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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41 to 50 of 411 Results

Estimates of irrigation requirements throughout Germany under varying climatic conditions Feb 7, 2025 - mGROWA Germany Herrmann, Frank; McNamara, Ian, 2025, "Estimates of irrigation requirements throughout Germany under varying climatic conditions", https://doi.org/10.26165/JUELICH-DATA/SJ6HJH, Jülich DATA, V1 As climate change brings about hotter and often drier summers, an improved understanding of how irrigation requirements vary according to climatic conditions is of increasing importance. Within Germany, temperate conditions have historically enabled most agriculture to be supplie...
mGROWA Germany(FZJ IBG-3) Feb 7, 2025mGROWA Water Balance Modelling This dataverse collects simulation results from the mGROWA model for the territory of the Federal Republic of Germany.
mGROWA Water Balance Modelling(FZJ IBG-3) Feb 7, 2025Modelling and Management of Catchments This dataverse provides access to simulation results obtained with the mGROWA water balance model. The model has been developed at the Institute of Bio- and Geosciences IBG-3: Agrosphere (Forschungszentrum Jülich) and implemented in numerous projects since 2010. mGROWA operates a...
Fabrication and characterization of InAs nanowire-based quantum dot structures utilizing buried bottom gates Feb 7, 2025 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9) Schäpers, Thomas, 2025, "Fabrication and characterization of InAs nanowire-based quantum dot structures utilizing buried bottom gates", https://doi.org/10.26165/JUELICH-DATA/0X7H3S, Jülich DATA, V1 Semiconductor nanowires can be utilized to create quantum dot qubits. The formation of quantum dots is typically achieved by means of bottom gates created by a lift-off process. As an alternative, we fabricated flat buried bottom gate structures by filling etched trenches in a Si...
Modelling and Management of Catchments(Forschungszentrum Jülich) Feb 6, 2025Reseach Groups
Data for: Modeling cassava root system architecture and the underlying dynamics in shoot–root carbon allocation during the early storage root bulking stage Feb 6, 2025 - Direction Project Postma, Johannes Auke, 2025, "Data for: Modeling cassava root system architecture and the underlying dynamics in shoot–root carbon allocation during the early storage root bulking stage", https://doi.org/10.26165/JUELICH-DATA/I0BKK2, Jülich DATA, V1 Background and aims Plants store carbohydrates for later use during, e.g., night, drought, and recovery after stress. Carbon allocation presents the plant with tradeoffs, notably between growth and storage. We asked how this tradeoff works for cassava (Manihot esculenta) pre- and...
Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method Feb 5, 2025 - Campus Collection Kelsch, Alexander, 2024, "Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method", https://doi.org/10.26165/JUELICH-DATA/0LAIFH, Jülich DATA, V2 Dataset used for the work titled "Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method" and R scripts for the data cleaning, analysis and figure creation.
Replication Data for: Maintaining a Resonance Condition of an RF Spin Rotator Through a Feedback Loop in a Storage Ring Feb 4, 2025 - Jülich Electric Dipole moment Investigations (JEDI) JEDI Collaboration, 2025, "Replication Data for: Maintaining a Resonance Condition of an RF Spin Rotator Through a Feedback Loop in a Storage Ring", https://doi.org/10.26165/JUELICH-DATA/Z4JIMO, Jülich DATA, V1 These files contain the published data as CSV files. The filenames correspond to the figure number and the position of the plot in the figure. Each file contains three columns (x,y,dy) with the first line as column header containing axis labels with units.
Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning Jan 31, 2025 - Institute of Fusion Energy and Nuclear Waste Management – Nuclear Waste Management (IFN-2) Santoso, Ryan; Guignon, Lisa; Deissmann, Guido; Poonoosamy, Jenna, 2024, "Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning", https://doi.org/10.26165/JUELICH-DATA/RZ8RZ3, Jülich DATA, V2 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...
Replication Data for: 3D KMC-based investigation of the influence of dopants on the reliability of VCM ReRAM Jan 30, 2025 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7) Kopperberg, Nils; Genua Noguera, Daniel; Menzel, Stephan, 2025, "Replication Data for: 3D KMC-based investigation of the influence of dopants on the reliability of VCM ReRAM", https://doi.org/10.26165/JUELICH-DATA/H155MZ, Jülich DATA, V1 The present data repository contains the matlab scripts and the simulation data obtained with our 3D KMC model to recreate the figures of the publication '3D KMC-based investigation of the influence of dopants on the reliability of VCM ReRAM'.

