Jülich DATA

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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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251 to 260 of 265 Results

Institute of Climate and Energy Systems – Troposphere (ICE-3)(Forschungszentrum Jülich) Oct 27, 2020 Institute of Climate and Energy Systems (ICE) - Troposphere (ICE-3)
Computational Neurology Dataverse(Forschungszentrum Jülich) Sep 10, 2020Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)
Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)(Forschungszentrum Jülich) Sep 10, 2020 The dataverse of the Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)
ELPVPower: A dataset for large scale PV power prediction using EL images of cells Aug 28, 2020 - EL images Dataverse Hoffmann, Mathis; Buerhop-Lutz, Claudia; Reeb, Luca; Pickel, Tobias; Winkler, Thilo; Doll, Bernd; Würfl, Tobias; Peters, Ian Marius; Brabec, Christoph J.; Maier, Andreas; Christlein, Vincent, 2020, "ELPVPower: A dataset for large scale PV power prediction using EL images of cells", https://doi.org/10.26165/JUELICH-DATA/TVWUUP, Jülich DATA, V1 Measurements are provided in the folder `data` as PNG-Images. The original measurements have been rescaled to the range [0, 255] globally, such that intensities between measurements are comparable. The dataset comes with a file `data.csv` that provides additional meta data associ...
Data used in: Surfactant-Mediated Epitaxial Growth of Single-Layer Graphene in an Unconventional Orientation on SiC Aug 25, 2020 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3) Bocquet, F. C.; Lin, Y.-R; Franke, M.; Samiseresht, N.; Parhizkar, S.; Soubatch, S.; Lee, T.-L.; Kumpf, C.; Tautz, F. S., 2020, "Data used in: Surfactant-Mediated Epitaxial Growth of Single-Layer Graphene in an Unconventional Orientation on SiC", https://doi.org/10.26165/JUELICH-DATA/VGEHRD, Jülich DATA, V1 We present here the raw data used to produce the figures in the publication Bocquet et al. Phys. Rev. Lett. 125 106102 (2020). Unless explicitly stated, all metadata necessary to analyze the data is included in the files (or filenames) themselves. The raw data are placed in a sep...
Peter Grünberg Institut – Quantum Nanoscience (PGI-3)(Forschungszentrum Jülich) Aug 25, 2020 The dataverse of the Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Replication Data for: Measurement of deuteron carbon vector analyzing powers in the kinetic energy range 170–380 MeV Aug 19, 2020 - Jülich Electric Dipole moment Investigations (JEDI) Müller, Fabian, 2020, "Replication Data for: Measurement of deuteron carbon vector analyzing powers in the kinetic energy range 170–380 MeV", https://doi.org/10.26165/JUELICH-DATA/RDWNFU, Jülich DATA, V1 This dataset contains the published vector analyzing powers as function of scattering angle and incident beam energy.
Jülich Electric Dipole moment Investigations (JEDI)(Forschungszentrum Jülich) Aug 19, 2020Nuclear Physics Institute (IKP) This dataverse of the Jülich Electric Dipole moment Investigations (JEDI) Collaboration, which is aiming to carry out a long term project for the measurement of the permanent electric dipole moments of charged particles in a storage ring. For further details see the collaboration...
Nuclear Physics Institute (IKP)(Forschungszentrum Jülich) Aug 19, 2020 The dataverse of the Nuclear Physics Institute (IKP)
EL Dataset of PV modules Aug 6, 2020 - EL images Dataverse Buerhop-Lutz, Claudia; Deitsch, Sergiu; Maier, Andreas; Gallwitz, Florian; Berger, Stephan; Doll, Bernd; Hauch, Jens; Camus, Christian; Brabec, Christoph J., 2020, "EL Dataset of PV modules", https://doi.org/10.26165/JUELICH-DATA/GCBNMA, Jülich DATA, V1 This repository provides a dataset of solar cell images extracted from high-resolution electroluminescence images of photovoltaic modules. The dataset contains 2,624 samples of 300x300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of de...

