10.26165/JUELICH-DATA/RZ8RZ3Santoso, RyanRyanSantoso0000-0003-3228-5277Forschungszentrum JuelichGuignon, LisaLisaGuignonForschungszentrum JuelichDeissmann, GuidoGuidoDeissmannForschungszentrum JuelichPoonoosamy, JennaJennaPoonoosamyForschungszentrum JuelichDataset for: Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learningJülich DATA2024ChemistryComputer and Information ScienceEarth and Environmental Sciencesdroplet microfluidicscalcium carbonatemachine learningunetSantoso, RyanRyanSantosoForschungszentrum 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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, which should be used in conjunction with the cac and deeplab Python libraries.