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1 to 10 of 24 Results
Replication Data for: https://doi.org/10.1021/acs.jpclett.3c03295
Aug 29, 2025
Bruch, Nils, 2025, "Replication Data for: https://doi.org/10.1021/acs.jpclett.3c03295", https://doi.org/10.26165/JUELICH-DATA/3GNMUU, Jülich DATA, V1
Data has been generated using COMSOL Multiphysics. Upon reasonable request to the contact person, raw data can be shared to reproduce the plots from the publication.
Replication Data for: https://doi.org/10.1063/5.0250135
Aug 29, 2025
Bruch, Nils, 2025, "Replication Data for: https://doi.org/10.1063/5.0250135", https://doi.org/10.26165/JUELICH-DATA/XHVT5W, Jülich DATA, V1
Data has been generated using COMSOL Multiphysics. Upon reasonable request to the contact person, raw data can be shared to reproduce the plots from the publication.
Replication Data for: https://doi.org/10.48550/arXiv.2507.14751
Aug 29, 2025
Bruch, Nils, 2025, "Replication Data for: https://doi.org/10.48550/arXiv.2507.14751", https://doi.org/10.26165/JUELICH-DATA/JS6SHP, Jülich DATA, V1
Data has been generated using Mathematica and analyzed within the same notebook. Upon reasonable request to the contact person, raw data can be shared to reproduce the plots from the publication.
Replication Data for: https://doi.org/10.48550/arXiv.2503.06768
Jun 17, 2025
Juhi Singh, 2025, "Replication Data for: https://doi.org/10.48550/arXiv.2503.06768", https://doi.org/10.26165/JUELICH-DATA/GG80VM, Jülich DATA, V1
The files contains all the data used for generating all figures in the manuscript. All the folders the named according to the figure numbers.
Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python
May 21, 2025
Zerressen, Sarah, 2025, "Data from dynamic wind profile long-term operation of alkaline and PEM water electrolysis with extraction of performance data in Python", https://doi.org/10.26165/JUELICH-DATA/PYGQTO, Jülich DATA, V2
We created a semi-synthetic wind profile from wind turbine data and converted it to current and potential profiles for PEM and alkaline water electrolysis cells with a maximum power output of 40 and 4 W respectively. Then we conducted dynamic electrolysis with these profiles for...
Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method
Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method
Feb 5, 2025
Kelsch, Alexander, 2024, "Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method", https://doi.org/10.26165/JUELICH-DATA/0LAIFH, Jülich DATA, V2
Dataset used for the work titled "Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method" and R scripts for the data cleaning, analysis and figure creation.
Stochastic representations of fiber-based gas diffusion layers
Dec 13, 2024
Froning, Dieter, 2024, "Stochastic representations of fiber-based gas diffusion layers", https://doi.org/10.26165/JUELICH-DATA/RCL4O0, Jülich DATA, V1
Gas diffusion layers (GDLs) are relevant for the efficient fluid transport between the channel structure and the membrane electrode assembly (MEA) of fuel cells [1]. Black/white (BW) images of 25 realizations of a stochastic model represent the micro-structure of paper-type GDLs...
Erzeugen von Kugelpackungen mit vorgegebener Größenverteilung zur Darstellung von porösen Sinterkörpern in der Simulation von Elektrolyseuren
Jun 10, 2024
Havemann, Karin; Froning, Dieter, 2024, "Erzeugen von Kugelpackungen mit vorgegebener Größenverteilung zur Darstellung von porösen Sinterkörpern in der Simulation von Elektrolyseuren", https://doi.org/10.26165/JUELICH-DATA/ZTVRNO, Jülich DATA, V1
Generation of overlapping sphere packings using a sedimentation algorithm
Experimental FZJ ParFlow DE06 hydrologic forecasts
May 14, 2024
Belleflamme, Alexandre; Hammoudeh, Suad; Görgen, Klaus; Kollet, Stefan, 2024, "Experimental FZJ ParFlow DE06 hydrologic forecasts", https://doi.org/10.26165/JUELICH-DATA/GROHKP, Jülich DATA, V1
The dataset entails experimental ParFlow hydrologic model forecast simulations by BELLEFLAMME, HAMMOUDEH, GOERGEN, and KOLLET. The basic setup and configuration is described in "Belleflamme et al. (2023): Hydrological forecasting at impact scale: the integrated ParFlow hydrologic...
Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa
Mar 20, 2024
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...
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