discover_data_for_topic
Find relevant environmental datasets for research topics like soil carbon, deforestation, or air quality by searching across global geospatial collections.
Instructions
Discover relevant datasets for a research topic.
Given a natural language description of a topic (e.g., 'soil organic carbon', 'Amazon deforestation', 'air quality', 'snow cover'), searches across all collection titles, descriptions, and keywords to find relevant datasets ranked by relevance.
Args: topic: Research topic in natural language. Examples: 'carbono orgânico do solo', 'vegetation indices', 'land surface temperature', 'human footprint'.
Returns: TopicDiscovery dict with ranked results and total found.
Example: discover_data_for_topic("soil organic carbon") discover_data_for_topic("desmatamento na Amazônia")
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes |