The resource contains summary data from 30 interviews undertaken of key stakeholders in Australia's fisheries and aquaculture sectors in 2022-23. Participants included officers in management agencies, sector representative bodies, research agencies as well as operators of small and large seafood firms involved in production and/or post-harvest or retailing of Australian-produced seafood. Participants are not identified. Interview topics covered the experiences of those interviewed on the COVID-19 pandemic and the disruptions it caused their sectors of Australia's fisheries and aquaculture, as well as their observations of what are barriers and enablers of better preparedness to future disruptions. Topics included: Types of disruptions experienced (B); Responses (C); and Barriers and enablers to better future preparedness. The interview data was summarised using Microsoft Co-pilot using prompts to summarise responses to an individual question. The research was undertaken under University of Tasmania’s Human Research Ethics Committee approval (ref. H27649). The full research project report is available here: https://www.frdc.com.au/project/2021-042.

The Denman Marine Voyage (DMV) brought together researchers from the Australian Antarctic Program Partnership (AAPP – AAS4631, Chief Investigator Dr Laura Herraiz-Borreguero), the Australian Centre for Excellence in Antarctic Science (ACEAS – AAS4630, Chief Investigator Prof. Matthew King), Securing Antarctica’s Environmental Future (SAEF – AAS4628, Chief Investigator Prof. Steven Chown), and the Australian Antarctic Division (AAD – AAS4636 and 4556 Chief Investigators Dr So Kawaguchi and Dr Leonie Suter), on a highly collaborative, multidisciplinary research voyage aboard RSV Nuyina to the Denman Glacier region and Shackleton Ice Shelf. The voyage was the first dedicated marine science voyage for RSV Nuyina and represented a significant milestone for the Australian Antarctic Program. This voyage report provides information for the voyage including: - Voyage summary and itinerary - Weather conditions during DMV - Participant list (science team, technicians, media team, medical team, ship crew) - High level science objectives for each of the parties onboard (AAD, AAPP, ACEAS, SAEF) - Individual reports for each scientific working group onboard (background, objectives, methods, report on activities, preliminary results (where relevant)), data management plans, acknowledgements, references) - Media program - ACEAS Outreach - Appendix, with Supplementary Material to be separate to the main report.

This dataset is derived from a comparative study evaluating six DNA extraction methods for their efficiency in recovering diatom sedimentary ancient DNA (sedaDNA) from Antarctic marine sediments. Sediment samples were collected from two sites: U1536C (Scotia Sea, West Antarctica) and KC02 (Sabrina Coast, Totten Glacier Region, East Antarctica). Each of the six extraction methods was applied to the same set of samples. Following shotgun metagenomic sequencing, the methods were assessed based on metrics such as diatom DNA recovery, average fragment length, and taxonomic diversity. The purpose of the study was to identify the optimal extraction approach for maximizing the yield and quality of diatom sedaDNA, thereby improving its utility for paleoenvironmental reconstruction.

