Assuming that you have obtained the appropriate permissions and have properly cited the source of the data, there is nothing ethically wrong with using the dataset for your research and comparing your results with the published results. It is generally considered good practice in research to replicate findings from previous studies and verify their accuracy. As long as you follow the principles of good research conduct, such as obtaining prior consent and citing your sources properly, there should be no ethical violations. However, you should still check any relevant guidelines or regulations specific to your field, as well as any contractual requirements, to ensure that you are adhering to all legal and ethical standards.

In general, it is allowed to use a dataset for further analysis or to solve a problem using alternative techniques/software if the dataset is publicly available and the published paper includes a reference to it. However, it is crucial to make sure that you cite the original paper as the dataset's source and give the authors of that paper the correct credit.

The legal ability to utilize the dataset for your intended purposes must also be confirmed. Some datasets might only be usable for non-commercial purposes, require permission from the original authors, or have other limitations on their use. To make sure you are using the dataset properly, you should carefully study any conditions of use or licensing agreements that are related to it.

The methods and tools you are employing should also be carefully evaluated to see if they are acceptable for the dataset and the research topic you are attempting to answer. It's possible that specific techniques or software won't work well with the dataset you're using or won't yield accurate findings. As a result, it's crucial to carry out the proper validation and verification of any results that were acquired using the dataset and the methods/software you've selected.