Raw data is acquired and processed at the Allen Institute, combined with metadata (including 3-D neuronal coordinates, stimulus information, eye-tracking data, and running speed) and packaged into NWB files. Each such file is intended to be a complete, self-contained data record for one experimental session in one animal. NWB files are uploaded to three different locations in the cloud: The Amazon Web Services (AWS) Registry of Open Data, the Distributed Archives for Neurophysiology Data Integration (DANDI) repository, and the Allen Institute data warehouse (accessed via the AllenSDK, a Python API for searching for relevant sessions and downloading data). Raw data is also uploaded to the AWS Registry of Open Data. End users can either analyze data in the cloud or download data for local analysis.