A tiled multi-city urban objects dataset for city-scale building energy simulation

City-scale building energy simulation provides a significant reference for planning and urban management. However, large-scale building energy simulation is often not feasible due to the huge amount of computational resources required and the lack of high-precision building models. Here, We developed a tiled multi-city urban objects dataset and a distributed data ontology. Such a data metric not only transforms the conventional whole-city simulation model into patch-based distributed simulations but also incorporates interactive relationships among objects in cities. This dataset stores urban objects (8,196,003 buildings; 238,736 vegetations; 2,381,6698 streets; 430,364 UrbanTiles; 430,464 UrbanPatches), UrbanTiles, and UrbanPatches) from thirty major cities in the United States. It also aggregated morphological features for each UrbanTile.