The catalog can be used to index many different types of datasets. The text below gives important information about the main types of datasets that exist, and some guidelines for what shouldn't be indexed.

Acceptable Data Types

Model outputs: The output of numerical weather prediction models, such as DALES, HARMONIE and other types of numerical simulations, reanalyses and forecasts. This category partially overlaps with the "Derived/Processed data" category.
In-situ observations: these are datasets collected directly at the location of interest. For example from rain gauges, anemometers, spectrometers etc..
Remote-sensing observations: These are datasets collected from a distance, typically using ground-based remote sensors or satellites.
Derived/Processed Data: these are datasets that were obtained by processing, merging or blending together different in-situ and/or remote sensing data. For example physical retrievals, model reanalyses and higher-level datasets based on other datasets.
Geospatial Data: datasets that include spatial information about the Earth's surface, sub-surface and atmosphere. For example GIS layers, coordinate systems, grids, projections etc..

What should not be indexed?

Software: numerical weather models, toolboxes, etc. should not be indexed. However, the data that they produce can be indexed.
Data analysis scripts: For example, Python notebooks, Matlab, R or C scripts should not be indexed. The latter can be documented and distributed through the Ruisdael github page.
Articles: peer-reviewed papers, technical reports, presentations and other forms of written/oral publications should not be indexed in the catalog.
datasets that do not have any link to the Ruisdael project.