Description: These data layers contain geospatial data that provide spatial context for the study area offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS); Bureau of Ocean Energy Management (BOEM); NOAA Office of National Marine Sanctuaries (ONMS); NOAA National Marine Fisheries Service (NMFS); Pacific Fishery Management Council (PFMC); Sound GIS; West Coast Ocean Data Portal
Description: This data layer depicts the 200 m depth contour approximating the edge of the continental shelf offshore of the continental U.S. West Coast. It was derived from a synthesis of bathymetry 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 set represents the most recent changes for the Wind Development Planning Areas in the Atlantic. Wind Planning Areas in this dataset represent up to six different types of announcements within the US Federal Register (FR) that can be used to show the current status of an area that is being considered for wind power development. Additionally, unsolicited proposed lease areas that have not yet began the leasing process are also included. Individual projects are listed by state below. Previous Wind Planning Areas that are now designated as leases can be found in the BOEM Lease Areas feature class.New YorkOn December 30, 2016, PNE Wind USA, Inc. submitted an unsolicited lease request for 40,920 acres offshore New York. If BOEM decides to move forward with this application, the next step will be to issue a public notice to determine whether there is competitive interest in bidding for the area. In April 2018 DOI issued a Call for Information and Nominations for Commercial Leasing for Wind Power on the Outer Continental Shelf in the New York Bight. The Call Areas are located on the OCS in the New York Bight and are delineated as Fairways North, Fairways South, Hudson North, and Hudson South. The four Call Areas include 222 whole OCS blocks and 172 partial blocks and consist of approximately 1,735,154 acres.Federal Register Notices:4/2018 - Call for Information and NominationsNorth CarolinaOn Aug. 11, 2014, BOEM announced that it has identified three Wind Energy Areas (WEAs) offshore North Carolina:The Kitty Hawk WEA begins about 24 nautical miles (nm) from shore and extends approximately 25.7 nm in a general southeast direction. Its seaward extent ranges from 13.5 nm in the north to .6 nm in the south. It contains approximately 21.5 Outer Continental Shelf (OCS) blocks (122,405 acres). The Wilmington West WEA begins about 10 nm from shore and extends approximately 12.3 nm in an east-west direction at its widest point. It contains just over 9 OCS blocks (approximately 51,595 acres). The Wilmington East WEA begins about 15 nm from Bald Head Island at its closest point and extends approximately 18 nm in the southeast direction at its widest point. It contains approximately 25 OCS blocks (133,590 acres). Federal Register Notices:12/13/2012 – Call for Information12/13/2012 - Notice of Intent to Prepare an Environmental Assessment02/05/2013 – Call for Information (reopening of comment period)08/07/2014 - Area ID09/18/2015 - Environmental Assessment(EA)08/16/2016 - Proposed Sale Notice (PSN) / Request for Interest (RFI)For more information: North Carolina State Activities Home PageSouth CarolinaOn November 23, 2015, BOEM announced it would publish a Call for Information and Nominations (Call) to gauge the offshore wind industry’s interest in acquiring commercial wind leases offshore South Carolina. In addition to the Call, BOEM also announced it would publish in the Federal Register a Notice of Intent (NOI) to Prepare an Environmental Assessment (EA).11/23/2015 - Call for InformationCaliforniaIn January 2016, BOEM received an unsolicited request for a commercial lease from Trident Winds LLC. (Trident Winds). BOEM reviewed the unsolicited lease application and determined in March 2016 that Trident Winds was legally, technically and financially qualified to hold a commercial lease on the Outer Continental Shelf.A Call for Information and Nominations (Call) on October 19, 2018 to obtain nominations from companies interested in commercial wind energy leases within the proposed areas off central and northern California.1/14/2016 - Trident Winds, LLC lease request8/16/2016 - Request for Interest(RFI)10/19/2018 - Call for Information and NominationsFor more information: http://www.boem.gov/California/HawaiiBOEM has received a total of three unsolicited wind energy lease requests from two potential developers: two lease requests from AW Hawaii Wind, LLC (AWH), the AWH Oahu Northwest Project and the AWH Oahu South Project; and one from Progression Hawaii Offshore Wind, Inc. (Progression), the Progression South Coast of Oahu Project. Each project proposes an offshore floating wind energy facility with a capacity of approximately 400 megawatts (MW) of renewable energy. The energy generated by the projects would be transmitted to Oahu by undersea cables.AWH Oahu Northwest ProjectAWH Oahu South ProjectProgression South Coast of Oahu ProjectOahu Call Area - In consultation with the Hawaii Intergovernmental Renewable Energy Task Force, BOEM issued a Call for Information and Nominations (Call) to gauge the offshore wind industry's interest in acquiring commercial wind leases in two areas spanning approximately 485,000 acres of submerged lands in federal waters offshore Oahu. 6/24/2016 - Call for Information and NominationsFor more information: Hawaii State Activities Home Page
Copyright Text: Public information, no credit necessary.
