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Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
27,527 datasets
A report testing links between physical and biological datasets for benthic habitats in Australia's Gulf of Carpentaria. The analysis is based on physical factors like sediment composition, mobility, water depth, and organic carbon flux. Results from the Australian Ocean Data Network allow extrapolation to the wider Northern Planning Area for marine management.
A seabed classification and habitat map created from Pleiades remote sensing data. The data was produced as part of the Darwin Plus funded project 'Mapping Anguilla’s ‘Blue Belt’ Ecosystem Services'. The project aimed to develop local capacity for marine resource assessments and extend mapping into deeper waters.
Sediment profile images and derived biological and physical parameters from a controlled fishing impact experiment in the Fladen Grounds. The dataset includes measurements from three time points—before impact, immediately after, and eight months after—collected during two research surveys in April and November 2015. Data were gathered by the RV Cefas Endeavour within six experimental boxes, comprising three treatments and three controls.
Floristic and soil data from 420 subplots across six dune stages in the Southwest Australian biodiversity hotspot, collected between 2011 and 2012. The dataset accompanies a 2016 paper investigating plant community changes in response to long-term soil development. It includes plant species counts, canopy cover estimates, and a range of soil chemical and physical properties.
NESP Marine and Coastal Hub project 3.3 compiled inventories of existing environmental and cultural data for Australia's six priority offshore wind regions. The project outputs include four database inventories with more than 500 publications across 16 impact types, seabed and oceanographic information, and mapped extents of priority species. This work was conducted by the Australian Institute of Marine Science and Deakin University in 2023-2024 to support regulatory assessment under the EPBC and Offshore Electricity Infrastructure Acts.
Middle Ordovician data from five boreholes in the Canning Basin, Western Australia, integrates palynological, petrographic, molecular, and stable isotopic analyses. The dataset was published by the Australian Ocean Data Network and last updated in June 2026. It focuses on the Goldwyer Formation to determine depositional environments and microbial diversity during a major biodiversification event.
Scout Ecology's 2024 desktop assessment reviewed vegetation mapping across 33 protected areas in the Castlereagh Administrative Area of NSW. The project identified the likelihood of occurrence for Threatened Ecological Communities (TECs) to create a consolidated spatial layer and field guide for management. Most underlying vegetation mapping was completed between 1998 and 2012 at a broad scale, resulting in low confidence for precise TEC assignment.
A research data sheet describing the development and performance of an ePatch for wound healing. The ePatch is composed of polyacrylamide hydrogel augmented with MXene, silver nanowires, and resveratrol. It was authored by Jing Feng and last updated on June 3, 2026.
VIIRS/NPP Vegetation Indices 16-Day L3 Global 0.05Deg CMG V001 is a decommissioned satellite data product providing global vegetation indices. It offers three primary indices—Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2)—along with associated reflectance and quality layers. The data is composited from the best available pixels over a 16-day period at a 0.05-degree resolution.
VNP13C2 Version 1 provided monthly, global vegetation indices at 0.05-degree resolution from the Suomi NPP satellite's VIIRS instrument. Its algorithm produced three primary indices—NDVI, EVI, and EVI2—alongside reflectance bands and quality layers. This dataset was designed to continue the MODIS legacy but has been officially decommissioned in favor of improved Version 2 products.
NSW Department of Climate Change, Energy, the Environment and Water provides version 3.1 of the NSW (Mitchell) Landscapes dataset, superseding previous versions. It includes a new attribute for biometric over-cleared landscape status and corrects typographic errors. The dataset maps landscape boundaries derived from geologic, geomorphic, and pedologic data, with version 3 incorporating revisions based on SPOT 5 imagery.
ACTGOV Threatened Fauna Habitat is a geospatial dataset from the ACT Government showing known and predicted habitat for terrestrial mammals, reptiles, birds, and invertebrates listed as threatened under the Nature Conservation Act 2014 and the EPBC Act 1999. The dataset includes habitat areas for over 20 species, such as the Canberra Grassland Earless Dragon and the Greater Glider, based on verified records and vegetation modeling. It is provided by the ACT Government Geospatial Data Catalogue (ACTmapi) and was last updated in May 2026.
A 2023-2024 project by CSIRO and the Australian Ocean Data Network compiled an inventory of approximately 250 data records for 15 priority seabird, shorebird, and marine mammal species relevant to the Gippsland offshore renewable energy area. The inventory was created through workshops, surveys, and literature searches, identifying datasets on tracking, banding, diet, and species distribution from about 30 data holders. It aims to improve data discoverability for environmental assessment and regulatory processes.
124 seabed samples from the eastern Bonaparte Gulf collected by Geoscience Australia in 2009/2010 contain 74 physical and chemical variables. The dataset was analyzed using clustering methods to characterize sediment properties and their influence on benthic habitats. Results were presented at the AMSA2013 Golden Jubilee Conference.
268 distribution records model the current and future habitat of the endangered medicinal plant Sinopodophyllum hexandrum. The study by Gong-Han Tu, last updated in 2026, projects a 61.70% increase in suitable habitat area by the 2090s under the SSP585 climate scenario. It identifies altitude, minimum temperature, and annual precipitation as dominant factors, with high-risk areas largely outside existing nature reserves.
Palynological data from 20 core samples taken from two wells on Bathurst Island, Northern Territory, Australia. The results are presented in a bulletin by the Australian Ocean Data Network, describing spores, pollen, and microplankton. The study differentiates 104 dinoflagellate cyst and 16 acritarch species, and describes 40 spore and 23 pollen species.
Australia's offshore jurisdiction, an area larger than its landmass, has been mapped using multibeam swath-mapping systems. The description details surveys conducted from the 1960s to 1997, including work by HMAS Cook, US institutions, and AGSO using vessels like R.V. Melville and R.V. L'Atalante. These efforts have produced bathymetry contour maps and sidescan sonar imagery, revolutionizing geological understanding and aiding fisheries research.
Scottish underwater TV surveys estimate the distribution and abundance of Norway lobster (Nephrops norvegicus) burrows from 2007 onwards. The data likely contains records of burrows, Nephrops, and other benthic fauna from footage taken at specified stations within Nephrops Functional Units. Underwater camera footage is captured via a towed sledge with a standardized 10-minute tow duration.
Rockall, a 19-metre-high islet 180 miles west of St. Kilda, represents Scotland's only offshore shallow water ecosystem. This dataset provides high-resolution bathymetry data collected from 2011 to 2012, mapping the submerged continental plateau around Rockall and Helen's Reef. The data likely contains detailed seafloor elevation measurements from a multibeam echosounder survey conducted for fisheries and conservation research.
Australian Ocean Data Network hosts an overview of research on interactions between macro- and microorganisms in marine sediments. The resource focuses on coastal, estuarine, and deep-sea environments, covering experimental and modeling approaches. It was last updated on 2026-06-23.