IMAS Metadata Catalogue
BIODIVERSITY FUNCTIONS
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This dataset compiles spatial environmental data layers from various sources used for predicting distributional patterns of Antarctic seafloor biodiversity (Jansen et al, in prep). All data layers are projected to polar stereographic (EPSG:3031) at a resolution of 2km. Data layers include seafloor depth, slope and topographic position index, distance to the nearest underwater canyon head, ocean surface net primary productivity, seafloor water current speeds, temperature and salinity, and modelled availability of ocean surface-derived food at the seafloor.
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This dataset contains image annotations for 21 Antarctic research campaigns between 1985 and 2019, recorded as part of the Antarctic Seafloor Annotated Imagery Database (AS-AID). This snapshot of the AS-AID annotations comprises of a total of 632,252 expert annotations. Annotations are based on the Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI) classification scheme and have been reviewed by experts. Three annotation sets exist for each campaign: point grid annotations of 108 points per image, bounding box annotations for mobile fauna, and bounding box annotations for select benthic species which are classified as Vulnerable Marine Ecosystem species. All annotations are also accessible through Squidle+ by following this persistent link: https://squidle.org/geodata/explore/map?filters=%7B%22platform_ids%22%3A%5B%2222%22%5D%7D This dataset can be used to investigate species distributions, community patterns, provide a reference to assess change through time, and can be used to train algorithms to automatically detect and annotate marine fauna.
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This dataset contains images from 21 individual Antarctic research campaigns between 1985 and 2019, collated as part of the Antarctic Seafloor Annotated Imagery Database (AS-AID). A total of 632,252 expert annotations are associated with these seafloor images. This dataset is a static snapshot of the AS-AID images at the time of publication of the data descriptor. All images are also accessible from https://data.imas.utas.edu.au/imagery/IMAS_Antarctic/ The dataset contains images and associated tracklog metadata for each research campaign.
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This record provides an overview of the NESP Marine and Coastal Hub Emerging Priorities project "Assessing impacts of harmful algal bloom events on South Australian benthic habitats". For specific data outputs from this project, please see child records associated with this metadata. -------------------- In early 2025, South Australia experienced an unprecedented harmful algal bloom (HAB) dominated by Karenia species, with high concentrations in Gulf St Vincent and Spencer Gulf. These gulfs support diverse benthic habitats, iconic biodiversity, and important commercial and recreational fisheries. The rapid development of the bloom and challenges associated with accessing affected areas limited timely assessment of impacts to benthic ecosystem. This Emerging Priorities project will assess HAB impacts by repeating recent benthic surveys at impacted sites across both gulfs. The project will take advantage of existing pre-bloom baseline data, allowing robust before-after comparisons with minimal confounding by seasonal or inter-annual trends. The assessment will integrate towed-camera habitat imagery, stereo-BRUV fish assemblage surveys, benthic trawl data and environmental measurements. Towed-camera resurveys will provide post-bloom imagery, and visual and quantitative assessments of habitat condition. Repeat stereo-BRUV surveys will assess changes in relative abundance, richness and composition of fish and larger invertebrate communities across seagrass and sand habitats. The findings will inform the South Australian HAB Science Program, support development of HAB-related coastal habitat monitoring, and provide evidence for state and Commonwealth agencies to prioritise future monitoring, research and management actions. Outputs • Post-HAB benthic imagery [imagery] • Quantitative assessment of impacts on benthic habitat and fish communities [dataset] • Final technical report [written]