HIVE is a high heat flux experimental facility at the UK Atomic Energy Authority designed to test plasma facing components for fusion devices. This data has been generated to train machine learning models to maximise the impact of the facility. There are 4 datasets; PowerVariation.hdf - This is for training models to predict the amount of power delivered to a component by the induction heating system, and the variation (non-uniformity) of the heating profile. JouleHeating.hdf - Values for the Joule heating on the coil adjacent surface. This is used to train a 2D surrogate model of the heating profile. Values are in W/m^3. TempNodal.hdf - Temperature at each node of the component. This is used to train a 3D surrogate model of the temperature field throughout the component. Values are in Celcius. VMNodal.hdf - Von Mises stress at each node within the component. This is used to train a 3D surrogate model of the Von Mises tress field throughout the component. Values are in MPa. HIVE_component.med - Mesh file which is required for constructing surrogate models.