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This lecture covers metadata standards for neuroscience datasets, emphasizing the importance of organizing metadata for machine accessibility, searchability, and integration. It also explores examples like the Gene Ontology (GO) and brain region ontology, highlighting the role of brain atlases in linking semantics to space and organizing data related to gene expression, neuronal types, imaging, and physiology.