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gabrielvuksani
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imaging-data-commons

Query DICOM metadata via idc-index to discover and download public cancer imaging cohorts.

Updated Aug 23, 2026
Search Tags:#license compliance#imaging data#radiology#digital pathology#dicom download#metadata query#cohort reproducibility
One-click install
npx skills add https://github.com/gabrielvuksani/wotann --skill imaging-data-commons-gabrielvuksani
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imaging-data-commons
Source: https://github.com/gabrielvuksani/wotann/tree/main/skills/scientific/imaging-data-commons
Command: npx skills add https://github.com/gabrielvuksani/wotann --skill imaging-data-commons-gabrielvuksani

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes the friction of finding the right public cancer imaging cohorts and turning them into usable downloaded datasets with correct licensing and reproducible versioning.

Core Features & Use Cases

  • Public imaging cohort discovery (metadata-first): Query large-scale IDC radiology and pathology collections by metadata using idc-index.
  • Efficient downloads + reproducible identifiers: Download DICOM series or entire collections and track the exact IDC release/version using built-in identifiers (including idc-index version and IDC data version).
  • Browser visualization without extra tooling: Generate viewer URLs to inspect series in the browser before committing to large downloads.
  • License-aware workflows: Surface license metadata so you can filter cohorts appropriately for research or commercial use.

Quick Start

Use the imaging-data-commons skill to query IDC for a small sample by modality and body part, then download the selected DICOM series to a local folder while validating the required idc-index and IDC data versions.

Frequently Asked Questions about imaging-data-commons

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I download public cancer imaging DICOM data from NCI Imaging Data Commons?▼

Download public cancer imaging DICOM data by querying IDC metadata with the idc-index Python package, filtering by modality or body part, then using idc-index APIs to select and download series or collections without authentication.

Can I query IDC metadata to filter radiology and digital pathology cohorts?▼

Query IDC metadata to filter radiology and digital pathology cohorts using idc-index SQL APIs, allowing you to discover collections by specific imaging attributes before downloading.

What is the best way to ensure license compliance when downloading cancer imaging cohorts?▼

Ensure license compliance by using idc-index to surface license metadata for IDC collections, allowing you to filter cancer imaging cohorts appropriately for research or commercial use before downloading.

How do I preview DICOM series in a browser before committing to a large download?▼

Preview DICOM series by generating viewer URLs with idc-index APIs, enabling browser visualization of IDC imaging data without extra tooling before downloading large datasets.

Do I need authentication to access NCI Imaging Data Commons data with idc-index?▼

No authentication is required to access IDC data; the idc-index package enables SQL querying, DICOM download selection, and viewer URL generation for public cancer imaging cohorts directly.

How does idc-index handle cohort reproducibility across IDC data releases?▼

Cohort reproducibility is maintained by tracking the exact IDC data release and idc-index version using built-in identifiers during DICOM metadata queries and downloads.

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