We are looking for data sets which are divided into a treatment and control group and where a "treatment effect" can be identified.
It is important only that the sample is "large", since we want to be able to run computations on sub-samples. "Large" is in this context simply defined as " even with a sub-sample of the data, the main treatment effect can be identified."
- The field from which the data stems could be any (e.g. medicine, economics, biology, pol sci).
- "Treatment" should be random, binary and ideally without any stratification (simply i.i.d Bernoulli)
- It is fine (and even desired) if this data has been studied extensively in previous studies.
The more independent data sets we could get the better.
Update/Edit: I feel I need to add that I placed the bounty after the first two answers were given, with the intention of rewarding additional answers!