This dataset contains the traditional and effective nitrate, phosphate, and silicate fluxes in Lombok, Ombai, and Timor passages, Indian Ocean. Fluxes are depth-resolved and cross-strait integrated, for the 2004-2006 time period of the INSTANT field program. In some cases depths extend below the functional sill depths, due to the moorings being in deeper water. Negative fluxes are westward, towards the Indian Ocean. Files are in self-describing netCDF format, as follows: (1) lombok_trad.nc. Traditional nutrient fluxes for Lombok Strait. (2) lombok_eff.nc. Effective nutrient fluxes for Lombok Strait. (3) ombai_trad.nc. Traditional nutrient fluxes for Ombai Strait. (4) ombai_eff.nc. Effective nutrient fluxes for Ombai Strait. (5) timor_trad.nc. Traditional nutrient fluxes for Timor Passage. (6) timor_eff.nc. Effective nutrient fluxes for Timor Passage.

Secchi disk data collected by students on the RV Investigator training voyage (Transit IN2018_T01).

Trace element data collected from 18 stations near the Mertz Glacier on the 2019 ENRICH voyage. Sea water was collected using a 12-bottle trace metal rosette (TMR) and acidified for analysis back in Hobart. Samples were measured using an offline seaFAST pre-concentration system and Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) at the University of Tasmania. This data contributed to Smith et al., Circumpolar Deep Water and shelf sediments support late summer microbial iron remineralisation in Global Biogeochemical Cycles (2021).

This file contains data and associated R code for producing the figures, tables and analysis/models within the manuscript Ferderer et al., Carbonate chemistry fitness landscapes inform diatom resilience to future perturbations. Data was collected at IMAS by Aaron Ferderer.

An increasing number of studies are considering Fe and ligand concentrations, providing data of trace element availability across the remote Southern Ocean region (Ardiningsih et al., 2021, Gerringa et al., 2020, Hassler et al., 2017, Thuroczy et al., 2012, Thuroczy et al., 2011, Caprara et al., 2016 and references therein). However, studies seldom focus on polar coastal environments which are especially sensitive to climate-induced changes. To anticipate how these changes may impact Fe availability, we must first understand the drivers of ligand supply to the Antarctic coast and offshore. The newly compiled Southern Ocean Ligand (SOLt) Collection includes all publicly available Fe complexation datasets for the Southern Ocean including dissolved Fe concentrations, Fe-binding ligand concentrations, and complexation capacities for 25 studies between 1995 - 2019.

We compare the formulation and emergent dynamics of 11 CMIP6 IPCC marine biogeochemical models. We find that the largest source of uncertainty across model simulations of marine carbon cycling is grazing pressure (i.e. the phytoplankton specific loss rate to grazing). Variability in grazing pressure is driven by large differences in zooplankton specific grazing rates, which are not sufficiently compensated for by offsetting differences in zooplankton specific mortality rates. Models instead must tune the turnover rate of the phytoplankton population to balance large differences in top-down grazing pressure and constrain net primary production. We then run a controlled sensitivity experiment in a global, coupled ocean-biogeochemistry model to test the sensitivity of marine carbon cycling to this uncertainty and find that even when tuned to identical net primary production, export and secondary production remain extremely sensitive to grazing, likely biasing predictions of future climate states and food security.

The CANYONS voyage on RV Investigator aimed to investigate past and present processes governing the flow pathways, formation and geochemical signatures of Antarctic Bottom Water (AABW) off Cape Darnley, East Antarctica. The proposed survey area was focussed on the Wild and Daly canyons and the adjacent sediment drifts - the Daly and ‘Armand’ drifts. The survey aimed to collect systematic multibeam bathymetry and sub-bottom profiles across the region to support collection of long sediment cores (up to 24 m), Kasten cores and multicores, CTDs (conductivity- temperature-depth instruments) and deep towed camera transects. This dataset reports analyses of particulate organic carbon and biogenic silica from two CTD casts conducted in the Cape Darnley region. The voyage was terminated after a medical evacuation so only two CTD stations were occupied. These data were generated by IMAS Honour student Veda Surapaneni, and were included in her honours thesis. The dataset also includes hydrochemistry, DIC, Alkalinity and pigment data generated by CSIRO, although these data are published in other national repositories and reproduced here for completeness and convenience only.

The CANYONS voyage on RV Investigator aimed to investigate past and present processes governing the flow pathways, formation and geochemical signatures of Antarctic Bottom Water (AABW) off Cape Darnley, East Antarctica. The proposed survey area was focussed on the Wild and Daly canyons and the adjacent sediment drifts - the Daly and ‘Armand’ drifts. The survey aimed to collect systematic multibeam bathymetry and sub-bottom profiles across the region to support collection of long sediment cores (up to 24 m), Kasten cores and multicores, CTDs (conductivity- temperature-depth instruments) and deep towed camera transects This dataset reports analyses of samples collected from the surface uncontaminated "underway" seawater supply on R/V Investigator. The samples were collected while the ship transited from Perth to Cape Darnley. A suite of samples were collected in order to characterise surface ocean particles across the oceanographic gradients that characterise the Southern Ocean. these data were generated by IMAS Honour student Veda Surapaneni, and were included in her honours thesis.

The following dataset contains particulate iron data collected during the 2018 occupation of the CLIVAR SR03 (GEOTRACES GS01) transect south of Tasmania, Australia. This data is used ancillary to measurements of dissolved iron in the same transect for a manuscript in preparation by Traill et al. (2023). While modelling efforts have furthered our understanding of marine iron biogeochemistry and its influence on carbon sequestration, observations of dissolved iron (dFe) and its relationship to physical, chemical and biological processes in the ocean are needed to both validate and inform model parameterisation. Where iron comes from, how it is transported and recycled, and where iron removal takes place, are critical mechanisms that need to be understood to assess the relationship between iron availability and primary production. To this end, hydrographic and trace metal observations across the GO-SHIP section SR3, south of Tasmania, Australia, have been analysed in tandem with the novel application of an optimum multiparameter analysis. From the trace-metal distribution south of Australia, key differences in the drivers of dFe between oceanographic zones of the Southern Ocean were identified. In the subtropical zone, the source of dFe was constrained by waters advected off the continental shelf, and by remineralization in recirculated modified mode and intermediate water masses of the Tasman Outflow. In the subantarctic zone, the seasonal replenishment of dFe in Antarctic surface and mode waters appears to be sustained by iron recycling in the underlying mode and intermediate waters. In the southern zone, the dFe distribution is likely driven by dissolution and scavenging by high concentrations of particles along the Antarctic continental shelf and slope, entrained in high salinity shelf water. This approach to trace metal analysis may prove useful in future transects for identifying key mechanisms driving marine dissolved trace metal distributions.

During the RV Investigator Eddy voyage (IN2016_V02), we sampled a mesoscale cyclonic and anticyclonic eddy in the Southern Ocean south to Tasmania. We have collected water samples to analyse concentration of phytoplankton biomass and nutrients.