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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,708 datasets
Plankton survey data from the Mnemiopsis Ecology Modelling and Observation project includes counts of fish larvae, fish eggs, microzooplankton, mesozooplankton, and phytoplankton. The data was collected by CEFAS during four research cruises aboard the RV Endeavour in 2011 and 2012. Associated positional data and filtered water volumes are recorded where applicable.
DPLUS0045 Anguilla MBES Bathymetry 2m is a geospatial dataset of seafloor depth collected via multi-beam echo sounder (MBES). The data was created by the Darwin Plus funded project 'Mapping Anguilla's Blue Belt Ecosystem Services' to support marine resource assessments. The project aimed to develop local capacity and extend mapping into deeper waters for the first time.
Multibeam echosounder backscatter imagery from a controlled experiment assessing seafloor recovery from fishing impacts. Data were collected within six experimental boxes over three time points before, immediately after, and eight months after impact during two research surveys in 2015. The imagery likely documents changes in seafloor texture and composition.
Collection of flora and fauna observations from the TGB Osborn Vegetation Reserve, a 390-hectare grazing exclusion site established in 1925. It comprises multiple sub-datasets including Vegetation Quadrats, Photopoints, Saltbush Transects, and Kangaroo Transect data. The data supports long-term monitoring of arid zone vegetation and grazing impacts.
Featuring flux tower measurements of energy and mass exchange between an alpine sphagnum bog surface and the atmospheric boundary-layer, processed using PyFluxPro (v3.4.15). The data were collected at the Heathy Spur I site on the Bogong High Plains, established in 2017, and include final, gap-filled products with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).
Government Digital Service provides statistics on the first sales value in GBP from commercial shellfish fishing in Scottish seas. The data covers the latest published year and the previous four years, including landings by UK-registered vessels and non-UK vessels landing into the UK. Data is redacted to -1 in ICES statistical rectangles with fewer than five vessels.
Four acoustic recorders were deployed in 2019 to continuously capture soundscapes in mallee woodlands and riverine vegetation of South Australia. The Calperum Mallee site, established in 2010, is a former pastoral lease undergoing restoration after sheep removal in 1994. This collection is part of the Australian Acoustic Observatory (A2O) project, with recorders placed in both wet and dry habitats.
Lake Ontario's U.S. waters, including islands and major bays, are covered by this 2023 Environmental Sensitivity Index (ESI) dataset. It contains vector polygons and points representing freshwater fish distribution, concentration areas, and spawning areas. The data, produced by the National Oceanic and Atmospheric Administration, is designed to characterize sensitivity to oil spills.
2021 data from the National Oceanic and Atmospheric Administration characterizes fish species in the St. Marys River system for oil spill sensitivity. The dataset contains vector polygons and points representing fish distribution and spawning areas, with associated tables for species abundance, seasonality, and life history. It is part of the Environmental Sensitivity Index (ESI) data for the Great Lakes St. Marys River System.
2022 data from the National Oceanic and Atmospheric Administration characterizes the sensitivity of invertebrate resources in Lake Erie to oil spills. The geospatial polygons represent invertebrate distribution and concentration areas for the U.S. coastal portions of Ohio, Pennsylvania, and New York. Associated tables contain species-specific data on abundance, seasonality, and life history.
Vector polygons and points representing fish distribution, concentration, and spawning areas for the United States portion of Lake Erie. The data characterize freshwater fish species by their sensitivity to spilled oil and include associated tables for species-specific abundance, seasonality, and life history. It is part of the 2022 Environmental Sensitivity Index (ESI) data produced by the National Oceanic and Atmospheric Administration.
Vector polygons represent freshwater mussel and state listed insect distribution and concentration areas in the United States portion of Lake Ontario. The study area includes 13 islands and 12 major bays in New York. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables designed to be used in conjunction with this spatial data layer.
Vector polygons and points representing freshwater and anadromous fish species in the St. Lawrence River from Lake Ontario to L'Ile-Saint-Regis Island. The data characterize biological resources by their sensitivity to oil spills and include associated tables for species abundance, seasonality, and life history. It is part of the 2021 Environmental Sensitivity Index (ESI) data for the Great Lakes St. Lawrence River, produced by the National Oceanic and Atmospheric Administration.
Vector polygons represent threatened and endangered plant distributions in the St. Clair and Detroit River system. This data characterizes coastal environments by their sensitivity to oil spills, covering shoreline habitats, biological resources, and human-use resources. The dataset was published by the National Oceanic and Atmospheric Administration and last updated in March 2026.
GL_StClair_Detroit_River 2019 ESI FISH data from the National Oceanic and Atmospheric Administration contains vector polygons, lines, and points representing freshwater fish distribution, concentration, and spawning areas in the St. Clair/Detroit River System. The data characterize biological resources by their sensitivity to spilled oil and include species-specific abundance, seasonality, and life history information in associated tables. This dataset covers a portion of southern Lake Huron, the St. Clair River, Lake St. Clair, the Detroit River, and western Lake Erie.
Vector polygons representing the distribution of submerged aquatic vegetation (SAV) in the U.S. portion of Lake Erie. This data characterizes coastal environments by their sensitivity to oil spills and is part of the 2022 Environmental Sensitivity Index (ESI) for Lake Erie. The National Oceanic and Atmospheric Administration (NOAA) produced the dataset, which includes associated tables for species-specific abundance and life history.
Sensitive biological resource data for freshwater fish species in the Straits of Mackinac area. Vector polygons, lines, and points represent fish distribution, concentration areas, and spawning areas. These data characterize the marine and coastal environments by their sensitivity to spilled oil and were created by the National Oceanic and Atmospheric Administration.
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.