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Found 537 dataset(s) matching "evaluation metrics".
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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<p dir="ltr">The blue orchard bee (<i>Osmia lignaria </i>Say, Hymenoptera: Megachilidae) is a native solitary bee in North America. This pollinator species is crucial for orchard pollination,...
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The U.S. Geological Survey, in cooperation with the Virginia Department of Environmental Quality, has quantified several measures of rating stability and the frequency and magnitude of changes to...
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Service Reliability metrics evaluate MNR’s ability to deliver timely and effective service to its customers. Included in these metrics are: Service Type, Major Incidents, 4m to 6m Train Delays,...
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Service Reliability metrics evaluate the LIRR’s ability to deliver timely and effective service to its customers. Included in these metrics are: Major Incidents, 4m to 6m Train Delays, Average...
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SDNist (v1.3) is a set of benchmark data and metrics for the evaluation of synthetic data generators on structured tabular data. This version (1.3) reproduces the challenge environment from...
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<p>Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are predicted...
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SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts,...
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This data release provides spatial data for species distribution models developed for 24 stream fishes native to the Pacific Northwest, USA and associated model evaluation metrics used to...
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<p>This model archive (<a href="https://www.sciencebase.gov/catalog/item/66787f3ed34efbe36238c80a">Fan et al. 2025a</a>) provides all data, code, and model outputs used in the...
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<p>This model archive component contains shapefiles of (1) coarse (NHGFv1.1 / NHM) stream network polylines for the Delaware River Basin and (2) fine (NHDPlusV2.1) stream network polylines...
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<p>This model archive component contains model inputs used in the methods experiments of Fan et al. (2025b).</p> <p>The parent model archive (<a...
