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nyaml: A Python package that converts NeXus application definitions and base classes from the NXDL XML format to the YAML format and vice versa

Authors: Mozumder, Rubel; Pielsticker, Lukas; Kühbach, Markus; Albino, Andrea; Dobener, Florian; Shabih, Sherjeel; Márquez Prieto, José A.; +4 Authors

nyaml: A Python package that converts NeXus application definitions and base classes from the NXDL XML format to the YAML format and vice versa

Abstract

nyaml is a Python software tool designed for developers and users of the NeXus data exchange format (https://www.nexusformat.org/). The tool converts files that follow the NeXus Definition Language (NXDL) from XML to [YAML](https://yaml.org/), and vice versa. NXDL is used to define experiment instruments, setups, or scientific data objects from experiments in a schema-based structure. Writing NeXus data schemas via the indentation-based formatting of YAML offers a more concise writing and reduces common sources of formatting inconsistencies, while still adhering to NeXus standards. The tool requires users to follow a specific grammar for embedding NeXus data structures to ensure compatibility with NXDL (see the full documentation at https://fairmat-nfdi.github.io/nyaml/). The work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 460197019 (FAIRmat) (https://gepris.dfg.de/gepris/projekt/460197019?language=en). Visit the [FAIRmat page](https://www.fairmat-nfdi.eu/fairmat/about-fairmat/consortium-fairmat) for more info.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average