Unfortunately, I cannot open the whole article. Thus, can only base what I see in a given interpretation of such:
1. Showing that one of the groups has a bias in their dataset dos not constitute a conspiracy or data fudging, but can be a result of multiple factors (apparatus systematic error, bugs in the code, etc.)
2. Having this paper published in a journal shows the ABSENCE of a "scientific conspiracy." On the contrary, it shows an open discussion among scientific groups.