📡 DataNET Documentation

The spatial intelligence layer of MAGNET4WATER. See the system, build the data model, then simulate. Federated access to 145+ provider domains, 530+ service endpoints, 17K+ unique layers (73K+ layer records) — plus 3D site characterization powered by VTK and Cesium. Site characterization is the first model: the act of selecting, fusing, rendering, and interpreting data is already a defensible understanding of the system, before any physics model runs.

▶ See DataNET in Action 📡 Launch DataNET 🤖 Ask DataNET AI

Open by design. DataNET federates thousands of live geospatial layers across 530+ endpoints from 145+ providers — USGS, NASA, NOAA, ESA, USDA, EPA, BGS, IGRAC, MRLC, Stanford, Cornell CUGIR, VLIZ, and many more — through standard protocols (WMS, WFS, WCS, OGC API, ArcGIS REST).

Metadata as a first-class citizen. Every layer carries sources, abstracts, resolution, limitations, versions, publishers, references, and search keywords — because raw data without provenance isn't usable for serious work.

Your data stays yours. Bring your own data via your GeoServer node; it stays on your infrastructure. Transfer any data → any model → any field with one click. Nothing is locked in.

Two Pillars of DataNET Documentation

Each pillar serves a distinct need. Start with tutorials for first-time tasks; come back to Realtime Help for per-element reference as you build.

Tutorials below are listed in suggested learning order. Each is a focused 5–15 minute task. Both pillars are kept in sync with the live DataNET interface.

🎓 Quick Tutorials

Step-by-step walkthroughs — from finding layers in the Data Library to building a complete data-enabled groundwater model. Includes the end-to-end DataNET-based Groundwater Model example (Maple Creek, ND) showing flexible data routing, federation, and USGS 3DEP LiDAR capability.

Browse all 9 quick tutorials →

🛠️ Realtime Help

Realtime Help is more than a reference library — it's the knowledge layer of the platform. Modeling concepts, governing science, numerical methods, per-element operational help, visualization guidance, and the foundational engine references — organized hierarchically so you can stop at any depth and still have what you need. Especially deep on federated data access patterns, GIS protocols, metadata standards, site characterization workflows, and VTK/Cesium 3D fusion.

🌐 Browse the DataNET Reference Library
Per-element reference for every DataNET UI component, hierarchically organized — open the dedicated reference index to navigate by topic area.

What's inside: Data layer browsing · climate and weather selection · land cover and soil access · aquifer and lithology lookup · water quality queries · well and gage data

Why a separate index? Flat lists hide structure and overwhelm. The reference library groups related topics into clear categories so you find what you need in seconds, not minutes.
Layer BrowserClimateLand & SoilAquifersWater QualityWells & Gages
Open Reference Library →
Open DataNET AI Launch DataNET ← All Documentation
← ConduitNET Docs↑ TopPricing →