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 "Increasing Sensitivity and Versatility in NMR Supersequences with New HSQC-based Modules" (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 2D data). You can download the pulse programmes and processing scripts from the Bruker User Library 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