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Alignment of Abstract para.
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RubelMozumder committed Sep 30, 2024
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Expand Up @@ -63,14 +63,17 @@ repository-code: 'https://github.com/FAIRmat-NFDI/pynxtools'
# url: Not available yet
abstract:

pynxtools is a Python package that provides core functionalities for converting experimental data into HDF5 files that are compliant with NeXus application definitions (https://manual.nexusformat.org/classes/applications/index.html). During the data
conversion process it performs data verification (e.g., checking for expected data types) to ensure
pynxtools is a Python package that provides core functionalities for converting experimental
data into HDF5 files that are compliant with NeXus application definitions
(https://manual.nexusformat.org/classes/applications/index.html). During the data conversion
process it performs data verification (e.g., checking for expected data types) to ensure
compliance with the chosen NeXus application definition. In addition to its standalone
capabilities, pynxtools offers an interface for developing custom reader plugins to
convert experimental raw data into structured HDF5 formats. The package can also be used as a plugin for the NOMAD platform (https://nomad-lab.eu/nomad-lab/), a distributed web-based system for managing materials science data,
allowing users to convert experimental data directly into the NOMAD metainfo format. The
resulting HDF5 files are parsed and stored in the NOMAD central database, ensuring that
the data remains findable, accessible, interoperable, and reusable (FAIR).
capabilities, pynxtools offers an interface for developing custom reader plugins to convert
experimental raw data into structured HDF5 formats. The package can also be used as a plugin
for the NOMAD platform (https://nomad-lab.eu/nomad-lab/), a distributed web-based system for
managing materials science data, allowing users to convert experimental data directly into
the NOMAD metainfo format. The resulting HDF5 files are parsed and stored in the NOMAD central
database, ensuring that the data remains findable, accessible, interoperable, and reusable (FAIR).

This work is part of the FAIRmat project (project ID 460197019), funded by the Deutsche
Forschungsgemeinschaft (DFG, German Research Foundation)
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