141 to 150 of 153 Results
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... |
Mar 5, 2024 - Institute of Climate and Energy Systems – Troposphere (ICE-3)
Baker, Yarê; Kang, Sungah; Wang, Hui; Wu, Rongrong; Xu, Jian; Zanders, Annika; He, Quanfu; Hohaus, Thorsten; Ziehm, Till; Geretti, Veronica; Bannan, Thomas J.; O'Meara, Simon P.; Voliotis, Aristeidis; Hallquist, Mattias; McFiggans, Gordon; Zorn, Sören R.; Wahner, Andreas; Mentel, Thomas, 2024, "Supplementary data for "Impact of HO2/RO2 ratio on highly oxygenated α-pinene photooxidation products and secondary organic aerosol formation potential "", https://doi.org/10.26165/JUELICH-DATA/R8ITFF, Jülich DATA, V1
Supplementary data for the manuscript "Impact of HO2/RO2 ratio on highly oxygenated α-pinene photooxidation products and secondary organic aerosol formation potential" The dataset includes: -Data necessary to reproduce all Figures found in the manuscript -Overview of steady state... |
Feb 27, 2024 - Campus Collection
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/... |
Feb 21, 2024 - Campus Collection
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 - Campus Collection
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... |
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 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... |