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Campus Collection (Forschungszentrum Jülich GmbH)
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MATLAB Data - 79.2 KB - SHA-256: 40a3133750abbfa6d219812b4eb946b54f25dc158188b1f97216c61fa7cfb9a3
Markdown Text - 4.3 KB - SHA-256: 2adf9bbcfc0a2422b8d85f1bb741c850e1b7ca9abccaeed264408d82b2d28d2f
Sep 7, 2022
Chen, Ying-Jiun; Jan-Philipp Hanke; Markus Hoffmann; Gustav Bihlmayer; Yuriy Mokrousov; Stefan Blügel; Claus M. Schneider; Christian Tusche, 2022, "Data used in: Spanning Fermi arcs in a two-dimensional magnet", https://doi.org/10.26165/JUELICH-DATA/CXWKMJ, Jülich DATA, V1
We provide here the raw data used to produce the figures in the publication Y.J. Chen et al. XXXXXXX, XX, XXXX, DOI: XXXXXXXX. All metadata necessary to analyze the data are contained in the files.
Fixed Field Text Data - 9.5 MB - SHA-256: 81451dfa5f3fb34f157e4a445f982b90673afe1029344ba082bed1bd4790e812
First-principles calculations of the mixed Berry curvature distribution for magnetization at 110°.
Fixed Field Text Data - 9.5 MB - SHA-256: 8b64efc501c0cac8306ba7dc677bcdc5727ca7b5aed5c3b0ce7d78f5a9b24710
First-principles calculations of the mixed Berry curvature distribution for magnetization at 70°.
Fixed Field Text Data - 9.5 MB - SHA-256: fd5899d9c7b8f094a044b8a0d262d1ae38877f29e79dd5111e1fc816e0114090
First-principles calculations of the mixed Berry curvature distribution for magnetization at 90°.
Aug 29, 2022
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...
Plain Text - 911.4 MB - SHA-256: be54c07a24b0d83a6e670cd4e5b9fe33b207cbd92517c989b8b96a2487d11d77
Plain Text - 911.4 MB - SHA-256: 86ed33ca80461d85f0a63300368a30f9deaf361023adb59046a787c2f7309946
Plain Text - 911.4 MB - SHA-256: 0d04aceb38809acb51fc81a51c4890352b443c99c993cd3fe71d9a842650d75d
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