1 to 10 of 18 Results
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, V1
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. |
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 |
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... |
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... |
Feb 27, 2024
Hader, Fabian; Fleitmann, Sarah; Fuchs, Fabian, 2024, "Simulation of CSDs for Automated Tuning Solutions (SimCATS)", https://doi.org/10.26165/JUELICH-DATA/QIUWRZ, Jülich DATA, V1
Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a Python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits. Source code: https://github.com/f-hader/SimCATS Documentation: https://simcats.readthedocs.io/... |
Froning, Dieter; Shi, Yan; Janßen, Holger; Lehnert, Werner, 2024, "Load changes of a polymer electrolyte fuel cell under different operating conditions", https://doi.org/10.26165/JUELICH-DATA/MLN4JX, Jülich DATA, V1
A lab scale polymer electrolyte fuel cell (PEFC) with a power of 9 W and an active area of 17.64 cm² was operated with 90% humidity and a stoichiometry factor of two in galvanostatic mode. Load cycles were applied to the PEFC, and the dynamic voltages were monitored. During the e... |
Feb 21, 2024
Froning, Dieter; Zou, Wei; Janßen, Holger; Lehnert, Werner, 2024, "Transient behavior of a polymer electrolyte fuel cell operated with humidified gases", https://doi.org/10.26165/JUELICH-DATA/CBVOJL, Jülich DATA, V1
A lab scale polymer electrolyte fuel cell (PEFC) with a power of 9 W and an active area of 17.64 cm² was operated with 90% humidity and a stoichiometry factor of two in galvanostatic mode. Load cycles with different parameters of the load ramps were applied to the PEFC, and the d... |
Jan 23, 2024
Froning, Dieter; Müller, Martin, 2024, "Micro-structure of porous transport layers of polymer electrolyte membrane electrolysers", https://doi.org/10.26165/JUELICH-DATA/PPAL4B, Jülich DATA, V1
Porous transport layers for electrolysers, manufactured at the Forschungszentrum Jülich, were visualized by means of Zeiss Xradia Versa CT scans. The grayscale images were segmented into black/white, resolution: 1 µm/px. The samples were either sintered from spherical or formless... |
Jan 22, 2024
Loup, Ulrich; Sorg, Jürgen; Kunkel, Ralf, 2024, "A tool to migrate sensor metadata from ODM1 to an API-driven sensor-management system", https://doi.org/10.26165/JUELICH-DATA/BJPRZK, Jülich DATA, V1
The observation-data model (ODM) is a relational data model combining observation data and the corresponding metadata. The migration tool extracts the metadata and inserts it into a management tool for sensor and device data using API calls. The tool is implemented in Python and... |
Dec 15, 2023
Poshyvailo-Strube, Liubov; Wagner, Niklas; Goergen, Klaus; Furusho-Percot, Carina; Hartick, Carl; Kollet, Stefan, 2023, "Regional climate scenarios with the coupled TSMP in the context of HI-CAM and the WCRP EURO-CORDEX initiative", https://doi.org/10.26165/JUELICH-DATA/9S3V5K, Jülich DATA, V1
This regional climate scenario dataset was produced with the Terrestrial Systems Modelling Platform (TSMP, https://github.com/HPSCTerrSys/TSMP). TSMP features a closed terrestrial water cycle from groundwater across the land surface into the atmosphere with a sophisticated treatm... |
