This lecture presents a tutorial on a pipeline for recommending similar neuroscience datasets, focusing on selecting the Blue Brain Nexus project to search neuron morphology metadata conforming to the MINDS knowledge graph schema. The process involves preparing metadata knowledge graph embeddings, training a knowledge graph node embedding model, storing and indexing the embeddings in the Blue Brain Nexus knowledge graph, and ultimately recommending similar neuron morphologies based on the embeddings. Participants will learn how to build knowledge embeddings to support similarity computation between neuroscience dataset metadata and how to utilize Blue Brain Nexus for dataset recommendations.