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Published June 12, 2021 | Version v1.0.1

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

  • 1. University of Oxford
  • 2. Ohio State University
  • 3. Bruker UK Ltd.

Description

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).

Please see the README.txt file for more information.

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.

Changelog

v1.0.1: some quality of life improvements to the Python NUS script to stop it from being accidentally used on old pulse programmes.

Files

noah_sehsqc_data.zip

Files (9.0 GB)

Name Size
md5:8b15fcfde36829aced04cf35d25bf4ea
9.0 GB Preview Download