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Jülich DATA (Forschungszentrum Jülich GmbH)
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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

This service is managed by the Central Library. Please see our guide about how to use this service or feel free to reach out via email to forschungsdaten@fz-juelich.de.

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1 to 10 of 112 Results
Jan 4, 2023 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)
Kölzer, Jonas; Jalil, Abdur Rehman; Rosenbach, Daniel; Arndt, Lisa; Mussler, Gregor; Schüffelgen, Peter; Grützmacher, Detlev; Lüth, Hans; Schäpers, Thomas, 2023, "Data for: Topological Material-Based Three-Terminal Junctions", https://doi.org/10.26165/JUELICH-DATA/QLJK8D, Jülich DATA, V1
This Repository contains the code and data which is part of the publication and can be used to create the contained figures. It is structured into a notebook for the simulation part and a notebook for the experimental data analysis.
Dec 21, 2022 - Institute of Energy and Climate Research – Troposphere (IEK-8)
Bohn, Birger, 2022, "Replication data for "Optical receiver characterisations and corrections for ground-based and airborne measurements of spectral actinic flux densities"", https://doi.org/10.26165/JUELICH-DATA/8INBXK, Jülich DATA, V2
libRadtran input file examples compatible with version 2.0.4 as well as spectral radiance output and corrections for all atmospheric scenarios. Corrections are specific for the receivers and measurement configurations used in this work.
Nov 28, 2022 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Bocquet, François C.; Ibach, Harald; Sato, Haruki; Kubo, Mihiro; Tautz, F. Stefan; Yoshida, Hiroyuki, 2022, "Replication Data for: A novel high-current, high-resolution, low-kinetic-energy electron source for inverse photoemission spectroscopy", https://doi.org/10.26165/JUELICH-DATA/9TAJ4D, Jülich DATA, V1
The dataset is structured with one folder per figure. Unless otherwise specified, the data names should be self-explaining when looking at the figure in the publication. For Fig. 13, the .txt file contains information about which Potentials and which .csv file is what (see the me...
Nov 24, 2022 - Institute of Energy and Climate Research – Troposphere (IEK-8)
Vereecken, Luc, 2022, "Replication Data for: Comparison of isoprene chemical mechanisms at atmospheric night-time conditions in chamber experiments: Evidence of hydroperoxy aldehydes and epoxy products from NO3 oxidation", https://doi.org/10.26165/JUELICH-DATA/YWB5P1, Jülich DATA, V1
Quantum chemical data used for the theoretical kinetic data, including geometries and vibrational wavenumbers at the M06-D3/aug-cc-pVTZ level of theory, and energies at methodologies up to CCSD(T)/aug-cc-pVTZ
Nov 3, 2022 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)
Zimmermann, Erik; Kölzer, Jonas; Schleenvoigt, Michael; Rosenbach, Daniel; Mussler, Gregor; Schüffelgen, Peter; Heider, Tristan; Pluchinski, Lukasz; Schubert, Jürgen; Lüth, Hans; Grützmacher, Detlev; Schäpers, Thomas, 2022, "Universal conductance fluctuations in a Bi1.5Sb0.5Te1.8Se1.2 topological insulator nano-scaled Hall bar structure", https://doi.org/10.26165/JUELICH-DATA/XOCEBN, Jülich DATA, V1
This data set includes the raw data of the magnetotransport measurements, as well as the Python source codes that were used for the analysis.
Sep 21, 2022 - Institute of Energy and Climate Research – Troposphere (IEK-8)
Vereecken, Luc, 2022, "Replication Data for: Unexpected significance of a minor reaction pathway in daytime formation of biogenic highly oxygenated organic compounds", https://doi.org/10.26165/JUELICH-DATA/GLU9BW, Jülich DATA, V1
Quantum chemical data used for the theoretical kinetic data, including geometries and vibrational wavenumbers at the M06-2X-D3/aug-cc-pVTZ level of theory, and energies at methodologies up to CCSD(T)/aug-cc-pVTZ
Sep 7, 2022 - Campus Collection
Chen, Ying-Jiun; Jan-Philipp Hanke; Markus Hoffmann; Gustav Bihlmayer; Yuriy Mokrousov; Stefan Blügel; Claus M. Schneider; Christian Tusche, 2022, "Data used in: Spanning Fermi arcs in a two-dimensional magnet", https://doi.org/10.26165/JUELICH-DATA/CXWKMJ, Jülich DATA, V1
We provide here the raw data used to produce the figures in the publication Y.J. Chen et al. XXXXXXX, XX, XXXX, DOI: XXXXXXXX. All metadata necessary to analyze the data are contained in the files.
Sep 2, 2022 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Yang, Xiaosheng; Jugovac, Matteo; Zamborlini, Giovanni; Feyer, Vitaliy; Koller, Georg; Puschnig, Peter; Soubatch, Serguei; Ramsey, Michael G.; Tautz, F. Stefan, 2022, "Data used in: Momentum-selective orbital hybridisation", https://doi.org/10.26165/JUELICH-DATA/6UG0DS, Jülich DATA, V1
We present here the raw data used to produce the figures in the publication Yang et al., Nature Communications 13, 5148 (2022) (DOI: 10.1038/s41467-022-32643-z). Unless explicitly stated, all metadata necessary to analyze the data is included in the files (or filenames) themselve...
Sep 1, 2022
The dataverse of the Institute of Energy and Climate Research – Systems Analysis and Technology Evaluation (IEK-STE)
Aug 31, 2022 - Earth System Science
Gong, Bing; Langguth, Michael; Ji, Yan; Mozaffari, Amirpasha; Stadtler, Scarlet; Mache, Karim; Schultz, Martin G., 2022, "2m Temperature Forecast by Deep Learning", https://doi.org/10.26165/JUELICH-DATA/X5HPXP, Jülich DATA, V2
This repository provides the preprocessed datasets, which are used in the study Temperature forecasting by deep learning methods by Gong et al. (2022). This allows the user to reproduce the presented results without running the preprocessing chain from the raw ERA5 data. Data des...
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