Johnny,
The experiment vs spectra vs experiment series terminology can be a bit
unclear (at least it was to me). The idea is that a ccpnmr experiment is
actually just a single dataset (i.e. single 1D or 2D or 3D). If you run
a series of different measurements (e.g. 2Ds) as part of a T1 series you
should *not* put them as individual spectra within a single experiment,
but instead set them as distinct experiments that you can subsequently
define as part of an experiment series.
As a side note: based on my initial misunderstanding of these terms I
was originally actually thinking it was a great feature to have multiple
spectra as part of a single experiment, until I realized that that is
not what it is meant for (I gather the idea is instead that you could
have different 'spectra' based on the same FID that are processed in
different ways, e.g. with/without resolution enhancement or so)
Regarding your specific question: I am not sure you can do what you
descibe, regarding turning spectra into experiments, basically. The
easiest might be to make sure to not delete the experiment you have now,
and just open the datasets as new experiments. Then you can propagate
the assignments to from your original spectra to the new experiments.
Patrick
Johnny Croy wrote:
> Just a quick question.
>
> I have a series of T1 experiments (with alternating T1 delays) that I have
> imported into Analysis under the same experiment. This means that I have a
> single experiment T1_bound that contains individual spectra for each time
> delay. However, in order to create an experimental series, I need to have
> each of the spectra as an individual experiment (this seems backwards to me
> in terms of bookkeeping) in order to make a series and use the rates
> analysis function in Analysis.
>
> My question is this. Since I have already peak picked and referenced these
> spectra, is it possible to remove each individual spectra from the single
> experiment and create a new experiment from that data?
>
> - Johnny
>
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