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61 to 70 of 96 Results

plot_cdf_mem.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 7.2 KB - SHA-256: 73fd7f86d87c2f191a47ac43f12357436c36303724df042e89b4ddce2ee573f4
plot_cdf_sizes.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 6.1 KB - SHA-256: 829a57774a5d185deb6187b7c2cc49f7ad4e970c85c885f8794d30843bb9981f
plot_mem_intensity.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 5.4 KB - SHA-256: 915c7840f3ae45b47ffeae28598cba82fe8e9af11e4f83bd7fcb2d1ab16796eb
README.md Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Markdown Text - 2.6 KB - SHA-256: 2117ce0874c6f349dabe22dd723fba1fa5e224a7fea78e097b6dcdefd92929dc
Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Jun 18, 2024 - Visualization Baker, Dirk; Zielasko, Daniel, 2024, "Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction", https://doi.org/10.26165/JUELICH-DATA/B9SBOS, Jülich DATA, V1 VRoot Study Data This data has been collected during our user study analysing VRoot, an application for immersive root system architecture reconstruction. The study was a human participant mixed design laboratory study (n=20-1). Ethics approval was granted by the University of Tr...
noisy_111x111x100.raw Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Bitmap Image - 1.2 MB - SHA-256: 06c45083f6d841a01ec6b0baccd29ef4d775a35691aa12da6d5d4bc019ab3ea8 Spacing 0.5 0.5 1
objective.csv Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Comma Separated Values - 9.1 KB - SHA-256: 67afa7d2a6ddcc8cf7b684ce62992bc018d0f8a2aebc99073f1f88fbac3b94cc
study_111x111x100.raw Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Bitmap Image - 1.2 MB - SHA-256: caff5f629a386214a80d2a3b9c4e7c5d971129010c9027bb060c56b1c9a75148 Spacing 0.5 0.5 1
subjective.csv Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Comma Separated Values - 857 B - SHA-256: 4cbceea79d600519bebd9dc067d0cd51d7fb6e05bbc2b5f2a9bf628feff96abc
survey.zip.archive Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Unknown - 2.1 MB - SHA-256: 3db4264cf0970091bcaa651256e71ec7e20e2174821e0768010f5912d4acba9c

plot_cdf_mem.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 7.2 KB - SHA-256: 73fd7f86d87c2f191a47ac43f12357436c36303724df042e89b4ddce2ee573f4

plot_cdf_sizes.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 6.1 KB - SHA-256: 829a57774a5d185deb6187b7c2cc49f7ad4e970c85c885f8794d30843bb9981f

plot_mem_intensity.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 5.4 KB - SHA-256: 915c7840f3ae45b47ffeae28598cba82fe8e9af11e4f83bd7fcb2d1ab16796eb

README.md

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Markdown Text - 2.6 KB - SHA-256: 2117ce0874c6f349dabe22dd723fba1fa5e224a7fea78e097b6dcdefd92929dc

Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Jun 18, 2024 - Visualization

Baker, Dirk; Zielasko, Daniel, 2024, "Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction", https://doi.org/10.26165/JUELICH-DATA/B9SBOS, Jülich DATA, V1

VRoot Study Data This data has been collected during our user study analysing VRoot, an application for immersive root system architecture reconstruction. The study was a human participant mixed design laboratory study (n=20-1). Ethics approval was granted by the University of Tr...

noisy_111x111x100.raw

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Bitmap Image - 1.2 MB - SHA-256: 06c45083f6d841a01ec6b0baccd29ef4d775a35691aa12da6d5d4bc019ab3ea8

Spacing 0.5 0.5 1

objective.csv

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Comma Separated Values - 9.1 KB - SHA-256: 67afa7d2a6ddcc8cf7b684ce62992bc018d0f8a2aebc99073f1f88fbac3b94cc

study_111x111x100.raw

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Bitmap Image - 1.2 MB - SHA-256: caff5f629a386214a80d2a3b9c4e7c5d971129010c9027bb060c56b1c9a75148

Spacing 0.5 0.5 1

subjective.csv

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Comma Separated Values - 857 B - SHA-256: 4cbceea79d600519bebd9dc067d0cd51d7fb6e05bbc2b5f2a9bf628feff96abc

survey.zip.archive

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Unknown - 2.1 MB - SHA-256: 3db4264cf0970091bcaa651256e71ec7e20e2174821e0768010f5912d4acba9c

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