# scitex-dataset

> Use this tool when you need to access a wide range of scientific datasets across multiple domains, including neuroscience, biology, pharmacology, and medical fields. It solves problems of data discovery and retrieval, providing a unified interface to fetch and utilize relevant datasets. The tool accepts domain-specific queries as input and outputs corresponding datasets, ideal for research and analysis in scientific and medical contexts.

Canonical page: https://skillsregistry.net/skills/ywatanabe1989-scitex-dataset  
JSON: https://api.skillsregistry.net/v1/skills/ywatanabe1989-scitex-dataset

## Description

Multi-domain scientific dataset fetcher — neuroscience, biology, pharmacology, medical. Part of SciTeX.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [GitHub](https://github.com/ywatanabe1989/scitex-dataset)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ywatanabe1989-scitex-dataset"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ywatanabe1989-scitex-dataset` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ywatanabe1989-scitex-dataset/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt