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Found 66 dataset(s) matching "random forest regression model".
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This dataset contains the result of the bioclimatic-envelope modeling of the six mammal species -- (a) New Mexican Jumping Mouse (Zapus hudsonius luteus), (b) Northern Pygmy Mouse (Baiomys...
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This dataset contains the result of the bioclimatic-envelope modeling of nine bird species -- Northern/Masked Bobwhite Quail (Colinus virginianus), Scaled Quail (Callipepla squamata), Pinyon Jay...
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This dataset contains the result of the bioclimatic-envelope modeling of the three amphibian species -- the Sacramento Mountain Salamander (Aneides hardii), the Jemez Mountains Salamander...
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This dataset contains the result of the bioclimatic-envelope modeling of the three amphibian species -- the Sacramento Mountain Salamander (Aneides hardii), the Jemez Mountains Salamander...
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This dataset contains the result of the bioclimatic-envelope modeling of nine bird species -- Northern/Masked Bobwhite Quail (Colinus virginianus), Scaled Quail (Callipepla squamata), Pinyon Jay...
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This dataset contains rasters and polygon shapefiles related to predicted resource use of the Porcupine Caribou Herd (PCH) during the calving (26 May–10 June) and post-calving (11–30 June) seasons...
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Species distribution models (SDMs) can be an important tool in rare species conservation. Specifically, SDMs have been used to location previously unknown populations and identify sites for...
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This USGS Data Release represents the data used to develop multiple linear regression models for estimating the loads of total nitrogen in small streams. Recursive partitioning and random forest...
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This dataset holds deciduous fraction and tree canopy cover at 30-m resolution over the North American boreal domain for 1992 to 2015. Deciduous fraction is the areal percentage of deciduous trees...
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This dataset contains a global gridded data product of observation-based ocean interior dissolved oxygen concentrations. The data product is called GOBAI-O2 for Gridded Ocean Biogeochemistry from...
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These rasters represent landscape-scale (i.e., 3.6 x 3.6 km window) predictions of unprotected grassland loss (i.e., grass, shrub, herbaceous wetland cover) from 2019-2038 at 270 m resolution for...
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These rasters represent landscape-scale (i.e., 3.6 x 3.6 km window) predictions of unprotected grassland loss (i.e., grass, shrub, herbaceous wetland cover) from 2021-2031 at 270 m resolution for...
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This dataset provides 30-meter gridded estimates of aboveground biomass (AGB), forest canopy height, and canopy coverage for Maryland, Pennsylvania, and Delaware in 2011. Leaf-off LiDAR data were...
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This dataset provides estimates of total organic soil carbon (SOC), pyrogenic (PyC), particulate (POC), and other organic soil carbon (OOC) fractions in 473 surface layer soil samples collected...
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A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available...
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This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface...
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Exotic annual grasses [EAG] are one of the most damaging biological stressors in western North America. Despite numerous environmental and societal impacts associated with EAG there remains a need...
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We use a supervised machine learning strategy to systematically investigate the relative importance of study type, machine learning algorithm, and type of descriptor on predicting in vivo...
