Loading...
Loading...
Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,718 datasets
2016 vector polygon data for Southwest Florida representing predicted flood inundation from Category 1-5 hurricanes, based on 2015 SLOSH model outputs. The dataset, part of the Environmental Sensitivity Index (ESI) from NOAA, characterizes human-use resources for sensitivity to oil spills. It includes flood depth bins for planning purposes.
Vector polygons represent the distribution of bats, river otter, beaver, muskrat, and Canada lynx in the Great Lakes Straits of Mackinac area. This data set contains sensitive biological resource data designed to characterize wildlife by their sensitivity to spilled oil. It was created by the National Oceanic and Atmospheric Administration (NOAA) as part of the 2019 Environmental Sensitivity Index (ESI) for the region.
2019 vector polygons and lines representing freshwater and terrestrial invertebrate species in the Great Lakes St. Clair/Detroit River system. The data, part of an Environmental Sensitivity Index (ESI) geodatabase, includes associated tables with species abundance, seasonality, and life history information. It was created by the National Oceanic and Atmospheric Administration (NOAA) to characterize environmental sensitivity to oil spills.
739 individual fish, sharks, rays, and sea snakes from 81 species were observed at Palm Islands using 28 baited remote underwater video stations. Data includes species identity, time of arrival, behavior, maturity, and relative abundance metrics. The dataset also contains a reference library of approximately 3500 best images from related projects.
Vector polygons representing threatened and endangered plant habitats in the U.S. portion of Lake Ontario. The data, part of the Environmental Sensitivity Index (ESI) for Lake Ontario, characterize sensitivity to oil spills and include associated tables with species-specific attributes. It was created by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
Southeastern Michigan's St. Clair/Detroit River System, including parts of Lake Huron, Lake St. Clair, Lake Erie, and adjacent lands, is covered by this dataset. It contains vector polygon data representing the distributions of reptiles and amphibians, with associated tables for species-specific attributes. The data was created by the National Oceanic and Atmospheric Administration (NOAA) as part of a 2019 Environmental Sensitivity Index (ESI) study to characterize sensitivity to oil spills.
Vector polygon data representing reptile and amphibian distributions for the Great Lakes - Straits of Mackinac area of interest. The data set contains sensitive biological resource data, with species-specific attributes stored in associated tables. It was created by the National Oceanic and Atmospheric Administration as part of the 2019 Environmental Sensitivity Index (ESI) for characterizing sensitivity to oil spills.
Vector polygons represent threatened and endangered plant distributions in the Straits of Mackinac, Lake Michigan, and Lake Huron. The data set contains sensitive biological resource data for the 2019 Environmental Sensitivity Index (ESI) study area. It was created by the National Oceanic and Atmospheric Administration (NOAA) and characterizes environments by their sensitivity to spilled oil.
Vector polygons represent terrestrial mammal distribution for the St. Clair / Detroit River System in southeastern Michigan. The data set contains sensitive biological resource data for five species: bats, river otter, beaver, muskrat, and Canada lynx. It is part of the 2019 Environmental Sensitivity Index (ESI) data for the Great Lakes region, characterizing coastal environments by their sensitivity to oil spills.
Vector polygons and lines represent freshwater and terrestrial invertebrate species distribution for the Great Lakes - Straits of Mackinac study area. The data characterize environments by sensitivity to oil spills and include associated tables for species abundance, seasonality, and life history. This portion of the Environmental Sensitivity Index (ESI) data was created by the National Oceanic and Atmospheric Administration.
Bathymetry line data was collected to assess fish habitat in Ontario. Spot depths were used to measure depth contours, which function like isobars to show lines of constant depth. The data is provided by the Government of Ontario and was last updated in March 2026.
National Oceanic and Atmospheric Administration vector polygons map the distribution of submerged aquatic vegetation in the U.S. portion of Lake Ontario. The data characterize shoreline habitats, sensitive biological resources, and human-use resources by their sensitivity to oil spills. Associated tables contain species-specific abundance, seasonality, and life history information for use with this spatial layer.
Regulated conservation reserve areas in Ontario protect representative ecosystems and biodiversity. The dataset is provided by the Government of Ontario and was last updated in March 2026. It supports land use planning and ecological monitoring.
Five years of published statistics on shellfish landings by live weight (tonnes) from commercial fishing in Scottish seas. The data covers UK-registered vessels landing anywhere and non-UK vessels landing into the UK, collected by the Government Digital Service. Values are redacted to -1 in statistical rectangles where fewer than five vessels operate.
Natural Resources Wales' Evidence Report No 646 provides the source for this GIS package of modelled species densities. The shapefiles contain maximum and monthly mean density estimates for cetaceans and seabirds. The data was produced by the Government Digital Service.
A survey recorded 2,704 individual fish, sharks, rays, and sea snakes from 78 species using 91 baited remote underwater video stations. Observations include species identity, time of arrival, behavior, maturity, and relative abundance metrics. The data was collected by the Australian Ocean Data Network in the Cairns region from January 23 to 28, 2002.
A collection of continuous audio recordings from four acoustic recorders deployed in 2019 in a Cumberland Plain Woodland ecosystem in New South Wales, Australia. The recorders were placed in two wet and two dry habitats within a protected forest remnant dominated by Eucalyptus moluccana and E. fibrosa. The data is part of the Australian Acoustic Observatory (A2O) project for monitoring ecosystem pressures.
Geoscience Australia provides a legacy report on the microbial communities found in two specific wells in Victoria. The data is presented in PDF and HTML formats, with a last recorded update in May 2026. Metadata is minimal, with no abstract or column details available, requiring direct inspection of the files for content verification.
A project poster presented at the CSLF Call project poster reception in London on 27.06.16. The poster details research from the UKCCSRC Call 1 project, grant number UKCCSRC-C1-22, conducted by the British Geological Survey. The project aimed to develop new methods for creating custom equations of state to model the behavior of impure CO2 for carbon capture and storage applications.
Comprising long-term environmental audio recordings from the Mitchell Grass Rangeland SuperSite in Queensland, Australia. Four acoustic recorders were deployed in 2020, with two placed in wet habitats and two in dry habitats. The data can be used to identify sound sources, characterize the soundscape, and monitor biodiversity and environmental changes.