Compiler of metadata is Josh Wadlington - Bureau of Ocean Energy Management. Additional collaborators are Christine Taylor and Frank Pendleton - Bureau of Ocean Energy Management.
Copyright Text: Public information, no credit necessary.
Compiler is Josh Wadlington - Bureau of Ocean Energy Management.
Additional collaborators are Christine Taylor and Frank Pendleton - Bureau of Ocean Energy Management.
Name: Pacific Fishery Management Council Groundfish EFH Areas
Display Field:
Type: Group Layer
Geometry Type: null
Description: These data layers depict the boundaries of conservation areas designated by the Pacific Fishery Management Council.
Copyright Text: National Marine Fisheries Service (NMFS); Pacific Fishery Management Council (PFMC); Sound GIS; Bureau of Ocean Energy Management (BOEM); West Coast Ocean Data Portal
Description: These data depict essential fish habitat (EFH) conservation areas off Washington, Oregon, and California. These data represent all of the EFHCAs post-Amendment 28 and includes EFHCAs that are unchanged by this action. The coordinate locations are from NMFS' Final Rule to implement Amendment 28 to the Pacific Coast Groundfish Fishery Management Plan and are consistent with revised FMP Appendix C2. In order to minimize to the extent practicable adverse effects from fishing, the final rule prohibits fishing with various gear types within these areas. Consult the text of the final rule for specific details about each area and the management measures. The regulatory prohibitions are listed in Section 660.12, 660.112. 660.212 and 660.312 and the coordinates are listed in Sections 660.76 through 660.79 of the final rule.
Copyright Text: National Marine Fisheries Service (NMFS), Pacific Fishery Management Council (PFMC), Sound GIS, Bureau of Ocean Energy Management (BOEM), West Coast Ocean Data Portal
Description: These data depict a coastwide essential fish habitat (EFH) conservation area off Washington, Oregon, and California. The coordinate locations are from NMFS' Final Rule to implement Amendment 28 to the Pacific Coast Groundfish Fishery Management Plan and consistent with revised FMP Appendix C2. In order to minimize to the extent practicable adverse effects from fishing, the final rule prohibits fishing with bottom trawl gear within this area. Consult the final rule for specific details about each area and the management measures. The prohibitions are listed in Section 660.112 and the official coordinates are listed in Sections 660.76 of the final rule.
Copyright Text: National Marine Fisheries Service (NMFS), Pacific Fishery Management Council (PFMC), Sound GIS, Bureau of Ocean Energy Management (BOEM), West Coast Ocean Data Portal
Description: These data delineate areas of the exclusive economic zone (EEZ) deeper than 3,500 m water depth that were not designated as Pacific Coast groundfish essential fish habitat (EFH). Although outside of EFH, the Pacific Fishery Management Council (PFMC) felt these areas included sensitive deep-water habitats, including deep-sea corals, that warranted protection. The Council recommended that this area be closed to fishing with bottom contacting gears using discretionary authority under the Magnuson-Stevens Act. Bottom contacting gears is a defined term at 50 CFR 660.12.
