

- GAUSSIAN WINDOW FUNCTIIN IN INMR SOFTWARE
- GAUSSIAN WINDOW FUNCTIIN IN INMR SERIES
- GAUSSIAN WINDOW FUNCTIIN IN INMR FREE
All of these options are easily accessible from the “File” menu. Import of processed 1D spectra is also supported for Bruker data.
GAUSSIAN WINDOW FUNCTIIN IN INMR SERIES
Data import therefore supports the standard Varian array structure and Bruker “ser” files, as well as a series of consecutively numbered 1D datasets in either format. Array structures as a function of up to two independent variables are supported (e.g., spectra as a function of both diffusion and relaxation). Many of the analysis tools in GNAT are tailored for use with series of NMR spectra, whether as a function of gradient level (typical for diffusion data), of an incremented delay (typical for relaxation data), or of some other variable, such as spectra from a time-series. As such, it currently supports import of data from Bruker, Varian, and JEOL instruments, but it can easily be extended to support other formats. The GNAT is intended to provide a user-friendly tool for analysing NMR data, primarily high resolution, independent of source. All the example data used in this publication can also be found at the DOI: 10.17632/pyr9688wvb.1. The GNAT can be downloaded from our website ( ), where we intend to publish updates as well as making more detailed and updated documentation and test data available. This publication is intended in part as a short introductory manual, highlighting the most important features and illustrating them with real experimental data. The aim of this publication is to present the major features of the GNAT program to the wider NMR community and to give an overview of its general features. The GNAT works within the MATLAB® environment, which has extensive libraries of mathematical computation and visualisation routines, making the GNAT flexible and easily extendable. As open-source software, it allows users to implement their own algorithms.
GAUSSIAN WINDOW FUNCTIIN IN INMR SOFTWARE
The intention is to provide a more general tool for analysing NMR data, independent of acquisition platform, to complement the manufacturers' software offerings. This new toolbox is based on and replaces the DOSY Toolbox (although existing versions of the DOSY Toolbox will remain available).
GAUSSIAN WINDOW FUNCTIIN IN INMR FREE
Here, we describe the GNAT (General NMR Analysis Toolbox), a free and open-source platform, released under the General Public License, for processing and analysing NMR data. The first official version was released in 2009, and it has since become a useful tool for many scientists, complementing other NMR software. DOSY 26, 27) data, although sometimes used for other purposes. 17- 25 One example is the popular DOSY (Diffusion-Ordered SpectroscopY) Toolbox, 23 a free and open-source software package typically intended for processing NMR diffusion (a.k.a.

12- 16 In recent years, an increasing number of free software packages, often produced by individual researchers or groups to cover specific needs, have been produced.

They can be classified into three main categories: (a) supplied by spectrometer manufacturers, 1- 5 (b) commercial packages, 6- 11 and (c) free software. A variety of software packages are available for processing high-resolution NMR data.
