  Over recent decades, the value of conducting experiments at lower frequencies
and in inhomogeneous and/or time-variable fields has grown. For example, an
interest in the nanoscale heterogeneities of hydration dynamics demands
increasingly sophisticated and automated measurements deploying Overhauser
Dynamic Nuclear Polarization (ODNP) at low field. The development of these
methods poses various challenges that drove us to develop a standardized
alternative to the traditional schema for acquiring and analyzing coherence
pathway information employed by the overwhelming majority of contemporary
Nuclear Magnetic Resonance (NMR) research. Specifically, on well-tested, stable
NMR systems running well-tested pulse sequences in highly optimized,
homogeneous magnetic fields, traditional hardware and software quickly isolate
a meaningful subset of data by averaging and discarding between 3/4 and 127/128
of the digitized data. In contrast, spurred by recent advances in the
capabilities of open-source libraries, the domain colored coherence transfer
(DCCT) schema implemented here builds on the long-extant concept of Fourier
transformation along the pulse phase cycle domain to enable data visualization
that more fully reflects the rich physics underlying these NMR experiments. In
addition to discussing the outline and implementation of the general DCCT
schema and associated plotting methods, this manuscript presents a collection
of algorithms that provide robust phasing, avoidance of baseline distortion,
and the ability to realize relatively weak signals amidst background noise
through signal-averaged correlation alignment. The methods for visualizing the
raw data, together with the processing routines whose development they guide
should apply directly to or extend easily to other techniques facing similar
challenges.