Copyright Text: National Marine Fisheries Service (NMFS), Pacific Fishery Management Council (PFMC), Sound GIS, Bureau of Ocean Energy Management (BOEM), West Coast Ocean Data Portal
Description: These data layers depict geospatial data from models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. The data layers include records of deep-sea coral and sponge occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from habitat suitability models predicting the spatial distributions of 31 taxa of deep-sea corals and 15 taxa of sponges. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of stony coral occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 4 taxa of stony corals and outputs from habitat suitability models predicting the spatial distributions of these taxa of stony corals offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Coenocyathus bowersi occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Coenocyathus bowersi offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Coenocyathus bowersi occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Coenocyathus bowersi Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Coenocyathus bowersi Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Desmophyllum dianthus occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Desmophyllum dianthus offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Desmophyllum dianthus occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Desmophyllum dianthus Robust High Habitat Suitability Prediction
Display Field:
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: Desmophyllum dianthus Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Lophelia pertusa occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Lophelia pertusa offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Lophelia pertusa occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Lophelia pertusa Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Lophelia pertusa Classified Mean Habitat Suitability Prediction
Display Field:
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: Lophelia pertusa Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Paracyathus occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Paracyathus offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Paracyathus occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Paracyathus Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Paracyathus Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of black coral occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 3 taxa of black corals and outputs from habitat suitability models predicting the spatial distributions of these taxa of black corals offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Antipathes dendrochristos occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Antipathes dendrochristos offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Antipathes dendrochristos occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Antipathes dendrochristos Robust High Habitat Suitability Prediction
Display Field:
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: Antipathes dendrochristos Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Bathypathes occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Bathypathes offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Bathypathes occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Bathypathes Robust High Habitat Suitability Prediction
Display Field:
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: Bathypathes Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Chrysopathes speciosa occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Chrysopathes speciosa offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Chrysopathes speciosa occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Chrysopathes speciosa Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Chrysopathes speciosa Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of gorgonian coral occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 12 taxa of gorgonian corals and outputs from habitat suitability models predicting the spatial distributions of these taxa of gorgonian corals offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Acanthogorgia occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Acanthogorgia offshore of the continental U.S. West Coast to 1200 m depth. 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 records of Acanthogorgia occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Acanthogorgia Robust High Suitability Prediction
Display Field:
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: Acanthogorgia Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Adelogorgia phyllosclera occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Adelogorgia phyllosclera offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Adelogorgia phyllosclera occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Adelogorgia phyllosclera Robust High Habitat Suitability Prediction
Display Field:
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: Adelogorgia phyllosclera Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Chromoplexaura marki occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Chromoplexaura marki offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Chromoplexaura marki occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Chromoplexaura marki Robust High Habitat Suitability Prediction
Display Field:
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: Chromoplexaura marki Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Eugorgia rubens occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Eugorgia rubens offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Eugorgia rubens occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Eugorgia rubens Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Eugorgia rubens Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Isidella tentaculum occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Isidella tentaculum offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Isidella tentaculum occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Isidella tentaculum Robust High Habitat Suitability Prediction
Display Field:
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: Isidella tentaculum Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Leptogorgia chilensis occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Leptogorgia chilensis offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Leptogorgia chilensis occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Leptogorgia chilensis Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Leptogorgia chilensis Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Paragorgia occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Paragorgia offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Paragorgia occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Paragorgia Robust High Habitat Suitability Prediction
Display Field:
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: Paragorgia Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Parastenella ramosa occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Parastenella ramosa offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Parastenella ramosa occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Parastenella ramosa Robust High Habitat Suitability Prediction
Display Field:
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: Parastenella ramosa Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Plumarella longispina occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Plumarella longispina offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Plumarella longispina occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Plumarella longispina Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Plumarella longispina Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Swiftia kofoidi occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Swiftia kofoidi offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Swiftia kofoidi occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Swiftia kofoidi Robust High Habitat Suitability Prediction
