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CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems 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… See the full description on the dataset page:
Source: Hugging Face Hub (ai-spatial/CarbonGlobe). Metadata imported from the dataset’s Hub tags.