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Institute of Fusion Energy and Nuclear Waste Management – Nuclear Waste Management (IFN-2) (Forschungszentrum Jülich)
The dataverse of the Institute of Fusion Energy and Nuclear Waste Management – Nuclear Waste Management (IFN-2)
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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
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...
Effluent and Mineral Transformation.xlsx
MS Excel Spreadsheet - 36.3 KB - SHA-256: 3ec0c29106a63f93f006d0e4208599318666f939cc47dc7de66cd3d6abe155a3
Pressure and pH.xlsx
MS Excel Spreadsheet - 35.0 KB - SHA-256: ffaa37036c8f53adcff9e4589a47981870de722440061a68d5bb25242454731b
Read Me.txt
Plain Text - 3.0 KB - SHA-256: 5cd46bc199f2cc4bba3a6b81815be44e88f9dee5342c73430599de4ca1f81e22
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
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...
10.tif
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11.tif
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12.tif
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13.tif
TIFF Image - 373.8 MB - SHA-256: 482906d351b0605f6b560c13bee9801bf0f5f9b7faff8d119846dde5b4d06e8d
14.tif
TIFF Image - 373.8 MB - SHA-256: 31b8229acdc9130e48d1a4969f10685391dd737e0a8342be30fa2a59a828e1aa
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