Display Field:
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: Swiftia kofoidi Classified Mean Habitat Suitability Prediction
Display Field:
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: Swiftia kofoidi Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Swiftia pacifica occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Swiftia pacifica offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Swiftia pacifica occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Swiftia pacifica Robust High Habitat Suitability Prediction
Display Field:
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: Swiftia pacifica Classified Mean Habitat Suitability Prediction
Display Field:
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: Swiftia pacifica Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Swiftia simplex occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Swiftia simplex offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Swiftia simplex occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Swiftia simplex Robust High Habitat Suitability Prediction
Display Field:
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: Swiftia simplex Classified Mean Habitat Suitability Prediction
Display Field:
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: Swiftia simplex Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of soft coral occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 2 taxa of soft corals and outputs from habitat suitability models predicting the spatial distributions of these taxa of soft corals offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Heteropolypus ritteri occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Heteropolypus ritteri offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Heteropolypus ritteri occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Heteropolypus ritteri Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Heteropolypus ritteri Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Clavularia occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Clavularia offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Clavularia occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Clavularia Robust High Habitat Suitability Prediction
Display Field:
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: Clavularia Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of sea pen occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 9 taxa of sea pens and outputs from habitat suitability models predicting the spatial distributions of these taxa of sea pens offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Acanthoptilum gracile occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Acanthoptilum gracile offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Acanthoptilum gracile occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Acanthoptilum gracile Robust High Habitat Suitability Prediction
Display Field:
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: Acanthoptilum gracile Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Anthoptilum grandiflorum occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Anthoptilum grandiflorum offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Anthoptilum grandiflorum occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Anthoptilum grandiflorum Robust High Habitat Suitability Prediction
Display Field:
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: Anthoptilum grandiflorum Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Funiculina occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Funiculina offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Funiculina occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Funiculina Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Funiculina Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Halipteris californica occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Halipteris californica offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Halipteris californica occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Halipteris californica Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Halipteris californica Classified Mean Habitat Suitability Prediction
Display Field:
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: Halipteris californica Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Pennatula phosphorea occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Pennatula phosphorea offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Pennatula phosphorea occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Pennatula phosphorea Robust High Habitat Suitability Prediction
Display Field:
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: Pennatula phosphorea Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Ptilosarcus gurneyi occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Ptilosarcus gurneyi offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Ptilosarcus gurneyi occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Ptilosarcus gurneyi Robust High Habitat Suitability Prediction
Display Field:
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: Ptilosarcus gurneyi Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Stylatula occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Stylatula offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Stylatula occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Stylatula Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Stylatula Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Umbellula lindahli occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Umbellula lindahli offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Umbellula lindahli occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Umbellula lindahli Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Umbellula lindahli Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Virgularia occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Virgularia offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Virgularia occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Virgularia Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Virgularia Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for one species of stylasterid coral and outputs from habitat suitability models predicting the spatial distribution of this species offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Stylaster californicus occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Stylaster californicus offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Stylaster californicus occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Stylaster californicus Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Stylaster californicus Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of demosponge occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 8 taxa of demosponges and outputs from habitat suitability models predicting the spatial distributions of these taxa of demosponges offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Demospongiae occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Demospongiae offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Demospongiae occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Demospongiae Robust High Habitat Suitability Prediction
Display Field:
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: Demospongiae Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Asbestopluma occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Asbestopluma offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Asbestopluma occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Name: Asbestopluma Robust High Habitat Suitability Prediction
Display Field:
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: Asbestopluma Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Craniella arb occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Craniella arb offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Craniella arb occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Craniella arb Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Craniella arb Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Haliclona occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Haliclona offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Haliclona occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Haliclona Robust High Habitat Suitability Prediction
