HDF5 :cite:`HDF:01` has many important characteristics for scientific data storage. It offers platform-independent binary data storage with optional compression, hierarchical data ordering, and support for MPI-based parallel computing. Data are stored with alphanumeric tags, so that one can examine a HDF5 file’s contents with no knowledge of how the file writing program was coded. Tools for this examination include the HDF5-supplied command-line utility :cite:`HDF:02` to examine the contents of any HDF5 file, or the freely-available Java program :cite:`HDF:03` to interactively examine the file.
At synchrotron facilities using the EPICS :cite:`EPICS:01` software for area detectors :cite:`AD:01` with the NDFileHDF5 plugin :cite:`AD:02`, is possible to save Data Exchange files by properly configure the detector and the HDF schema attribute files .
This reference guide describes the basic design principles of Data Exchange, examples of their application, a core reference for guidelines common to most uses, and coding examples.
- The definition of the scientific data exchange.
- A python interface for writing scientific data exchange files.
- XML attribute files for writers with the EPICS Area Detector HDF plug-in.
- Based on Hierarchical Data Format 5 (HDF5).
- Focuses on technique rather than instrument descriptions.
- Provenance tracking for understanding analysis steps and results.
- Ease of readability.
- Documentation: https://github.com/data-exchange/dxfile/tree/master/doc
- Issue Tracker: https://github.com/data-exchange/dxfile/issues
- Source Code: https://github.com/data-exchange/dxfile
.. toctree:: :maxdepth: 1 source/introduction source/reference source/xraytomo source/install source/api source/demo source/credits source/appendix