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171 to 179 of 179 Results
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Gutzen, Robin; Grün, Sonja; Denker, Michael, 2024, "Replication Data for: Gutzen, R., Grün, S., Denker, M., 2023. Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.", https://doi.org/10.26165/JUELICH-DATA/ABIVIP, Jülich DATA, V1
Code and data repository accompanying: Gutzen, R., Grün, S., Denker, M., 2023. Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles. Biosystems 223, 104813. https://doi.org/10.1016/j.biosystems.2022.104813
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Köhler, Cristiano André; Ulianych, Danylo; Grün, Sonja; Denker, Michael, 2024, "Replication Data for: Köhler, C.A., Ulianych, D., Grün, S., Decker, S., Denker, M., 2023. Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture.", https://doi.org/10.26165/JUELICH-DATA/8VY6G0, Jülich DATA, V1
Replication data for: Köhler, C.A., Ulianych, D., Grün, S., Decker, S., Denker, M., 2023. Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture.
Feb 15, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Gutzen, Robin; Grün, Sonja; Denker, Michael, 2024, "Replication Data for: A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets", https://doi.org/10.26165/JUELICH-DATA/VUEROX, Jülich DATA, V1
Replication Data for: Gutzen, R., Bonis, G.D., Luca, C.D., Pastorelli, E., Capone, C., Mascaro, A.L.A., Resta, F., Manasanch, A., Pavone, F.S., Sanchez-Vives, M.V., Mattia, M., Grün, S., Paolucci, P.S., Denker, M., 2024. A modular and adaptable analysis pipeline to compare slow c...
Feb 15, 2024
The dataverse of the Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Feb 8, 2024 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Bolat, Rustem; Guevara, Jose M.; Leinen, Philipp; Knol, Marvin; Arefi, Hadi H.; Maiworm, Michael; Findeisen, Rolf; Temirov, Ruslan; Hofmann, Oliver T.; Maurer, Reinhard J.; Tautz, F. Stefan; Wagner, Christian, 2024, "Data used in: Electrostatic potentials of atomic nanostructures at metal surfaces quantified by scanning quantum dot microscopy", https://doi.org/10.26165/JUELICH-DATA/QYREOM, Jülich DATA, V1
Data used in: Electrostatic potentials of atomic nanostructures at metal surfaces quantified by scanning quantum dot microscopy, Nature Communications 15, 2259 (2024), DOI: 10.1038/s41467-024-46423-4
Jan 29, 2024 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7)
Knabe, Judith; Berg, Fenja; Goß, Kalle Thorben; Böttger, Ulrich; Dittmann, Regina, 2024, "Replication Data for: Dual-Mode Operation of Epitaxial Hf0.5Zr0.5O2: Ferroelectric and Filamentary-Type Resistive Switching", https://doi.org/10.26165/JUELICH-DATA/WQKJ9J, Jülich DATA, V1
Measurements are provided in the folder either as Image files, raw data, or tabulated data. The original data and corresponding images for scanning measurements like AFM are deposited in folders named after the figure in the publication. The plots were produced using Python. The...
Jan 23, 2024 - Campus Collection
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 - Campus Collection
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...
Jan 11, 2024 - Institute of Climate and Energy Systems – Troposphere (ICE-3)
Färber, Michelle; Fuchs, Hendrik; Gkatzelis, Georgios; Rohrer, Franz; Wedel, Sergej; Novelli, Anna, 2024, "Atmospheric simulation chamber study: trans-2-hexene + O3 - Gas-phase oxidation - kinetic study - 2021-12-08", https://doi.org/10.26165/JUELICH-DATA/HUUKLZ, Jülich DATA, V1
Eurochamp data: Atmospheric simulation chamber study: trans-2-hexene + O3 - Gas-phase oxidation - kinetic study - 2021-12-08
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