In collaboration with the Tasmanian State Emergency Service, water level monitoring instruments were installed to enable the collection of data in four estuaries identified as being vulnerable to coastal and compound flooding: Derwent Estuary, Huon Estuary, Georges Bay, and Macquarie Harbour. These instruments recorded fluctuations in water levels due to the combined influences of tide, river discharge, and weather events. The effects of the January 2022 Hunga Tonga-Hunga Ha’apai tsunami following a significant submarine volcanic explosion was also recorded in three out of the four estuaries. The datasets, comprising reduced water level observations, predicted water level, and residuals, are available from the IMAS Data Portal. Water level observations of varying duration were recorded between November 2020 – November 2022 for 14 sites in four Tasmanian estuaries. This work was undertaken by Karen Palmer as part of a PhD candidature at the University of Tasmania under the supervision of Dr Christopher Watson, Dr John Hunter, Assoc Prof Hannah Power (University of Newcastle), and Dr Rebecca Harris.

Snook (Sphyraena novaehollandiae) commercial catch (in tonnes), commercial effort (in number of days fished), and commercial Catch Per Unit Effort (CPUE, in kg/day fished) by fishing season per NRE scalefish fishery fishing block for all gear types combined. The dataset was provided by the Tasmanian Wild Fisheries Assessments team at IMAS. Tasmanian wild fisheries stock assessments are conducted by the Fisheries and Aquaculture Centre of the Institute of Marine and Antarctic Studies (IMAS) on behalf of the Tasmanian Department of Natural Resources and Environment (NRE Tas). Under the Sustainable Marine Research Collaboration Agreement (SMRCA), IMAS conduct fishery assessments, provide expert management advice and undertake scientific research on Tasmanian fisheries issues for NRE Tas.

Bluethroat wrasse (Notolabrus tetricus) commercial catch (in tonnes), commercial effort (in number of days fished), and commercial Catch Per Unit Effort (CPUE, in kg/day fished) by fishing season per NRE scalefish fishery fishing block for all gear types combined. The dataset was provided by the Tasmanian Wild Fisheries Assessments team at IMAS. Tasmanian wild fisheries stock assessments are conducted by the Fisheries and Aquaculture Centre of the Institute of Marine and Antarctic Studies (IMAS) on behalf of the Tasmanian Department of Natural Resources and Environment (NRE Tas). Under the Sustainable Marine Research Collaboration Agreement (SMRCA), IMAS conduct fishery assessments, provide expert management advice and undertake scientific research on Tasmanian fisheries issues for NRE Tas.

Phytoplankton indirectly influence climate through their role in the ocean biological carbon pump. In the Southern Ocean, the subantarctic zone represents an important carbon sink, yet variables limiting phytoplankton growth are not fully constrained. Using three shipboard bioassay experiments on three separate voyages, we evaluated the seasonality of iron (Fe) and manganese (Mn) co-limitation of subantarctic phytoplankton growth south of Tasmania, Australia. We observed a strong seasonal variation in a phytoplankton Fe limitation signal, with a summer experiment showing the greatest response to Fe additions. An autumn experiment suggested that other factors co-limited phytoplankton growth, likely low silicic acid concentrations. The phytoplankton responses to Mn additions were subtle and readily masked by the responses to Fe. Using flow cytometry, we observed that Mn may influence the growth of some small phytoplankton taxa in late summer/autumn, when they represent an important part of the phytoplankton community. In addition, Mn induced changes in the bulk photophysiology signal of the spring community. These results suggest that the importance of Mn may vary seasonally, and that its control on phytoplankton growth may be associated with specific taxa.

The data result from an analysis of gridded satellite altimetry time series of ice surface elevation for the Antarctic Ice Sheet. Multiple linear regression is performed, including parameters associated with the cumulative sum of each of the Southern Annular Mode (SAM) and El Nino/Southern Oscillation (ENSO). The gridded data include the original data and the derived parameters and statistical values. Four grids are provided. Two grids are from separate regressions performed on data after applying one of two different spatial smoothing filters (10 km and 200 km Gaussian functions). Two further grids are from regressions after subtracting one of two firn densification models from the 10 km-smoothed altimetry data.

This dataset contains the general location of five restoration projects around Tasmania: Angasi oyster (Ostrea andasi), Giant Kelp (Macrocystis pyrifira), seagrass habitat (using Environmentally Friendly Moorings), saltmarsh fish habitat, and wetland restoration. The locations don't present the exact restoration sites.