 20, 2024

Müller, Christoph, 2024, "SFB/Transregio 161 Data Management Plan 2023-2027", https://doi.org/10.18419/DARUS-4452, DaRUS, V1

The participating universities in SFB/Transregio 161 acknowledge the general importance of re-search data management as a vital issue for all of their work and provide increasing central sup-port for long-term accessibility and reusability of data, documentation of methods and tools and privacy protection. However, technical and organisational offe...

Data Management Plan 2023 - 2027.docx

Aug 20, 2024 - SFB/Transregio 161 Data Management Plan 2023-2027

MS Word - 222.9 KB -

Data Management Plan 2023 - 2027.pdf

Aug 20, 2024 - SFB/Transregio 161 Data Management Plan 2023-2027

Adobe PDF - 877.7 KB -

The data management plan of SFB-TRR 161

Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"

Jul 30, 2024 - Visualisierungsinstitut der Universität Stuttgart

Gralka, Patrick; Müller, Christoph; Heinemann, Moritz; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"", https://doi.org/10.18419/DARUS-4256, DaRUS, V1, UNF:6:+e/WFL9E6WB+2FvGNOvcGA== [fileUNF]

Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes". Contains the aggregated energy consumption data from the experiments in the paper. The application under test was MegaMol with two OpenGL-based sphere rasterization rendering methods (data static on GPU, data streaming to GPU) and OptiX-based sphere ray tracing.

aggregated.tab

Jul 30, 2024 - Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"

Tabular Data - 1.5 KB - 14 Variables, 14 Observations -

Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)

Jun 21, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"

Bienroth, Denis; Charitakis, Natalie; Jaeger-Honz, Sabrina; Garkov, Dimitar; Elliott, David; Porrello, Enzo R.; Klein, Karsten; Nim, Hieu T.; Schreiber, Falk; Ramialison, Mirana, 2024, "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)", https://doi.org/10.18419/DARUS-4254, DaRUS, V1

Here, we summarise available data and source code regarding the publication "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics". Abstract Spatially resolved transcriptomics (SRT) technologies produce complex, multi-dimensional data sets of gene expression information that can be obtained at subcellular s...

Documentation_VR-Omics.pdf

Jun 21, 2024 - Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)

Adobe PDF - 75.2 MB -

Download instructions and documentation of VR-OMICS.

Test_Data_VR-Omics.zip

Jun 21, 2024 - Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)

ZIP Archive - 3.0 GB -

Test data generated for use with VR-Omics for different spatial transcriptomics sequencing techniqes.

VR_Omics.zip

Jun 21, 2024 - Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)

ZIP Archive - 4.9 GB -

Software VR-Omics (containing Python AW and Visualiser)

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