diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index b9996e7..6882b72 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,5 +1,5 @@
repos:
- repo: https://github.com/errata-ai/vale
- rev: v3.7.1
+ rev: v3.9.6
hooks:
- id: vale
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diff --git a/console.mdx b/console.mdx
index da550b5..1109aad 100644
--- a/console.mdx
+++ b/console.mdx
@@ -11,8 +11,8 @@ The [Tilebox Console](https://console.tilebox.com) is a web interface that enabl
The datasets explorer lets you explore available datasets for your team. You can select a dataset, view its collections, and load data for a collection within a specified time range.
-
-
+
+
When you click a specific event time in the data point list view, a detailed view of that data point will appear.
diff --git a/datasets/managed-datasets/creating-dataset.mdx b/datasets/managed-datasets/creating-dataset.mdx
new file mode 100644
index 0000000..027242c
--- /dev/null
+++ b/datasets/managed-datasets/creating-dataset.mdx
@@ -0,0 +1,93 @@
+---
+title: Creating a dataset
+description: Learn how to create a dataset
+icon: database
+---
+
+This page guides you through the process of creating a dataset in Tilebox.
+
+## Step-by-step guide
+
+
+
+ Create a dataset in Tilebox by going to [My datasets](https://console.tilebox.com/datasets/my-datasets) and clicking the "Create dataset" button.
+
+
+ Choose a dataset kind from the dropdown menu. Prefilled fields for the selected dataset kind are automatically added.
+ Common fields for time series can be found [here](/datasets/timeseries#common-fields).
+ Support for STAC-compatible datasets is coming soon.
+
+
+
+
+
+
+
+ Complete these fields:
+
+ - `Name` is the name of your dataset.
+ - `Code name` is a unique identifier for the dataset within your team. It's automatically generated, but you can adjust it if needed.
+ - `Description` is a brief description of the dataset purpose.
+
+
+
+
+
+
+
+ Common fields for each dataset kind are added automatically. Click "Add field" to add more fields.
+
+ Each field has these properties:
+ - `Name` is the name of the field (it should be snake_case).
+ - `Type` and `Array` let you specify the field data type and whether it's an array. See below for an explanation of the available data.
+ - `Description` is an optional brief description of the field. You can use it to provide more context and details about the data.
+ - `Example value` is an optional example for this field. It can be useful for documentation purposes.
+
+
+
+
+
+
+
+ Once you're done completing the fields, click "Create" to create the dataset. You are redirected to your newly created dataset.
+
+
+
+The next steps are to create at least one collection and ingest data into it.
+
+It might then resemble this:
+
+
+
+
+
+## Editing a dataset
+
+You can edit the dataset by clicking the edit pencil button on the dataset overview page.
+
+On this page, you can change the dataset name, description, add new fields, and edit both description and example for existing fields.
+
+
+ If you don't see the edit pencil button, you don't have the required permissions to edit the
+ documentation.
+
+
+## Adding documentation
+
+In addition to the auto-generated overview page, you can add custom documentation to your dataset.
+This documentation is displayed on the dataset page and can be used to provide more context and details about the data.
+
+
+
+
+
+
+To add documentation, click the edit pencil button on the dataset page to open the documentation editor.
+You can use Markdown to format your documentation; you can include links, tables, code snippets, and other Markdown features.
+
+
+ If you don't see the edit pencil button, you don't have the required permissions to edit the
+ documentation.
+
+
+Once you are done editing the documentation, click the `Save` button to save your changes.
diff --git a/datasets/managed-datasets/data-types.mdx b/datasets/managed-datasets/data-types.mdx
new file mode 100644
index 0000000..bdd3230
--- /dev/null
+++ b/datasets/managed-datasets/data-types.mdx
@@ -0,0 +1,69 @@
+---
+title: Data types
+description: Learn
+icon: file-binary
+---
+
+Tilebox supports primitives and data for data fields. These are defined in [well_known_types.proto](https://github.com/tilebox/tilebox-go/blob/main/apis/datasets/v1/well_known_types.proto).
+Tilebox also uses Google well-known-types [Duration](https://protobuf.dev/reference/protobuf/google.protobuf/#duration) and [Timestamp](https://protobuf.dev/reference/protobuf/google.protobuf/#timestamp).
+
+
+ If there is a data type you want to see in Tilebox,
+ please get in touch.
+
+
+## Primitive types
+
+
+ A string of characters.
+
+
+
+ A 64-bit signed integer.
+
+
+
+ A 64-bit unsigned integer.
+
+
+
+ A 64-bit floating-point number.
+
+
+
+ A boolean.
+
+
+
+ A sequence of bytes.
+
+
+## Time types
+
+
+ A duration of time. See [Duration](https://protobuf.dev/reference/protobuf/google.protobuf/#duration) for more information.
+
+
+
+ A point in time. See [Timestamp](https://protobuf.dev/reference/protobuf/google.protobuf/#timestamp) for more information.
+
+
+## Identifier types
+
+
+ A [universally unique identifier (UUID)](https://en.wikipedia.org/wiki/Universally_unique_identifier).
+
+
+## Geospatial types
+
+
+ A latitude and longitude pair.
+
+
+
+ A latitude, longitude, and altitude triplet.
+
+
+
+ Geospatial geometries of type Point, LineString, Polygon or MultiPolygon.
+
diff --git a/mint.json b/mint.json
index 09c38ab..df8762a 100644
--- a/mint.json
+++ b/mint.json
@@ -104,6 +104,14 @@
"datasets/timeseries",
"datasets/collections",
"datasets/loading-data",
+ {
+ "group": "Managed datasets",
+ "icon": "bars-progress",
+ "pages": [
+ "datasets/managed-datasets/creating-dataset",
+ "datasets/managed-datasets/data-types"
+ ]
+ },
"datasets/open-data",
"datasets/storage-clients"
]