This dataset is presented as an Excel spreadsheet containing data that were collected and analysed for the project "𝗞𝗶𝗻𝗲𝘁𝗶𝗰𝘀 𝗼𝗳 𝗻𝗶𝘁𝗿𝗮𝘁𝗲 𝗮𝗻𝗱 𝗮𝗺𝗺𝗼𝗻𝗶𝘂𝗺 𝘂𝗽𝘁𝗮𝗸𝗲 𝗯𝘆 𝘀𝗲𝗮𝘄𝗲𝗲𝗱𝘀: 𝗮 𝗴𝗹𝗼𝗯𝗮𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀” published in 𝘉𝘰𝘵𝘢𝘯𝘪𝘤𝘢 𝘔𝘢𝘳𝘪𝘯𝘢 by Hurd, CL, Lush H, Gannon T and Britton (2027). Data were collected between May 2025 and July 2025 from published studies on the uptake kinetics of nitrate (NO₃⁻) and ammonium (NH₄⁺) by marine macroalgae from the phyla Chlorophyta, Heterokontophyta and Rhodophyta. Articles were identified through searches on Google Scholar and ISI Web of Science. Each study contained data obtained from laboratory experiments on the rate of Dissolved Inorganic Nitrogen (DIN) uptake rate at a range of DIN concentrations. A total of 82 published studies were located, with 532 distinct data entries. Values of the Michaelis-Menten kinetic constants maximum uptake rate (Vmax) and the half saturation constant (Ks) were extracted from studies that reported saturating uptake, and cases where the pattern of uptake with concentration was linear or biphasic were also recorded. For each study, metadata was extracted and recorded that included: taxonomic information (phylum, order, genus and species), functional group using Steneck and Dethier (1994), the experimental subject (species and algal tissue used e.g. apical, basal), habitat of origin (subtidal, intertidal, or cultured), season of collection, and geographic coordinates of the study location (latitude and longitude). Each of the 82 studies in this dataset includes the full reference (author and year) and a functional DOI where available (as of November 2025).

This dataset contains stable isotope and tracking data from adult female Antarctic fur seal collected at three breeding colonies across the Southern Ocean: • Marion Island (2008–2018) • Bird Island, South Georgia (2008–2012) • Cape Shirreff, South Shetland Islands (2008–2012) The dataset includes: • Stable isotope data from whole blood and whiskers • Compound-specific amino acid isotope data (δ¹⁵NAA) from whole blood • GLS-derived tracking and environmental data Samples were collected from adult female seals captured between February and April prior to winter migration. Whole blood samples provide dietary information integrated over approximately 2–3 months, while sequential whisker sections provide longer-term isotopic records spanning multiple years. Bulk stable isotope values (δ¹³C and δ¹⁵N) and compound-specific isotope analysis of amino acids (CSIA-AA) provide information on trophic ecology and foraging habitat across multiple temporal scales, from recent feeding behaviour to multi-year dietary histories recorded in whiskers. The dataset also includes light-based geolocation (GLS) tracking data from adult females equipped with geolocator loggers during the inter-breeding migration period. Tracking variables include timestamps (GMT), estimated geographic positions (latitude and longitude), uncertainty metrics, and associated environmental variables such as sea surface temperature (SST) and absolute dynamic topography (ADT), where available.

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.

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.

Dataset collected during two field campaigns in the same Antarctic fast ice site (Cape Evans, November/December 2018-19) as part of the AGP and NZARI collaboration over the grant "On Thin Ice: An in situ surveillance system for sea-ice microbial communities". The fieldwork was designed to test the scientific potentials of the IMAS/AGP developed under-ice HI system for mapping temporally dynamic and spatially varying under-ice habitats. The dataset consists of 3 terabytes of HI data acquired both in-situ under a wide range of natural and manipulated light conditions, as well as ex-situ with data acquired using a newly developed ice core scanning approach. The in-situ data are in the form of scanned transects acquired with a HI system capturing transmitted natural sunlight while being deployed beneath sea-ice. The ex-situ data was collected using external light sources illuminating horizontal and vertical sections of extracted ice cores. The dataset includes auxiliary data such as RGB imagery, TriOS RAMSES under-ice irradiance, sky irradiance, and any other measurements or information required to process the data. Other auxiliary data collected include filtered samples of ice core sections for fluorometric Chlorophyll-a (Chl-a) extraction, pigment composition via HPLC (to be processed), and particulate absorption spectra. Media footage (e.g., under-ice ROV videography, under-ice 360 videos, campaign photography of the systems and science) is also included. The dataset includes pre-processed high-resolution under-ice imagery collected from the fast-ice zone using a Sony a6300 camera mounted on a custom under-ice sled system. The imagery was acquired to document the sea-ice underside and analyse spatial patterns associated with amphipod communities from a near-horizontal, grazer-level perspective (publications pending).