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Towards improved FAIRness of the ThermoML Archive

Demian Riccardi1, Zachary Trautt2, Ala Bazyleva1

  • 1Thermodynamics Research Center, Applied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, CO, USA.

Journal of Computational Chemistry
|March 24, 2022
PubMed
Summary

The updated ThermoML Archive now offers improved FAIR data access for thermodynamic properties. This NIST resource enhances user experience with advanced search and JSON data formats for easier programmatic use.

Keywords:
FAIR dataJSONJSON-LDThermoMLschemathermochemical propertiesthermophysical properties

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