***************************** Supported Formats and Layouts ***************************** Generics ======== These export into common, general-purpose formats. Available: * suitcase-tiff --- image data TIFF stacks or individual TIFF files * suitcase-csv --- scalar data as Common-Separated Values * suitcase-json-metadata --- JSON with just experiment metadata ("header") In Progress: Planned: * suitcase-yaml-metadata --- YAML with just experiment metadata ("header") There is often room for interpretation in how exactly to lay out the data into a given file format. If a generic suitcase does not meet your needs, we encourage you to write (or request) a one-off. "One-offs" ========== These are tailored to one specific application, writing files to the requirements of a particular software program or user. Available: * suitcase-specfile --- Text files traditionally generated by SPEC. There is no formal schema for the format and details vary by implementation. This one validated using the specfile importer in `PyMca `_. In Progress: * suitcase-nexus-archive --- a variety of the NeXuS HDF5 layout Planned: * suitcase-data-exchange --- `DataExchange from APS `_ * suitcase-xafs-data-interchange --- XAFS Data Interchange (doi:10.1088/1742-6596/712/1/012148) Backends ======== These encode the data into a format intended to be accessed through a programmatic interface such as databroker. They are not generally intended to be read by humans or opened directly by data analysis software. Rather, they are for internal archival. Available: * suitcase-msgpack (`msgpack `_) * suitcase-jsonl (`Newline-delimited JSON `_) * suitcase-mongo Planned: * suitcase-bson