HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids.
Columbus, Ohio - November 28: Ohio State food scientist leverages OSC resources to uncover the nutritional benefits of fruits and vegetables
Columbus, Ohio - November 7: University of Maine scientist relies on OSC resources for data-intensive research on pathogen infections in wildlife
Columbus, Ohio - October 31: Karyopharm Therapeutics scientists search for biomarkers to yield targeted patient treatments