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Jülich DATA (Forschungszentrum Jülich GmbH)
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1 to 10 of 179 Results
Experimental Data for: In-situ Study of Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging
Jun 5, 2025 - Institute of Fusion Energy and Nuclear Waste Management – Nuclear Waste Management (IFN-2)
Wegner, Lara; Pohlmeier, Andreas; Wang, Yumeng; Klinkenberg, Martina; Bosbach, Dirk; Poonoosamy, Jenna, 2024, "Experimental Data for: In-situ Study of Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging", https://doi.org/10.26165/JUELICH-DATA/OBASAC, Jülich DATA, V3
This data set contains the following experimental data collected on coupled processes with gas production for testing conceptual models in reactive transport codes: Effluent concentrations and mineral transformation of the used minerals in the system, determined relative gas and...
Literature Review Data for Modeling Disruptive Events in Renewable Energy Supply: A Review
May 22, 2025 - Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2)
Wijesinghe, Lovindu; Weinand. Jann Michael; Hoffmann. Maximilian; Stolten. Detlef, 2024, "Literature Review Data for Modeling Disruptive Events in Renewable Energy Supply: A Review", https://doi.org/10.26165/JUELICH-DATA/JPN8L6, Jülich DATA, V3
Data for a literature review on the modeling of disruptive events in renewable energy supply based on articles published between 2003 and September 2023. This datasheet provides a summary for each article reviewed, including the modeling technique used, the category of disruptive...
ETHOS.BUILDA: Building Footprint and Height Dataset Germany
Feb 17, 2025 - Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2)
Dabrock, Kristina; Pflugradt, Noah; Weinand, Jann Michael; Stolten, Detlef, 2024, "ETHOS.BUILDA: Building Footprint and Height Dataset Germany", https://doi.org/10.26165/JUELICH-DATA/NYCPXE, Jülich DATA, V2
Zenodo
ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany
Feb 17, 2025 - Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2)
Dabrock, Kristina; Ulken, Jens; Pflugradt, Noah; Weinand, Jann Michael; Stolten, Detlef, 2024, "ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany", https://doi.org/10.26165/JUELICH-DATA/SXYIB6, Jülich DATA, V2
Zenodo
Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method
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.
Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning
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...
HyData: HyPlant FLUO at-sensor radiance data packages and FLOX measurements for SIF retrieval method development from selected campaigns of the years 2018 - 2023
Jan 8, 2025 - HyPlant
Buffat, Jim; Rascher, Uwe; Rademske, Patrick; Siegmann, Bastian; Junker-Frohn, Laura Verena; Emin, Dzhaner; Grygosch, Lars, 2024, "HyData: HyPlant FLUO at-sensor radiance data packages and FLOX measurements for SIF retrieval method development from selected campaigns of the years 2018 - 2023", https://doi.org/10.26165/JUELICH-DATA/QKJKPW, Jülich DATA, V3
This dataset consists of HyPlant FLUO at-sensor radiance measurements from different campaigns in the years 2018 - 2023, FLOX measurements corresponding to several campaigns and matching SFMNN and SFM SIF products.
UAV Data Campus Klein-Altendorf 2023
Dec 20, 2024 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Warstat, Kevin; Bendig, Juliane; Pude, Ralf; Rascher, Uwe; Kleppert, Ireneusz; Grygosch, Lars, 2024, "UAV Data Campus Klein-Altendorf 2023", https://doi.org/10.26165/JUELICH-DATA/2BYDTH, Jülich DATA, V2
UAV images and processed data of plant plots with multispectral and RGB sensors at the experiemental site Campus Klein-Altendorf at13 different days in 2023. Measurements were taken over the site and included several plots with different plants and different experimental setups....
Benchmark Dataset for Field Phenotyping
Benchmark Dataset for Field Phenotyping
Dec 20, 2024 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Grygosch, Lars; Kleppert, Ireneusz; Rascher, Uwe, 2024, "Benchmark Dataset for Field Phenotyping", https://doi.org/10.26165/JUELICH-DATA/3F6OFJ, Jülich DATA, V3
A collection of Datasets as Benchmark for FAIRagro community
Multi-scale field phenotyping of wheat-bean intercrops: Integrating spectral and agronomic datasets from a three-year trial
Dec 20, 2024 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Krämer, Julie, 2024, "Multi-scale field phenotyping of wheat-bean intercrops: Integrating spectral and agronomic datasets from a three-year trial", https://doi.org/10.26165/JUELICH-DATA/XWRNHR, Jülich DATA, V3
Multi-scale and multitemporal dataset including different field phenotypic methods and sensor systems applied on a mixed cropping experiment.
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