How about McKubre - better quality so more liked by me?
Which experiment, specifically, would you pick is best proof? (Counting a run of experiments using identical methodology as a single experiment - with one-off many sigma outliers excluded).
I suggest you look at all of the experiments he published. Read both the summaries and details. I suggest this because:
1. In experimental science, experiments must be replicated in different labs. In the same lab they must be repeated. One experiment might be wrong. Two, less likely. Ten, or a hundred, even less likely. Note that is is not true in other branches of science, or in technology. One test flight of a new airplane proves it works. (Of course you need many test flights to learn exactly how well it works, and what problems there may be.)
2. McKubre did different experiments to learn different things about the effect. The sum total of knowledge revealed by the entire set of experiments is more convincing and more educational than any single experiment. Showing there is heat in some experiments is good. Showing that it correlates with loading is even better, because loading cannot cause an artifact in calorimetry. You can only correlate heat with loading in many different experiments, preferably from different labs, like this:
From https://lenr-canr.org/acrobat/McKubreMCHcoldfusionb.pdf
In other words, some information is a synthesis of many different experiments. You cannot learn it from looking at just one experiment.
3. You have to look at control experiments and failed experiments as well as positive ones.
4. You will see the basis of the McKubre equation, which is interesting.