A collection of datasets from Publication: HuBMAP Data Portal: A Resource for Multimodal Spatial and Single-Cell Data of Healthy Human Tissues
Year: 2026
Type: other
Abstract: The NIH Human BioMolecular Atlas Program (HuBMAP) Data Portal (https://portal.hubmapconsortium.org/) serves as a comprehensive repository for multimodal, multi-scale spatial and single-cell data from healthy human tissues. As of June 2026, the portal hosts 9,232 public datasets from 25 data types spanning 29 organ classes across 498 donors. Portal infrastructure and user interfaces support data search and discovery, visualization, and analysis directly in web browsers. These capabilities include metadata- and data-driven search, collaborative Workspaces with access to high-performance compute, and interactive Vitessce visualizations across non-spatial, 2D, and 3D spatial datasets. Data-type-specific uniform processing pipelines and rigorous quality control processes ensure comparability of results across laboratories, organs, and donors, while externally processed community-contributed datasets provide complementary perspectives. Here we describe portal functionality, infrastructure, and design, and highlight its role as a platform for large-scale spatial single-cell research across diverse data types, organs, and scales.
Authors: Morgan L Turner, Thomas C Smits, Tiffany Liaw, Brendan Honick, Bill Shirey, Lisa Choy, Nikolay Akhmetov, Shaokun An, David Betancur, Dominic Bordelon, Karl Burke, Ivan Cao-Berg, John Conroy, Chris Csonka, Penny Cuda, Sean Donahue, Stephen Fisher, Derek Furst, Ed Hanna, Josef Hardi, Tabassum Kakar, Mark Keller, Devin Lange, Xiang Li, Yan Ma, Alison McWilliams, Austen Money, Richard Morgan, Eric Moerth, Juan Muerto, Mark Musen, Emily Nic, Martin O'Connor, Gesina Phillips, Alexander Ropelewski, Ryan Sablosky, Sravani Saripalli, Max Sibilla, Derek Simmel, Alan Simmons, Xu Tang, Joel Welling, Zhou Yuan, Martin Hemberg, Matt Ruffalo, Jonathan Silverstein, Phillip Blood, Nils Gehlenborg
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7203782940