This is one of the datasets of the first causality challenge: causation and prediction. The goal of the challenge was to make predictions under manipulations.
MARTI (Measurement ARTIfact) is obtained from the same data generative process as REGED, a source of simulated genomic data. But a noise model is added to simulate the imperfections of the measurement device.
For the pot-luck challenge, the task proposed is to discover the causal network in the neighborhood of the target.