lamm-mit/claimm-datasets
skills/claimm-datasets/SKILL.md
Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets
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SKILL.md
- name:
- claimm-datasets
- description:
- Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets
- emoji:
- 🗄️
CLAIMM Dataset Search
Search and discover datasets from NETL's Energy Data Exchange (EDX) CLAIMM collection. Provides access to 200+ US-focused critical minerals datasets including geological surveys, geochemical analyses, deposit locations, and resource assessments.
Usage
Basic search:
python3 {baseDir}/scripts/claimm_search.py --query "lithium deposits"
Filter by tags:
python3 {baseDir}/scripts/claimm_search.py --query "rare earth" --tags "geochemistry,geology"
Get dataset details:
python3 {baseDir}/scripts/claimm_search.py --dataset-id "some-dataset-uuid"
JSON output:
python3 {baseDir}/scripts/claimm_search.py --query "cobalt mining" --format json --limit 20
Parameters
| Parameter | Description | Default |
|-----------|-------------|---------|
| --query | Search query for dataset discovery | - |
| --tags | Comma-separated tags to filter by | - |
| --dataset-id | Specific dataset ID to retrieve details | - |
| --limit | Maximum datasets to return | 20 |
| --format | Output format: summary, detailed, json | summary |
Examples
# Search for lithium deposit datasets
python3 {baseDir}/scripts/claimm_search.py --query "lithium deposits"
# Geochemistry datasets for rare earths
python3 {baseDir}/scripts/claimm_search.py --query "rare earth" --tags "geochemistry"
# Get detailed info for a specific dataset
python3 {baseDir}/scripts/claimm_search.py --dataset-id "abc123" --format detailed
# All critical minerals datasets in JSON
python3 {baseDir}/scripts/claimm_search.py --query "critical minerals" --format json --limit 50
Notes
- Requires
EDX_API_KEYenvironment variable - CLAIMM = Critical and Lanthanide Inorganic Mineral Materials
- Hosted by NETL (National Energy Technology Laboratory) on EDX platform
- Datasets include CSVs, shapefiles, and metadata
- US-focused but includes some international deposit data
- For production statistics, use
bgs-productioninstead
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