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Jülich DATA (Forschungszentrum Jülich GmbH)
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Plain Text - 12.3 KB - SHA-256: f7797524111a578446923f8b0463844b55d18998554bcc7bfeaaaf210617703f
Plain Text - 12.3 KB - SHA-256: 7209bc31be482790a8c20b373d99bbb3b13243678db52b4d14ed45d9661794c5
Plain Text - 12.3 KB - SHA-256: 4caf35415309e4313a90cd1ca7f60a3f179530e866490b1cfae9f387e7564dcb
Adobe PDF - 625.5 KB - SHA-256: adea7cf0bca2b253e63eeeb26f16215c17de1dfb8aee8116f169eb58cad4e7b3
Mar 20, 2024 - Campus Collection
Chen, Shuying; Poll, Stefan; Hendricks Franssen, Harrie-Jan; Heinrichs, Heidi; Vereecken, Harry; Goergen, Klaus, 2024, "Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa", https://doi.org/10.26165/JUELICH-DATA/JYGQ65, Jülich DATA, V1
This regional atmospheric modelling dataset was produced by a dynamical downscaling setup, the ICOsahedral Nonhydrostatic (ICON) Numerical Weather Prediction (ICON-NWP) model v2.6.4 was run in limited area mode (ICON-LAM) with a weather forecast configuration (ICON-D2) from the G...
Mar 19, 2024 - Spectroscopy
Jovanovic, Sven; Jakes, Peter; Merz, Steffen; Daniel, Davis Thomas; Eichel, Rüdiger-A.; Granwehr, Josef, 2024, "Replication NMR Data for: In operando NMR investigations of the aqueous electrolyte chemistry during electrolytic CO2 reduction", https://doi.org/10.26165/JUELICH-DATA/0GQJFC, Jülich DATA, V1
NMR raw data of 13C and 23Na experiments for the in operando CO2 electrolysis experiments in aqueous HCO3- electrolyte, as described in the publication. The in operando electrolysis experiments were divided into 3 stages: open circuit voltage (OCV), chronoamperometry (CA) at a co...
ZIP Archive - 411.4 MB - SHA-256: 787215c5a3d0fddf95452a104b2d86fcb04dcb25f75fbd1909b8d401bf8a6486
Mar 14, 2024 - Central Library
Bronger, Torsten, 2024, "GEPRIS crawler", https://doi.org/10.26165/JUELICH-DATA/F7TY60, Jülich DATA, V1
Unfortunately, the project database of the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) is only available as a browser interface. Moreover, the DFG does not plan to offer it in reusable form. Still, librarians and others need to add metadata for German resear...
Mar 11, 2024 - Spectroscopy
Daniel, Davis Thomas; Mitra, Souvik; Eichel, Rüdiger-A; Diddens, Diddo; Granwehr, Josef, 2024, "Replication Data and Code for: 'Machine learning isotropic g values of radical polymers'", https://doi.org/10.26165/JUELICH-DATA/TOBXWP, Jülich DATA, V1
This data repository contains the data sets and python scripts associated with the manuscript 'Machine learning isotropic g values of radical polymers '. Electron paramagnetic resonance measurements allow for obtaining experimental g values of radical polymers. Analogous to chemi...
chemical/x-xyz - 7.3 KB - SHA-256: 69aeb6abc0efe7009568d941fbc1056943ea18f2b7aec68e8e2bc78a7f5c9222
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