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Publication Year: 2020

1 to 10 of 14 Results

Data used in: Tracing orbital images on ultrafast time scales Feb 19, 2021 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3) Wallauer, R.; Raths, M.; Stallberg, K.; Münster, L.; Brandstetter, D.; Yang, X.; Güdde, J.; Puschnig, P.; Soubatch, S.; Kumpf, C.; Bocquet, F. C.; Tautz, F. S.; Höfer, U., 2020, "Data used in: Tracing orbital images on ultrafast time scales", https://doi.org/10.26165/JUELICH-DATA/9U1IPE, Jülich DATA, V2 We present here the raw data used to produce the figures in the publication Wallauer et al. Science 371, 1056 (2021) (DOI: 10.1126/science.abf3286). Unless explicitly stated, all metadata necessary to analyze the data is included in the files (or filenames) themselves and are sel...
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Dec 18, 2020 - Metabolic Networks Johann F. Jadebeck; Axel Theorell; Samuel Leweke; Katharina Nöh, 2020, "Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models", https://doi.org/10.26165/JUELICH-DATA/YXLFKJ, Jülich DATA, V1 This collection contains showcased models and pre-processing results (determining an independent flux space and rounding) that are used as basis for benchmarking the uniform sampling performance of the CHHR implementations of the HOPS library [10.1093/bioinformatics/btaa872] (htt...
Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices Dec 16, 2020 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9) Zhang, Jinzhong; Tse, Pok-Lam; Jalil, Abdur-Rehman; Kölzer, Jonas; Rosenbach, Daniel; Luysberg, Martina; Panaitov, Gergory; Lüth, Hans; Hu, Zhigao; Grützmacher, Detlev; Lüth, Hans; Lu, Jia Grace; Schäpers, Thomas, 2020, "Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices", https://doi.org/10.26165/JUELICH-DATA/M1IQVG, Jülich DATA, V1 Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.
Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Dec 9, 2020 - Computational Neurology Dataverse Rosjat, Nils; Wang, Bin A.; Liu, Liqing; Fink, Gereon R.; Daun, Silvia, 2020, "Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich DATA, V1 Data description This dataset includes EEG recordings of 18 younger healthy subjects (18-35yrs) and 24 older healthy subjects (60+yrs) while they performed a visually cued finger tapping task. The task includes a visually-cued index finger tapping task and a vision-only control c...
Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection Nov 20, 2020 - CLaMS Dataverse Grooß, Jens-Uwe, 2020, "Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection", https://doi.org/10.26165/JUELICH-DATA/ATC1MZ, Jülich DATA, V1 These are trajectory data calculated for the study by Hooghiem et al. (Atmos Chem. Phys. , 2020). In this study, wildfire-influenced airmasses were observed and the trajectories were used to trace back the origin.
Polar Stratospheric Cloud Simulations for CRISTA-NF Nov 19, 2020 - Earth System Science Kalicinsky, Christoph; Grießbach, Sabine; Spang, Reinhold, 2020, "Polar Stratospheric Cloud Simulations for CRISTA-NF", https://doi.org/10.26165/JUELICH-DATA/GGXJ5D, Jülich DATA, V1 This data set contains simulated infrared limb emission spectra in the presence of polar stratospheric clouds (PSCs) for the air-borne CRyogenic Infrared Spectrometers and Telescopes for the Atmosphere - New Frontiers (CRISTA-NF). The atmospheric background conditions for the sim...
Data used in: Kekulene: On-Surface Synthesis, Orbital Structure, and Aromatic Stabilization Nov 17, 2020 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3) Haags, Anja; Reichmann, Alexander; Fan, Qitang; Egger, Larissa; Kirschner, Hans; Naumann, Tim; Werner, Simon; Vollgraff, Tobias; Sundermeyer, Jörg; Eschmann, Lukas; Yang, Xiaosheng; Brandstetter, Dominik; Bocquet, Francois C.; Koller, Georg; Gottwald, Alexander; Richter, Mathias; Ramsey, Michael G.; Rohlfing, Michael; Puschnig, Peter; Gottfried, J. Michael; Soubatch, Serguei; Tautz, F. Stefan, 2020, "Data used in: Kekulene: On-Surface Synthesis, Orbital Structure, and Aromatic Stabilization", https://doi.org/10.26165/JUELICH-DATA/UVHBRU, Jülich DATA, V1 We provide here the raw data used to produce the figures in the publication Haags et al. ACS Nano, 2020, 14, 11, 15766–15775, DOI: 10.1021/acsnano.0c06798. All metadata necessary to analyze the data are contained in the files. Figure 2a.stp, Figure 2b.stp, Figure S1a_inset.stp, F...
Replication Data for: "Tuning electrochemically-driven surface transformation in atomically-flat LaNiO3 thin films for enhanced water electrolysis" Nov 11, 2020 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7) Bäumer, Christoph, 2020, "Replication Data for: "Tuning electrochemically-driven surface transformation in atomically-flat LaNiO3 thin films for enhanced water electrolysis"", https://doi.org/10.26165/JUELICH-DATA/BMNAGT, 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 DFT data is available at Catalysis-hub...
2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) Nov 3, 2020 - Institute of Climate and Energy Systems – Troposphere (ICE-3) Gkatzelis, Georgios; Dimitrios K. Papanastasiou; Vlassis A. Karydis; Thorsten Hohaus; Ying Liu; Sebastian H. Schmitt; Patrick Schlag; Hendrik Fuchs; Anna Novelli; Qi Chen; Xi Cheng; Sebastian Broch; Huabin Dong; Frank Holland; Xin Li; Yuhan Liu; Xuefei Ma; David Reimer; Franz Rohrer; Min Shao; Zhaofeng Tan; Domenico Taraborrelli; Ralf Tillmann; Haichao Wang; Yu Wang; Yusheng Wu; Zhijun Wu; Limin Zheng; Jun Zheng; Min Hu; Keding Lu; Andreas Hofzumahaus; Yuanhang Zhang; Andreas Wahner; Astrid Kiendler-Scharr, 2020, "2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)", https://doi.org/10.26165/JUELICH-DATA/BQOLQF, Jülich DATA, V1 This dataset is based on the 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) and is a product of the International Joint Laboratory for Regional Pollution Control, Jülich, Germany, and Beijing, China. More specif...
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: Tracing orbital images on ultrafast time scales

