Description: This data layer depicts the classified mean habitat suitability for Staurocalyptus from habitat suitability models predicting the spatial distribution of Staurocalyptus offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Acanthascus Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Staurocalyptus from a habitat suitability models predicting the spatial distribution of Staurocalyptus offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Acanthascus dawsoni Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Rhabdocalyptus dawsoni from habitat suitability models predicting the spatial distribution of Rhabdocalyptus dawsoni offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Acanthascus dawsoni Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Rhabdocalyptus dawsoni from a habitat suitability models predicting the spatial distribution of Rhabdocalyptus dawsoni offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Acanthogorgia from habitat suitability models predicting the spatial distribution of Acanthogorgia offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Acanthogorgia Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Acanthogorgia from a habitat suitability models predicting the spatial distribution of Acanthogorgia offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Acanthoptilum gracile Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Acanthoptilum gracile from habitat suitability models predicting the spatial distribution of Acanthoptilum gracile offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Acanthoptilum gracile Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Acanthoptilum gracile from a habitat suitability models predicting the spatial distribution of Acanthoptilum gracile offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Adelogorgia phyllosclera Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Adelogorgia phyllosclera from habitat suitability models predicting the spatial distribution of Adelogorgia phyllosclera offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Adelogorgia phyllosclera Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Adelogorgia phyllosclera from a habitat suitability models predicting the spatial distribution of Adelogorgia phyllosclera offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Anthoptilum grandiflorum Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Anthoptilum grandiflorum from habitat suitability models predicting the spatial distribution of Anthoptilum grandiflorum offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Anthoptilum grandiflorum Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Anthoptilum grandiflorum from a habitat suitability models predicting the spatial distribution of Anthoptilum grandiflorum offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Antipathes dendrochristos Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Antipathes dendrochristos from habitat suitability models predicting the spatial distribution of Antipathes dendrochristos offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Antipathes dendrochristos Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Antipathes dendrochristos from a habitat suitability models predicting the spatial distribution of Antipathes dendrochristos offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Aphrocallistes vastus Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Aphrocallistes vastus from habitat suitability models predicting the spatial distribution of Aphrocallistes vastus offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Aphrocallistes vastus Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Aphrocallistes vastus from a habitat suitability models predicting the spatial distribution of Aphrocallistes vastus offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Asbestopluma from habitat suitability models predicting the spatial distribution of Asbestopluma offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Asbestopluma Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Asbestopluma from a habitat suitability models predicting the spatial distribution of Asbestopluma offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Balticina californica Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Halipteris californica from habitat suitability models predicting the spatial distribution of Halipteris californica offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Balticina californica Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Halipteris californica from a habitat suitability models predicting the spatial distribution of Halipteris californica offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Bathypathes from habitat suitability models predicting the spatial distribution of Bathypathes offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Bathypathes Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Bathypathes from a habitat suitability models predicting the spatial distribution of Bathypathes offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Callistephanus kofoidi Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Swiftia kofoidi from habitat suitability models predicting the spatial distribution of Swiftia kofoidi offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Callistephanus kofoidi Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Swiftia kofoidi from a habitat suitability models predicting the spatial distribution of Swiftia kofoidi offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Callistephanus pacifica Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Swiftia pacifica from habitat suitability models predicting the spatial distribution of Swiftia pacifica offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Callistephanus pacifica Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Swiftia pacifica from a habitat suitability models predicting the spatial distribution of Swiftia pacifica offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Callistephanus simplex Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Swiftia simplex from habitat suitability models predicting the spatial distribution of Swiftia simplex offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Callistephanus simplex Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Swiftia simplex from a habitat suitability models predicting the spatial distribution of Swiftia simplex offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Chromoplexaura marki Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Chromoplexaura marki from habitat suitability models predicting the spatial distribution of Chromoplexaura marki offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Chromoplexaura marki Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Chromoplexaura marki from a habitat suitability models predicting the spatial distribution of Chromoplexaura marki offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Chrysopathes speciosa Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Chrysopathes speciosa from habitat suitability models predicting the spatial distribution of Chrysopathes speciosa offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Chrysopathes speciosa Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Chrysopathes speciosa from a habitat suitability models predicting the spatial distribution of Chrysopathes speciosa offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Clavularia from habitat suitability models predicting the spatial distribution of Clavularia offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Clavularia Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Clavularia from a habitat suitability models predicting the spatial distribution of Clavularia offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Coenocyathus bowersi Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Coenocyathus bowersi from habitat suitability models predicting the spatial distribution of Coenocyathus bowersi offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Coenocyathus bowersi Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Coenocyathus bowersi from a habitat suitability models predicting the spatial distribution of Coenocyathus bowersi offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Craniella arb from habitat suitability models predicting the spatial distribution of Craniella arb offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Craniella arb Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Craniella arb from a habitat suitability models predicting the spatial distribution of Craniella arb offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Demospongiae from habitat suitability models predicting the spatial distribution of Demospongiae offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Demospongiae Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Demospongiae from a habitat suitability models predicting the spatial distribution of Demospongiae offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Desmophyllum dianthus Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Desmophyllum dianthus from habitat suitability models predicting the spatial distribution of Desmophyllum dianthus offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Desmophyllum dianthus Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Desmophyllum dianthus from a habitat suitability models predicting the spatial distribution of Desmophyllum dianthus offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Desmophyllium pertusum Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Lophelia pertusa from habitat suitability models predicting the spatial distribution of Lophelia pertusa offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Desmophyllium pertusum Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Lophelia pertusa from a habitat suitability models predicting the spatial distribution of Lophelia pertusa offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Eugorgia rubens from habitat suitability models predicting the spatial distribution of Eugorgia rubens offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Eugorgia rubens Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Eugorgia rubens from a habitat suitability models predicting the spatial distribution of Eugorgia rubens offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Farrea occa from habitat suitability models predicting the spatial distribution of Farrea occa offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Farrea occa Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Farrea occa from a habitat suitability models predicting the spatial distribution of Farrea occa offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Funiculina from habitat suitability models predicting the spatial distribution of Funiculina offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Funiculina Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Funiculina from a habitat suitability models predicting the spatial distribution of Funiculina offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Haliclona from habitat suitability models predicting the spatial distribution of Haliclona offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Haliclona Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Haliclona from a habitat suitability models predicting the spatial distribution of Haliclona offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Heterochone calyx Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Heterochone calyx from habitat suitability models predicting the spatial distribution of Heterochone calyx offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Heterochone calyx Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Heterochone calyx from a habitat suitability models predicting the spatial distribution of Heterochone calyx offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Heteropolypus ritteri Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Heteropolypus ritteri from habitat suitability models predicting the spatial distribution of Heteropolypus ritteri offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Heteropolypus ritteri Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Heteropolypus ritteri from a habitat suitability models predicting the spatial distribution of Heteropolypus ritteri offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Hexactinellida from habitat suitability models predicting the spatial distribution of Hexactinellida offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Hexactinellida Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Hexactinellida from a habitat suitability models predicting the spatial distribution of Hexactinellida offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Hyalonema from habitat suitability models predicting the spatial distribution of Hyalonema offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Hyalonema Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Hyalonema from a habitat suitability models predicting the spatial distribution of Hyalonema offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Isidella tentaculum Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Isidella tentaculum from habitat suitability models predicting the spatial distribution of Isidella tentaculum offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Isidella tentaculum Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Isidella tentaculum from a habitat suitability models predicting the spatial distribution of Isidella tentaculum offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Leptogorgia chilensis Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Leptogorgia chilensis from habitat suitability models predicting the spatial distribution of Leptogorgia chilensis offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Leptogorgia chilensis Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Leptogorgia chilensis from a habitat suitability models predicting the spatial distribution of Leptogorgia chilensis offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Mycale from habitat suitability models predicting the spatial distribution of Mycale offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Mycale from a habitat suitability models predicting the spatial distribution of Mycale offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Paracyathus from habitat suitability models predicting the spatial distribution of Paracyathus offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Paracyathus Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Paracyathus from a habitat suitability models predicting the spatial distribution of Paracyathus offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Paragorgia from habitat suitability models predicting the spatial distribution of Paragorgia offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Paragorgia Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Paragorgia from a habitat suitability models predicting the spatial distribution of Paragorgia offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Parastenella ramosa Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Parastenella ramosa from habitat suitability models predicting the spatial distribution of Parastenella ramosa offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Parastenella ramosa Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Parastenella ramosa from a habitat suitability models predicting the spatial distribution of Parastenella ramosa offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Pennatula phosphorea Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Pennatula phosphorea from habitat suitability models predicting the spatial distribution of Pennatula phosphorea offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Pennatula phosphorea Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Pennatula phosphorea from a habitat suitability models predicting the spatial distribution of Pennatula phosphorea offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Plumarella longispina Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Plumarella longispina from habitat suitability models predicting the spatial distribution of Plumarella longispina offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Plumarella longispina Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Plumarella longispina from a habitat suitability models predicting the spatial distribution of Plumarella longispina offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Polymastia from habitat suitability models predicting the spatial distribution of Polymastia offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Polymastia Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Polymastia from a habitat suitability models predicting the spatial distribution of Polymastia offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Ptilosarcus gurneyi Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Ptilosarcus gurneyi from habitat suitability models predicting the spatial distribution of Ptilosarcus gurneyi offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Ptilosarcus gurneyi Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Ptilosarcus gurneyi from a habitat suitability models predicting the spatial distribution of Ptilosarcus gurneyi offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Rhizaxinella gadus Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Rhizaxinella gadus from habitat suitability models predicting the spatial distribution of Rhizaxinella gadus offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Rhizaxinella gadus Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Rhizaxinella gadus from a habitat suitability models predicting the spatial distribution of Rhizaxinella gadus offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Stylaster californicus Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Stylaster californicus from habitat suitability models predicting the spatial distribution of Stylaster californicus offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Stylaster californicus Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Stylaster californicus from a habitat suitability models predicting the spatial distribution of Stylaster californicus offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Stylatula from habitat suitability models predicting the spatial distribution of Stylatula offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Stylatula Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Stylatula from a habitat suitability models predicting the spatial distribution of Stylatula offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Thenea from habitat suitability models predicting the spatial distribution of Thenea offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Thenea from a habitat suitability models predicting the spatial distribution of Thenea offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Umbellula lindahli Classified Mean Prediction
Display Field: Class
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the classified mean habitat suitability for Umbellula lindahli from habitat suitability models predicting the spatial distribution of Umbellula lindahli offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Umbellula lindahli Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Umbellula lindahli from a habitat suitability models predicting the spatial distribution of Umbellula lindahli offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the classified mean habitat suitability for Virgularia from habitat suitability models predicting the spatial distribution of Virgularia offshore of the continental U.S. West Coast to 1200 m depth. The mean predicted habitat suitability from 100 models fit to bootstrap samples of the occurrence data was classified into a map with four habitat suitability classes ('very low', 'low', 'medium', 'high') using a series of breakpoints identified through receiver operating characteristic (ROC) curve analysis. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Virgularia Robust High Suitability Prediction
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts areas predicted to have 'robust high' habitat suitability for Virgularia from a habitat suitability models predicting the spatial distribution of Virgularia offshore of the continental U.S. West Coast to 1200 m depth. A grid cell having 'robust high' habitat suitability was predicted to have high habitat suitability by all 100 models fit to bootstrap samples of the occurrence data. See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)