Display Field:
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: Haliclona Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Mycale occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Mycale offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Mycale occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Mycale Robust High Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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)
Name: Mycale Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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)
Name: Mycale Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Polymastia occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Polymastia offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Polymastia occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Polymastia Robust High Habitat Suitability Prediction
Display Field:
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: Polymastia Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Rhizaxinella gadus occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Rhizaxinella gadus offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Rhizaxinella gadus occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Rhizaxinella gadus Robust High Habitat Suitability Prediction
Display Field:
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: Rhizaxinella gadus Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Thenea occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Thenea offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Thenea occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Thenea Robust High Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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: Thenea Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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)
Name: Thenea Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of glass sponge occurrence from the NOAA National Database for Deep-Sea Corals and Sponges for 7 taxa of glass sponges and outputs from habitat suitability models predicting the spatial distributions of these taxa of glass sponges offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: These data layers contain the records of Hexactinellida occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Hexactinellida offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Hexactinellida occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Hexactinellida Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Hexactinellida Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Aphrocallistes vastus occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Aphrocallistes vastus offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Aphrocallistes vastus occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Aphrocallistes vastus Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Aphrocallistes vastus Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Farrea occa occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Farrea occa offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Farrea occa occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Farrea occa Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Farrea occa Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Heterochone calyx occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Heterochone calyx offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Heterochone calyx occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Heterochone calyx Robust High Habitat Suitability Prediction
Display Field:
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: Heterochone calyx Classified Mean Habitat Suitability Prediction
Display Field:
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Hyalonema occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Hyalonema offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Hyalonema occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Hyalonema Robust High Habitat Suitability Prediction
Display Field:
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: Hyalonema Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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 Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Rhabdocalyptus dawsoni occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Rhabdocalyptus dawsoni offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Rhabdocalyptus dawsoni occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Rhabdocalyptus dawsoni Robust High Habitat Suitability Prediction
Display Field:
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)
Name: Rhabdocalyptus dawsoni Classified Mean Habitat Suitability Prediction
Display Field:
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: Rhabdocalyptus dawsoni Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: These data layers contain the records of Staurocalyptus occurrence from the NOAA National Database for Deep-Sea Corals and Sponges and outputs from a habitat suitability model predicting the spatial distribution of Staurocalyptus offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA Deep Sea Coral Research and Technology Program (DSCRTP)
Description: This data layer depicts records of Staurocalyptus occurrence (presence) from the NOAA National Database for Deep-Sea Corals and Sponges (version 20190208, https://deepseacoraldata.gov) offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP)
Name: Staurocalyptus Robust High Habitat Suitability Prediction
Display Field:
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: Staurocalyptus Classified Mean Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
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: Staurocalyptus Coefficient of Variation of Habitat Suitability Prediction
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the coefficient of variation of the 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. Higher values indicate greater variability in the predictions of habitat suitability for the 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: Number Deep-Sea Coral Taxa Associated with Hard Substrate having High Habitat Suitability
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the number of deep-sea coral taxa associated with hard substrate that were predicted to have 'high' habitat suitability at each grid cell from models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. 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: Number Deep-Sea Coral Taxa Associated with Hard Substrate having Robust High Habitat Suitability
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the number of deep-sea coral taxa associated with hard substrate that were predicted to have 'robust high' habitat suitability at each grid cell from models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. 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: These data layers depict geospatial data from models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. The data layers include raster data at 200x200 m grid resolution depicting each of the 66 spatial environmental predictors considered for fitting the models. 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: These data layers depict environmental predictors representing depth and seafloor topography that were considered for models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. 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 depth (in meters) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth and was derived from a synthesis of bathymetry datasets. 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 slope, the steepness of the seafloor in degrees, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the maximum gradient in seafloor depth. 