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.

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of the St Marys River - 2021 ESI Geodatabase, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity. The study area includes the St. Marys River at the southern portion of Lake Superior beginning just east of Monocle Lake and south of Iroquois Island ending to the headwaters of Lake Huron. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Lake Erie - 2022 ESI Geodatabase, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity. 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. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of the St Lawrence River - 2021 ESI Geodatabase, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity. 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). As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes 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.

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) of the Lake Erie - 2022 ESI Geodatabase, classified by their susceptibility to oiling. The HYDROP (hydrography polygons) layer delineates the shoreline, and identifies areas as either Land or Water. The HYDROL (hydrography lines) layer depicts one continuous linear shoreline. 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. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes 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.

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Great Lakes - St. Clair / Detroit River System in southeastern Michigan, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity. 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. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Lake Ontario 2023 ESI Geodatabase, classified by their susceptibility to oiling. The Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity. The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

These feature classes reside within the SOCECON Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. They contain vector polygons and points representing Socioeconomic human-use resource data for Lake Erie and adjacent lands and waters. 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. These data sets contain information about the following resources: National Register of Historic Places historical sites, beaches, and heliports in Lake Erie. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for the Lake Erie 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.