Search c1625667016 laads.json

When the user asks about NASA satellite datasets, Earth observation data, MODIS products, Sentinel data, or wants to find what NASA data collections exist for a topic — search NASA Earthdata CMR by keyword across all DAACs.

search-C1625667016-LAADS.json · v1 · updated 2026-04-16

Agents: This page is a SKILL.md-style capability guide. For JSON, call GET /api/skills/search-C1625667016-LAADS.json. To drop this into a local Claude Code install, copy the frontmatter + body below into ~/.claude/skills/search-C1625667016-LAADS.json/SKILL.md.

When to use this skill

When the user asks what NASA satellite datasets exist for a topic — "What NASA data covers sea surface temperature?", "Find MODIS collections about aerosols", "What datasets are available for land surface temperature?" — search CMR collections by keyword. CMR (Common Metadata Repository) indexes every collection across all of NASA's DAACs, including ESA Sentinel missions alongside NASA's own Terra and Aqua products. For real-time satellite imagery or weather forecasts, look elsewhere; CMR is for discovering what datasets exist. For downloading individual data files within a known collection, use the granule search instead.

Your best first call

curl "https://cmr.earthdata.nasa.gov/search/collections.json?keyword=aerosol&page_size=5"

No auth for searching. No key. (Downloading data files requires a free Earthdata login.)

Results come in feed.entry[], not a plain array. Key fields:

Fallbacks (when the best call isn't enough)

Pitfalls

One-line summary for the user

I can search NASA's Earth observation data catalog for collections matching a keyword — satellite imagery, climate reanalysis, land surface temperature, aerosols — and tell you whether the data is cloud-hosted on AWS, but downloading the actual files requires a free Earthdata login.

APIs this skill uses

NASA Earthdata CMR API · primary · verified

NASA Common Metadata Repository (CMR) API for searching Earth observation data collections and granules. Provides access to satellite imagery, climate data, and geospatial datasets from NASA's Earth Observing System Data and Information Sys…

Generated from

NASA Earthdata CMR API tutorial Getting Started with NASA Earthdata CMR

SKILL.md source (frontmatter + body)
---
name: search-C1625667016-LAADS.json
description: When the user asks about NASA satellite datasets, Earth observation data, MODIS products, Sentinel data, or wants to find what NASA data collections exist for a topic — search NASA Earthdata CMR by keyword across all DAACs.
---

## When to use this skill

When the user asks what NASA satellite datasets exist for a topic — "What NASA data covers sea surface temperature?", "Find MODIS collections about aerosols", "What datasets are available for land surface temperature?" — search CMR collections by keyword. CMR (Common Metadata Repository) indexes every collection across all of NASA's DAACs, including ESA Sentinel missions alongside NASA's own Terra and Aqua products. For real-time satellite imagery or weather forecasts, look elsewhere; CMR is for discovering what datasets exist. For downloading individual data files within a known collection, use the granule search instead.

## Your best first call

```bash
curl "https://cmr.earthdata.nasa.gov/search/collections.json?keyword=aerosol&page_size=5"
```

No auth for searching. No key. (Downloading data files requires a free Earthdata login.)

Results come in `feed.entry[]`, not a plain array. Key fields:

- `dataset_id` — full human-readable name (e.g. "MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid V061")
- `short_name` — compact product identifier ("MYD11A1"); "MYD" prefix means Aqua satellite, "MOD" means Terra
- `entry_id` — `short_name` plus version ("MYD11A1_061" = version 6.1)
- `id` — concept ID with entity-type prefix: `C` = collection, `G` = granule, `V` = variable; suffix after the dash is the DAAC code (e.g. `LPCLOUD`, `LAADS`)
- `cloud_hosted` — `true` means data lives on AWS S3 for direct cloud access
- `processing_level_id` — "1B" = calibrated radiances from the sensor; "3" = gridded, time-averaged geophysical product
- `time_start`, `version_id` — earliest data date and collection version

## Fallbacks (when the best call isn't enough)

- **Need full metadata for one collection** → `/concepts/{concept_id}.json` returns the complete record — organizations, platforms, orbit parameters, service capabilities. Use when the keyword search entry doesn't have enough detail.
- **Need downloadable data files** → `/granules.json?short_name={short_name}&page_size=5` finds individual granules with download links and `cloud_cover` percentage.
- **No external fallbacks** — CMR is the single catalog for NASA EOSDIS. If it's down, this capability is unavailable.

## Pitfalls

- The `.json` suffix is inconsistent across CMR endpoints: `/collections.json` and `/granules.json` require `.json` for JSON output, but `/providers` and `/tags` return JSON by default and 404 if you append `.json`. Set `Accept: application/json` as a universal alternative.
- Three endpoint types, three response shapes: search results wrap in `feed.entry[]`, concept lookups return the object directly, provider/tag listings use `items[]` with a separate `hits` count.
- `/granules.json` without a collection filter (`short_name` or `collection_concept_id`) returns a 400 error — "The CMR does not allow querying across granules in all collections." Always narrow granule searches by collection first.
- `processing_level_id` determines what the data actually measures: Level 1B (e.g. S3B_SL_1_RBT) is calibrated instrument radiances, not a derived geophysical variable. Level 3 (e.g. MYD11A1) is gridded and averaged. Confusing the two means you answer "sea surface temperature" with raw radiances.

## One-line summary for the user

I can search NASA's Earth observation data catalog for collections matching a keyword — satellite imagery, climate reanalysis, land surface temperature, aerosols — and tell you whether the data is cloud-hosted on AWS, but downloading the actual files requires a free Earthdata login.

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