Considering the experimental requirement for the tools for compound identification presented here, we evaluated the use of a NOAH supersequence comprising of HMBC, HSQC, and TOCSY, named gns_noah3-BSpT downloaded from the genesis web portal. A comparison between the HSQC spectra acquired from hsqcedetgpsis2 and gns_noah3-BSpT is shown (Figure ). Rich spectra are shown for both experiments as it was expected, but the spectra acquire using gns_noah3-BSpT has shown more peaks and higher intensity peaks than the conventional hsqcedetgpsis2. A full comparison between these experiments is outside the scope of this review, but NOAH supersequences are strongly encouraged not only for pure compounds and structure elucidation to save NMR instrument time. The COLMARm and MADByTE uses HSQC and TOCSY (and/or HSQC-TOCSY) data, SMART-NMR uses HSQC data, and NMRfilter uses mainly HMBC and HSQC data (HSQC-TOCSY data can be used but it is not required). This evaluation is presented at figure SI.6.1-SI.6.3 using the G. biloba extract sample. Noticeably, the time savings for the acquisition of gns_noah3-BSpT using the same parameters was found to be around 45% (12 h 18 min for 32 scans and 1.5 s of recovery time) compared to the use of hmbcetgpl3nd (HMBC), hsqcetgpprsisp2.3 (HSQC), and dipsi2gpphpr (TOCSY) together; Non-Uniform Sampling (NUS) is also possible to be used with these options. This data set can then be used with all the aforementioned tools for better coverage of annotations. The idea is to acquire enough data to enable users to use the plethora of tools to aid compound annotation in early stages of chemical profiling studies.