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Jülich DATA (Forschungszentrum Jülich GmbH)
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Jupyter Notebook - 6.6 MB - SHA-256: 7bb3eea32dda2a2b0028a68733d8bce77d973ae9f6dbcf654399de573dbe9615
Jupyter Notebook - 5.7 KB - SHA-256: 0abca0bb68704653aa0e09a44fa0717b68217cdcb7880c6610ca1a4842951dbd
Jupyter Notebook - 3.7 KB - SHA-256: e08454f297458fc91bf60fb7524890283b8d35e6913917c37328c489d2948842
Python Source Code - 15.9 KB - SHA-256: b69c69f42d8a5b61cfe99769c2aa854c31b033c3351415648eecc0966c66cb35
Jupyter Notebook - 5.2 KB - SHA-256: dae762bbb41c697ca50f9be72c9c6bb8a4808f48aec652ef69f0ee60e1432e93
Python Source Code - 1.2 KB - SHA-256: c3ac5ad0cea78d62669d040cd05788dc502037b9a110edb578ebe4cb738a6741
Unknown - 1.1 KB - SHA-256: 1643844b816d71f08c7db886517a6ba78b0e9f360e8974de099a8cf94e9b40af
Python Source Code - 2.4 KB - SHA-256: 8e06360fa43db8f48d385bb2d8fe33b6ef86e0df43093c7b64d117b10522b8a4
Jupyter Notebook - 5.3 KB - SHA-256: 8e0244921b03599b9bfb24bf3a35981c3aaec2d3fde70f3cdb1d8b623308b1bb
Python Source Code - 15.0 KB - SHA-256: bb92dd64be821188f13eaa12bbe99698747a81b82c9dee075c948d1596f69143
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