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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,905 datasets
2021 socioeconomic data for the Great Lakes St. Marys River system, collected by the National Oceanic and Atmospheric Administration. It contains vector lines and points representing human-use resources like airports, archaeological sites, beaches, and pipelines. The data characterizes the environment by its sensitivity to oil spills as part of a larger Environmental Sensitivity Index (ESI) study.
Chesapeake Bay and the Outer Coasts of Maryland and Virginia are covered by this 2016 Environmental Sensitivity Index (ESI) dataset. It contains vector polygons, lines, and points depicting U.S. Army Corps of Engineers districts, U.S. Coast Guard districts, county boundaries, EPA regions, FEMA regions, state waters, tribal lands, and coast guard stations. The data was created by the National Oceanic and Atmospheric Administration (NOAA) to characterize human-use resources for oil spill sensitivity assessments.
These feature classes contain vector polygons, lines, and points representing socioeconomic human-use resources for the St. Clair and Detroit River System in southeastern Michigan. The data, part of the 2019 Environmental Sensitivity Index (ESI) from the National Oceanic and Atmospheric Administration, includes features like abandoned vessels, airports, archaeological sites, campgrounds, pipelines, railroads, and roads. The study area covers portions of Lake Huron, the St. Clair River, Lake St. Clair, the Detroit River, and western Lake Erie.
National Oceanic and Atmospheric Administration (NOAA) data from 2019 characterizes human-use resources for oil spill sensitivity in the Straits of Mackinac. The geodatabase contains vector polygons, lines, and points representing ferry routes, boat ramps, marinas, ports, lock and dams, anchorages, and access sites. It is part of the Environmental Sensitivity Index (ESI) data for the Great Lakes region.
The Great Lakes Straits of Mackinac and adjacent lands and waters in northern Michigan are represented in this geospatial dataset. It contains vector polygons for parks and managed areas, including national forests, marine sanctuaries, and wildlife refuges, as part of the 2019 Environmental Sensitivity Index (ESI) data from the National Oceanic and Atmospheric Administration. The ESI data characterize coastal environments by their sensitivity to spilled oil.
Environmental Sensitivity Index (ESI) vector lines and polygons classify shoreline and intertidal habitats of the U.S. portion of Lake Ontario by their susceptibility to oiling. The data, developed by NOAA, consider factors like wave exposure, shoreline slope, substrate type, and biological sensitivity. The study area includes specific islands and major bays within New York State.
GL_St_Lawrence_River_2021 ESI HABITATS Polygons is a geospatial dataset from the National Oceanic and Atmospheric Administration. It contains vector polygons representing habitats and sensitive biological resources for threatened and endangered plants in the St. Lawrence River. The data characterizes environments by their sensitivity to oil spills and was last updated in March 2026.
A collection of fish otoliths (ear bones) and scales, which are hard structures used for determining fish age. The samples were gathered from market sampling, research and commercial vessel cruises, and tagged fish recaptures. The dataset is provided by the Government Digital Service via the eu_open_data platform.
2019 data from the National Oceanic and Atmospheric Administration characterizes human-use resources for oil spill sensitivity in the St. Clair and Detroit River system. It contains vector polygons, lines, and points representing navigation and marine infrastructure, including ferry routes, boat ramps, marinas, and anchorages. The data is part of a larger Environmental Sensitivity Index (ESI) study covering shoreline habitats, biological resources, and human-use resources for the southeastern Michigan and western Lake Erie region.
GL_Mackinac 2019 ESI BENTHIC Polygons is a geospatial dataset from the National Oceanic and Atmospheric Administration. It contains vector polygons representing submerged aquatic vegetation (SAV) for the Straits of Mackinac area, including parts of Lake Michigan and Lake Huron. The data characterizes biological resources by their sensitivity to oil spills and includes associated tables for species abundance, seasonality, and life history.
2023 data from the National Oceanic and Atmospheric Administration characterizes human-use resources for oil spill sensitivity in the Lake Ontario system. The dataset contains vector points and lines depicting features such as coast guard units and the international border. It covers the U.S. portion of Lake Ontario, including specific islands and bays in New York.
Lake Erie and adjacent U.S. coastal lands in Ohio, Pennsylvania, and New York are covered by this geospatial dataset. It contains vector polygons and points representing socioeconomic human-use resources, specifically National Register of Historic Places sites, beaches, and heliports. The data is part of the Environmental Sensitivity Index (ESI) for the Lake Erie system, produced by the National Oceanic and Atmospheric Administration (NOAA).
NOAA's Office of Response and Restoration created this 2021 geospatial dataset of human-use resources for the Great Lakes St. Marys River system. It contains vector points representing anchorages, boat ramps, ferry terminals, lock and dam systems, and marinas. The data characterizes the environment by its sensitivity to oil spills, forming part of a larger Environmental Sensitivity Index (ESI) study.
Vector polygons represent submerged aquatic vegetation (SAV) in the St. Lawrence River from Lake Ontario to L'Ile-Saint-Regis Island. This data is part of the Environmental Sensitivity Index (ESI) for the Great Lakes, characterizing coastal environments by their sensitivity to oil spills. The dataset was created by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
Vector lines represent sensitive biological resource data for invertebrates, specifically freshwater mussels, in the St. Marys River. The data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. This data set is a portion of the Environmental Sensitivity Index (ESI) data for the Great Lakes St. Marys River System, produced by the National Oceanic and Atmospheric Administration.
A geospatial dataset from the National Oceanic and Atmospheric Administration characterizes bird sensitivity to oil spills in the St. Lawrence River. It contains vector polygons and points for wading birds, shorebirds, waterfowl, raptors, diving birds, passerine birds, and gulls and terns. Associated tables store species-specific abundance, seasonality, status, and life history information.
Vector polygons representing parks and managed areas for human-use resource data in the Lake Erie system. The data characterize coastal environments by their sensitivity to oil spills and cover the U.S. portions of Ohio, Pennsylvania, and New York. It is part of the Environmental Sensitivity Index (ESI) data produced by the National Oceanic and Atmospheric Administration.
These vector polygons and points represent benthic data, specifically submerged aquatic vegetation (SAV), for the Great Lakes St. Marys River System. The data is part of the 2021 Environmental Sensitivity Index (ESI) study characterizing sensitivity to oil spills, created by the National Oceanic and Atmospheric Administration. The study area covers the St. Marys River from near Lake Superior to the headwaters of Lake Huron.
Vector polygon data representing benthic resources, specifically submerged aquatic vegetation (SAV), for the St. Clair and Detroit River system in southeastern Michigan. The dataset is part of the 2019 Environmental Sensitivity Index (ESI) for the Great Lakes, characterizing sensitivity to oil spills. It was created by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
Vector polygons representing political and jurisdictional areas for the St. Clair/Detroit River System in southeastern Michigan. The data is part of the Environmental Sensitivity Index (ESI) geodatabase produced by the National Oceanic and Atmospheric Administration, characterizing the area's sensitivity to oil spills. It includes information on Army Corps of Engineers divisions, Coast Guard sectors, cities, counties, FEMA regions, and tribal lands.