The human brain consists of billions of cells exhibiting extraordinary heterogeneity in molecular composition, localization, electrophysiology, and function. This remarkable diversity, coupled with challenges in sample dissociation and processing, has led to a rich variety of scRNA-seq datasets of the human brain. These include human neurons from fresh tissue (Darmanis et al., 2015), laser-capture microdissection (Nichterwitz et al. 2016), Patch-seq (Lin et al. 2016), and nuclear profiling with plate-based (Lacar et al, 2016) microfluidic (Lake et al., 2016) and droplet-based (Habib et al, 2017; Lake et al 2017), yet all eight datasets measure the same underlying tissue as input. Therefore, the human brain represents an ideal tissue for development and benchmarking of methods for scRNA-seq integration.