> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mapxagent.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Built-in datasets
> MapX ships a curated catalog of global datasets — terrain, water, climate, hazards, population, facilities and boundaries — that you can add to any project without uploading anything.
The built-in catalog is a curated set of global datasets already prepared for analysis. Instead of finding, downloading, and cleaning a worldwide raster or boundary file, you add the entry to your project and start working — fields are typed, styles are set, attribution and licence are attached, and the layer behaves exactly like an upload.
## Where to find it
Open the top menu and choose **Datasets**. The same catalog is one click away from the empty state of the **Data** panel, which links to built-in data and scenarios.
The catalog is organized as:
| Kind | What it is |
| - | - |
| **Dataset** | A single prepared layer — one raster, one vector layer, or a table — such as a DEM, a river network, or an administrative boundary set |
| **Scenario** | A bundle of datasets for a study area, with questions to start from. See [Scenarios](/en/concepts/scenarios) |
## Browse and filter
The filter rail on the left narrows the catalog by **topic**, **industry**, and **purpose**, and the search box matches names and scenarios:
* **Topics** — terrain & land surface, water & watersheds, climate & ecology, hazards & environmental quality, population & settlements, facilities & transport, economy & industry, boundaries & governance.
* **Industry** — vertical catalogues that package datasets with the method and the data a sector needs. Urban & rural planning is the first of these; see [Scenarios](/en/concepts/scenarios) for the six planning scenarios it ships with.
* **Purpose** — suitability evaluation, carrying capacity, 15-minute neighbourhood and facility coverage, facility siting, urban growth monitoring, land-use conflict screening.
## Read the entry before adding it
Selecting an entry shows everything you need to judge whether it fits your analysis:
| Section | What it tells you |
| - | - |
| Source and attribution | Who produced the data and how to credit it |
| Licence and status | The licence terms, plus whether the entry is ready, still pending data, or under licence review |
| Refresh cadence | How often the upstream source updates |
| Geometry and size | Point, line, polygon, raster, H3 grid or table, with feature counts or raster dimensions |
| Field notes | What each column or raster band means, in words |
| Region previews | City-sized subsets you can add instead of the global file |
| Suggested prompts | Example questions that work with this data |
| Analysis tools | The analysis tools this dataset is commonly used with |
## Add data to a project
Built-in data is added to the project you are working in, so open or create a workspace first.
Some entries are global and heavy. If the entry offers **region previews**, choose the city or region you need — the layer covers your study area at a fraction of the size.
The entry is imported as a normal layer: it appears in the layer list with its default style, legend, and attribution. Scenarios use **Use scenario** instead, which imports every layer in the bundle at once.
From here the layer is like any other. Restyle it in [Layers](/en/concepts/layers), run an [analysis](/en/concepts/analysis) on it, or include it in a [report](/en/concepts/reports).
Added datasets count against your plan's storage. Global rasters and dense building footprints are the large ones — add a region preview when you only need one city.
## Entries that are not ready yet
The catalog is honest about availability. An entry can be listed while it is still being prepared, and the platform tells you which case you are in:
* **Planned / data pending** — the entry is registered but its payload is not published yet. It cannot be added.
* **Licence review** — the upstream licence is being verified; the entry stays visible but disabled.
* **Region preview only** — the global file is too large to serve, so only regional subsets are offered.
* **Retired** — the entry was removed; historical projects that already used it keep their layers.
## Related
* [Scenarios](/en/concepts/scenarios) — datasets bundled with a study area and a method
* [Analysis](/en/concepts/analysis) — what to do with a dataset once it is on the map
* [Files](/en/concepts/files) — how uploaded files are stored and managed
* [Data security](/en/account/data-security) — where project data lives
This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.