Pupier, Marion, Nuzillard, Jean-Marc, Wist, Julien, Schloerer, Nils E., Kuhn, Stefan and Jeannerat, Damien (2018). NMReDATA, a standard to report the NMR assignment and parameters of organic compounds. MRC. Wiley.

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Item Type: Journal Article
Translated abstract:
AbstractLanguage
Even though NMR has found countless applications in the field of small molecule characterization, there is no standard file for the NMR data relevant to structure characterization of small molecules. A file format was developed to associate the NMR parameters extracted from 1D and 2D spectra of organic compounds to the assigned chemical structure. These NMR parameters, which we shall call NMReDATA (for nuclear magnetic resonance extracted data), include chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times and diffusion rates. The file format is an extension of the existing SDF (Structure Data Format), which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, automating the verification of published results, and for assisting the constitution of highly needed open-source structural databases.English
Creators:
CreatorsEmailORCID
Pupier, MarionUNSPECIFIEDUNSPECIFIED
Nuzillard, Jean-MarcUNSPECIFIEDUNSPECIFIED
Wist, JulienUNSPECIFIEDUNSPECIFIED
Schloerer, Nils E.UNSPECIFIEDUNSPECIFIED
Kuhn, StefanUNSPECIFIEDUNSPECIFIED
Jeannerat, DamienUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-81631
Journal or Publication Title: MRC
Publisher: Wiley
Subjects: Chemistry and allied sciences
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Institute of Organic Chemistry
Language: English
Date: 14 January 2018
Refereed: No
URI: http://kups.ub.uni-koeln.de/id/eprint/8163

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