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 is a manually annotated individual tree crown delineation dataset for the Luquillo Forest Dynamics Plot in Puerto Rico. For a detailed description, please refer to the following data descriptor:
The dataset contains the semi-adiabatic temperature measurement of mass blocks of M50 grade concrete proportioned with (i) ordinary portland cement (OPC) with crushed sand (CS), (ii) OPC with 20% repl
