This week in Neo4j has seen the release of the new temporal and geospatial data types, which are being showcased through a React.js application. The Neo4j ETL Tool has also been featured, with tutorials available on how to use it for data integration. David Meza, Chief Knowledge Architect at NASA, is this week's featured community member, known for his work on building a graph of the public NASA Engineering Network lesson learned database. Jennifer Reif has written a detailed post explaining how to use the Neo4j ETL Tool from the Neo4j Desktop, and Will Lyon has shown how to build an application that makes use of the temporal and geospatial data types in Neo4j 3.4. The Neo4j JDBC Driver 3.3.1 release is also available, with support for Neo4j clusters, routing, read-only transactions, and bookmarks for causal consistency. Additionally, a new dataset called CLEVR graph has been released, which aims to help further research into machine reasoning on graph datasets, while Amass and Mal6raph have been developed as tools for network mapping and malware analysis. The Sinar Project has also built a network chart of the 1Malaysia Development Berhad fund, and there are upcoming events in the world of graph databases.