Browsing by Author "University of Minnesota Flow Field Imaging Lab"
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Item Database of snow holograms collected from 2019 to 2022 for machine learning training or other purposes(2022-10-06) Li, Jiaqi; Guala, Michele; Hong, Jiarong; li001334@umn.edu; Li, Jiaqi; University of Minnesota Flow Field Imaging LabThis dataset includes the original combined snow holograms and holograms with image augmentation (rotation, exposure, blur, noise) for YOLOv5 model training to detect and classify snow particles. The individual snow particles are cropped and combined to enrich the particle numbers in each image for the ease of manual labeling. The snow particles are classified into six categories, including aggregate/irregular (I), dendrite (P2), graupel/rime (R), plate (P1), needle/column (N/C), and small particles/germ (G).Item Wind turbine wake flow visualization data from experiments conducted at UMore park on March 5-6, 2018 and April 8-9, 2018(2020-05-20) Abraham, Aliza; Hong, Jiarong; jhong@umn.edu; Hong, Jiarong; University of Minnesota Flow Field Imaging LabThis data includes flow visualization videos using natural snowfall in the wake of a utility-scale (2.5 MW) wind turbine. In addition, the meteorological and SCADA data from the same time periods are included. These datasets are used to analyze the interaction between the wind turbine wake and the ground surface, which has important implications for understanding the impact of wind farms on their surroundings, particularly in the area of agriculture.