The catalog lists many different types of data.

Types

model output
in-situ observations
remote-sensing observations
Derived/Processed Data: for example, highly processed datasets, blended satellite and in-situ data, retrievals and datasets based on other datasets.
Geospatial Data: for example, datasets that include spatial information about the Earth's surface, sub-surface and atmosphere. GIS layers etc..

   Historical and Paleoclimate Data (Datasets that provide information about past climates using proxy data or historical records.)
   In-situ Observation (Datasets collected directly at the location of interest.)
   Model Data (Datasets produced by computational models.)
   Remote Sensing Observation (Datasets collected from a distance, typically using satellites or ground-based remote sensors.)

Software should not be part of the catalog and should be shared via the Ruisdael github. But I agree with you that we should provide some better guidelines as to what counts as a dataset. I'll put this on the agenda for the first core group meeting in January/February 2025. For now, if you are not sure, just ask me 🙂

Not a Dataset

software and data analysis scripts. The latter should be indexed, documented and distributed through the Ruisdael github page.
datasets that do not have any link to the Ruisdael project.