Estimates of irrigation requirements throughout Germany under varying climatic conditions

Feb 7, 2025 - mGROWA Germany

Herrmann, Frank; McNamara, Ian, 2025, "Estimates of irrigation requirements throughout Germany under varying climatic conditions", https://doi.org/10.26165/JUELICH-DATA/SJ6HJH, Jülich DATA, V1

As climate change brings about hotter and often drier summers, an improved understanding of how irrigation requirements vary according to climatic conditions is of increasing importance. Within Germany, temperate conditions have historically enabled most agriculture to be supplie...

mGROWA Germany(FZJ IBG-3)

Feb 7, 2025mGROWA Water Balance Modelling

This dataverse collects simulation results from the mGROWA model for the territory of the Federal Republic of Germany.

mGROWA Water Balance Modelling(FZJ IBG-3)

Feb 7, 2025Modelling and Management of Catchments

This dataverse provides access to simulation results obtained with the mGROWA water balance model. The model has been developed at the Institute of Bio- and Geosciences IBG-3: Agrosphere (Forschungszentrum Jülich) and implemented in numerous projects since 2010. mGROWA operates a...

Fabrication and characterization of InAs nanowire-based quantum dot structures utilizing buried bottom gates

Feb 7, 2025 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)

Schäpers, Thomas, 2025, "Fabrication and characterization of InAs nanowire-based quantum dot structures utilizing buried bottom gates", https://doi.org/10.26165/JUELICH-DATA/0X7H3S, Jülich DATA, V1

Semiconductor nanowires can be utilized to create quantum dot qubits. The formation of quantum dots is typically achieved by means of bottom gates created by a lift-off process. As an alternative, we fabricated flat buried bottom gate structures by filling etched trenches in a Si...

Modelling and Management of Catchments(Forschungszentrum Jülich)

Feb 6, 2025Reseach Groups

Data for: Modeling cassava root system architecture and the underlying dynamics in shoot–root carbon allocation during the early storage root bulking stage

Feb 6, 2025 - Direction Project

Postma, Johannes Auke, 2025, "Data for: Modeling cassava root system architecture and the underlying dynamics in shoot–root carbon allocation during the early storage root bulking stage", https://doi.org/10.26165/JUELICH-DATA/I0BKK2, Jülich DATA, V1

Background and aims Plants store carbohydrates for later use during, e.g., night, drought, and recovery after stress. Carbon allocation presents the plant with tradeoffs, notably between growth and storage. We asked how this tradeoff works for cassava (Manihot esculenta) pre- and...

Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

Feb 5, 2025 - Campus Collection

Kelsch, Alexander, 2024, "Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method", https://doi.org/10.26165/JUELICH-DATA/0LAIFH, Jülich DATA, V2

Dataset used for the work titled "Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method" and R scripts for the data cleaning, analysis and figure creation.

Replication Data for: Maintaining a Resonance Condition of an RF Spin Rotator Through a Feedback Loop in a Storage Ring

Feb 4, 2025 - Jülich Electric Dipole moment Investigations (JEDI)

JEDI Collaboration, 2025, "Replication Data for: Maintaining a Resonance Condition of an RF Spin Rotator Through a Feedback Loop in a Storage Ring", https://doi.org/10.26165/JUELICH-DATA/Z4JIMO, Jülich DATA, V1

These files contain the published data as CSV files. The filenames correspond to the figure number and the position of the plot in the figure. Each file contains three columns (x,y,dy) with the first line as column header containing axis labels with units.

Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

Jan 31, 2025 - Institute of Fusion Energy and Nuclear Waste Management – Nuclear Waste Management (IFN-2)

Santoso, Ryan; Guignon, Lisa; Deissmann, Guido; Poonoosamy, Jenna, 2024, "Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning", https://doi.org/10.26165/JUELICH-DATA/RZ8RZ3, Jülich DATA, V2

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...

Replication Data for: 3D KMC-based investigation of the influence of dopants on the reliability of VCM ReRAM

Jan 30, 2025 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7)

Kopperberg, Nils; Genua Noguera, Daniel; Menzel, Stephan, 2025, "Replication Data for: 3D KMC-based investigation of the influence of dopants on the reliability of VCM ReRAM", https://doi.org/10.26165/JUELICH-DATA/H155MZ, Jülich DATA, V1

The present data repository contains the matlab scripts and the simulation data obtained with our 3D KMC model to recreate the figures of the publication '3D KMC-based investigation of the influence of dopants on the reliability of VCM ReRAM'.

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