001025158 001__ 1025158
001025158 005__ 20250203103443.0
001025158 0247_ $$2doi$$a10.5281/ZENODO.10184579
001025158 037__ $$aFZJ-2024-02735
001025158 041__ $$aEnglish
001025158 1112_ $$aPolymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical Video Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer
001025158 245__ $$aPolymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical 
001025158 260__ $$c2023
001025158 3367_ $$031$$2EndNote$$aGeneric
001025158 3367_ $$2DataCite$$aOther
001025158 3367_ $$0PUB:(DE-HGF)27$$2PUB:(DE-HGF)$$aProject$$bproject$$mproject$$s1738571516_3777
001025158 3367_ $$2BibTeX$$aMISC
001025158 3367_ $$2ORCID$$aOTHER
001025158 3367_ $$2DINI$$aOther
001025158 500__ $$aVideo Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli
001025158 520__ $$aDataset used for the training of the segmentation model employed in the work 'Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer' by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.
001025158 536__ $$0G:(DE-HGF)POF4-1222$$a1222 - Components and Cells (POF4-122)$$cPOF4-122$$fPOF IV$$x0
001025158 588__ $$aDataset connected to DataCite
001025158 650_7 $$2Other$$aPEMWE
001025158 650_7 $$2Other$$aelectrolyzer
001025158 650_7 $$2Other$$aDataset
001025158 650_7 $$2Other$$aAnnotated
001025158 650_7 $$2Other$$aImages
001025158 650_7 $$2Other$$aSegmentation
001025158 650_7 $$2Other$$aDeep Learning
001025158 650_7 $$2Other$$aMachine Learning
001025158 650_7 $$2Other$$aBubble
001025158 773__ $$a10.5281/ZENODO.10184579
001025158 8564_ $$uhttps://zenodo.org/records/10184579
001025158 909CO $$ooai:juser.fz-juelich.de:1025158$$pVDB
001025158 9131_ $$0G:(DE-HGF)POF4-122$$1G:(DE-HGF)POF4-120$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1222$$aDE-HGF$$bForschungsbereich Energie$$lMaterialien und Technologien für die Energiewende (MTET)$$vElektrochemische Energiespeicherung$$x0
001025158 9141_ $$y2024
001025158 9201_ $$0I:(DE-Juel1)IEK-13-20190226$$kIEK-13$$lIEK-13$$x0
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001025158 980__ $$aI:(DE-Juel1)IEK-13-20190226
001025158 980__ $$aUNRESTRICTED
001025158 981__ $$aI:(DE-Juel1)IET-3-20190226