---
title: Starter Kit Datasets & APIs
---

# Starter Kit: Datasets & APIs

To make contributing as seamless as possible, we provide ready-to-use "Jump-Start" notebooks and curated datasets. 

These templates demonstrate how to query spatial and environmental APIs, process geodata in cloud environments, and create publication-ready maps without starting from scratch.

```{admonition} Low Barrier to Entry
:class: hint
You can launch every starter notebook directly in your browser using the 🚀 icon (Google Colab or Jupyter4NFDI). Feel free to copy code snippets directly into your own HaCLAthon contribution!
```

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## Available Starter Modules

::::{grid} 2

:::{grid-item-card} IOER Monitor API
**Spatial Indicators for Germany**
Learn how to query automated raster and vector layers on settlement density, building stock, and green spaces via OGC services (WCS/WFS).
+++
{doc}`Explore IOER Monitor Notebook <../notebooks/102_data_retrieval_monitor>`
:::

:::{grid-item-card} Biodiversity Data (GBIF)
**Global Species Occurrences**
Query species occurrence records from the Global Biodiversity Information Facility (GBIF) and intersect them with spatial administrative boundaries.
+++
{doc}`Explore GBIF Notebook <../notebooks/103_data_retrieval_gbif>`
:::

::::

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## How to Reuse These Templates

1. **Test in Browser:** Launch any module above to experiment with the code live in Jupyter.
2. **Extract Snippets:** Copy relevant API queries or plotting functions for your own research question.
3. **Build Your Story:** Connect these data streams with domain insights to create your own HaCLAthon chapter (see our {doc}`/chapters/00_quickstart`).