Institute of Energy and Climate Research – Nuclear Waste Management (IEK-6)

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1 to 10 of 715 Results

Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging Dec 5, 2024 Wegner, Lara; Pohlmeier, Andreas; Wang, Yumeng; Klinkenberg, Martina; Bosbach, Dirk; Poonoosamy, Jenna, 2024, "Experimental Data for: Investigating 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, V1 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 Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging MS Excel Spreadsheet - 37.7 KB - SHA-256: 2f59cecc07c6660f8b06846898dfa50d41c6bd410ecbf076e9f93d05ae89079a
Gas Content.xlsx Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging MS Excel Spreadsheet - 25.8 KB - SHA-256: ba0530879e41780a451cb4550dff6c92af3ddebb7f85702db0319dc7309b7520
Pressure and pH.xlsx Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging MS Excel Spreadsheet - 34.6 KB - SHA-256: 2e438e852ea64d13adf712956e9a311b87004bbf66ddeaf0a7202cde7c5b1f01
Read Me.txt Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging Plain Text - 1.8 KB - SHA-256: 32227afeb907cb1e41828f7fc2a0c7612497c07e2a5d27f68ef2087f2948d13a
Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate Oct 10, 2024 Santoso, Ryan; Guignon, Lisa; Deissmann, Guido; Poonoosamy, Jenna, 2024, "Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate", https://doi.org/10.26165/JUELICH-DATA/RZ8RZ3, Jülich DATA, V1 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...
0.png Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate PNG Image - 145.5 KB - SHA-256: 13995e8bbff6a9e6d8fcd10236d29cefe6f1654012f0fe06177d14f6a6035512
0.png Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate PNG Image - 300.6 KB - SHA-256: 29a3c0eff09e5cc4d3ab4c3e2f1d69af1304f4da3b9e08a96cb92c42f7a35bd1
0.tif Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate TIFF Image - 38.6 MB - SHA-256: 789043bbab57c279afe445ca3bb88a274d504d3febbb2945b11a1c7f10c41bd6
0.tif Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate TIFF Image - 38.5 MB - SHA-256: 36cdc11e4415df7c14e28af205c071ca163b2312f8844e9dc3197552bfbdab13

Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging

Dec 5, 2024

Wegner, Lara; Pohlmeier, Andreas; Wang, Yumeng; Klinkenberg, Martina; Bosbach, Dirk; Poonoosamy, Jenna, 2024, "Experimental Data for: Investigating 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, V1

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

Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging

MS Excel Spreadsheet - 37.7 KB - SHA-256: 2f59cecc07c6660f8b06846898dfa50d41c6bd410ecbf076e9f93d05ae89079a

Gas Content.xlsx

Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging

MS Excel Spreadsheet - 25.8 KB - SHA-256: ba0530879e41780a451cb4550dff6c92af3ddebb7f85702db0319dc7309b7520

Pressure and pH.xlsx

Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging

MS Excel Spreadsheet - 34.6 KB - SHA-256: 2e438e852ea64d13adf712956e9a311b87004bbf66ddeaf0a7202cde7c5b1f01

Read Me.txt

Dec 5, 2024 - Experimental Data for: Investigating Coupled Mineral Dissolution and Precipitation Processes with Gas Production in Porous Media Using Magnetic Resonance Imaging

Plain Text - 1.8 KB - SHA-256: 32227afeb907cb1e41828f7fc2a0c7612497c07e2a5d27f68ef2087f2948d13a

Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate

Oct 10, 2024

Santoso, Ryan; Guignon, Lisa; Deissmann, Guido; Poonoosamy, Jenna, 2024, "Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate", https://doi.org/10.26165/JUELICH-DATA/RZ8RZ3, Jülich DATA, V1

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...

0.png

Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate

PNG Image - 145.5 KB - SHA-256: 13995e8bbff6a9e6d8fcd10236d29cefe6f1654012f0fe06177d14f6a6035512

0.png

Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate

PNG Image - 300.6 KB - SHA-256: 29a3c0eff09e5cc4d3ab4c3e2f1d69af1304f4da3b9e08a96cb92c42f7a35bd1

0.tif

Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate

TIFF Image - 38.6 MB - SHA-256: 789043bbab57c279afe445ca3bb88a274d504d3febbb2945b11a1c7f10c41bd6

0.tif

Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate

TIFF Image - 38.5 MB - SHA-256: 36cdc11e4415df7c14e28af205c071ca163b2312f8844e9dc3197552bfbdab13

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