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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
24,513 datasets
Geoscience Australia Data provides a dataset on the geomorphological evolution of Lord Howe Island, a volcanic island rising over 800 meters. The data likely contains information on Late Quaternary submarine and subaerial carbonate sediments, including eolianite and beach deposits dated to marine oxygen isotope stage 5. It covers the island's unique position at the latitudinal limit to coral reef growth and the development of its fringing reef.
Three areas across the Torres Strait-Gulf of Papua shelf form a transect from the Fly River Delta to the shelf edge near the Great Barrier Reef. The dataset, from Geoscience Australia, contains detailed study of sediments and benthic fossil biota, with a foraminiferal preservation scale developed to assess sediment reworking. Benthic foraminiferal species show a strong correlation to water depth and environmental variables like carbonate mud, gravel, and organic carbon flux.
Geoscience Australia's GA4848 dataset contains bathymetry data for Elizabeth and Middleton Reefs within the Lord Howe Marine Park. The data includes two 5-meter resolution grids covering a combined area of 312 km², collected via multibeam sonar from January 31 to February 6, 2020. This survey was a collaborative project funded by the National Environmental Science Program Marine Biodiversity Hub to establish baseline information for benthic habitats.
Geoscience Australia's review synthesizes physical and biological information for the Lord Howe Rise region in the Tasman Sea. The dataset covers a large area of 1.95 million km², spanning latitudes from 18.4°S to 40.3°S, and describes topographically complex features including soft sediment basins, plateaus, seamounts, and guyots. Biological data from the TAN0713 and NORFANZ surveys show differences in species assemblages between raised and subdued bathymetric features, influenced by substrate and depth-related variables.
A study presenting a rapid method for seabed habitat classification using sidescan sonar and towed camera-sled data. The data was collected within the Point Harris Marine Reserve on the northern coast of San Miguel Island, California. The method enables preliminary seabed characterizations to be interrogated and mapped within hours of data collection.
Geoscience Australia Data provides results from incubation experiments studying the re-establishment of vertical bacterial and foraminiferal zonation in intertidal sediments after sieving. The dataset includes counts of living foraminifera and measurements of redox-sensitive pore water elements, with observations spanning a 49-day incubation period. Data was last updated on 2026-04-20.
Lord Howe Island shelf data examines infaunal biodiversity and ecological function using high-resolution multibeam sonar and sediment sampling. The dataset likely contains information on species assemblages, sediment composition, and seabed topography across three geomorphic zones. It was published by Geoscience Australia Data and last updated on 2026-04 20.
A dataset from the Australian Ocean Data Network describes a novel concurrent sampling method for planktobenthic and benthic fauna. The Mounted Assembly for Planktobenthic Sampling (MAPS) was deployed on the Carnarvon Shelf in Western Australia, successfully collecting a wide variety of epibenthic, infaunal, and planktobenthic organisms. The method uses a tri-layered net with a seafloor-triggered mechanism attached to an epibenthic sled.
Southeast Tasmania shelf bathymetry is visualized in a flythrough movie derived from multibeam sonar collected in 2008 and 2009. The video highlights rock reefs as benthic habitats, including low-relief reefs on Freycinet and Tasman Peninsula and high-relief reefs around Hippolyte Rocks. Survey work was a collaboration between Geoscience Australia and the University of Tasmania's Institute for Marine & Antarctic Studies.
38kHz Simrad ES60 acoustic data collected during commercial fishing of spawning blue grenadier off the Tasmanian west coast in 2002. The data was gathered by the FV Ocean Dawn as part of a FRDC project, with complementary sets from two other vessels. Acoustic data is held by CSIRO Marine Science Acoustic Group in Hobart.
A desktop study from the Australian Ocean Data Network investigates potential links between marine seismic surveys and commercial fish catch rates in Bass Strait and the Gippsland Basin. The analysis employs three novel generalized linear models using natural splines to examine relationships with seismic operations and environmental variables. The study, updated in April 2026, found no clear or consistent relationship between seismic surveys and subsequent fisheries catch rates.
Victoria's forest cover changes from 1972 to 1987 are mapped in this dataset. Forest cover is defined as woody vegetation over 2 meters tall with crown cover greater than 10%. The smallest mapped unit is fifteen hectares, and the data was published by the Department of Energy, Environment and Climate Action.
62 non-quota shellfish stocks are assessed for Good Environmental Status based on national stock assessments from 1990 to 2019. The dataset, managed by the Marine Environmental Data & Information Network, aggregates results from multiple scientific reports and assessments. It supports the UK Marine Strategy's evaluation of fishing pressure and sustainable yield for commercially exploited shellfish.
ORNL_CLOUD provides a dataset mapping mangrove forest extent for 2016 and tracking change from 2000 to 2016 across major river deltas in eight countries. It uses a 30-meter resolution methodology combining Landsat, Sentinel-1, and SRTM data to classify landcover and calculate NDVI anomalies for detecting loss or gain. The dataset is available on multiple platforms, including NASA EarthData and Data.gov.
Geoscience Australia's pre-competitive marine geoscience information includes bathymetry compilations, seabed geomorphology, and sediment stability maps. This spatial data supports planning and investment decisions across multiple ocean sectors. The data is delivered via the Australian Marine Spatial Information System (AMSIS), a web-based interactive mapping and decision support system.
Thousands of high-resolution still images taken along the Eastern and Western margins of Australia document biological features called lebensspuren. The data was compiled by the Australian Ocean Data Network and used to correlate abiotic factors with biological activity. The study evaluates whether quantifying lebensspuren from photographs is a suitable technique for measuring biodiversity in deep-sea soft sediments.
UN-HABITAT conducted spatial profiling in 2023 for UNHCR's Co-PROSPER programme in Herat and Kandahar cities. The project mapped city resources, services, and settlement areas for Internally Displaced Persons (IDPs) and returnees. The analyzed data supports evidence-based programming for upgrading settlements and providing durable solutions.
Alan Salazar's dataset documents the microbiological processing of fecal samples from nocturnal monkeys (Aotus genus) in the Peruvian Amazon. It contains chronological records of laboratory activities and sample counts, providing traceability from collection to bacterial isolation. The data, last updated on 2026-04 27, supports analyses of processing dynamics and Klebsiella spp. isolate recovery.
Fisheries Queensland provides monthly data on interactions with Threatened, Endangered and Protected species reported by fishing operations using the NX fishing symbol. The data includes fields for Year, Month, Species, Management Region, Number of Animals, and Fate, and is submitted through mandatory logbook reporting. This data, last updated in April 2026, is published under a CC-BY-4.0 license by the Queensland Department of Primary Industries.
Original 2026 data from Ondřej Kauzál and the Institute of Vertebrate Biology, Czech Academy of Sciences, examines corticosterone levels in tail feathers. The dataset includes individual measurements for 46 birds across 25 species, combining field-collected fCORT, body mass, and feather metrics with literature-derived life-history traits. It supports analysis of stress physiology in relation to feather growth rate, fault bar occurrence, and migration distance.