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.  

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.

The demersal fish assemblages on the Kerguelen Plateau has changed through time. This study aimed to detect, quantify, and map these changes. This study uses existing data collected from the Random Stratified Trawl Survey (RSTS) program administered through the Australian Antarctic Divisions (AAD). Raw RSTS data between 2000 and 2016 was extracted from the AAD database. The RSTS data contains information on the abundance (catch per unit effort, CPUE) on fish. RSTS data were paired with environmental data to be modelled. Hierarchical models of species communities (HMSC) were used to make inferences and predictions in the changes of demersal fish distribution. This record contains all the environmental data, R code, and outputs from this project. Raw RSTS data needs to be requested from the AAD under the authorization of AFMA.

Climate change is already influencing the worlds oceans. The Kerguelen Plateau as been identified as a climate change hotspot. This study aimed to predict and map how climate change will impact the distribution of demersal fishes. This study uses the published modeled (see https://doi.org/10.25959/4GVK-RM21) to take in predicted oceanographic variables under various IPCC climate change predictions. The oceanographic variables are provided by the FESOM model. Hierarchical models of species communities (HMSC) were used to make predictions in the demersal fish distribution for the 2020s, 2030s, 2040s, and 2050s. Predictions were mapped to explore the regions of change. This record contains all the environmental data, R code, and outputs from this project. Raw RSTS data needs to be requested from the AAD under the authorization of AFMA.

This project aimed to identify and map critical habitats for Australian sea lions (Neophoca cinerea) to assess the ecological value of different habitats, and identify risks to their populations. Video imagery, GPS, time-depth and accelerometer/magnetometer data was captured from eight adult female Australian sea lions from Olive Island (n=4) on the western Eyre Peninsula and Seal Bay (n=4) on Kangaroo Island in South Australia. Sea lions were instrumented with animal-borne cameras with integrated accelerometers/magnetometers (CATS Cam, 135 x 96 x 40 mm, 400 g) and satellite-linked GPS loggers with integrated time-depth recorders (SPLASH-10, Wildlife Computers, 100 x 65 x 32 mm, 200 g). Sea lions were sedated and anaesthetised and bio-logging instruments were glued to the pelage on the dorsal midline. Bio-logging instruments were recovered after a single foraging trip (~1-6 days). The data collected in this project provides fundamental information on critical benthic habitats for Australian sea lions, the differences in foraging behaviour of individual sea lions, and their prey preferences. This information improves our understanding of threats to sea lion populations and will support future conservation actions to recover the species.