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It's a small thing but strange. The number of datasets shown in the left frame does not correspond to the number of datasets in the result list for the category "Energy" or the organization "Federal Office of Energy".
The cube with title ""Modellergebnisse EP2050+: Szenario ZERO Basis, KKW-Laufzeit 50 Jahre, ausgeglichene Jahresbilanz" is count twice for the count on the left. This particular cube is at version 5. The version 4 lacks an expire pattern (unlike versions 3, 2, 1). The version 4 of the cube should be fixed and have an <http://schema.org/expires> predicate so that it is considered expired.
So: I have to say that the need of a <http://schema.org/expires> predicate is totally new to me. I guess it's automatically set by the CubeCreator to the former version when a new one is created.
Version 5 of this cube is only a draft, while 4 is not. In other words, Version 4 is still the officially valid one and thus not expired.
My guess is that Visualize should not only check for expiring date but if some of the still active versions are drafts to keep the lists consistent. @ptbrowne what do you think?
@ptbrowne this case shows multiple versions can definitely occurs intentionally (one versoin published, a later one draft). Thus the counting logic needs to be corrected to reflect this kind of situation...
It's a small thing but strange. The number of datasets shown in the left frame does not correspond to the number of datasets in the result list for the category "Energy" or the organization "Federal Office of Energy".
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