2026 Digital Data: Enabling Science Through Integrated Biodiversity Data - Day 3, Specimen Monitor

Hyper-Extending Specimens For Ecological Monitoring Each year, the National Ecological Observatory Network (NEON) is a long-term, continental scale project designed to monitor and forecast ecological change. The network collects over 400 terabytes of standardized ecological data alongside more than 100,000 spatially and temporally co-located samples and specimens, many of which are linked to downstream genetic, genomic, chemical, trait, and pathogen analyses. These materials are archived and made accessible through the NEON Biorepository, while associated data are published via the Symbiota-driven NEON Sample Portal following Darwin Core standards. Together, this infrastructure supports #hyper-extended specimens" connected to rich contextual data, externally hosted resources (e.g., BOLD sequences), derived media, references to scholarly publications and other outputs, related samples, and more. We outline the current state of NEON extended specimens and how we leverage new software tools to enable more integrated and reusable biodiversity data. Additionally, we highlight the use of NEON sample data as an exemplar of emerging biodiversity informatics data standards, including the Darwin Core Data Package and Humboldt Extension, which better represent standardized event-based sampling and long-term ecological monitoring. These efforts aim to improve provenance tracking, enhance discoverability, and further integrate specimen-based research across the biodiversity data ecosystem. Speaker: Kelsey Yule, Senior Data Science Specialist (NEON Biorepository, Arizona State University) Co-authors: Chandra Earl (NEON Biorepository, Arizona State University) Edward Gilbert (NEON Biorepository, Arizona State University & University of Kansas)

2026 Digital Data: Equity, Ethics, and Responsible Data Use - Day 3, Revisiting Legacy Museum Data
▶︎

2026 Digital Data: Equity, Ethics, and Responsible Data Use - Day 3, Revisiting Legacy Museum Data

2026 Digital Data: Sustaining Collections in a Digital World - Day 1, DD in the Developing World
▶︎

2026 Digital Data: Sustaining Collections in a Digital World - Day 1, DD in the Developing World

2026 Digital Data: Building Shared Biodiversity Infrastructure - Day 3, Data Systems as Ecosystems
▶︎

2026 Digital Data: Building Shared Biodiversity Infrastructure - Day 3, Data Systems as Ecosystems

2026 Digital Data: Plenary Session - Day 3, DiSSCo UK in a Global Landscape
▶︎

2026 Digital Data: Plenary Session - Day 3, DiSSCo UK in a Global Landscape

Ancient Human Species We Once Co-Existed With
▶︎

Ancient Human Species We Once Co-Existed With

The French Do Not Care About Work
▶︎

The French Do Not Care About Work

Accounting for Wetlands in Biocapacity
▶︎

Accounting for Wetlands in Biocapacity

AlphaFold - The Most Useful Thing AI Has Ever Done
▶︎

AlphaFold - The Most Useful Thing AI Has Ever Done

Catholic Mass 101: Learn Every Part of the Mass and What It Means (w/ Fr. Mike Schmitz)
▶︎

Catholic Mass 101: Learn Every Part of the Mass and What It Means (w/ Fr. Mike Schmitz)

Vitamin D Expert: The Fastest Way To Dementia & The Big Lie About Sunlight!
▶︎

Vitamin D Expert: The Fastest Way To Dementia & The Big Lie About Sunlight!

Inside Africa's Food Forest Mega-Project
▶︎

Inside Africa's Food Forest Mega-Project

The Physics of Euler's Formula | Laplace Transform Prelude
▶︎

The Physics of Euler's Formula | Laplace Transform Prelude

How Algae Could Replace Oil, Plastic, and Help Medicine | SLICE EARTH | FULL DOC
▶︎

How Algae Could Replace Oil, Plastic, and Help Medicine | SLICE EARTH | FULL DOC

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
▶︎

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang
▶︎

What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang

Stephen Meyer, John Lennox, and James Tour: Three Scientists on the Origins of Everything
▶︎

Stephen Meyer, John Lennox, and James Tour: Three Scientists on the Origins of Everything

Why AI Tokens are so Expensive - Computerphile
▶︎

Why AI Tokens are so Expensive - Computerphile

2026 Digital Data: Enabling Science Through Integrated Biodiversity Data - Day 3, Digital Resources
▶︎

2026 Digital Data: Enabling Science Through Integrated Biodiversity Data - Day 3, Digital Resources

How AI Cracked the Protein Folding Code and Won a Nobel Prize
▶︎

How AI Cracked the Protein Folding Code and Won a Nobel Prize

8. The Sumerians - Fall of the First Cities
▶︎

8. The Sumerians - Fall of the First Cities