Abstract
A street-level temperature and humidity dataset with high resolution spatial and temporal components has been created for the island of Manhattan, suitable for use by the urban health and modeling communities. It consists of a set of pedestrian measurements over the course of two summers converted into anomaly maps, and a set of ten light-post mounted installations measuring temperature, relative humidity, and illumination at three minute intervals over three months. The quality control and data reduction used to produce the anomaly maps is described, and the relationships between spatial and temporal variability are investigated. The data sets are available for download via the project website.
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