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5.0 KiB
description
| description |
|---|
| Retrieve detailed information about a specific NDP dataset |
NDP Dataset Details
Get comprehensive metadata and resource information for a specific dataset.
This command provides access to detailed dataset metadata through the NDP MCP.
Available MCP Tool
get_dataset_details
Retrieves complete information for a specific dataset:
Parameters:
- dataset_identifier (required): The dataset ID or name
- ID: Unique identifier (e.g., "a1b2c3d4-5678-90ef-ghij-klmnopqrstuv")
- Name: Human-readable name (e.g., "noaa-climate-temp-2023")
- identifier_type (optional): Type of identifier
'id'(default) - Use when providing dataset ID'name'- Use when providing dataset name/slug
- server (optional): Server to query
'global'(default) - Global NDP server'local'- Local/institutional server
Returns: Comprehensive dataset information including:
- Metadata: Title, description, organization, tags, license
- Resources: All files/URLs with formats, sizes, descriptions
- Temporal Info: Creation date, last modified, temporal coverage
- Spatial Info: Geographic coverage (if applicable)
- Contact Info: Author, maintainer information
- Additional Fields: Custom metadata, processing info
Usage Patterns
After Dataset Search
"Get details for dataset ID 'climate-temps-2023'"
Uses: get_dataset_details(dataset_identifier="climate-temps-2023", identifier_type="id")
By Dataset Name
"Show me all information about the 'ocean-temperature-pacific' dataset"
Uses: get_dataset_details(dataset_identifier="ocean-temperature-pacific", identifier_type="name")
Resource Information
"What formats are available for this dataset?" (after finding it in search)
Uses: get_dataset_details(dataset_identifier="<from_search>")
Quality Assessment
"Review the metadata quality for dataset 'satellite-imagery-2024'"
Uses: get_dataset_details(dataset_identifier="satellite-imagery-2024", identifier_type="name")
Information Retrieved
Core Metadata
- Title: Dataset name
- Description: Detailed description with methodology
- Organization: Owner organization
- Tags: Keywords for discoverability
- License: Usage rights and restrictions
Resource Details
For each resource (file/URL):
- Format: File format (CSV, JSON, NetCDF, HDF5, etc.)
- URL: Download link
- Description: Resource-specific description
- Size: File size (if available)
- Created/Modified: Timestamps
Additional Information
- Author/Maintainer: Contact information
- Temporal Coverage: Date ranges
- Spatial Coverage: Geographic extent
- Version: Dataset version
- Related Datasets: Links to related data
- Processing Info: Data processing details
When to Use
- After Search: Follow up on interesting datasets from search results
- Before Download: Verify dataset contents and formats
- Quality Review: Check metadata completeness for curation
- Citation Info: Get complete information for proper attribution
- Resource Selection: Choose specific files/formats from dataset
- Metadata Validation: Assess dataset documentation quality
Workflow Integration
- Search First: Use
/ndp-searchto find datasets - Get IDs: Note dataset IDs or names from search results
- Retrieve Details: Use this command for complete information
- Download: Use resource URLs from details for data access
Example Interactions
Example 1: Complete Dataset Review
User: "Get complete information for dataset ID 'abc123-climate'"
Claude uses: get_dataset_details(dataset_identifier="abc123-climate")
Result: Full metadata, all resources, download URLs, temporal/spatial coverage
Example 2: Resource Exploration
User: "What files are included in the NOAA temperature dataset?"
Claude uses:
1. search_datasets(owner_org="NOAA", search_terms=["temperature"])
2. get_dataset_details(dataset_identifier="<id_from_search>")
Result: List of all resources with formats and descriptions
Example 3: Metadata Quality Check
User: "Review the documentation for this oceanographic dataset"
Claude uses: get_dataset_details(dataset_identifier="<provided_id>")
Analysis: Evaluates description, tags, resource documentation, contact info
Example 4: Multi-Dataset Comparison
User: "Compare the resources available in these three datasets"
Claude uses: get_dataset_details() for each dataset
Result: Side-by-side comparison of formats, sizes, documentation
Tips
- Use IDs when available: More reliable than names
- Check both servers: Same dataset name might exist on multiple servers
- Review all resources: Datasets often have multiple files/formats
- Note download URLs: Save resource URLs for data access
- Check temporal coverage: Ensure data covers your time period of interest
- Verify formats: Confirm file formats are compatible with your tools
- Read descriptions carefully: Important processing details often in descriptions