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Found 49 dataset(s) matching "XGboost".
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Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow...
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We provide a roads dataset that includes the spatial location of roads, the estimated age of each road, and the predicted traffic volume of each road between 1986 and 2020 in Wyoming, USA. Our...
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This child item dataset includes inputs to and outputs from an extreme gradient boosting model (XGBoost) to predict daily chlorophyll concentrations. Included in this dataset are the necessary...
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Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow...
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Residence time distribution (RTD) is a critically important characteristic of groundwater flow systems; however, it cannot be measured directly. RTD can be inferred from tracer data with...
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Reports of negative interactions between humans and bears in Maryland have increased steadily since the 1990s, requiring substantial investments of time and resources for their management. While...
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Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow...
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This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4C (L4C) Version 2 predictions of the Waveform Structural Complexity Index (WSCI) and estimates of prediction intervals...
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The data contained herein are five input features (i.e., heat flow, distance to the nearest quaternary fault, distance to the nearest quaternary magma body, seismic event density, maximum...
