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NCCOS Assessment: Southeastern U.S. Predictive Modeling of Deep-Sea Corals and Hardbottom Habitats, 2016-10-01 to 2021-09-30 (NCEI Accession 0282806)

This data collection contains geospatial data from models predicting the spatial distributions of deep-sea corals (DSCs) and hardbottom habitats offshore of the southeastern U.S. It includes a database (.csv text file) containing records of occurrence (presence-absence) for DSCs with associated measures of sampling effort and bottom type from 20 datasets comprised of data from visual field surveys conducted with underwater vehicles. It also includes raster datasets at 100 x 100 m spatial resolution depicting the median and coefficient variation of the predicted occurrence (occupancy probability) for 24 taxa of DSCs (23 genera, 1 family) and hardbottom habitats. Additional raster datasets depict the median and coefficient of variation of the predicted genus richness for the 23 genera of DSCs. The data collection also includes raster datasets at 100 x 100 m spatial resolution depicting each of the 62 spatial environmental predictors considered for fitting the models. For more information, see Poti et al. (2022). The project to compile this model took place between 2016 and 2021, however the model input data range from 2001-2018 and the model output covers the same timeframe.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2025-11-19T16:37:55.167Z
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Title NCCOS Assessment: Southeastern U.S. Predictive Modeling of Deep-Sea Corals and Hardbottom Habitats, 2016-10-01 to 2021-09-30 (NCEI Accession 0282806)
Description This data collection contains geospatial data from models predicting the spatial distributions of deep-sea corals (DSCs) and hardbottom habitats offshore of the southeastern U.S. It includes a database (.csv text file) containing records of occurrence (presence-absence) for DSCs with associated measures of sampling effort and bottom type from 20 datasets comprised of data from visual field surveys conducted with underwater vehicles. It also includes raster datasets at 100 x 100 m spatial resolution depicting the median and coefficient variation of the predicted occurrence (occupancy probability) for 24 taxa of DSCs (23 genera, 1 family) and hardbottom habitats. Additional raster datasets depict the median and coefficient of variation of the predicted genus richness for the 23 genera of DSCs. The data collection also includes raster datasets at 100 x 100 m spatial resolution depicting each of the 62 spatial environmental predictors considered for fitting the models. For more information, see Poti et al. (2022). The project to compile this model took place between 2016 and 2021, however the model input data range from 2001-2018 and the model output covers the same timeframe.
Modified 2025-11-19T16:37:55.167Z
Publisher Name N/A
Contact N/A
Keywords 0282806 , biological data , CHLOROPHYLL A , CORAL , CORAL - SPECIES IDENTIFICATION , CURRENT SPEED , DISSOLVED OXYGEN , HABITAT , HABITAT - BENTHIC , REMOTE SENSING REFLECTANCE , SALINITY , seafloor topography , SEDIMENT - GRAIN SIZE , SEDIMENTS , SEDIMENTS - PERCENT COVER , species abundance , SUBSTRATE DESCRIPTION , water depth , WATER TEMPERATURE , model output , survey - coral reef , College of Charleston , Florida State University , NOAA National Centers for Coastal Ocean Science , South Carolina Department of Natural Resources , Temple University , NOAA National Centers for Coastal Ocean Science , Coastal Waters of Florida , South Atlantic Ocean , oceanography , DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce , SCDNR > South Carolina Department of Natural Resources , NCCOS Project: Characterizing Spatial Distributions of Deep-Sea Corals and Hardbottom Habitats in the U.S. Southeast Atlantic , EARTH SCIENCE > BIOLOGICAL CLASSIFICATION , EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC , EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY , EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH , EARTH SCIENCE > OCEANS > MARINE SEDIMENTS , EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL , EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN , EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS , EARTH SCIENCE > OCEANS > OCEAN OPTICS > REFLECTANCE , EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE , EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY , EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > CORAL REEFS , Marine Spatial Ecology > Ecological and Biogeographic Assessments , Marine Spatial Ecology > Habitat Mapping , Derived Data Product , Geospatial , Model , Occupancy Probability , Models/Analyses > Data Analysis > Environmental Modeling , OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN , OCEAN > ATLANTIC OCEAN > SOUTH ATLANTIC OCEAN , U.S. States and Territories > Delaware , U.S. States and Territories > Florida , U.S. States and Territories > Georgia , U.S. States and Territories > Maryland , U.S. States and Territories > North Carolina , U.S. States and Territories > South Carolina , U.S. States and Territories > Virginia , Waterbodies > Atlantic Ocean , Coastal Ocean , Continental Shelf , Oculina Bank Habitat Area of Particular Concern , South Atlantic Bight , South Atlantic Deepwater Coral Habitat Areas of Particular Concern , South Atlantic Deepwater Snapper Grouper MPAs , YBN85R , environment , oceans , geoscientificInformation , biota
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