Scitex Dataset

Unified dataset-discovery API across 7 scientific repositories — OpenNeuro + DANDI + PhysioNet (neuroscience, BIDS + NWB), Zenodo + Scientific Data (general), GEO (gene expression), ChEMBL (pharmacology), ClinicalTrials.gov (medical). Public API — `fetch_all_datasets()` / `fetch_datasets()` / `format_dataset()` (OpenNeuro convenience) + `search_datasets()` / `sort_datasets()` (cross-source ranking) + domain submodules `neuroscience`, `general`, `biology`, `pharmacology`, `medical` + `database` (build & query a local unified SQLite index). 11 MCP tools — `dataset_search` (cross-source filter/sort), per-source fetchers `dataset_openneuro_fetch` / `dataset_dandi_fetch` / `dataset_physionet_fetch` / `dataset_geo_fetch` / `dataset_chembl_fetch` / `dataset_clinicaltrials_fetch`, local-db `dataset_db_build` / `dataset_db_search` / `dataset_db_stats`, and `dataset_list_sources`. (Zenodo / Scientific Data are reachable via Python API + CLI; no standalone MCP fetch tool yet.) Drop-in replacement for `openneuro-python`, `dandi` CLI, raw `requests` against the OpenNeuro GraphQL API / PhysioNet / GEO / ChEMBL / ClinicalTrials REST endpoints, `pyzenodo3`, and hand-rolled dataset-scrapers. Use whenever the user asks to "find an EEG dataset", "list BIDS datasets on topic X", "search DANDI for Neuropixels", "get GEO series for Alzheimer's", "find a ChEMBL target / bioassay", "search ClinicalTrials.gov", "index all datasets locally", "cross-search multiple dataset repositories", "sort datasets by subject count / modality", or mentions OpenNeuro, DANDI, PhysioNet, BIDS, NWB, GEO, ChEMBL, ClinicalTrials, Zenodo, Scientific Data.

mkdir -p ~/.claude/skills/scitex-dataset
curl -L https://claudskills.com/skills/scitex-dataset/SKILL.md \
  -o ~/.claude/skills/scitex-dataset/SKILL.md

@misc{scitex-dataset-2026,
  author    = {ClaudSkills},
  title     = {Scitex Dataset [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/scitex-dataset/}
}