DCN-69: “‘Data for ‘Robust, accurate, and efficient: quantum embedding using the Huzinaga level-shift projection operator for complex systems’”, a chemistry simulation dataset, was submitted to the DCN by Valerie Collins and curated by Xuying Xin.
This was a high quality dataset, and Xuying’s only recommendations were to make small changes to the documentation and to rename the dataset to reflect the associated manuscript.
Xuying’s recommendations were accepted and the recommended minimal curation actions (small metadata or documentation edits/additions) were taken.
For more information about this dataset please click the linked identifier above. Thank you Xuying and Valerie!
This was a high quality dataset, and Chen had only a few recommendations relating to the dataset’s documentation including: reconciling conflicting license information, adding the software version, providing a commit number for the code, providing more information about the purpose and usage of the code.
Fortunately, the depositor accepted Chen’s recommendations and minimal curation actions (small metadata and documentation edits/additions) were taken!
For more information about this dataset please click the linked identifier above. Thank you Chen and Rachel!
The purpose of this Dataset Digest series of blog posts is to keep our followers informed and up to date on the curation activities of the DCN! These weekly updates will summarize datasets that have been curated by the network. Once a dataset is “finalized” (curation is complete, any necessary updates or changes have been made, and the dataset has been made publicly available via the local partner repository) we add it to our website and include it in our weekly digest. Thank you for following our progress!