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Raw data and figures for "Increasing Sensitivity and Versatility in NMR Supersequences with New HSQC-based Modules"

<p>Datasets, pulse programmes, processing scripts, and figures for the publication &quot;Increasing Sensitivity and Versatility in NMR Supersequences with New HSQC-based Modules&quot; (J. Magn. Reson., accepted, 2021).</p> <p>Please see the README.txt file for more information.</p> <p>If you are only interested in pulse programmes and processing scripts, then this dataset will likely be too big for your liking (it is ca. 9 GB because there is a lot of&nbsp;2D data). You can download the pulse programmes and processing scripts from the Bruker User Library&nbsp;https://www.bruker.com/en/services/bruker-user-library.html.</p> <p><strong>Changelog</strong></p> <p>v1.0.1: some quality of life improvements to the Python NUS script to stop it from being accidentally used on old pulse programmes.</p> <p>v1.0.2: fixed a bug in the v1.0.1 Python script. It now also resets FnTYPE in case the user has changed it.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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