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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,905 datasets
Southern North Sea survey data from one of nine 1968 expeditions investigating fish eggs and larvae in spawning areas. The dataset, aggregated by the Government Digital Service, likely contains station information from the RV Corella 03/68 survey. The full data includes counts of fish eggs, larvae, and other zooplankton, but only station data is currently available electronically.
1968 survey data from one of nine expeditions investigating fish spawning grounds in the southern North Sea. The dataset, provided by the Government Digital Service, likely contains station information for a survey that originally recorded counts of fish eggs, larvae, and other zooplankton. Only the station data is currently available in electronic format.
From 1976 to 1991, a series of groundfish surveys were conducted in the eastern Irish Sea using a Boris Goshawk trawl towed for an hour. The data records numbers at length by centimetre for main commercial species like cod, plaice, sole, and whiting, along with station positions by area. A summary table for cruises from 1981-1991 includes catch data for all other species.
Fishing tows were carried out on plankton surveys in the Irish Sea. The dataset holds station, catch, length, and biological data for each tow undertaken in 1995 and 2000 in the FSS database. It originates from the Government Digital Service via the eu_open_data platform.
Riverine species and environmental data collected for a field experiment testing ecological restoration. The dataset relates to the study by Thompson et al. published in the Journal of Applied Ecology in 2017. The data was aggregated by the Government Digital Service via the eu_open_data platform.
Station data from a 1968 survey investigating fish eggs and larvae in southern North Sea spawning areas. The full dataset includes counts of fish eggs, larvae, and other zooplankton, but only the station information is currently available in electronic format. The survey was one of a series of nine conducted that year.
The County Durham Landscape Character Assessment 2008 provides the source for this dataset. It classifies landscapes within County Durham based on patterns of geology, soils, vegetation, land use, settlement, and field patterns at a sub-regional scale. The data is aggregated from the European Union's open data platform by the Government Digital Service.
Perth's urban greening initiative provides public consultation data on proposed tree plantings. The dataset, created by GIS Services City of Perth and last updated in March 2026, promotes transparency by combining planned plantings with historical records. It includes tags for properties, LGA boundaries, and tree planting categories.
Sololá, Guatemala, is the focus of this dataset, which consolidates taxonomic records of plant species from three local Socio-Ecological Systems (SSA). It contains 186 records, with 175 having accepted scientific names and 173 representing unique taxa, normalized according to the APG IV (2016) classification system. The data was gathered by ancestral knowledge communities with technical support from CERR and Médicos Descalzos, Chinique.
A source of an estimated age in years since the last significant disturbance for woody vegetation in Queensland, derived from Landsat time series starting in 1988 and incorporating Sentinel-2 and Earth-i imagery. The method uses a sequential Conditional Random Fields classifier and heuristic rules to detect and track regrowing vegetation, combined with historic clearing data. The product represents different spatial scales, including 30-meter, 10-meter, and 1-meter resolutions.
42.0 KB of raw experimental data supports the manuscript 'Research and development of a vacuum low-temperature dryer for fish meal'. The dataset was authored by xuchu chen and last updated in April 2026. It contains primary measurements used to generate figures and tables for the study.
South Ayrshire wildlife sites identified as areas of land especially important for local fauna and flora. The dataset is produced by the Government Digital Service and likely contains locations selected using scientifically-determined criteria and local surveys. The last update date, row count, and specific file formats are unknown.
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.