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| 4 | | Hierarchical Data Format version 5, known as HDF5, is a general purpose file format that can store every kind of data in a hierarchical manner. An HDF5 file could be described by a tree of nodes. Each node could contain other nodes or leaves and described with attributes. Leaves under a specified node corresponds to stored data and could also have several attributes to describe them. This format is well adapted to scientific data because it allows to store images, tables, matrices and more with efficient I/O and compression options. That's why it has been chosen as a common file format to share data between FACETS members. [http://www.pytables.org/docs/manual/ more details] |
| | 3 | * Quick start http://hdfgroup.com/whatishdf5.html / more complete http://hdfgroup.com/HDF5/RD100-2002/All_About_HDF5.pdf |
| | 4 | * Hierarchical Data Format version 5, known as HDF5, is a general purpose file format that can store every kind of data in a hierarchical manner. An HDF5 file could be described by a tree of nodes. Each node could contain other nodes or leaves and described with attributes. Leaves under a specified node corresponds to stored data and could also have several attributes to describe them. This format is well adapted to scientific data because it allows to store images, tables, matrices and more with efficient I/O and compression options. That's why it has been chosen as a common file format to share data between FACETS members. [http://www.pytables.org/docs/manual/ more details] |