Create and Validate Data Source Purpose End-to-end workflow for implementing a new Earth2Studio data source wrapper that connects a remote data store (S3, GCS, Azure, HTTP, HuggingFace) to Earth2Studio's async data fetching infrastructure — from analysis through implementation, testing, validation, and PR submission. Prerequisites - Earth2Studio dev environment with ( must work) - Git configured with fork ( ) and upstream ( ) remotes - Access to the target remote data store (credentials if private) - Python 3.10+ Workspace Use the directory containing . For Harbor evals, write to preserving p…