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 east-west component of the direction of seafloor slope offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets as the sine of the direction of the maximum gradient in seafloor depth calculated using a 3x3 grid cell neighborhood moving window. 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 north-south component of the direction of seafloor slope offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets as the cosine of the direction of the maximum gradient in seafloor depth calculated using a 3x3 grid cell neighborhood moving window. 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 rugosity (roughness) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating the ratio of the area of the contoured depth surface to the horizontal planar area in a 3x3 grid cell neighborhood. 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 rugosity (roughness) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the ratio of the area of the contoured depth surface to the area of a plane of best fit that accounts for the slope of the seafloor. 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 slope of the slope (in degrees) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the maximum gradient in the slope of the seafloor. 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 total curvature (in Radians/100m2), a general measure of the curvature or roughness of the seafloor, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets using a 3x3 grid cell neighborhood moving window. 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 general curvature (in Radians/100m), a measure of the convexity or concavity of the seafloor, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets using a 3x3 grid cell neighborhood moving window. 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 plan curvature (in Radians/100m) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the curvature along the line of intersection between the depth surface and the horizontal plane. 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 cross-sectional curvature (in Radians/100m) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the curvature along the line of intersection between the depth surface and the plane formed by the slope normal and direction of slope. 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 profile curvature (in Radians/100m) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the curvature along the line of intersection between the depth surface and the plane formed by the direction of slope and the z-axis. 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 longitudinal curvature (in Radians/100m) of the seafloor offshore of the continental U.S. West Coast to 1200 m depth. It was derived from a synthesis of bathymetry datasets by calculating in a 3x3 grid cell neighborhood moving window the curvature along the line of intersection between the depth surface and the plane formed by the slope and direction of slope. 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: These data layers depict environmental predictors representing seafloor substrate that were considered for models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. 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); NOAA National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC)
Description: This data layer depicts a categorical map dividing the seafloor offshore of the continental U.S. West Coast to 1200 m depth into hard substrate and soft substrate. It was derived through interpretation of seafloor mapping data (multibeam bathymetry and backscatter, sidescan, seismic lines, bathymetric contour maps). See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC)
Description: This data layer depicts a categorical map dividing the seafloor offshore of the continental U.S. West Coast to 1200 m depth into hard substrate, mixed substrate, and soft substrate. It was derived through interpretation of seafloor mapping data (multibeam bathymetry and backscatter, sidescan, seismic lines, bathymetric contour maps). See the study technical report (Poti et al. 2020) for details.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC)
Description: This data layer depicts the mean grain size (in phi units) of surficial sediments offshore of the continental U.S. West Coast to 1200 m depth. It was derived by interpolation (Empirical Bayesian Kriging in ArcGIS Pro) of point sample data from sediment grabs compiled from the U.S. Geological Survey usSEABED database, the Henkel Laboratory at Oregon State University, and the Southern California Coastal Water Research Project (SCCWRP). 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 percent composition of the gravel fraction in surficial sediments offshore of the continental U.S. West Coast to 1200 m depth. It was derived by interpolation (Empirical Bayesian Kriging in ArcGIS Pro) of point sample data from sediment grabs compiled from the U.S. Geological Survey usSEABED database, the Henkel Laboratory at Oregon State University, and the Southern California Coastal Water Research Project (SCCWRP). 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 percent composition of the sand fraction in surficial sediments offshore of the continental U.S. West Coast to 1200 m depth. It was derived by interpolation (Empirical Bayesian Kriging in ArcGIS Pro) of point sample data from sediment grabs compiled from the U.S. Geological Survey usSEABED database, the Henkel Laboratory at Oregon State University, and the Southern California Coastal Water Research Project (SCCWRP). 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 percent composition of the mud fraction in surficial sediments offshore of the continental U.S. West Coast to 1200 m depth. It was derived by interpolation (Empirical Bayesian Kriging in ArcGIS Pro) of point sample data from sediment grabs compiled from the U.S. Geological Survey usSEABED database, the Henkel Laboratory at Oregon State University, and the Southern California Coastal Water Research Project (SCCWRP). 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: These data layers depict environmental predictors representing oceanography that were considered for models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. 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: These data layers depict the annual or seasonal climatological mean sea surface chlorophyll-a concentration (in mg/m3) offshore of the continental U.S. West Coast to 1200 m depth. The data layers were derived from remotely sensed ocean color data from multiple satellite instruments (SeaWiFS, Aqua MODIS, Terra MODIS, VIIRS). 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: Annual Mean Surface Chlorophyll-a Concentration
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the annual climatological mean sea surface chlorophyll-a concentration (in mg/m3) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (SeaWiFS, Aqua MODIS, Terra MODIS, VIIRS). 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: Spring/Summer Mean Surface Chlorophyll-a Concentration
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the spring/summer climatological mean sea surface chlorophyll-a concentration (in mg/m3) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (SeaWiFS, Aqua MODIS, Terra MODIS, VIIRS). 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: Fall Mean Surface Chlorophyll-a Concentration
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the fall climatological mean sea surface chlorophyll-a concentration (in mg/m3) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (SeaWiFS, Aqua MODIS, Terra MODIS, VIIRS). 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: Winter Mean Surface Chlorophyll-a Concentration
