In the context of Nanotechnology, large datasets refer to extensive collections of data generated from various experiments, simulations, and observations at the nanoscale. These datasets are crucial for understanding the properties, behaviors, and interactions of nanomaterials, which are materials with structures between 1 to 100 nanometers.