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Description: Deep Umbra is a a novel computational framework that enables the quantification of sunlight access and shadows at a global scale. Our framework is based on a generative adversarial network that considers the physical form of cities to compute high-resolution spatial information of accumulated sunlight access for the different seasons of the year. Deep Umbra's primary motivation is the impact that shadow management can have in people's quality of live, since it can affect levels of comfort, heat distribution, public parks, and so on. This is a comprehensive spatial dataset with the accumulated shadow information for over 100 cities in 6 continents. Each zip file contains the shadow information for one city at a given season (fall, summer, winter). Inside each zip file, the map tile files are organized following the Slippy Tile standard. More information: http://evl.uic.edu/shadows