A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of precipitation predictions from r
All TSP samples were collected during 2016-2017. The Hg content and five Hg isotope ratios in each sample were respectively determined using a CVAFS detector and an MC-ICP-MS in 2018. The OC/EC conten
Pomegranate Fruit Diseases datasets should be efficient and clean for creating accurate and consistent machine-learning models and minimizing misclassification in real-time scenarios. The publicly ava
• The data presented in the article provides a fundamental building block of the next-generation Internet of things-enabled optical-wireless communication architectures for big data gathering in the e
