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Scholarly knowledge graphs are valuable sources of information in severalresearch fields. Despite the number of existing datasets related topublications and researchers, resource quality, coverage and accessibility arestill limited. This article presents the Enhanced Microsoft Academic KnowledgeGraph, a large dataset of information about scientific publications andinvolved entities, and the methods developed to build it. Data includesgeographical information, researchers' collaborative networks and movementsbetween institutions, academic-related metrics, and linguistic features. Thedataset merges information from several data sources and has high temporal andspatial 7 coverage, allowing several use cases.

EMAKG: An Enhanced Version Of The Microsoft Academic Knowledge Graph