L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Données et recherche · SKILL.md

rockhound

rockhound

Maintain or migrate legacy RockHound geoscience dataset downloads, caches and loaders such as PREM. Use when an existing project imports RockHound; prefer maintained Ensaio fetchers for supported new dataset workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: rockhound description: Maintain or migrate legacy RockHound geoscience dataset downloads, caches and loaders such as PREM. Use when an existing project imports RockHound; prefer maintained Ensaio fetchers for supported new dataset workflows. license: MIT metadata: version: "1.0.0" author: Geoscience Skills skill_type: domain tags: '["Legacy", "Datasets", "Migration", "PREM"]' dependencies: '["rockhound==0.2.0"]' complements: '["ensaio", "pooch", "xarray", "disba"]' workflow_role: data-loading

RockHound maintenance and migration

RockHound's repository was archived in 2022 and recommends Ensaio. Preserve a working legacy environment while assessing supported replacements; there is no universal one-to-one mapping of fetcher names or return objects.

Inspect an existing workflow

Identify the exact fetcher, data version, source URL/hash, cache location, parser and scientific conventions. Set ROCKHOUND_DATA_DIR before importing RockHound if a separate cache is needed. Never delete a user's cache to test a migration.

Legacy PREM load

This fragment uses the upstream registry and may download from EarthScope/IRIS. It loads the 1 s PREM radial Earth model, not a local field observation. The registry URL returned HTTP 404 during the 2026-09-14 check. This example currently needs an existing hash-verified cache or a separately verified source; it is not a successful fresh-download recipe. The test suite exercises the real loader with a clearly synthetic cache fixture, without claiming PREM validation.

# example: legacy-prem
import rockhound

prem = rockhound.fetch_prem()
radius_km = prem["radius"].to_numpy()
depth_km = prem["depth"].to_numpy()
density_g_cm3 = prem["density"].to_numpy()
vpv_km_s = prem["Vpv"].to_numpy()
vsv_km_s = prem["Vsv"].to_numpy()

The table contains discontinuities and distinct vertical/horizontal velocities. Preserve repeated boundary radii and choose a side explicitly for interpolation. Zero shear velocity in a fluid region is meaningful, not a missing value. Do not send the full radial model directly to a plane-layer surface-wave solver.

Migration steps

  1. Find a maintained dataset release, its redistribution license and immutable identifier. If Ensaio has no matching dataset, use a documented Pooch registry and the original provider instead of substituting unrelated sample data.
  2. Compare downloaded hashes or document changed releases; inspect units, grid registration, coordinates, missingness and source preprocessing.
  3. Adapt the return contract: an Ensaio path still needs a CSV/NetCDF reader, while RockHound may return a DataFrame or xarray object.
  4. Verify representative values and downstream results before replacing imports. Diagnose failed old URLs; do not bypass TLS or checksum checks.

See the archived project notice, PREM loader contract and Ensaio catalog.

Skills enregistrées