Nanotechnology research often involves large datasets that require efficient storage, retrieval, and analysis. Traditional data formats may not be capable of handling the complexity and size of these datasets. HDF5 allows for the storage of heterogeneous data types and supports metadata that can describe these datasets comprehensively. This is crucial for ensuring that data can be reused and interpreted correctly in the future.
