With AI and Machine learning needing data in abundance, interest in data discovery is intense. However, this type of discovery is somewhat different from more traditional data base searches, in that it is particularly suited for machine discovery as well as by humans. The discovery searches are conducted using an aggregated and federated metadata store, such as that curated by DataCite. How to construct a suitable search is however still not entirely human-friendly. The start point for understanding how to search is this resource: XML to JSON mappings and the XML referred to can be found here. [cite]10.14454/g8e5-6293[/cite] Since the learning curve to construct such data searches can be quite steep, I thought I would share as a library some recent searches I constructed for a talk I am giving. This post is essentially an extension and update of an earlier challenge I was set along these lines and which appeared here.[cite]10.1255/sew.2022.a10[/cite]