SciTeX Dataset

About

SciTeX Dataset offers a unified Python API and command-line interface for discovering and retrieving metadata from a variety of neuroscience data repositories, including OpenNeuro, DANDI, PhysioNet, and Zenodo. Designed to support AI-powered research, it features an MCP (Model Context Protocol) server that empowers AI agents to seamlessly search and query scientific datasets. The tool prioritizes fast metadata queries, allowing researchers to explore data without the need to download entire datasets, and integrates smoothly within the larger SciTeX ecosystem for reproducible research workflows.

Key Features

• 0 GitHub stars
• Unified API for OpenNeuro, DANDI, PhysioNet, and Zenodo datasets
• AI-Ready MCP server for LLM integration and dataset discovery
• Focus on fast metadata queries without downloading full datasets
• Python API and CLI for flexible data access and management
• Seamless integration with the SciTeX ecosystem for reproducible research

Use Cases

• Programmatically discover and retrieve metadata for neuroscience datasets across multiple repositories.
• Empower AI agents to search, query, and utilize scientific datasets for research tasks.
• Streamline data access and management for reproducible neuroscience research workflows.