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Data_for_the_paper_HD-2D_Routine_high-dispersion two-dimensional NMR Open Access

The present manuscript showcases how compressive sensing and pure shift techniques can be combined to produce two-dimensional NMR spectra with a resolving power far higher than can be achieved by conventional means in just a fraction of the time. Compressive sampling can be used to extend the resolving power of multidimensional experiments, but the effective resolution is ultimately limited by the presence of multiplets. Pure shift techniques can remove the multiplet problem but they are limited by the long experimental times required for the appropriate resolution. An additional advantage of combining the two is that compressive sampling requires sparse or compressible data and pure shift methods increase the sparseness of the data, thus extending the applicability of compressive sensing. The synergic combination of the two (compressed NMR) retains the advantages of both techniques while overcoming their limitations.

Descriptions

Resource type

Dataset

Contributors

Contact person: Aguilar, Juan A. ¹
Creator: Aguilar, Juan A. ¹
Creator: Belda, Raquel ¹
Creator: Kenwright, Alan M. ¹
Creator: Botana, Adolfo ²

¹ Durham University, UK
² Agilent Technologies, UK

Funder

Research methods

NMR; Nuclear Magnetic Resonance

Other description

Keyword

NMR
Compressed sensing
Pure shift NMR
Resolution
Compressive sampling
Compressive sensing
Speed up

Subject

Location

Language

English

Cited in

Identifier

ark:/32150/8g84mm259
doi:10.15128/8g84mm259

Rights

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC)

Publisher

Durham University

Date Created

File Details

Depositor

J.A. Aguilar Malavia

Date Uploaded

11 December 2015, 11:12:05

Date Modified

26 August 2016, 09:08:46

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Characterization

File format: x-rar (RAR archive data, v1d, os: Win32, RAR)

Mime type: application/x-rar

File size: 302840620

Last modified: 2015:12:11 11:30:36+00:00

Filename: Compressed NMR_data_Dec_2015.rar

Original checksum: 83d97f4f39c8cc2c028d4bfdf0022de3