Data Explorer

Data Explorer

Search it, trace it, build on it — 25,000+ open GIS datasets from 1,400+ publishers, with provenance on every layer, so your first project never starts empty.

Data Explorer searching open GIS data for rainfall: 321 datasets with map previews, publishers and licences
Benefits

Start on a living data foundation, not a blank project.

Search in plain language

Describe what you need in a sentence and the catalogue returns the layers that answer it — no metadata query syntax.

Provenance on every layer

Source, licence and version travel with the dataset, so anything you map can be traced and defended.

Your data in the same search

Upload your own datasets and they sit beside the public ones — one search across both.

Features

Indexed, previewed and governed — from the first click.

A foundation that is already loaded

25,000+ open datasets — boundaries, population, satellite imagery, land cover, climate, transport, health — each with a preview, sample rows and a checked licence, continuously refreshed.

Browse the open data catalogue
Semantic search across the whole catalogue

Search by meaning, not just by title: a question about flood risk finds the rainfall, catchment and elevation layers behind it.

See it on the platform
Open formats in, open formats out

Bring Shapefile, GeoJSON, CSV and Excel in; take any dataset back out in its original format whenever you want it.

How the APIs work
Governed from the first click

Roles, permissions and provenance are attached to the data itself — not to a copy someone has to maintain by hand.

See governance
Use cases

Where teams start with Data Explorer.

Dense settlement fabric beside a rail corridor
An education ministry maps every school against the districts it serves

School registers arrive as names and enrolment figures with nothing to place them against. Uploading that register beside the catalogue's boundary, population and transport layers puts every school on one map of the country — exportable as CSV or GeoJSON into the ministry's own GIS.

Health facilities across Peru summarised on a hexagon grid, made by OrionAI
A public health team sees where a country's facilities actually are

A facility list only becomes a picture of access when it sits against boundary and population layers — work that normally takes weeks of chasing files between offices. Plain-language search returns them together: asked to summarise health facilities in Peru, OrionAI found the Healthsites layer and the national boundary in the index and counted 12,671 facilities on a 25 km hexagon grid. Only 601 cells hold a facility and the busiest holds almost 3,000, so the concentration is visible at a glance.

Africa at night, settlement picked out in light
An electrification agency builds its plan on mapped evidence, not spreadsheets

A rural electrification plan has to show where connections should go, but the evidence sits in PDFs and disconnected spreadsheets. Population, boundary and land-cover layers come together in one view and leave in open formats, so the plan is argued from a map anyone can check.

FAQ

Questions, answered.

What is Data Explorer?

The catalogue and geoportal of OrionGIS: a governed, searchable index of your own datasets and 25,000+ open public ones, with provenance attached to every layer. It is where a project starts.

Where does the catalogue data come from?

National statistics offices, UN programmes, space agencies and open-data portals — 1,400+ publishers in all — plus anything your team uploads. Publisher, source and licence stay visible on every dataset.

Can we use the catalogue without OrionGIS?

Yes. Every dataset is exposed through standard OGC services (WMS/WFS/WCS) and a REST API, so it drops straight into QGIS, ArcGIS or any other client your team already runs.

Ready to start on real data?

Open the catalogue, run your first search, and build on layers you can trace back to their source.