NMR and various x-ray structures are an obvious source, but what about generating structures that are intermediate between these (with appropriate geometry minimizations)? What about homology models of proteins that are very similar in sequence? Or even using homology models of less related structures to guide which interpolated structure to pick?
Compare ensembles generated this way with long-time-scale MD ensembles (PCA projects).