@fabiosferra could you please also review the PR? Thanks

@fabiosferra could you please also review the PR? Thanks

Thanks @dc-almeida for working on this. I am not very familiar with this package and I have a few questions:

• Is this a validation of regional/global IAMs results? Or is this a validation of downscaled results (to the country-level)?
• Where can I find the list of variables to be validated? What happens if a variable is missing?
• Data validation checks if data values are within specified ranges: what is the source of historical data used to define the 'allowed range'? e.g. Are you using IEA (for energy data) and PRIMAP (for emissions)?

@fabiosferra

1. It is validation for any uploaded IAMC format dataset, so the resolution/granularity is dependent on what is defined in the data (at the row level).
2. The list of variables/regions/etc. to validate are set by the user, in YAML files as shown in the documentation examples. You would only validate data for variables expected to be present. And if you want to ensure certain variables are in the data, that is what the RequiredDataValidator is for.
3. Same as 2., ranges are user-defined according to the criteria they consider appropriate. The config files only need the numerical values to check them against the dataset.

Good to be merged from my side.
Only one follow up question though for @fabiosferra. We said we want to use validation for the downscaling to assess whether or not a submitted data set contains enough information for the downscaling to run. With the instructions provided in this PR, do you think you can use RequiredDataValidator and DataValidator for this?