We present a dataset of signal strength measurements from 103 wireless links in a community internet network in New York City, paired with data from 37 personal weather stations. By tracking how rain and snow weaken these signals at one-minute intervals across Manhattan and Brooklyn, we show that community networks can serve as low-cost weather sensing systems. The dataset and analysis demonstrate its use for real-time precipitation monitoring in cities.