Jülich DATA

Metrics

121,439 Downloads

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

File Type: Data

1 to 10 of 3,604 Results

training_log.csv Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate Comma Separated Values - 192.0 KB - SHA-256: d7bd5e66a6030c837726b4280d6851cb59aebbd88893f0c783d84aca8ff4fc5d
training_log.csv Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate Comma Separated Values - 137.9 KB - SHA-256: 1ec46f1091d25a577373696d6fc0bcb78433d6c133db49ed7116eef57bf5deef
training_log.csv Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate Comma Separated Values - 63.9 KB - SHA-256: 79334ccb249f1738d3d49bd97d3d711f3a7acab077bcd3bf5872948a81e8d876
training_log.csv Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate Comma Separated Values - 82.1 KB - SHA-256: 5a0b055dd87f000430ffff5cad7b89a2e4682c36e53d2a5dabafd699eabbb790
training_test_splits.csv Oct 10, 2024 - Dataset for: Machine learning-assisted droplet microfluidics experiments for investigating metastability of amorphous calcium carbonate Comma Separated Values - 252 B - SHA-256: cbd5b6cbf1a2d7143de8db8b44b474352e52505e4363776da709fde61c019727
2Coins_4dia_005thick_005dist.dat Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments Fixed Field Text Data - 158.0 KB - SHA-256: d3fb79b21b9ecc36d61f2064e2291d3ecfe795d9277eec2dbddb2486d314e1f1
2Coins_4dia_01thick_005dist.dat Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments Fixed Field Text Data - 158.0 KB - SHA-256: fb8ad01e70f59564c4c6ec6839f0b6ab0aff313d1a0e451ea574a0468dd49457
2Coins_4dia_05thick_005dist.dat Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments Fixed Field Text Data - 158.0 KB - SHA-256: 40bebe789e0270584625a797281b484c78538467d9dae4862b98e37992005f65
2Coins_4dia_1thick_005dist.dat Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments Fixed Field Text Data - 158.0 KB - SHA-256: 4d7d2ccaf16b46130de247801cc03fc7fd457bc584d1405a06ccd27868857dec
2Coins_4dia_1thick_01dist.dat Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments Fixed Field Text Data - 9.7 MB - SHA-256: 4995195f572db34db4d9334d11b229990f2970394540dcf8e05ef42de53ffc71

training_log.csv

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

Comma Separated Values - 192.0 KB - SHA-256: d7bd5e66a6030c837726b4280d6851cb59aebbd88893f0c783d84aca8ff4fc5d

training_log.csv

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

Comma Separated Values - 137.9 KB - SHA-256: 1ec46f1091d25a577373696d6fc0bcb78433d6c133db49ed7116eef57bf5deef

training_log.csv

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

Comma Separated Values - 63.9 KB - SHA-256: 79334ccb249f1738d3d49bd97d3d711f3a7acab077bcd3bf5872948a81e8d876

training_log.csv

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

Comma Separated Values - 82.1 KB - SHA-256: 5a0b055dd87f000430ffff5cad7b89a2e4682c36e53d2a5dabafd699eabbb790

training_test_splits.csv

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

Comma Separated Values - 252 B - SHA-256: cbd5b6cbf1a2d7143de8db8b44b474352e52505e4363776da709fde61c019727

2Coins_4dia_005thick_005dist.dat

Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments

Fixed Field Text Data - 158.0 KB - SHA-256: d3fb79b21b9ecc36d61f2064e2291d3ecfe795d9277eec2dbddb2486d314e1f1

2Coins_4dia_01thick_005dist.dat

Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments

Fixed Field Text Data - 158.0 KB - SHA-256: fb8ad01e70f59564c4c6ec6839f0b6ab0aff313d1a0e451ea574a0468dd49457

2Coins_4dia_05thick_005dist.dat

Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments

Fixed Field Text Data - 158.0 KB - SHA-256: 40bebe789e0270584625a797281b484c78538467d9dae4862b98e37992005f65

2Coins_4dia_1thick_005dist.dat

Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments

Fixed Field Text Data - 158.0 KB - SHA-256: 4d7d2ccaf16b46130de247801cc03fc7fd457bc584d1405a06ccd27868857dec

2Coins_4dia_1thick_01dist.dat

Jul 22, 2024 - Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments

Fixed Field Text Data - 9.7 MB - SHA-256: 4995195f572db34db4d9334d11b229990f2970394540dcf8e05ef42de53ffc71

Add Data

Share Dataverse

Link Dataverse

Reset Modifications