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the winter climatological mean sea surface chlorophyll-a concentration (in mg/m3) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (SeaWiFS, Aqua MODIS, Terra MODIS, VIIRS). 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: These data layers depict the annual or seasonal climatological mean remote sensing reflectance (in sr-1), measured as the normalized water-leaving radiance at 547 nm, offshore of the continental U.S. West Coast to 1200 m depth. The data layers were derived from remotely sensed ocean color data from multiple satellite instruments (Aqua MODIS and Terra MODIS). 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 annual climatological mean remote sensing reflectance (in sr-1), measured as the normalized water-leaving radiance at 547 nm, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (Aqua MODIS and Terra MODIS). 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 spring/summer climatological mean remote sensing reflectance (in sr-1), measured as the normalized water-leaving radiance at 547 nm, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (Aqua MODIS and Terra MODIS). 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 fall climatological mean remote sensing reflectance (in sr-1), measured as the normalized water-leaving radiance at 547 nm, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (Aqua MODIS and Terra MODIS). 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 winter climatological mean remote sensing reflectance (in sr-1), measured as the normalized water-leaving radiance at 547 nm, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from remotely sensed ocean color data from multiple satellite instruments (Aqua MODIS and Terra MODIS). 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: These data layers depict the annual or seasonal climatological mean of the east-west, north-south, or vertical components of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. The data layers were derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Annual Mean East-West Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the annual climatological mean of the east-west component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Annual Mean North-South Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the annual climatological mean of the north-south component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Annual Mean Vertical Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the annual climatological mean of the vertical component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Spring/Summer Mean East-West Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the spring/summer climatological mean of the east-west component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Spring/Summer Mean North-South Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the spring/summer climatological mean of the north-south component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Spring/Summer Mean Vertical Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the spring/summer climatological mean of the vertical component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 fall climatological mean of the east-west component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Fall Mean North-South Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the fall climatological mean of the north-south component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 fall climatological mean of the vertical component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Winter Mean East-West Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the winter climatological mean of the east-west component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Winter Mean North-South Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the winter climatological mean of the north-south component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: Winter Mean Vertical Bottom Current Velocity
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer depicts the winter climatological mean of the vertical component of bottom ocean current velocity (in m/s) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: These data layers depict the annual or seasonal climatological mean of the bottom ocean salinity (in psu) offshore of the continental U.S. West Coast to 1200 m depth. The data layers were derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 annual climatological mean of the bottom ocean salinity (in psu) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 spring/summer climatological mean of the bottom ocean salinity (in psu) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 fall climatological mean of the bottom ocean salinity (in psu) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 winter climatological mean of the bottom ocean salinity (in psu) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: These data layers depict the annual or seasonal climatological mean of the bottom ocean temperature (in °C) offshore of the continental U.S. West Coast to 1200 m depth. The data layers were derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 annual climatological mean of the bottom ocean temperature (in °C) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 spring/summer climatological mean of the bottom ocean temperature (in °C) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 fall climatological mean of the bottom ocean temperature (in °C) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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 winter climatological mean of the bottom ocean temperature (in °C) offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from a 31-year hindcast ocean circulation model from the University of California Santa Cruz. 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: These data layers depict the annual or seasonal climatological mean or maximum of ocean wave height or wave power offshore of the continental U.S. West Coast to 1200 m depth. The data layers were derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 annual climatological mean of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 annual climatological maximum of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 annual climatological mean of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 annual climatological maximum of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 spring/summer climatological mean of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 spring/summer climatological maximum of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 spring/summer climatological mean of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 spring/summer climatological maximum of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 fall climatological mean of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 fall climatological maximum of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 fall climatological mean of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 fall climatological maximum of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 winter climatological mean of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 winter climatological maximum of ocean wave height, the significant height (in meters) of combined wind waves and swell, offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 winter climatological mean of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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 winter climatological maximum of ocean wave power, the energy flux per unit of wave-crest length (in Watts/meter), offshore of the continental U.S. West Coast to 1200 m depth. It was derived from data from the NOAA WAVEWATCH III 30-year hindcast model for the U.S. West Coast. 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: These data layers depict environmental predictors representing geography that were considered for models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. 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 latitude (in meters), in an oblique Mercator projected coordinate system (origin = 39°N 125°W, azimuth = 75°, scale = 0.9996, datum = WGS84), offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the longitude (in meters), in an oblique Mercator projected coordinate system (origin = 39°N 125°W, azimuth = 75°, scale = 0.9996, datum = WGS84), offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)
Description: This data layer depicts the Euclidean straight-line distance (in meters) to the shoreline for the area offshore of the continental U.S. West Coast to 1200 m depth.
Copyright Text: National Oceanic and Atmospheric Adminstration (NOAA) National Centers for Coastal Ocean Science (NCCOS)