Feb 19, 2021 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)

Wallauer, R.; Raths, M.; Stallberg, K.; Münster, L.; Brandstetter, D.; Yang, X.; Güdde, J.; Puschnig, P.; Soubatch, S.; Kumpf, C.; Bocquet, F. C.; Tautz, F. S.; Höfer, U., 2020, "Data used in: Tracing orbital images on ultrafast time scales", https://doi.org/10.26165/JUELICH-DATA/9U1IPE, Jülich DATA, V2

We present here the raw data used to produce the figures in the publication Wallauer et al. Science 371, 1056 (2021) (DOI: 10.1126/science.abf3286). Unless explicitly stated, all metadata necessary to analyze the data is included in the files (or filenames) themselves and are sel...

Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Dec 18, 2020 - Metabolic Networks

Johann F. Jadebeck; Axel Theorell; Samuel Leweke; Katharina Nöh, 2020, "Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models", https://doi.org/10.26165/JUELICH-DATA/YXLFKJ, Jülich DATA, V1

This collection contains showcased models and pre-processing results (determining an independent flux space and rounding) that are used as basis for benchmarking the uniform sampling performance of the CHHR implementations of the HOPS library [10.1093/bioinformatics/btaa872] (htt...

Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices

Dec 16, 2020 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)

Zhang, Jinzhong; Tse, Pok-Lam; Jalil, Abdur-Rehman; Kölzer, Jonas; Rosenbach, Daniel; Luysberg, Martina; Panaitov, Gergory; Lüth, Hans; Hu, Zhigao; Grützmacher, Detlev; Lüth, Hans; Lu, Jia Grace; Schäpers, Thomas, 2020, "Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices", https://doi.org/10.26165/JUELICH-DATA/M1IQVG, Jülich DATA, V1

Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.

Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Dec 9, 2020 - Computational Neurology Dataverse

Rosjat, Nils; Wang, Bin A.; Liu, Liqing; Fink, Gereon R.; Daun, Silvia, 2020, "Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich DATA, V1

Data description This dataset includes EEG recordings of 18 younger healthy subjects (18-35yrs) and 24 older healthy subjects (60+yrs) while they performed a visually cued finger tapping task. The task includes a visually-cued index finger tapping task and a vision-only control c...

Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection

Nov 20, 2020 - CLaMS Dataverse

Grooß, Jens-Uwe, 2020, "Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection", https://doi.org/10.26165/JUELICH-DATA/ATC1MZ, Jülich DATA, V1

These are trajectory data calculated for the study by Hooghiem et al. (Atmos Chem. Phys. , 2020). In this study, wildfire-influenced airmasses were observed and the trajectories were used to trace back the origin.

Polar Stratospheric Cloud Simulations for CRISTA-NF

Nov 19, 2020 - Earth System Science

Kalicinsky, Christoph; Grießbach, Sabine; Spang, Reinhold, 2020, "Polar Stratospheric Cloud Simulations for CRISTA-NF", https://doi.org/10.26165/JUELICH-DATA/GGXJ5D, Jülich DATA, V1

This data set contains simulated infrared limb emission spectra in the presence of polar stratospheric clouds (PSCs) for the air-borne CRyogenic Infrared Spectrometers and Telescopes for the Atmosphere - New Frontiers (CRISTA-NF). The atmospheric background conditions for the sim...

Data used in: Kekulene: On-Surface Synthesis, Orbital Structure, and Aromatic Stabilization

Nov 17, 2020 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)

Haags, Anja; Reichmann, Alexander; Fan, Qitang; Egger, Larissa; Kirschner, Hans; Naumann, Tim; Werner, Simon; Vollgraff, Tobias; Sundermeyer, Jörg; Eschmann, Lukas; Yang, Xiaosheng; Brandstetter, Dominik; Bocquet, Francois C.; Koller, Georg; Gottwald, Alexander; Richter, Mathias; Ramsey, Michael G.; Rohlfing, Michael; Puschnig, Peter; Gottfried, J. Michael; Soubatch, Serguei; Tautz, F. Stefan, 2020, "Data used in: Kekulene: On-Surface Synthesis, Orbital Structure, and Aromatic Stabilization", https://doi.org/10.26165/JUELICH-DATA/UVHBRU, Jülich DATA, V1

We provide here the raw data used to produce the figures in the publication Haags et al. ACS Nano, 2020, 14, 11, 15766–15775, DOI: 10.1021/acsnano.0c06798. All metadata necessary to analyze the data are contained in the files. Figure 2a.stp, Figure 2b.stp, Figure S1a_inset.stp, F...

Replication Data for: "Tuning electrochemically-driven surface transformation in atomically-flat LaNiO3 thin films for enhanced water electrolysis"

Nov 11, 2020 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7)

Bäumer, Christoph, 2020, "Replication Data for: "Tuning electrochemically-driven surface transformation in atomically-flat LaNiO3 thin films for enhanced water electrolysis"", https://doi.org/10.26165/JUELICH-DATA/BMNAGT, 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 DFT data is available at Catalysis-hub...

2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)

Nov 3, 2020 - Institute of Climate and Energy Systems – Troposphere (ICE-3)

Gkatzelis, Georgios; Dimitrios K. Papanastasiou; Vlassis A. Karydis; Thorsten Hohaus; Ying Liu; Sebastian H. Schmitt; Patrick Schlag; Hendrik Fuchs; Anna Novelli; Qi Chen; Xi Cheng; Sebastian Broch; Huabin Dong; Frank Holland; Xin Li; Yuhan Liu; Xuefei Ma; David Reimer; Franz Rohrer; Min Shao; Zhaofeng Tan; Domenico Taraborrelli; Ralf Tillmann; Haichao Wang; Yu Wang; Yusheng Wu; Zhijun Wu; Limin Zheng; Jun Zheng; Min Hu; Keding Lu; Andreas Hofzumahaus; Yuanhang Zhang; Andreas Wahner; Astrid Kiendler-Scharr, 2020, "2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions)", https://doi.org/10.26165/JUELICH-DATA/BQOLQF, Jülich DATA, V1

This dataset is based on the 2016 field campaign BEST-ONE (Beijing winter fine particulate Study - Oxidation, Nucleation, and light Extinctions) and is a product of the International Joint Laboratory for Regional Pollution Control, Jülich, Germany, and Beijing, China. More specif...

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...

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