1 to 10 of 86 Results
Nov 10, 2024 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7)
Weber, Moritz L.; Jennings, Dylan; Fearn, Sarah; Cavallaro, Andrea; Prochazka, Michal; Gutsche, Alexander; Heymann, Lisa; Guo, Jia; Yasin, Liam; Cooper, Samuel J.; Mayer, Joachim; Rheinheimer, Wolfgang; Dittmann, Regina; Waser, Rainer; Guillon, Olivier; Lenser, Christian; Skinner, Stephen J.; Aguadero, Ainara; Nemšák, Slavomir; Gunkel, Felix, 2024, "Replication Data for: Thermal stability and coalescence dynamics of exsolved metal nanoparticles at charged perovskite surfaces", https://doi.org/10.26165/JUELICH-DATA/QZ8NOS, Jülich DATA, V1
The present data repository contains a record of experimental data that provides the basis for the main figures and supplementary figures of the manuscript. Typically, unprocessed data is provided for each relevant figure; processed data has been added where appropriate. Each fil... |
Oct 28, 2024 - Peter Grünberg Institute – Quantum Theory of Materials (PGI-1 / IAS-1)
Jalil, Abdur Rehman; Schmitt, Tobias, W.; Rüßmann, Philipp; Wei, Xian-Kui; Frohn, Benedikt; Schleenvoigt, Michael; Wittl, Wilhelm; Hou, Xiao; Schmidt, Anne; Underwood, Kaycee; Bihlmayer, Gustav; Luysberg, Martina; Mayer, Joachim; Blügel, Stefan; Grützmacher, Detlev; Schüffelgen, Peter, 2024, "Replication Data for: Engineering epitaxial interfaces for topological insulator – superconductor hybrid devices with Al electrodes", https://doi.org/10.26165/JUELICH-DATA/XJICAR, Jülich DATA, V1
Proximity-induced superconductivity in hybrid devices of topological insulators and superconductors offers a promising platform for the pursuit of elusive topological superconductivity and its anticipated applications, such as fault-tolerant quantum computing. To study and harnes... |
Santoso, Ryan; Guignon, Lisa; Deissmann, Guido; Poonoosamy, Jenna, 2024, "Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate", https://doi.org/10.26165/JUELICH-DATA/RZ8RZ3, Jülich DATA, V1
This dataset contains experimental data used to train the cascading U-Net models and the DeepLabV3+ model for identifying ACC phase, vaterite crystals, and calcite crystals in droplet microfluidics. It also includes code for reproducing all data-driven machine learning results, w... |
Oct 9, 2024 - Central Institute of Engineering, Electronics and Analytics – Electronic Systems (ZEA-2)
Hader, Fabian; Fuchs, Fabian; Fleitmann, Sarah, 2024, "SimCATS_GaAs_v1_random_variations_v2", https://doi.org/10.26165/JUELICH-DATA/5PB3GT, Jülich DATA, V1
Dataset: SimCATS_GaAs_v1_random_variations_v2 Simulated data from the geometric SimCATS model (GitHub Repository, Paper) for benchmarking of semiconductor quantum dot tuning algorithms. Generated using this Jupyter Notebook and used for the final evaluation in Automated Charge Tr... |
Lange, Steve; Isaacs, Matthew; Klinkenberg, Martina; Read, David; Bosbach, Dirk; Deissmann, Guido, 2024, "Experimental data for: Uptake of iodine by cement hydration phases: Implications for radioactive waste disposal", https://doi.org/10.26165/JUELICH-DATA/FXSAYY, Jülich DATA, V1
This data set contains the following experimental data: specific surface area (SSA) of cement hydration phases and HCP used in the sorption experiments, pH of aqueous solutions equilibrated with various cement hydration phases and crushed HCP prepared from CEM I used in sorption... |
Oct 7, 2024 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Schultes, Sina; Metzner, Ralf; Pflugfelder, Daniel; Chlubek, Antonia; Koller, Robert, 2024, "MRI PET rhizosphere microbiota of the maize root system", https://doi.org/10.26165/JUELICH-DATA/Q4NWVE, Jülich DATA, V1
Replication data for "Photosynthate distribution determines spatial patterns in the rhizosphere microbiota of the maize root system" submitted to Nature Communications |
Oct 2, 2024 - Central Institute of Engineering, Electronics and Analytics – Electronic Systems (ZEA-2)
Robens, Markus, 2024, "Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"", https://doi.org/10.26165/JUELICH-DATA/JJ31IX, Jülich DATA, V1
This is a wrapper for »Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"« submitted to Zenodo (Robens, 2024) due to its file size. This dataset contains data underlying the results presented in the article Robens M, Kleijnen R, Schiek M, and... |
Oct 2, 2024 - Central Institute of Engineering, Electronics and Analytics – Electronic Systems (ZEA-2)
Hader, Fabian; Fuchs, Fabian; Havemann, Karin; Fleitmann, Sarah; Vogelbruch, Jan, 2024, "SimCATS-Datasets", https://doi.org/10.26165/JUELICH-DATA/SB7L3L, Jülich DATA, V1
SimCATS-Datasets is a Python package that simplifies the creation and loading of SimCATS datasets. For License, CLA, and Copyright have a look at GitHub. GitHub (source code): https://github.com/f-hader/SimCATS-Datasets PyPi (package): https://pypi.org/project/simcats-datasets Re... |
Oct 1, 2024 - Institute of Climate and Energy Systems – Troposphere (ICE-3)
Liu, Lu; Hohaus, Thorsten; Franke, Philipp; Lange, Anne Caroline; Tillmann, Ralf; Fuchs, Hendrik; Tan, Zhaofeng; Rohrer, Franz; Karydis, Vlassis; He, Quanfu; Vardhan, Vaishali; Andres, Stefanie; Bohn, Birger; Holland, Frank; Winter, Benjamin; Wedel, Sergej; Novelli, Anna; Hofzumahaus, Andreas; Wahner, Andreas; Kiendler-Scharr, Astrid, 2024, "Replication data for Aerosol chemical composition and aerosol source apportionment (PMF) for the JULIAC 2019 campaign", https://doi.org/10.26165/JUELICH-DATA/TPPXNL, Jülich DATA, V1
The data is from experiments in the atmospheric simulation chamber SAPHIR. During the JULIAC 2019 campaign, ambient air was continuoulsy sampled from a 50 m high inlet above ground and passed through the SAPHIR chamber with a high flow (residence time of ambient air about 1 hour)... |
Brandt, Felix; Caes, Sébastien; Klinkenberg, Martina; Barthel, Juri; Liu, Sanheng; Lemmens, Karel; Bosbach, Dirk; Ferrand, Karine, 2024, "Experimental data for: Dissolution of simulated nuclear waste glass at high surface area to solution volume, high pH and 70 °C: comparison of International Simple Glass and SON68 glass", https://doi.org/10.26165/JUELICH-DATA/HC3IOI, Jülich DATA, V2
Long-term static dissolution experiments, lasting up to ~1500 days, were conducted on International Simple Glass (ISG) and SON68 glass under hyperalkaline pH, at 70 °C, and at a very high glass surface area to solution volume ratio. This dataset contains the experimental data of... |
