There is a publicly-available dataset generated by an experiment from a publication. I replicated the experiment to generate my own dataset. I wasn't able to perfectly replicate the original experiment because the authors did not provide enough information. Even though our experimental setup is not the same, we are capturing the same type of data.
First, I applied classification methods on the publicly-available dataset. Then, I applied classification methods on my own dataset. Would it be valid to combine both datasets and apply classification methods on the pooled datasets even though they were generated by different experiments?