Jülich DATA

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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

This service is managed by the Central Library. Please see our guide about how to use this service or feel free to reach out via email to forschungsdaten@fz-juelich.de.

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17,841 to 17,850 of 20,470 Results

kmap_Cu110_0530001_BE0.10.hdf5 Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation Hierarchical Data Format - 1.6 MB - SHA-256: 65255a33a39bbf45428cf563e5b92222b16e23d4c09ed3a481c625bc652948a8
kmap_Cu110_0530001_BE0.13eV.hdf5 Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation Hierarchical Data Format - 1.6 MB - SHA-256: 6ad28ae818299a5b14335ad732ed353373ed8092fcb11707c00e752752d31520
kmap_Cu110_0530001_BE0.23.hdf5 Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation Hierarchical Data Format - 1.6 MB - SHA-256: b2dd707e80227fb2c6e3dc3826b77874a9610cd790f9456be392e2d20be3946f
kmap_Cu110_082_BE0.13.hdf5 Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation Hierarchical Data Format - 1.4 MB - SHA-256: 01eb2530caa71857766727b4a49a32f21ed83208f7e85ac817dca59de955c174
kmap_Cu110_082_BE0.23.hdf5 Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation Hierarchical Data Format - 1.4 MB - SHA-256: 48ba6b763d0e932c745d49565494e81d5eb4f6b324f2905683b8778c5a6cd073
kmap_Cu110_25lay_a3.61_BE0.22.hdf5 Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation Hierarchical Data Format - 5.0 MB - SHA-256: fb3d616b6085d66b2b1e0c9f8331f0d88966876551b6e01f4548f5e897b672e7
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...
md5sum.txt Aug 31, 2022 - 2m Temperature Forecast by Deep Learning Plain Text - 471 B - SHA-256: 63f2e461ba77a72bb4c47e4dc600c02015209f175e6849f18b0fad3f7cb6a859 md5 hash values for data stored on datapub
Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe' Aug 29, 2022 - Campus Collection Tesch, Tobias; Kollet, Stefan; Garcke, Jochen; Katragkou, Eleni; Kartsios, Stergios, 2022, "Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'", https://doi.org/10.26165/JUELICH-DATA/YO3JCM, Jülich DATA, V1 This is a data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe', submitted to Geophysical Research Letters. It contains data from a convection-permitting (CP) simulation across central Europe. The simulation was perf...
clwvi_2000.nc Aug 29, 2022 - Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe' Plain Text - 911.4 MB - SHA-256: be54c07a24b0d83a6e670cd4e5b9fe33b207cbd92517c989b8b96a2487d11d77

kmap_Cu110_0530001_BE0.10.hdf5

Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation

Hierarchical Data Format - 1.6 MB - SHA-256: 65255a33a39bbf45428cf563e5b92222b16e23d4c09ed3a481c625bc652948a8

kmap_Cu110_0530001_BE0.13eV.hdf5

Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation

Hierarchical Data Format - 1.6 MB - SHA-256: 6ad28ae818299a5b14335ad732ed353373ed8092fcb11707c00e752752d31520

kmap_Cu110_0530001_BE0.23.hdf5

Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation

Hierarchical Data Format - 1.6 MB - SHA-256: b2dd707e80227fb2c6e3dc3826b77874a9610cd790f9456be392e2d20be3946f

kmap_Cu110_082_BE0.13.hdf5

Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation

Hierarchical Data Format - 1.4 MB - SHA-256: 01eb2530caa71857766727b4a49a32f21ed83208f7e85ac817dca59de955c174

kmap_Cu110_082_BE0.23.hdf5

Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation

Hierarchical Data Format - 1.4 MB - SHA-256: 48ba6b763d0e932c745d49565494e81d5eb4f6b324f2905683b8778c5a6cd073

kmap_Cu110_25lay_a3.61_BE0.22.hdf5

Sep 2, 2022 - Data used in: Momentum-selective orbital hybridisation

Hierarchical Data Format - 5.0 MB - SHA-256: fb3d616b6085d66b2b1e0c9f8331f0d88966876551b6e01f4548f5e897b672e7

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...

md5sum.txt

Aug 31, 2022 - 2m Temperature Forecast by Deep Learning

Plain Text - 471 B - SHA-256: 63f2e461ba77a72bb4c47e4dc600c02015209f175e6849f18b0fad3f7cb6a859

md5 hash values for data stored on datapub

Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'

Aug 29, 2022 - Campus Collection

Tesch, Tobias; Kollet, Stefan; Garcke, Jochen; Katragkou, Eleni; Kartsios, Stergios, 2022, "Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'", https://doi.org/10.26165/JUELICH-DATA/YO3JCM, Jülich DATA, V1

This is a data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe', submitted to Geophysical Research Letters. It contains data from a convection-permitting (CP) simulation across central Europe. The simulation was perf...

clwvi_2000.nc

Aug 29, 2022 - Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'

Plain Text - 911.4 MB - SHA-256: be54c07a24b0d83a6e670cd4e5b9fe33b207cbd92517c989b8b96a2487d11d77

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