Science Video Database · Gary Welz · CUNY Graduate Center

Curated science videos, searchable by topic

A growing collection of science videos relevant to regulatory biology, computational genomics, and mathematical reasoning.

📚 Role & Status

Overview

The Science Video Database is a curated catalog of scientific video content: 582 videos across 11 YouTube channels, searchable by title, description, and channel name, and filterable by discipline, year, and caption availability. It is not yet linked to the CopernicusAI Knowledge Engine's papers, podcasts, or process charts at the data layer.

🔬 What This Is

  • • Curated Video Collection: 582 videos from 11 YouTube channels, verified against each channel's real content (audited 2026-07-30)
  • • Keyword Search: matches against title, description, and channel name — not full-text transcript search
  • • Multi-Disciplinary Coverage: Biology, chemistry, computer science, mathematics, physics
  • • Not yet built: cross-linking to CopernicusAI research papers or GLMP/ATAP processes (the schema has fields reserved for this; they're currently empty)

⚙️ Technical Status

  • • Static Catalog: a JSON file on Google Cloud Storage, rendered by a client-side-filtered HTML table — no backend server or database
  • • Caption-Availability Flag: ~72% of videos are flagged as having captions at ingestion time; this is a stored flag, not independently re-verified, and the transcript text itself isn't stored or searchable
  • • Not yet built: semantic/vector search, full-text transcript search
  • • Separate, dormant project: a GitHub monorepo (garywelz/sciencevideodb) has a real, tested YouTube API client and GCP scaffolding, last active December 2025 — not connected to what's live here

🎯 Position Within CopernicusAI Knowledge Engine

The Science Video Database is a standalone catalog today. Its potential role in the CopernicusAI Knowledge Engine:

  • • Video content discovery, independent of other Knowledge Engine surfaces for now
  • • Keyword search across title/description/channel
  • • Research paper linking — planned, not built (schema field exists, unpopulated)
  • • AI podcast enhancement — planned, not built

This is a working catalog for curating and searching scientific YouTube content. Cross-linking it into the rest of the CopernicusAI Knowledge Engine is a future step, not a current capability.

🎬 Live Demo

Browse the curated video catalog: keyword search plus category, discipline, year, and caption-availability filters.

🔬 Open Science Video Database

🚀 Project Milestones

Prototype (Current)

  • • 11 channels, 582 videos (audited 2026-07-30)
  • • Static JSON catalog on GCS
  • • Caption-availability flag (~72%), not full-text transcript search
  • • Client-side keyword search UI with filters

Alpha (Planned, Unscheduled)

  • • More channels, larger catalog
  • • Full-text transcript search
  • • Cross-linking to CopernicusAI papers/processes
  • • Improved UX polish

Scaling (Future, Unscheduled)

  • • Semantic/vector search
  • • Automated ingestion pipeline
  • • Admin dashboard
  • • Automated QA / re-verification

🔧 Technical Architecture

What's actually live today is deliberately simple. A separate, dormant monorepo (github.com/garywelz/sciencevideodb, last active December 2025) contains a real, tested YouTube ingestion client and cloud-utility scaffolding, but its database, search engine, and frontend layers were never built or connected to anything live.

Live Today

  • • Static HTML page (this HF Space)
  • • JSON catalog on Google Cloud Storage
  • • Client-side JavaScript search/filter
  • • No backend server, no database

Built But Disconnected (separate repo, dormant since Dec 2025)

  • • YouTube API client (tested, 10/10 passing)
  • • GCP Secrets Manager / Storage / Vertex AI wiring
  • • Next.js scaffold, no working pages
  • • Planned, never built: PostgreSQL, vector DB, search engine, Vercel deployment

🔗 Related Projects

🔬 CopernicusAI

Main knowledge engine that can integrate video content with AI podcasts and research synthesis.

Visit CopernicusAI →

📚 Research Paper Metadata Database

Potential integration for linking videos to research papers and metadata.

Visit Metadata Database →

🧬 GLMP

Biological process visualization that could link to related educational videos.

Explore GLMP →

🛠️ Programming Framework

Process analysis tool that could utilize video content for process explanations.

Explore Framework →

How to Cite This Work

Welz, G. (2024–2025). Science Video Database.
Hugging Face Spaces. https://huggingface.co/spaces/garywelz/sciencevideodb

This project is a curated, channel-verified catalog of scientific YouTube video content, searchable by keyword.

Cross-linking it into the wider CopernicusAI Knowledge Engine is a planned future step, not a current capability.