This feature class resides within the BIOLOGY Feature Data Set of the St Lawrence River - 2021 ESI Geodatabase. It contains vector polygons representing BENTHIC data for the Great Lakes St Lawrence River. The study area includes the St. Lawrence River from the headwaters of Lake Ontario, northeast to the western portion of L'Ile-Saint-Regis Island (CA). This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this dataset represent SAV. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for the Great Lakes St. Lawrence River. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - Straits of Mackinac - 2019 ESI Geodatabase. It contains vector polygons representing HABITATS data for the Great Lakes - Straits of Mackinac area of interest. The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in northern Michigan. This data set contains sensitive biological resource data for threatened and endangered plants. Vector polygons in this data set represent threatened and endangered plant distributions. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for the Great Lakes - Straits of Mackinac study area. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This data set contains sensitive biological resource data for marine and estuarine loose watermilfoil, submerged aquatic vegetation (SAV), and rock reefs in North Carolina. Vector polygons in this data set represent the aforementioned sensitive biological resource data. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for North Carolina. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This feature class resides within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons representing BENTHIC data for Lake Erie. The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east. This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this dataset represent SAV distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Lake Erie. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This data set contains sensitive biological resource data for seagrass, macroalgae, hardbottom communities, and deep sea coral in Southwest Florida. Vector polygons in this data set represent seagrass, macroalgae, hardbottom communities, and deep sea coral. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Southwest Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

These feature classes reside within the BIOLOGY Feature Data Set of the Great Lakes - Straits of Mackinac - 2019 ESI Geodatabase. It contains vector polygons and lines representing INVERT data for the Great Lakes - Straits of Mackinac study area. The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in northern Michigan. These data sets contain sensitive biological resource data for freshwater and terrestrial invertebrate species. Vector polygons and lines in these data sets represent invertebrate distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for the Great Lakes - Straits of Mackinac study area. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This data set contains sensitive biological resource data for marine and estuarine submerged aquatic vegetation (SAV), coral reefs, algae, and hardbottom communities in Northwest Peninsular Florida. Vector polygons in this data set represent the aforementioned sensitive biological resource data. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for Northwest Peninsular Florida. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase. It contains sensitive biological resource data for hard bottom habitat in Georgia. Vector polygons in this data set represent sparsely and densely colonized hard bottom distributions. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Georgia. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

The feature classes HYDROL and HYDROP contain vector lines and polygons representing the coastal shoreline and hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Great Lakes - Straits of Mackinac study area. The HYDROP (hydrography polygons) layer delineates the shoreline, and identifies areas as either Land or Water. The HYDROL (hydrography lines) layer includes features that are not captured in the HYDROP data layer, such as breakwaters, fenders, groins, jetties, and piers. The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in northern Michigan. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - St. Clair / Detroit River System - 2019 ESI Geodatabase. It contains vector polygons representing BENTHIC data for the St. Clair / Detroit River System in southeastern Michigan. The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters. This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this data set represent SAV. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for the Great Lakes - St. Clair / Detroit River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.