HDF5 [B7] 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 [B6] to examine the contents of any HDF5 file, or the freely-available Java program [B8] to interactively examine the file.
At synchrotron facilities using the EPICS [B1] software for area detectors [B12] with the NDFileHDF5 plugin [B11], 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.
Issue Tracker: https://github.com/data-exchange/dxfile/issues
Source Code: https://github.com/data-exchange/dxfile