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Thank you this has been a long-requested feature!

Currently, we can't filter for different measurement sets on different systems. So now, it's either ['L1C', 'C1C'] for every system you selected, or 'C1C' for every system selected, there isn't...

One can of course do such selections after reading, that is fundamental to the choice of using `xarray` as an output data type.

I think it's worth to consider this as a future enhancement. One could maintain the current usage of passing a string, list or tuple of systems. But then if one...

Thanks for the detailed report, we'll look into this

Sorry for my delay. Using your file: ```sh dat = gr.load("cutsamp.16o",meas=['C1C','S1C',],use=['G']) ``` results in ``` Dimensions: (sv: 12, time: 1) Coordinates: * time (time) datetime64[ns] 2016-01-08 * sv (sv)

Thank you very much for these detailed reports!

Thanks Volker, yes due to read buffering and the like, it is very speedy to just skip satellites. Right, for the command-line `ReadRinex` as well as the direct Python API,...

Try https://github.com/scivision/georinex/commit/bf068c32392a19d6e0802364b34f74ceb4f15112 this enabled `meas='L1C'` or `meas=['L1C', 'C1C']` etc. as you have proposed. Currently, I did it for RINEX OBS 3 only (if it works for you then I'll do...

Note: https://github.com/scivision/georinex/commit/bf068c32392a19d6e0802364b34f74ceb4f15112 fixes a previous error in the new `meas=` feature you were testing. I agree, wildcard based on simple regex is highly useful as well