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
• 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
This data results from the characterization of oil palm boiler ash (OPBA). OPBA preparation was carried out by calcination and ball mill, coprecipitation and addition of PEG 6000 surfactant. Character
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