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Publication Year: 2024

31 to 40 of 3,515 Results

normality_up.txt Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method Plain Text - 88 B - SHA-256: 68cedb27b66444ae1730820853b30d47baf68bcd146334811fa9095148693b0b
sf01.pdf Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method Adobe PDF - 8.3 KB - SHA-256: 00edc409eb2b3f17df290a3a61b5db15d7f29ed0c138e092224287742723b43d
sf02.pdf Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method Adobe PDF - 8.4 KB - SHA-256: 6aa0e32bc09bac717b86ae0530f2085beb5f1f7e8cbf7a66f377fab9bc266800
tukey_up.txt Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method Plain Text - 1.5 KB - SHA-256: 43b0be477e9389ed5134f7130d6773a4f4945eb8521deb146a2e1459c46af302
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...
10.tif Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning TIFF Image - 373.8 MB - SHA-256: cfae122c6a042c06914c82480caae102dce399599b712bddd8444b9ee757dba5
11.tif Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning TIFF Image - 373.8 MB - SHA-256: 9be7691955a67b29300357a1aa0885476781a0827cc7ab8c24e51a5458f2cd54
12.tif Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning TIFF Image - 373.8 MB - SHA-256: 1dcdb86fbc6720000b8247e39eac9b41b01dc181baf6406057376f22975010f8
13.tif Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning TIFF Image - 373.8 MB - SHA-256: 482906d351b0605f6b560c13bee9801bf0f5f9b7faff8d119846dde5b4d06e8d
14.tif Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning TIFF Image - 373.8 MB - SHA-256: 31b8229acdc9130e48d1a4969f10685391dd737e0a8342be30fa2a59a828e1aa

normality_up.txt

Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

Plain Text - 88 B - SHA-256: 68cedb27b66444ae1730820853b30d47baf68bcd146334811fa9095148693b0b

sf01.pdf

Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

Adobe PDF - 8.3 KB - SHA-256: 00edc409eb2b3f17df290a3a61b5db15d7f29ed0c138e092224287742723b43d

sf02.pdf

Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

Adobe PDF - 8.4 KB - SHA-256: 6aa0e32bc09bac717b86ae0530f2085beb5f1f7e8cbf7a66f377fab9bc266800

tukey_up.txt

Feb 5, 2025 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

Plain Text - 1.5 KB - SHA-256: 43b0be477e9389ed5134f7130d6773a4f4945eb8521deb146a2e1459c46af302

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...

10.tif

Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

TIFF Image - 373.8 MB - SHA-256: cfae122c6a042c06914c82480caae102dce399599b712bddd8444b9ee757dba5

11.tif

Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

TIFF Image - 373.8 MB - SHA-256: 9be7691955a67b29300357a1aa0885476781a0827cc7ab8c24e51a5458f2cd54

12.tif

Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

TIFF Image - 373.8 MB - SHA-256: 1dcdb86fbc6720000b8247e39eac9b41b01dc181baf6406057376f22975010f8

13.tif

Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

TIFF Image - 373.8 MB - SHA-256: 482906d351b0605f6b560c13bee9801bf0f5f9b7faff8d119846dde5b4d06e8d

14.tif

Jan 31, 2025 - Dataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning

TIFF Image - 373.8 MB - SHA-256: 31b8229acdc9130e48d1a4969f10685391dd737e0a8342be30fa2a59a828e1aa

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