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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,518 datasets
Western Australia's state-wide vegetation cover datasets classify perennial woody vegetation annually from 1988 onward using Landsat imagery. The data provides two structural classes: forest meeting 20% cover and 2m height thresholds, and sparse woody vegetation with 5-20% cover.
State-wide vegetation cover datasets classify perennial woody vegetation from Landsat imagery at 30-meter resolution. The data provides annual classifications starting from 1988, distinguishing forest and sparse woody vegetation categories based on cover density and height. Landgate produces these datasets for land monitoring.
Western Australia's annual state-wide vegetation cover datasets classify perennial woody vegetation from Landsat imagery starting in 1988. The data provides two structural classes: forest meeting 20% cover density and 2m height, and sparse woody vegetation with 5-20% cover. It is produced by Landgate and updated annually.
Marine Sediments: Interactions between Macro- and Microorganisms is a research overview from the Australian Ocean Data Network, last updated in April 2026. It synthesizes the state of science on biological and geochemical interactions in coastal, estuarine, and deep-sea sediments. The document focuses on plant-animal-microbe relationships, community structuring, and conceptual and numeric modeling approaches.
Vegetation cover datasets classify perennial woody vegetation across the state annually using Landsat imagery at 30-meter resolution. Landgate produces these datasets, which include two structural classes: forest meeting 20% cover density and 2m height, and sparse woody vegetation with 5-20% cover. The time series begins in 1988 and is updated to the present.
State-wide vegetation cover datasets for Western Australia track perennial woody vegetation annually from 1988 onward using Landsat imagery. The data classifies vegetation into two structural categories based on cover density and height at maturity.
148 marine strategy indicators were reviewed to define and operationalize social-ecological indicators using the DAPSI(W)R(M) framework. The dataset, created by Aurelija Armoskaite and last updated in April 2026, contains analysis from which only nine indicators were found to qualify as true social-ecological indicators. It outlines pathways for adapting existing indicators, drawing on work from the SEADITO project (2024–2027) for the European Digital Twin of the Ocean.
A 2026 study by Aurelija Armoskaite defines and evaluates pathways for social-ecological indicators using the DAPSI(W)R(M) framework. It reviews 148 marine strategy indicators from sources like HELCOM, OSPAR, and UN SDGs, identifying only nine that qualify as true social-ecological indicators. The work is part of the SEADITO project (2024–2027) developing tools for the European Digital Twin of the Ocean.
A review of 148 marine indicators from the Marine Strategy Framework Directive, HELCOM, OSPAR, the European Environment Agency, and UN SDGs. The dataset, authored by Aurelija Armoskaite and last updated in April 2026, analyzes indicators across four dimensions to define and operationalize social-ecological indicators. It identifies only nine indicators that qualify as truly social-ecological, connecting both ecological and social dimensions.
A 2026 review of 148 marine environmental indicators developed under the Marine Strategy Framework Directive, HELCOM, OSPAR, and UN SDGs. The dataset, authored by Aurelija Armoskaite, operationalizes social-ecological indicators using the DAPSI(W)R(M) butterfly model. It identifies only nine indicators that fully connect ecological and social dimensions, drawing on examples like the Ocean Health Index.
Western Australia's state-wide vegetation cover datasets classify perennial woody vegetation from annual Landsat imagery at 30-meter resolution. Landgate produces these maps, with data series starting in 1988 and updated to the current year. The classification distinguishes forest meeting 20% cover density and 2m height thresholds from sparse woody vegetation with 5-20% cover.
Landgate produces annual state-wide vegetation cover datasets for Western Australia, starting from 1988. The data classifies perennial woody vegetation into two structural categories based on Landsat imagery at 30-meter resolution.
Fisheries and Oceans Canada provides data on landings, fishing effort, and catch per unit effort (CPUE) for sea scallop (_Placopecten magellanicus_) stock assessments in the southern Gulf of St. Lawrence. The dataset contains corrected information from DFO annual reports, logbooks, purchase slips, and published assessments, with data prior to 1947 representing combined landings. It was used in a peer review meeting for the Limit Reference Point and Population Model Review held on November 1-2, 2023.
Quebec's Atlantic Zone Monitoring Program provides phytoplankton cell counts per liter from 3 fixed stations and up to 46 transect stations in the Estuary and Gulf of St. Lawrence. Data includes counts for Diatoms, Dinoflagellates, Flagellates, Protozoans, and Total Phytoplankton, collected in June 2014, 2018, and 2019. The dataset is managed by Fisheries and Oceans Canada to track changes in the marine environment.
30-meter resolution Landsat imagery classifies perennial woody vegetation across a state annually from 1988 onward. The dataset provides two structural classes: forest meeting 20% cover density and 2m height criteria, and sparse woody vegetation with 5-20% cover. Landgate produces this data for land monitoring.
Data supporting the study 'Educational Training Contexts Shape Public Moral Concern and Perceptions of Animal Minds' by Michael Philipp and colleagues. The dataset is 858.8 KB and includes files in PDF, OMV, and CSV formats. It was last updated on April 24, 2026.
1988 to present annual datasets classify perennial woody vegetation across Western Australia using Landsat imagery. Landgate produces state-wide maps with two structural classes: forest meeting 20% cover density and 2m height, and sparse woody vegetation with 5-20% cover. Data is provided via WMS, DOCX, and ArcGIS Server map service formats.
A 2020 pre-impact assessment surveyed 169 stations along approximately 40 km of coastline in Nova Scotia. The study mapped eelgrass beds, collected sediment and plant tissue samples, and analyzed them for heavy metal contamination and plant health metrics. It was conducted by researchers from Fisheries and Oceans Canada to inform the assessment of a proposed LNG terminal construction.
Fisheries and Oceans Canada research vessel surveys monitor fish and invertebrate distribution and abundance on the Scotian Shelf, Bay of Fundy, and Georges Bank. The data includes total catch in numbers and weights by species, with length frequency data for most species and age, sex, maturity, and weight for a subset. These surveys, conducted in January through April and focusing on Georges Bank (5Z), are the primary source for monitoring species trends and provide data to the Atlantic Zonal Monitoring Program.
Fisheries and Oceans Canada has conducted scallop research surveys around the Magdalen Islands since 1985, with detailed biometric data available from 1998 to 2024. The dataset includes three files containing biometrics, individual sizes, and abundances/densities per tow, collected using a lined Digby scallop dredge at depths of 25-35 meters. Data is updated every one to two years, though specific row and column counts are not provided in the input.