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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
26,877 datasets
Polygon data representing candidate Local Wildlife Sites in the North Lincolnshire Council area. The dataset is provided by the Government Digital Service via the eu_open_data platform. The specific temporal coverage, update frequency, and total number of sites are unknown.
Socioeconomic human-use resource data for the Great Lakes - Straits of Mackinac study area, part of a larger Environmental Sensitivity Index (ESI) geodatabase. The data characterize the sensitivity of coastal environments to oil spills and include vector points, lines, and polygons for features like airports, archaeological sites, pipelines, and roads. It was created by the National Oceanic and Atmospheric Administration (NOAA) for the 2019 ESI assessment of the Straits of Mackinac region.
The United States portion of Lake Erie, covering coastal Ohio, Pennsylvania, and New York, is represented by vector polygons, lines, and points. These data from the National Oceanic and Atmospheric Administration characterize political and human-use resources like tribal lands and state lines for the 2022 Environmental Sensitivity Index. The data are part of a system designed to assess sensitivity to oil spills.
2019 Environmental Sensitivity Index data for bird species in the St. Clair/Detroit River system. The dataset contains vector polygons and points representing nesting, migratory staging, and wintering sites for wading birds, shorebirds, waterfowl, raptors, and other avian groups. It was created by the National Oceanic and Atmospheric Administration (NOAA) to characterize wildlife sensitivity to oil spills.
Environmental Sensitivity Index (ESI) vector data for the U.S. portion of Lake Ontario, created by the National Oceanic and Atmospheric Administration. The dataset includes hydrography polygons (HYDROP) and lines (HYDROL) classifying shoreline and water areas by their susceptibility to oiling. The study area covers specific islands and major bays within Lake Ontario in New York State.
Vector polygons representing natural hazard areas, specifically flood hazard areas mapped as storm surge inundation zones, for the St. Clair and Detroit River system in southeastern Michigan. The data characterizes the marine and coastal environments by their sensitivity to spilled oil and is part of the Environmental Sensitivity Index (ESI) data for the Great Lakes region. It was created by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
GL_LAKE_ERIE_2022 ESI BIRDS Polygons, Points is a geospatial dataset from the National Oceanic and Atmospheric Administration. It contains vector polygons and points representing bird species in the U.S. portion of Lake Erie, covering coastal Ohio, Pennsylvania, and New York. The data characterize bird nesting, migratory staging, and wintering sites for species including wading birds, shorebirds, waterfowl, raptors, diving birds, passerine birds, and gulls and terns.
2021 Environmental Sensitivity Index (ESI) data for the St. Marys River, connecting Lake Superior to Lake Huron. The dataset contains vector polygons representing habitats and includes associated tables with species-specific abundance, seasonality, and status for threatened and endangered plants. It was created by the National Oceanic and Atmospheric Administration (NOAA) to characterize environmental sensitivity to oil spills.
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).