'data discontinuity' is a correct and usable phrase in written English.
You can use it when you need to refer to a sudden break or interruption in the continuity of data. For example, "We noticed some data discontinuity in the readings from our sensors."
However, the vast majority of this discrepancy (23 percentage points out of 27) is, as I have shown in this post, due to data discontinuities.
There are data discontinuities (jumps) in 35 observatories; in the case of 15 observatories (BDV, DOB, ESK, HER, HBK, HLP, IQA, LER, NVS, PPT, PST, SFS, TRO, TSU and WNG) these discontinuities have been known (since reported by the observatories in their annual mean values).
Combined with the tremendous growth in new observational data, regression discontinuity designs can play an important role in generating causal evidence on the health effects of interventions and exposures in real-world settings.
Although it is difficult to make definitive conclusions from thermal-tolerance correlation data, the discontinuity between low and high thermal tolerances suggests the possibility that the mechanisms underlying thermal tolerance in the two regions are different and evolutionarily divergent.
Figure 6c shows the stereographic projection of the collected field survey structural data: five main discontinuity sets were identified, JN3 set in particular, including high persistent decimetric-spaced discontinuity planes (=exfoliation joints, EJ) dipping parallel with respect to the slope, represent slipping planes isolating large rock mass portions.
The discontinuity data were collected by the line-survey technique and evaluated by statistical methods.
Also, variability of discontinuity data in cluster sets is not easy to consider using the stereonet-based method.
Schmidt Hammer tests and discontinuity data were collected on Blue Lias limestone shore platforms in Wales, UK, and sandstone platforms in Victoria, Australia.
Furthermore, we show an example case with data sets of discontinuity orientation compiled from the literature, in which the spectral clustering algorithm provides more natural partitions than the other algorithms considered.
