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GeoCryoAI Permafrost, Thaw Depth and Carbon Flux in Alaska, 1969-2022

Preprint This dataset is released as a preprint. The data are provisional. Read more About Preprint Datasets.

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2371
Version1
Project
Published0000-00-00
Usage3 downloads
User Guide

Description

This dataset provides model code, input data, sample results, and documentation for an artificial intelligence-driven model, GeoCryoAI. The purpose of GeoCryoAI is to quantify permafrost thaw dynamics and greenhouse gas emissions in Alaska.

Data Use and Citation

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Crosscite Citation Formatter
Gay, B.A., N.J. Pastick, J.D. Watts, A.H. Armstrong, K. Miner, and C.E. Miller. 2025. GeoCryoAI Permafrost, Thaw Depth and Carbon Flux in Alaska, 1969-2022. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2371

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Dataset has 2 companion files.

  • GeoCryoAI_PermafrostThaw_CFlux.pdf
  • geocryoai_documentation.txt