Institute of Climate and Energy Systems – Troposphere (ICE-3)(Forschungszentrum Jülich)

Oct 27, 2020

Institute of Climate and Energy Systems (ICE) - Troposphere (ICE-3)

Computational Neurology Dataverse(Forschungszentrum Jülich)

Sep 10, 2020Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)

Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)(Forschungszentrum Jülich)

Sep 10, 2020

The dataverse of the Institute of Neuroscience and Medicine – Cognitive Neuroscience (INM-3)

ELPVPower: A dataset for large scale PV power prediction using EL images of cells

Aug 28, 2020 - EL images Dataverse

Hoffmann, Mathis; Buerhop-Lutz, Claudia; Reeb, Luca; Pickel, Tobias; Winkler, Thilo; Doll, Bernd; Würfl, Tobias; Peters, Ian Marius; Brabec, Christoph J.; Maier, Andreas; Christlein, Vincent, 2020, "ELPVPower: A dataset for large scale PV power prediction using EL images of cells", https://doi.org/10.26165/JUELICH-DATA/TVWUUP, Jülich DATA, V1

Measurements are provided in the folder `data` as PNG-Images. The original measurements have been rescaled to the range [0, 255] globally, such that intensities between measurements are comparable. The dataset comes with a file `data.csv` that provides additional meta data associ...

Data used in: Surfactant-Mediated Epitaxial Growth of Single-Layer Graphene in an Unconventional Orientation on SiC

Aug 25, 2020 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)

Bocquet, F. C.; Lin, Y.-R; Franke, M.; Samiseresht, N.; Parhizkar, S.; Soubatch, S.; Lee, T.-L.; Kumpf, C.; Tautz, F. S., 2020, "Data used in: Surfactant-Mediated Epitaxial Growth of Single-Layer Graphene in an Unconventional Orientation on SiC", https://doi.org/10.26165/JUELICH-DATA/VGEHRD, Jülich DATA, V1

We present here the raw data used to produce the figures in the publication Bocquet et al. Phys. Rev. Lett. 125 106102 (2020). Unless explicitly stated, all metadata necessary to analyze the data is included in the files (or filenames) themselves. The raw data are placed in a sep...

Peter Grünberg Institut – Quantum Nanoscience (PGI-3)(Forschungszentrum Jülich)

Aug 25, 2020

The dataverse of the Peter Grünberg Institut – Quantum Nanoscience (PGI-3)

Replication Data for: Measurement of deuteron carbon vector analyzing powers in the kinetic energy range 170–380 MeV

Aug 19, 2020 - Jülich Electric Dipole moment Investigations (JEDI)

Müller, Fabian, 2020, "Replication Data for: Measurement of deuteron carbon vector analyzing powers in the kinetic energy range 170–380 MeV", https://doi.org/10.26165/JUELICH-DATA/RDWNFU, Jülich DATA, V1

This dataset contains the published vector analyzing powers as function of scattering angle and incident beam energy.

Jülich Electric Dipole moment Investigations (JEDI)(Forschungszentrum Jülich)

Aug 19, 2020Nuclear Physics Institute (IKP)

This dataverse of the Jülich Electric Dipole moment Investigations (JEDI) Collaboration, which is aiming to carry out a long term project for the measurement of the permanent electric dipole moments of charged particles in a storage ring. For further details see the collaboration...

Nuclear Physics Institute (IKP)(Forschungszentrum Jülich)

Aug 19, 2020

The dataverse of the Nuclear Physics Institute (IKP)

EL Dataset of PV modules

Aug 6, 2020 - EL images Dataverse

Buerhop-Lutz, Claudia; Deitsch, Sergiu; Maier, Andreas; Gallwitz, Florian; Berger, Stephan; Doll, Bernd; Hauch, Jens; Camus, Christian; Brabec, Christoph J., 2020, "EL Dataset of PV modules", https://doi.org/10.26165/JUELICH-DATA/GCBNMA, Jülich DATA, V1

This repository provides a dataset of solar cell images extracted from high-resolution electroluminescence images of photovoltaic modules. The dataset contains 2,624 samples of 300x300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of de...

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