Although there are nowadays many Massive MIMO testbeds around the world, there are very few open datasets with channel measurement results. This will likely change over the next few years, spurred by the need for having common datasets when applying and evaluating machine learning methods in wireless communications.
The Networked Systems group at KU Leuven has recently made the results from one of their measurement campaigns openly available. It includes 36 user positions and two base station configurations: one 64-antenna co-located array and one distributed deployment with two 32-antenna arrays.
The following video showcases the measurement setup:
This is a commendable initiative.
This type of data set should be a goldmine for any research team who wants to try data-driven techniques for the wireless (MIMO) physical layer.