Welcome to the Capella Datascience documentation. Capella Datascience provides a comprehensive suite of scientific data engineering, visualization, and modeling tools integrated directly into the Eclipse and Model-Based Systems Engineering (MBSE) environment.
| Section | Description |
|---|---|
| Getting Started | Introductory guides for opening NetCDF files, browsing THREDDS catalogs, rendering scientific plots, and setting up Jupyter/Python scripting. |
| Concepts & Architecture | Core concepts covering NetCDF binary formats, the NcML 2.2 metadata digital twin, multi-dimensional array slicing, THREDDS/OpenDAP services, .ncconfig visualization modeling, and Apache SIS geospatial reprojection. |
| Tasks & Workflows | Step-by-step practical guides for loading datasets, configuring heatmaps and colorbars, slicing extra dimensions, exporting visualization books, searching metadata, and running remote data queries. |
| Reference & Extensibility APIs | Technical specifications for plugin extension points (including netcdfIOProvider), Java APIs (NcmlUtils, NetcdfNativeRegistry, NCConfigResourceUtils), EMF meta-models, and workbench components. |
| Samples & Tutorials | Real-world case studies and sample workflows demonstrating meteorological and oceanographic data exploration, Capella MBSE environmental contextualization, and Python data science pipelines. |
Window > Perspective > Open Perspective > Other... > Data Exploration.