[A team of researchers led by Ahmed Eldawy at UC Riverside have created a dataset called WildfireDB that contains over 17 million data points that capture how fires have spread in the contiguous United States over the last decade. The dataset can be used to train machine learning models to predict the spread of wildfires.]
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