HDF5 [B6] 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 [B5] to examine the contents of any HDF5 file, or the freely-available Java program [B7] to interactively examine the file.
At synchrotron facilities using the EPICS [B1] software for area detectors [B11] with the NDFileHDF5 plugin [B10], 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