Jülich Supercomputing Centre (JSC)

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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
tracings.zip.archive Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Unknown - 3.5 MB - SHA-256: b9f49559119a1c8967627e4e5ab2d0ffc2d5661f62ca0ec6d4f4d5cf34844617 Remove the .archive ending before unzipping
training_111x111x190.raw Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Bitmap Image - 2.2 MB - SHA-256: e0a60bf9a79c0ead7419162504f96528f5d00767180f9f2a510ff433a9c4707b Spacing 0.5 0.5 1
ueq.csv Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Comma Separated Values - 2.0 KB - SHA-256: aba3039b25deb6966ab8363cb45d5f2820b439a6c0f2c56bd2b0d97c39ea6fa0
Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions Nov 29, 2023 - Quantum Information Processing Willsch, Dennis; Rieger, Dennis, 2023, "Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions", https://doi.org/10.26165/JUELICH-DATA/LGRHUH, Jülich DATA, V2 This repository contains the spectroscopy data and the model parameters along with a Jupyter notebook that demonstrates how to diagonalize the transmon-resonator Hamiltonians using tensorflow, verify the model parameters, and reproduce some of the figures from the corresponding p...
README.txt Nov 29, 2023 - Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions Plain Text - 97 B - SHA-256: 862af1955f50b373cbc7005cc97e6708dd6b575fba57489637be514034f5d4a0
Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism Apr 21, 2023 - Quantum Materials Matrix Collection Di Napoli, Edoardo, 2023, "Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism", https://doi.org/10.26165/JUELICH-DATA/OFQWGZ, Jülich DATA, V1 This dataset includes a set of matrices generated by Condensed Matter simulation software which were used to test the ChASE library in the manuscript bearing the same title as the dataset, and submitted to SC23 conference. Each Hermitian matrix is stored in double precision as a...
AIRS/Aqua Observations of non-LTE Emissions Mar 16, 2023 - Earth System Science Hoffmann, Lars, 2023, "AIRS/Aqua Observations of non-LTE Emissions", https://doi.org/10.26165/JUELICH-DATA/PHL4EE, Jülich DATA, V1 This data repository provides access to observations of carbon dioxide non-LTE emissions provided by the Atmospheric Infrared Sounder (AIRS) aboard NASA's Aqua satellite. Information on carbon dioxide non-LTE emissions is derived by a brightness temperature differencing technique...
2m Temperature Forecast by Deep Learning Aug 31, 2022 - Earth System Science Gong, Bing; Langguth, Michael; Ji, Yan; Mozaffari, Amirpasha; Stadtler, Scarlet; Mache, Karim; Schultz, Martin G., 2022, "2m Temperature Forecast by Deep Learning", https://doi.org/10.26165/JUELICH-DATA/X5HPXP, Jülich DATA, V2 This repository provides the preprocessed datasets, which are used in the study Temperature forecasting by deep learning methods by Gong et al. (2022). This allows the user to reproduce the presented results without running the preprocessing chain from the raw ERA5 data. Data des...

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

tracings.zip.archive

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

Unknown - 3.5 MB - SHA-256: b9f49559119a1c8967627e4e5ab2d0ffc2d5661f62ca0ec6d4f4d5cf34844617

Remove the .archive ending before unzipping

training_111x111x190.raw

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

Bitmap Image - 2.2 MB - SHA-256: e0a60bf9a79c0ead7419162504f96528f5d00767180f9f2a510ff433a9c4707b

Spacing 0.5 0.5 1

ueq.csv

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

Comma Separated Values - 2.0 KB - SHA-256: aba3039b25deb6966ab8363cb45d5f2820b439a6c0f2c56bd2b0d97c39ea6fa0

Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions

Nov 29, 2023 - Quantum Information Processing

Willsch, Dennis; Rieger, Dennis, 2023, "Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions", https://doi.org/10.26165/JUELICH-DATA/LGRHUH, Jülich DATA, V2

This repository contains the spectroscopy data and the model parameters along with a Jupyter notebook that demonstrates how to diagonalize the transmon-resonator Hamiltonians using tensorflow, verify the model parameters, and reproduce some of the figures from the corresponding p...

README.txt

Nov 29, 2023 - Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions

Plain Text - 97 B - SHA-256: 862af1955f50b373cbc7005cc97e6708dd6b575fba57489637be514034f5d4a0

Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism

Apr 21, 2023 - Quantum Materials Matrix Collection

Di Napoli, Edoardo, 2023, "Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism", https://doi.org/10.26165/JUELICH-DATA/OFQWGZ, Jülich DATA, V1

This dataset includes a set of matrices generated by Condensed Matter simulation software which were used to test the ChASE library in the manuscript bearing the same title as the dataset, and submitted to SC23 conference. Each Hermitian matrix is stored in double precision as a...

AIRS/Aqua Observations of non-LTE Emissions

Mar 16, 2023 - Earth System Science

Hoffmann, Lars, 2023, "AIRS/Aqua Observations of non-LTE Emissions", https://doi.org/10.26165/JUELICH-DATA/PHL4EE, Jülich DATA, V1

This data repository provides access to observations of carbon dioxide non-LTE emissions provided by the Atmospheric Infrared Sounder (AIRS) aboard NASA's Aqua satellite. Information on carbon dioxide non-LTE emissions is derived by a brightness temperature differencing technique...

2m Temperature Forecast by Deep Learning

Aug 31, 2022 - Earth System Science

Gong, Bing; Langguth, Michael; Ji, Yan; Mozaffari, Amirpasha; Stadtler, Scarlet; Mache, Karim; Schultz, Martin G., 2022, "2m Temperature Forecast by Deep Learning", https://doi.org/10.26165/JUELICH-DATA/X5HPXP, Jülich DATA, V2

This repository provides the preprocessed datasets, which are used in the study Temperature forecasting by deep learning methods by Gong et al. (2022). This allows the user to reproduce the presented results without running the preprocessing chain from the raw ERA5 data. Data des...

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