Datasets:
Modalities:
Geospatial
Languages:
English
Size:
10K<n<100K
Tags:
carbon-cycle
forest-ecosystems
ecosystem-modeling
earth-system-science
climate-change
remote-sensing
License:
Update README.md
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README.md
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**CarbonGlobe** is a global-scale, multi-decade, machine-learning-ready dataset and benchmark for forecasting carbon dynamics in forest ecosystems. The dataset provides harmonized environmental drivers and carbon-related ecosystem outputs simulated by the **Ecosystem Demography model version 3 (ED v3)**, enabling the development, evaluation, and comparison of deep learning models for global forest carbon forecasting.
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## Dataset Description
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**CarbonGlobe** is a global-scale, multi-decade, machine-learning-ready dataset and benchmark for forecasting carbon dynamics in forest ecosystems. The dataset provides harmonized environmental drivers and carbon-related ecosystem outputs simulated by the **Ecosystem Demography model version 3 (ED v3)**, enabling the development, evaluation, and comparison of deep learning models for global forest carbon forecasting.
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CarbonGlobe was accepted to the **NeurIPS 2025 Datasets & Benchmarks Track**.
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Project page: https://neurips.cc/virtual/2025/loc/san-diego/poster/121701
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## Dataset Description
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